615 results on '"*STREETSCAPES (Urban design)"'
Search Results
2. Assessing streetscape development effects on walking and cycling in historic contexts: the case study of Afrang district, Port Said, Egypt.
- Author
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ElSerafi, Tamer
- Subjects
STREETSCAPES (Urban design) ,WALKABILITY ,CITIES & towns ,METHODOLOGY - Abstract
Purpose: Urban mobility has substantially evolved in several western countries, shifting from interest in road expansion strategies to cater motorized movement to the emphasis on sustainable mobility. This is, however, not the case in several developing countries that still try to accommodate vehicular flows in inner historic cities. This paper aims at providing an assessment framework that helps in evaluating the effect of streetscape development on the walking and cycling environment in historic contexts. Design/methodology/approach: This research follows a two-phase methodology. Phase 1 is the investigation of the literature review including the streetscape design, Sustainable Development Goals (SDGs) and indicators for the assessment of walking and cycling environment. This phase results in developing a set of indicators for the assessment. Phase 2 is the case study including, methods, steps and results of the assessment based on the output of Phase 1. This phase concludes with a discussion on the challenges and recommendations for the enhancement. Findings: The streetscape development in Afrang was insufficient and negatively affected the walking and cycling environment. It was motorized-oriented, instead of enhancing green mobility. The interventions led to more crowds, safety risks and less pleasant experience. Moreover, the car users' experience was enhanced initially; however, the traffic situation did not persist. A sustainable urban mobility approach is necessary to be implemented with consideration to the global level and the relation to SDGs. Originality/value: There is a gap in tackling the research problem both within the context of Port Said in particular and Egyptian context in general. Local authorities need a clear structured methodology to follow in the development of the streetscape. The assessment indicators gathered can be the basis for evaluating future plans. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Promoting Vernacularity in the Cities: Principles for Creating Livable Streets for People in Jordon.
- Author
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Alshawabkeh, Rami and Alhammad, Raghad
- Subjects
STREETSCAPES (Urban design) ,SUSTAINABILITY ,QUALITY of life ,ACQUISITION of data - Abstract
It is known that street elements influence the vernacularity and livability of urban spaces, the quality of life and the vitality of society everywhere in the world. Thus, there has been an urgent need to examine the quality and suitability of streets, specifically the commercial streets facing rapid developments and urbanization. Indeed, it is more so in Jordan. In this context, this research investigates the effect of physical characteristics of elements of livable streets where people can enjoy life and act freely. In other words, produce vernacularity. The research employs mixed methods; qualitative and quantitative methods within a case study. Data collection techniques include a desk study, direct observation and a questionnaire survey. The findings indicate that applying and paying attention to the characteristics such as color, shape, size, placement of the signs, colors of light, and light in general can achieve livable streets that promote vernacularity. The study suggests a framework to regulate the priorities of principles and the variables of streetscape elements, to help the decision-makers in municipalities and urban planners to bring about livable streets: in other words, promote vernacularity in cities. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Modeling Toponymic Change: A Multilevel Analysis of Street Renaming in Postsocialist Romania.
- Author
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Rusu, Mihai S.
- Subjects
- *
GEOGRAPHIC name changes , *STREET names , *STREETSCAPES (Urban design) , *REGIME change , *CITIES & towns - Abstract
Political geographers and sociologists working in the field of critical toponymies have demonstrated that renaming the streetscape follows invariably after a regime change. Scholars have barely gone beyond documenting the extent of toponymic change at the level of particular places, however, usually the capital cities of countries from the former socialist bloc and other postdictatorial societies. This article sets out to address toponymic changes at the country level, by examining the complete national street nomenclature in postsocialist urban Romania. For this purpose, a data set comprising the entire collection of urban street names in Romania, together with all the street name changes that occurred during postsocialism, was constructed from multiple sources (N = 37,076). A series of multilevel logistic regression analyses were performed to model statistically the effects of various street- and locality-level variables on postsocialist street renaming. The results of these multilevel logistic regression analyses indicate that toponymic revision after the fall of state socialism is shaped by the intersection of street-level properties (e.g., artery class and features regarding the street name itself) and locality-level characteristics (e.g., the historicity of urban status and the ethnopolitics played out at the level of each city and town). The article is the first to analyze the shifting political geography of urban nomenclatures at a national level based on a complete data set of street names. The analytical model advanced in this article, based on postsocialist Romania, could be used to inform similar research on other geographical settings and historical contexts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
5. Evaluating the Equity of Urban Streetscapes in Promoting Human Health—Taking Shanghai Inner City as an Example.
- Author
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Shao, Yuhan, Yin, Yuting, and Ma, Dongbo
- Subjects
ENVIRONMENTAL justice ,STREETSCAPES (Urban design) ,INNER cities ,ARTIFICIAL intelligence ,CITIES & towns ,IMAGE analysis - Abstract
Environmental justice research largely focuses on the allocation of public resources in terms of quantified distribution and accessibility. This study suggests that the quality of landscape equity, an important urban resource, should be evaluated as it typically appears as a combination of elements. This brings another perspective to the attention of landscape equity in addition to the provision equity: the equity in the quality and level of provision. From this perspective, this study explores the equitable role of streetscape qualities in promoting human physical, mental, and social health. Using street view images, questionnaires, artificial intelligence-based image analysis, geographic information system-based cluster analysis, and correlational analysis, the spatial distribution of health promotion streetscapes and health-influential streetscape elements were presented and compared within the scope of the Shanghai Outer Ring Road. The results disclosed an uneven distribution of streetscapes that can promote human health within research sites. Streets with poor health ratings are concentrated in the Huangpu, Hongkou, and Yangpu districts, primarily in the western part of Shanghai around Shanghai Railway Station, People's Square, and Yuyuan Garden, where the old city centre is located. Compared with the distribution of health-influential elements, less healthy streets are more likely to be accompanied by low visibility of 'vegetation' and a high proportion of 'buildings'. Streetscape design implications were then discussed in terms of providing people with equal health opportunities. Research outcomes inspired an essential quality perspective in health equity research, and it can be especially helpful when the provision and accessibility can hardly be moderated in high-density cities. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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6. Living with vernacular Queensland verandahs, 1860s-1930s
- Author
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Lewis, Alana
- Published
- 2023
7. Paired
- Author
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Pedersen, Erin
- Published
- 2021
8. 'L'Histoire se lit dans la rue': Urban streetscapes as sites of a fragmented identity in Colette Fellous's 'Avenue de France'
- Author
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Kearney, Beth
- Published
- 2023
9. Evaluating street safety for women in Halifax.
- Author
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Juckes, Natasha and Mikiko Terashima
- Subjects
- *
CRIMES against women , *SOCIAL factors , *STREETSCAPES (Urban design) , *FEMINISM , *POSITIVITY effect (Psychology) - Abstract
Factors that influence women's perceptions of safety, and how these factors are spatially distributed in Canadian cities, are understudied. This case study determined key factors that affect perception of safety in Halifax, Nova Scotia. A survey asked participants to choose from a list of factors identified in empirical literature those that most positively or negatively affected their perceptions of safety. Media portrayal and stories from friends was a significant negative factor on perceptions of safety; presence of people on the street was the most important positive factor. A weighted multi-criteria analysis (MCA) created a proxy for levels of perceived safety across streetscapes, showing which streets are most likely to be perceived as safe or unsafe by women. Findings suggest that women feel safer when the number of people on the street is increased, which can be achieved through mixed-use areas. [ABSTRACT FROM AUTHOR]
- Published
- 2023
10. Now and then
- Author
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Sullivan, Amy
- Published
- 2023
11. A STREETCAR TO BE DESIRED..? EXPLORING THE IMPACTS OF TRAM NETWORK MODERNISATION ON COMMUNITY PERCEPTIONS OF PLACE QUALITY.
- Author
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Diemer, Matthew J. and Hopkins, Ian
- Subjects
STREETSCAPES (Urban design) ,NEIGHBORHOODS ,INFRASTRUCTURE (Economics) ,SUSTAINABLE transportation ,COMMUNITY attitudes - Abstract
Melbourne's tram network is undergoing a strategic modernisation program, including upgrades to over 1,000 stops across the network that often require major changes in the design of legacy streetscapes. This once-in-a-generation state government investment represents a significant opportunity to reimagine how tram streetscapes can function as key destinations that provide an enhanced user experience, build upon existing neighbourhood identity, and improve overall place quality. From 2016 to 2020 a research program sponsored by Keolis Downer as part of Monash University's Sustainable and Effective Public Transport graduate research industry partnership was developed to explore community perceptions of place quality in Melbourne streets and better understand how that perception may be impacted by various tram infrastructure design schemes. The research was conducted in two stages: 1. The 'Movement and Place' framework was adapted to classify tram network segments by roadway infrastructure design and streetscape place context. Deployment of the classification system resulted in the identification of four categories of streetscapes representative of Melbourne's broader tram network. 2. The four streetscape categories were then applied in site selection for a survey that asked community members to rank the importance and performance of 36 place quality indicators at 24 sites across Melbourne's tram network. Analysis of survey results found that users view modernised tram streetscapes as containing a higher quality design for all modes of transport (not just trams) when compared to their legacy counterparts. Priorities for improvement were identified, such as a desire to improve the provision of shelter from harsh weather across all four streetscape categories. Overall, this research helps identify how tram infrastructure can be designed to improve community perceptions of place quality. [ABSTRACT FROM AUTHOR]
- Published
- 2023
12. Exploring the Correlation between Streetscape and Economic Vitality Using Machine Learning: A Case Study in the Old Urban District of Xuzhou, China.
- Author
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Li, Keran and Lin, Yan
- Subjects
- *
MACHINE learning , *URBAN studies , *STREETSCAPES (Urban design) , *STOREFRONTS , *URBAN planners , *PUBLIC spaces - Abstract
The streetscapes of old urban districts record the changes in urban space and the vitality of socio-economic entities like storefronts. However, prior studies of urban vitality have preferred the demand end of crowd agglomeration to the supply end of commercial businesses, while the refined application of street-view images (SVIs) and the spatial heterogeneity resulting from sectional differences among elements deserve further research. Under this context, this paper took both the alive and the closed storefronts as the objects and developed an analytical framework based on machine learning and SVIs to analyze the characteristics of the streetscape and the economic vitality, followed by a regression analysis between them with a multiscale geographically weighted regression (MGWR) model. Our findings comprise three aspects: (1) despite the sum of the storefronts being more often used, combining the alive and the closed businesses is beneficial to reflect the real economic vitality; (2) as a reflection of the spatial heterogeneity and sectional differences of elements, the asymmetric streetscape has a significant influence on the economic vitality; and (3) although different factors from the streetscape can influence economic vitality differently, based on varied proxies of the vitality, three factors, namely, higher difference value of the signboards, higher sum of glass interfaces, and lower difference value of the glass interfaces, can benefit the economic vitality. This research can support urban physical examination and the regeneration of old urban districts for urban planners, designers, and decision-makers, and provide new perspectives and proxies as well as a more fine-grained analysis among the traditional studies on economic vitality. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
13. Analysing Vali-Asr Street Changing Trend in Meaning from the Users' Perspective, from 1925 until Now.
- Author
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Jalilisadrabad, Samaneh, Tabaeian, Anahita, and Parhizgar, Shaghayegh
- Subjects
STREETSCAPES (Urban design) ,URBANIZATION ,PUBLIC spaces ,STREET life ,SOCIAL factors - Abstract
The significance of urban streets lies in their role as the fundamental structure and framework of a city. Streets acquire extraordinary power as they endure the passage of time, accumulating special meanings and memories. This inherent strength is so influential that proper organization and utilization of existing streets can render the construction of new ones unnecessary. Valiasr, spanning 18 kilometers, stands as the longest street in Tehran and the Middle East. Beginning at the railway square in the south of Tehran at an altitude of 1100 meters above sea level, it extends to Tajrish square in the north, reaching an altitude of 1600 meters above sea level. The street boasts wide sidewalks, a sizable pond, and a line of ancient plane trees, enhancing its aesthetic appeal. Originating during the Qajar era (1785-1925), various segments of Valiasr were constructed to link the capital with city gates. In the early Pahlavi period (1925-1979), it was further developed to connect summer palaces to the city. The street's design, implemented without strict adherence to existing buildings, aimed to establish a direct connection between the north and south of Tehran. During this era, significant government and public structures, royal residences, and palaces were constructed along both sides of Valiasr in adherence to established construction regulations from 1928. This period also witnessed the construction of cultural buildings, public parks, gardens, universities, and medical centers. Following the Islamic Revolution of Iran (1979), Valiasr Street evolved into one of Tehran's traditional shopping centers and promenades, reflecting the city's dynamic cultural shifts. Each historical period of Iran has profoundly impacted Valiasr Street, shaping it into a symbol of Tehran's historical and cultural evolution. To delve into the changing trends and meanings associated with Valiasr Street from 1925 to the present, a comprehensive approach was adopted. A total of 100 street users, encompassing residents, pedestrians, traders, and various stakeholders, were interviewed on-site within the study area. Subsequent to these interviews, a meticulous analysis of the gathered data was conducted, facilitating the synthesis and preparation of a comprehensive diagram. The findings reveal that a multitude of factors, including functional, economic, social, political, and cultural elements, have contributed to the evolving mental imagery associated with Valiasr Street across distinct epochs. In its early existence until 1925, the perceptual influence of the observer led to Valiasr Street being conceived as a narrow garden alley nestled among the Qajar city gardens. Transitioning into the period between 1925 and 1979, the passage of time transformed its role into a communication route connecting newly constructed palaces. Moreover, the increasing influence of temporal dynamics, coupled with cultural and social components, elevated Valiasr Street into the consciousness of the populace, turning it into a cherished urban space among the residents of Tehran. The period from 1979 until the present marks a notable phase in the urban life of Valiasr Street. Following a period of stagnation, the street has undergone a revitalization, and the impact of all four meaning-forming components, with a particular emphasis on the temporal aspect, has led to its designation as a cultural heritage site of the city of Tehran in 2011. This recognition culminated in its inclusion in the list of national heritage sites. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
14. A new approach to irrigation control at unpowered sites
- Author
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White, Eve
- Published
- 2023
15. Beachcomber Mk II by Nino Sydney
- Author
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Batey, Stephen
- Published
- 2023
16. Technology: Urban
- Published
- 2023
17. The Evolution of the Architectural Façade since 1950: A Contemporary Categorization.
- Author
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Cucuzzella, Carmela, Rahimi, Negarsadat, and Soulikias, Aristofanis
- Subjects
CONSTRUCTION materials ,STREETSCAPES (Urban design) ,TECHNOLOGICAL innovations ,CULTURAL identity ,BUILT environment - Abstract
The architectural façade has been a site of intensive experimentation and innovation throughout the 20th century, something that continues to this day, resulting in a vast range of architectural imagery, often incohesive in the post-modern reality. This research explores contemporary façade types and classifies the character of exterior building surfaces. In this paper, we aim to explore how the façade has been designed and has affected its surroundings. How and why has the façade evolved in the ways that it has? Is it the material innovation, structural novelty, the new design techniques or new aesthetics? We adopt a method of analytical induction to extract the most prevalent façade themes from relevant contemporary literature, characterize their meanings and categorize them in order to better explain the many sides of the façade. We set out to define the principles of façade design to then develop a general categorization, which can be applied to most building façades in recent history. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
18. Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning.
- Author
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Chen, Jingjia, Chen, Long, Li, Yan, Zhang, Wenjia, and Long, Ying
- Subjects
- *
PUBLIC spaces , *STREETSCAPES (Urban design) , *PUBLIC health , *SOCIAL stability , *DEPRECIATION , *CRIME , *DEEP learning - Abstract
Physical disorder is associated with negative outcomes in economic performance, public health, and social stability, such as the depreciation of property, mental stress, fear, and crime. A limited but growing body of literature considers physical disorder in urban space, especially the topic of identifying physical disorder at a fine scale. There is currently no effective and replicable way of measuring physical disorder at a fine scale for a large area with low cost, however. To fill the gap, this article proposes an approach that takes advantage of the massive volume of street view images as input data for virtual audits and uses a deep learning model to quantitatively measure the physical disorder of urban street spaces. The results of implementing this approach with more than 700,000 streets in Chinese cities—which, to our knowledge, is the first attempt globally to quantify the physical disorder in such large urban areas—validate the effectiveness and efficiency of the approach. Through this large-scale empirical analysis in China, this article makes several theoretical contributions. First, we expand the factors of physical disorder, which were previously neglected in U.S. studies. Second, we find that urban physical disorder presents three typical spatial distributions—scattered, diffused, and linear concentrated patterns—which provide references for revealing the development trends of physical disorder and making spatial interventions. Finally, our regression analysis between physical disorder and street characteristics identified the factors that could affect physical disorder and thus enriched the theoretical underpinnings. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
19. On-Premise Signage and Placemaking: Aiding Lively Streetscapes to Maintain Signage Visibility.
- Author
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Dalton, Robert, Abbasi, Sahand, and Han, Seojoo
- Subjects
SIGNAGE ,STREETSCAPES (Urban design) ,PUBLIC spaces ,VISUAL communication ,ECONOMIC development - Abstract
Placemaking is an initiative with roots in the 1960s and 70s to enhance public life in the urban setting. This complex notion requires multiple disciplines, flexibility, and a human-centric approach toward development. While developing new streets and enhancing the existing, built environment, professionals, community residents, and business owners must consider multiple elements to bring people to the street: furniture, vegetation, walkability, art, and culture. With this sidewalk interaction comes the opportunity for economic development. When the people are drawn in, signage can inform the pedestrian. This study builds a collection of 200 photos, representing four levels of placemaking intensities. Each photo is coded into 600 cells to count the quantity of placemaking elements. Visual attentive software (VAS) is then used to measure the sign effectiveness to visually stand out. Placemaking initially impacts preattentive visibility, while the building façade, road surface, tree canopy, landscaping, and the sky each play a role. Planners, designers, and business owners can use these findings to better inform the impact and interaction of streetscape and business. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
20. THE ROLE OF PHYSICAL AND VISUAL ELEMENTS IN CREATING STREETSCAPES: CASES IN KUALA LUMPUR CITY, MALAYSIA.
- Author
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Askari, Amir Hossein and Soltani, Soha
- Subjects
- *
STREETSCAPES (Urban design) , *QUESTIONNAIRES - Abstract
Evaluating the role of physical elements in creating visually pleasing streetscapes has not been deeply addressed in recent research flow, especially for the context of Kuala Lumpur City. The gap is also accentuated by Kuala Lumpur City Hall as disharmony and inconsistency in streetscapes and lacking visual coherence in most streets in Kuala Lumpur. Therefore, the current paper seeks to evaluate the role of physical and visual elements in creating visually pleasing streetscapes of Bukit Bintang and Tuanku Abdul Rahman using a self-administered questionnaire survey. The respondents of the study comprise 330 passers-by aging from 18 to 50 years old, who visit the streets, reside, or work there. The results demonstrate that transparency, the quality that makes the function of a building visually accessible, and seating places play the most and the least important role in creating streetscapes in the study areas respectively. Comparison of the results in two streets highlights that harmony between and consistency in the facades of modern and traditional buildings, simplicity in design elements of facades, inviting building entrances, and covered walkways contribute to creating attractive streetscapes. Overall, the findings build foundations for restoring the visual coherence, which results in resilient streetscapes in cities. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
21. THE EFFECT OF CULTURE-SPECIFIC DIFFERENCES IN URBAN STREETSCAPES ON THE INFERENCE ACCURACY OF DEEP LEARNING MODELS.
- Author
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Inoue, T., Manabe, R., Murayama, A., and Koizumi, H.
- Subjects
DEEP learning ,STREETSCAPES (Urban design) ,IMAGE recognition (Computer vision) ,PUBLIC spaces ,URBAN planning ,SPACE perception - Abstract
Owing to the increasing focus on places in urban planning and design, methods to evaluate the quality and value of urban places is crucially needed. Many studies use deep learning models to identify the proportion and composition of landscape elements in images for evaluation. The accuracy of semantic segmentation achieved with such models is often validated using Cityscapes, a street-level image dataset taken from German cities. However, few studies have quantitatively revealed the inference accuracy decrease caused by culture-specific characteristics of streetscapes.In this study, we calculated by-class intersection over union (IoU) and newly-defined indices of false inferences to demonstrate how and to what extent deep learning models can infer each landscape element falsely when applied to Japanese street-level images. Our analysis revealed that certain landscape elements are more difficult to infer correctly based on specific causes, such as their appearances in images and unique characteristics of the fixed physical configuration of Japanese streets. By applying the false inference categorization framework presented in this study, researchers can adjust their approaches considering two aspects: a decrease in inference accuracies of deep learning models and the impact of culture-specific characteristics of streetscapes on people's perception and valuation of urban places. Based on the results and analyses, a future research direction is to develop and implement more accurate image recognition models considering culture-specific characteristics to understand people's perceptions of urban spaces and assess the value of urban places by using the big data including street-level images. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
22. Clarity or confusion: A review of computer vision street attributes in urban studies and planning.
- Author
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Liu, Liu and Sevtsuk, Andres
- Subjects
- *
URBAN studies , *URBAN planning , *STREETSCAPES (Urban design) , *URBAN research , *COMPUTER vision , *GEOSPATIAL data , *STREETS - Abstract
The acceleration of urban imagery data analysis, driven by computer vision (CV), has created noteworthy opportunities for urban studies and planning. Data on street environments with high granularity derived from geo-tagged street views allow urban researchers to obtain geospatial data on greenery, pavement materials, and dimensions, building facades, urban furniture, lighting, vehicle presence, etc. However, how such attributes have been classified and used to address urban studies, planning, or mobility questions remains relatively poorly understood among non-technical researchers. Targeting urban planning and design researchers who do not have a background in CV, this paper reviews planning-relevant attributes that CV approaches of urban streetscapes have delivered to date and examines some of their research applications. We present a systematic analysis of 146 papers scrutinizing 104 street attributes in four groups. By exploring a subcollection of 24 papers, we discuss the effectiveness of those attributes being incorporated into current quantitative urban studies. This study's primary contribution lies in providing a comprehensive summary of CV-driven street attributes, their applications, and the algorithms used, serving as a valuable resource for future urban research. Additionally, we identify key challenges in this field, such as unclear definitions of attributes, a disproportionate emphasis on selecting models and features, and the absence of standardized measurement and definition methods. Furthermore, we offer recommendations for future research directions in this area. • We review 104 street attributes collected with computer vision in urban studies • We summarize 23 chosen attributes' correlations with known urban design measures • We provide a table of CV-driven street attributes with model details, references, and impacts • We highlight challenges in attribute definitions, research focus, and impact clarity • We provide recommendations for standardizing data and future research [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
23. Evaluating the subjective perceptions of streetscapes using street-view images.
- Author
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Ogawa, Yoshiki, Oki, Takuya, Zhao, Chenbo, Sekimoto, Yoshihide, and Shimizu, Chihiro
- Subjects
STREETSCAPES (Urban design) ,LANDSCAPE design ,SUBJECTIVE well-being (Psychology) ,SPACE perception ,INTERNET surveys ,COMMUNITY development ,CLASSIFICATION - Abstract
• Measured 22 subjective perception scores from street-view images. • Model considers the relationships among all subjective perception evaluation items. • Modeled subjective perceptions with high accuracy and low computation cost. • The 22 subjective perceptions were classified into four classes (attractive, old-fashioned, calm, and lively) • Identified landscape elements that affect each subjective perception class. Developing a model to evaluate urban streetscapes based on subjective perceptions is important for quantitative understanding. However, previous studies have only considered limited types of subjective perceptions, neglecting the relationships between them. Further, accurately measuring subjective perception with low computational costs for large-scale urban regions at high spatial resolutions has been difficult. We present a deep-learning-based multilabel classification model that can measure 22 subjective perceptions scores from street-view images. This model uses the results of a web questionnaire survey encompassing 22 subjective perceptions, with 8.8 million responses. Our model demonstrates high accuracy (0.80–0.91) in measuring subjective perception scores from street-view images and achieves low computational cost by training on 22 subjective perception relationships. The 22 subjective perceptions were analyzed using PCA and k-means analysis. By categorizing the 22 subjective perceptions into a two-dimensional space visualized and grouped into distinct groups—positive, negative, calm, and lively—we unearthed vital insights into the intricate nuances of human perception. In addition, the study used semantic segmentation to extract landscape elements from street-view images and applied ℓ1-regularized sparse modeling to identify the landscape elements structurally correlating with each subjective perception class. The analysis revealed that only seven out of nineteen landscape elements significantly correlated with subjective impressions, and these effects varied by class. Notably, sky coverage positively influences positive subjective perceptions, such as attractiveness and calmness, but negatively affects lively impressions. The proposed model can be used to map the overall image of a city and identify landscape design issues in community development design. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
24. NEW DIRECTIONS IN URBAN DESIGN: Intentional guidelines can support a pluralistic, flexible and inclusive approach to building.
- Author
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el Samahy, Rami
- Subjects
STREETSCAPES (Urban design) ,WATER shortages ,METROPOLITAN areas ,RATE of return ,ETHNIC groups - Published
- 2023
25. Street-scape upgrade a post-pandemic success
- Published
- 2023
26. The Hundertwasser design contracting challenge
- Published
- 2023
27. In harmony with its natural environment
- Author
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Kinney, Kathleen
- Published
- 2023
28. Human perception evaluation system for urban streetscapes based on computer vision algorithms with attention mechanisms.
- Author
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Li, Yunhao, Zhang, Chunxiao, Wang, Chang, and Cheng, Zhe
- Subjects
- *
STREETSCAPES (Urban design) , *COMPUTER vision , *COMPUTER algorithms , *URBANIZATION , *THREE-dimensional modeling , *ARTIFICIAL neural networks , *URBAN planning - Abstract
Virtual 3D modeling is widely implemented in urban planning and design. To evaluate urban planning modeling, based on existing computer vision models, this article aims to improve performance in the field of human perception analysis for urban street views. In this study, the PSP module extracts detailed features from recognized objects of different sizes, an attention mechanism is applied to solve the problem of large information differences in pictures, and transfer learning technology is used to expand the model to the field of virtual 3D modeling to extract more representative and universal features, similar to how humans perceive street view information. Finally, we obtain a more objective, stable, and accurate neural network model that imitates human perception. This evaluation model converges within the correct interval on the training and validation datasets compared with an evaluation of virtual modeling by a large number of people. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
29. The impact of visual complexity on perceived safety and comfort of the users: A study on urban streetscape of Sri Lanka.
- Author
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Kawshalya, L. W. G., Weerasinghe, U. G. D., and Chandrasekara, D. P.
- Subjects
- *
STREETSCAPES (Urban design) , *URBAN studies , *URBAN growth , *FRACTAL dimensions , *URBAN health , *FOOD preferences ,TROPICAL climate - Abstract
Increase in the variety of development in urban context has made it more complicated and complex for the users of public spaces. Absence of sufficient information to read the surrounding causes psychological anxiousness leading to perceived danger or discomfort for the urbanites. Consequently, perceived safety and comfort of the users is distinctively low in urban contexts, creating neglected and underused spaces. Complexity is one of the information processing variables as per Kaplan and Kaplan's informational model which helps users to comprehend the surrounding environment. The streetscape plays a vital role in the daily movement patterns within the urban cities and is the transition boundary between the public and private realms. Visual complexity of these streets is a result of different configurations of elements within the urban areas. This research is conducted to ascertain the relationship between visual complexity levels of the streets with the perceived safety and comfort of the users. Shannon Diversity Index (SDI) and Fractal dimension analysis were conducted with 48 SVIs (Street View Images) selected within 1km radius of Colpetty junction, Colombo Sri Lanka covering all the possible compositions found within the context. The visual index data extraction had identified ten major components within the selected 48 SVIs. 78 subjective ranking responses for perceived safety, comfort (preference) and perceived complexity were collected from snowball sampling. Findings of the study revealed that perceived safety levels and preference scores for the SVIs are related to the Shannon Diversity Index calculation in an inverted 'U' shape where the highest and lowest SDI values are related with low preference scores and low safety levels. The SVIs with medium SDI values are perceived as the safest and most preferred by the users of urban streets of Colombo Sri Lanka. The SDI and fractal dimension values were significantly correlated with the perceived complexity scores of the users. The results of this study can be accommodated in the planning and designing of urban streetscapes of tropical climates for sustainable and friendly urban expansions. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
30. Liked and Disliked Streetscape Imagery: Relation to Emotional Motivation and Block Distribution From Tourist Bus Visitors.
- Author
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Li, Chang, Li, Pengcheng, and Huang, Xiaohui
- Subjects
- *
STREETSCAPES (Urban design) , *DEVELOPMENTAL psychology & motivation , *PUBLIC spaces , *BUILDING sites , *LAND use - Abstract
Streetscape is an important factor that forms the image of a city. The visual value and preference in streetscape images need to be measured by examining the interaction between places and visitors in the real environment. The study applied a method to recognize and evaluate urban streetscape from the perspective of tour bus passengers, and proved its effectiveness in streetscape visual attraction research. In this study, a visitor-employed photography (VEP) survey was conducted along 32 blocks on the No. 1 urban tour bus (with an average speed of 28 km/h) in Suzhou, China; the visual attributes and significance of urban streetscapes were recognized through empirical research on tour bus visitors' on-site experience. The researcher cultivated the emotional motivations and block distribution captured by 30 respondents through analyzing the types of photos the respondents liked and disliked. The results of this study show that, in general, positive streetscape types tend to be of regional landscape, with cultural and readable emotional motivations. Negative streetscape types tend to be of modern architecture and construction sites, with unreadable and unattractive emotional motivations. The block cluster analysis, based on the average frequency/km of positive and negative streetscape photos, shows that the four block unit clusters were perceived by visitors with deviation between the land use image and the planned land use. The bus VEP method revealed that the visual attractiveness and preferences of streetscape were highly context-specific, rather than for performance. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
31. Elwood Bungalow by Rob Kennon Architects
- Author
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Birks, Georgia
- Published
- 2021
32. Urban Street Cleanliness Assessment Using Mobile Edge Computing and Deep Learning.
- Author
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PULI, SRILATHA, SWETHA, SINGARAPU, PRIYA, E. SAI, ANUHYA, ADDU, and REDDY, J. SHREYAS
- Subjects
- *
STREET cleaning , *COMPUTER vision , *SMART cities , *STREETSCAPES (Urban design) , *WASTE management , *SANITATION - Abstract
Object detection is a central task in computer vision, with applications ranging across the process of smart city construction, city managers always spend a lot of energy and money cleaning street garbage due to the random appearances of street garbage, As deep network solutions become deeper and more complex, they are often limited by the amount of training data available. With this in mind, to spur advances in analyzing and understanding images, Open CV or Google AI has publicly released the Open Images dataset. Open Images follows the tradition of PASCAL VOC, Image Net and COCO, now at an unprecedented scale. In this project we to implement the Consequently, visual street cleanliness assessment is particularly important. However, existing assessment approaches have some clear disadvantages, such as the collection of street garbage information is not automated, and street cleanliness information is not real-time best performing algorithm for automatically detecting objects. Finally, the results are incorporated into the street cleanliness calculation framework to ultimately visualize street cleanliness levels, which provides convenience for city managers to arrange clean-up personnel effectively. [ABSTRACT FROM AUTHOR]
- Published
- 2022
33. Alexandria House by Andrew Burns Architecture
- Author
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Peake, Ben
- Published
- 2021
34. Visibilities and Invisibilities in Smart Cities : Emerging Research and Opportunities
- Author
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H. Patricia McKenna and H. Patricia McKenna
- Subjects
- City and town life--Research, Smart cities, Streetscapes (Urban design)
- Abstract
Throughout history, humanity has sought the betterment of its communities. In the 21st century, humanity has technology on its side in the process of improving its cities. Smart cities make their improvements by gathering real-world data in real time. Still, there are many complexities that many do not catch—they are invisible. It is important to understand how people make sense at the urban level and in extra-urban spaces of the combined complexities of invisibilities and visibilities in their environments, interactions, and infrastructures enabled through their own enhanced awareness together with aware technologies that are often embedded, pervasive, and ambient. This book probes the visible and invisible dimensions of emerging understandings of smart cities and regions in the context of more aware people interacting with each other and through more aware and pervasive technologies. Visibilities and Invisibilities in Smart Cities: Emerging Research and Opportunities contributes to the research literature for urban theoretical spaces, methodologies, and applications for smart and responsive cities; the evolving of urban theory and methods for 21st century cities and urbanities; and the formulation of a conceptual framework for associated methodologies and theoretical spaces. This work explores the relationships between variables using a case study approach combined with an explanatory correlational design. It is based on an urban research study conducted from mid-2015 to mid-2020 that spanned multiple countries across three continents. The book is split into four sections: introduction to the concepts of visible and invisible, frameworks for understanding the interplay of the two concepts, associated and evolving theory and methods, and extending current research as opportunities in smart city environments and regions. Covering topics including human geography, smart cities, and urban planning, this book is essential for urban planners, designers, city officials, community agencies, business managers and owners, academicians, researchers, and students, including those who work across multiple domains such as architecture, environmental design, human-computer interaction, human geography, information technology, sociology, and affective computing.
- Published
- 2021
35. Visual aesthetic quality assessment of the streetscape from the perspective of landscape-perception coupling.
- Author
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Fang, Ya-Nan, Tian, Jian, Namaiti, Aihemaiti, Zhang, Shaoqiang, Zeng, Jian, and Zhu, Xuemei
- Subjects
LANDSCAPE assessment ,MACHINE learning ,SUSTAINABLE urban development ,STREETSCAPES (Urban design) ,PUBLIC opinion ,DEEP learning - Abstract
Although significant progress has been made in both the description of landscape biophysical characteristics (LBC) and the assessment of public aesthetic perceptions (PAP) stimulated by these characteristics, there is still a lack of theoretical research and practical exploration in coupling the dual assessment factors of LBC and PAP. This study aims to propose an assessment method based on the coupled interaction of LBC and PAP. The Wudadao historic district was selected as the empirical study area. First, the assessment indicators describing the biophysical characteristics of the landscape were identified, and the indicators were quantified. Multi-source data, GIS technology, and deep learning algorithms were comprehensively utilized to optimize the indicator algorithm while enriching the indicator types. Then, a network research survey and the scenic beauty estimation (SBE) method were combined to quantify the public perception assessment results. Finally, a back-propagation neural network (BP NN) streetscape aesthetic quality assessment model based on the coupling of BCL and PAP was established. In addition, based on the quantitative data of LBC and PAP, the landscape characterization factors with a significant influence on the public aesthetic assessment were further clarified through factor analysis and eye-tracking experiments. They were, in order, the planning factor, the historical factor, the natural factor and the spatial factor. The results show that the proposed assessment method and technical path can effectively improve the scientific, operational, and precise assessment of streetscape visual aesthetic quality. The assessment results can be used as an important basis for landscape decision-making in the field of urban planning, prompting landscape changes to be oriented towards the construction of a harmonious relationship between humans and the Earth and the realization of the goal of sustainable urban development. [Display omitted] • We present a method for assessing the visual quality of urban streetscapes. • Landscape characteristics and public perceptions were quantified and coupled. • A visual quality assessment model based on a BP Neural Network was developed. • Machine learning can improve the scientificity and operability of streetscape assessment. • Aesthetic perception-influencing factors include planning, history, nature, and spatial. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
36. From intangible to tangible: The role of big data and machine learning in walkability studies.
- Author
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Yang, Jun, Fricker, Pia, and Jung, Alexander
- Subjects
- *
BIG data , *WALKABILITY , *MACHINE learning , *STREETSCAPES (Urban design) , *COMPUTER vision , *BUILT environment , *RESEARCH personnel , *SOCIAL media - Abstract
Walkability reflects the well-being of a city, and its measurement is evolving rapidly due to advancements of big data and machine learning technologies. The study examines the transformative impact of these technological interventions on the evaluation of walkability trends over the period 2015 to 2022. We create a framework consisting of big data sources, machine learning methods, and research purposes, revealing research trajectories and associated challenges. Despite diverse data usage, image data dominates in walkability research. While street view and point of interest data were primarily used to depict the environment, social media and handheld/ wearable data were more commonly employed to represent user behaviours or perceptions. Leveraging machine learning in conjunction with big data assists researchers in three aspects of walkability studies. First, researchers utilise classification and clustering to predict street quality, walkability, and identify neighbourhoods with certain characteristics. Second, researchers unveil relationship between the built environment and pedestrian perceptions or behaviours through regression analysis. Third, researchers employ generative models to create streetscapes or urban structures, although their utilisation is limited. Meanwhile, challenges persist in data access, customisation of machine learning models for urban studies, and establishing standard criteria to guarantee data quality and model accuracy. • Big data can be used to quantify environmental variables to enhance efficiency of urban assessments. • Big data reveals walking behaviour, pedestrian perception, or spatial-temporal distribution of pedestrians on a large scale. • The utility of image data dominates walkability studies due to the advanced development of computer vision techniques. • Gathering or processing non-image big data remains challenging because of data opacity or limited machine learning methods. • The lack of standards in selecting models and data variables is a barrier to model accuracy and research reproducibility. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
37. Turning Urban Streets from Infrastructures into Living Places Early Research Outcomes of a Case Study in Prato, Tuscany.
- Author
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Paolinelli, Gabriele and Fortuna, Lorenza
- Subjects
- *
PUBLIC spaces , *STREETS , *STREETSCAPES (Urban design) , *TRAFFIC signs & signals , *URBAN hospitals , *FACTORY design & construction , *SOCIAL exchange - Abstract
In the second half of the twentieth century urban landscapes were affected by heavy infrastructural development. With regard to streets, managing the growing fluidity and speed of motor vehicle flows has been a priority for most designers. Nowadays there are multiple driving forces behind a transition that could accommodate different uses within the streets, primarily the cultural, social and economic exchanges that streets faciliated in the past but that have been lost over time. In the spreading practice called "shared street" most signage and traffic lights can be removed to permit the self-regulated and spontaneous circulation of all users and vehicles. This paradigm is discussed with regard to its potential to strengthen urban landscape identity, ensuring accessibility, redefining uses and practices within the street, reducing injuries and misbehaviour, and offering real and perceived safety to all users. "Back to the street" is an ongoing design research project dealing with integration strategies for different kinds of urban streetscapes. Which design features are necessary to encourage a change in attitude, speed and hierarchy for street users? How can these features positively affect urban landscapes in general and the liveability of streets first and foremost? The research attempts to answer these questions by considering street design as a means of triggering the effective enhancement of urban public spaces. The paper is based on the case study of Via San Paolo in Prato (Tuscany) and presents a set of quality requirements for street design such as plant integration, water drainage, and comfortable paths for both cyclists and pedestrians. As the design for separate flows cannot fulfill all the quality features in Via San Paolo, mostly due to its varying width, it is assumed that the "shared street" can replace it in order to enhance community life within the streets while promoting local sustainable mobility. The research examines two options: sharing the street in narrow stretches or along its whole length. A preliminary comparison is proposed to discuss the earlier research outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
38. Bodies in the Streets: The Somaesthetics of City Life
- Author
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Richard Shusterman and Richard Shusterman
- Subjects
- City and town life, Streetscapes (Urban design), Aesthetics
- Abstract
Cities are defined by their complex network of busy streets and the multitudes of people that animate them through physical presence and bodily actions that often differ dramatically: elegant window-shoppers and homeless beggars, protesting crowds and patrolling police. As bodies shape city life, so the city's spaces, structures, economies, politics, rhythms, and atmospheres reciprocally shape the urban soma. This collection of original essays explores the somaesthetic qualities and challenges of city life (in Europe, Asia, Africa, and the Americas) from a variety of perspectives ranging from philosophy, urban theory, political theory, and gender studies to visual art, criminology, and the interdisciplinary field of somaesthetics. Together these essays illustrate the aesthetic, cultural, and political roles and trials of bodies in the city streets.
- Published
- 2019
39. A simplified evaluation method of rooftop solar energy potential based on image semantic segmentation of urban streetscapes.
- Author
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Lan, Haifeng, Gou, Zhonghua, and Xie, Xiaohuan
- Subjects
- *
STREETSCAPES (Urban design) , *IMAGE segmentation , *POTENTIAL energy , *EVALUATION methodology , *SOLAR energy , *ENERGY consumption - Abstract
• A simplified model based on two indicators: sky view factor and sun coverage factor. • A model between the two indicators with simulated solar energy yield was established. • A validation study showed that the average relative error of the model was 6.6%. • The model reduced the computation time while preserving accuracy. The evaluation of rooftop solar energy potential in cities has a fundamental role in the development and utilization of solar energy. The irradiance-based approach of evaluation is a repetitive calculation process combined with the complex geometry of urban forms. This research paper proposes a framework that utilizes urban streetscapes to quickly estimate the urban solar energy potential using a simplified solar energy yield model based on two indicators: sky view factor (SVF) and sun coverage factor (SCF). First, 327 Google Street View images were converted into fisheye images, which were semantically segmented based on the deep-learning Full Convolutional Network (FCN). Then, the SVF and SCF were calculated based on the method of pixel statistics. Finally, a model with the simulated solar energy yield was established. Furthermore, a validation study was conducted using rooftop solar production data, which showed that the maximum estimation error of the proposed model was less than 8% and the average relative error was 6.6%. Generally, the proposed model reduced the required computation time while preserving a satisfactory degree of accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
40. 基于场所体验的空间营造--深圳市国际山公园街区公共开放空间设计.
- Author
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江湘蓉, 秦晓晴, and 卡特里娜·奥尔蒂兹
- Subjects
LANDSCAPE design ,STREETSCAPES (Urban design) ,PARKS ,ATTENTION restoration theory ,NEIGHBORHOODS - Abstract
Copyright of Landscape Architecture Frontiers is the property of Higher Education Press Limited Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
41. The List: The Special Collections at the University of Leeds Libraries has secured a 16th-century manuscript about cheese-making.
- Subjects
MANUSCRIPTS ,MUSEUM acquisitions ,TAPESTRY ,STREETSCAPES (Urban design) - Published
- 2024
42. Spaces for plants in void metabolism.
- Author
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Yoshiharu Tsukamoto, Masamichi Tamura, and Fumiya Nonaka
- Subjects
PLANT metabolism ,PLANT spacing ,BOTANY ,URBAN plants ,GREEN roofs ,STREETSCAPES (Urban design) ,CHERRIES - Published
- 2021
43. Woody meadows as a new type of urban greening for sustainable and healthy cities.
- Author
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Kenefick, Claire and Farrell, Claire
- Subjects
- *
PUBLIC spaces , *PLANTING , *MENTAL health , *STORMWATER infiltration , *STREETSCAPES (Urban design) - Abstract
The article focuses on urban green spaces, including parks, street trees and plantings that are beneficial for physical and mental health, reduce runoff of polluted storm water into rivers and streams, increase urban biodiversity, and cool and shade buildings and streetscapes. Topics include considered that urban greening is expensive due to high costs associated with maintenance and inputs such as water, fertilizer and replanting.
- Published
- 2021
44. Evolving urbanscapes with' complete streets’
- Author
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Martyn, Cameron
- Published
- 2022
45. Dunedin pupils in isolation
- Author
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Miller, Grant
- Published
- 2022
46. Streetscape
- Author
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Donnell, Hayden and Hedley, Lottie
- Published
- 2022
47. Now and then : the changing face of Ōtaki
- Published
- 2022
48. George St turnaround, ho-hum endorsement taxing on the brain
- Author
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McLean, Elspeth
- Published
- 2022
49. Auckland streetscapes
- Author
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Kinney, Kathleen
- Published
- 2022
50. Sculpture for the home: Gerard McCarthy at Elizabeth Harris Gallery, New York City (Jan 5 - Feb 9, 2019)
- Author
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Koplos, Janet
- Published
- 2019
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