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Abstract The purpose of this research is to provide a model of factors affecting smart governance in the country. The research method is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of its implementation, and descriptive-survey type in terms of data collection. The statistical population in the qualitative section includes 28 university experts familiar with the subject, who were selected in a non-probability and judgmental manner. The statistical population in the quantitative part includes all the managers and experts working in South Khorasan governorate and Birjand city governorate of planning administration equal to 420 people, and the sample number was selected using Cochran's formula of 200 people. The sampling method in this section was done in a random stratified manner. A semi-structured interview and a researcher-made questionnaire taken from the qualitative section were used to collect information. In the qualitative part, the fuzzy Delphi method was used, and the data from the interviews were coded and analyzed in the three main stages of open coding; axial coding; and selective coding, and SmartPLS 3 software was used in the quantitative part of factor analysis, and SPSS 22 software was used for analysis. The results of the research in the qualitative part showed that three categories of background factors (equipment and infrastructure, required resources, information and communication technology, statistics and intelligent information, and formation platform), content (cyber security, strategy formulation, intelligent management and intelligent planning) and Structural (smart readiness, smart architecture, and smart administration) are effective on the formation of smart governance in the country. The results of the quantitative section showed that the model is of good quality. Extended Abstract Introduction The evolution of human knowledge shows that along with the change in the nature and form of the problems facing mankind, the knowledge packages suitable for the management of such problems have also undergone evolution. One of the important human knowledge that plays an important role in the survival and health of societies is the knowledge of governance and management of public affairs. Therefore, political systems should choose their appropriate style of governance according to the social, political, economic and cultural environment governing the society (Hoseini et al, 2022). One of the most important opportunities that information technology presents to statesmen and managers is increasing accessibility, strengthening efficiency and re-engineering the architecture of the government and the possibility of making it more responsive. The use of information technology in the governance process has led to the emergence of a reality called "smart governance" which is a prerequisite for governing information societies (Mohammadi et al, 2021). Smart governance is about relationships between private, public, economic and social stakeholders and focuses on citizen participation (Lopes & Oliveira, 2017). This style of governance is based on a transparent management system that allows citizens to participate in the planning and decision-making process in terms of the development of their communities, and ensure free access to information (Penaska & Velas, 2019). Smart governance uses information and communication technology to improve democratic processes and public services (e-government), support and facilitate planning and decision-making (Camero & Alba, 2019). Based on this, the researcher of the present study intends to answer the main question: what model of effective factors is suitable for smart governance in the country? Theoretical framework Smart governance Smart governance refers to the intelligent use of information and communication technology to improve decision-making through better collaboration between different stakeholders, including government and citizens. In this case, tools based on information and communication technology, such as social media and the openness of the political space, can be factors that increase citizen interaction and support the development of new governance models for the smart government. Smart governance may also play an important role in smart city initiatives that require complex interactions between governments, citizens, and other stakeholders (Nasri & Tabarzad, 2020). Smart governance is a style of management that is formed based on the intelligent participation of citizens through information and communication technology. This new form of governance transforms citizens from passive consumers of city services to active actors who can comment on the type of services they need (Mohammadi Dehchshme & Moradi, 2021). In other words, this type of governance is based on a transparent management system. This should allow citizens to participate in the planning and decision-making process in terms of city development and ensure free access to information (Penaska & Velas, 2019). Research background Chegni & Koshtar Haranki (2022), examined "smart (knowledge-based) governance relying on the development model (functions of thinker boards)", to explain the concept of thinker board as a strategic and influential institution on the country's decision-making and policy making process and drawing and presenting a local and ecologically compatible model of governance in Iran from this strategic institution. The findings of this research showed that the Islamic Republic's thinker boards at the macro level can help to make the country's governance system smarter and knowledge-based, and in addition to the common functions; it can have functions such as the governing body, guiding and directing the country's macro policies, protection and supervision, explaining the basics, concepts and theoretical frameworks, discourse maker, observation and production of thought, strength of the internal structure of power, socialization and grounding of modern Islamic civilization, use of popular participation and mobilization in the matter of political research and decision making and consultation and problem solving. Hamghadam et al, (2022) investigated "presenting future scenarios of smart urban governance (case study: Rasht city)". The results of the analysis showed that the appropriate foundation scenarios in the field of citizenship education and raising awareness, popular participation and citizenship and private sector participation, making arrangements to increase the budget in the field of smartness, and municipal support of the smart government have the most adaptive value in the future of smart urban governance of the city of Rasht. Research methodology The current research is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of its implementation, and descriptive-survey type in terms of data collection. The statistical population in the quantitative part includes all the managers and experts working in South Khorasan Governorate and Birjand City Governorate of planning administration, which was identified as 420 people based on internal statistics. Also, the sampling method in this section was done in a random stratified manner. The number of samples was obtained using Cochran's formula considering that the number of people in the studied society was 200. The statistical population in the qualitative section includes 28 university experts familiar with the subject, who were selected in a non-probability and judgmental manner. In this research, the research strategy is of a mixed type (qualitative-quantitative) that after defining the topic and conducting preliminary exploratory and library studies and semi-structured interviews, the relevant factors and components are determined through the Delphi method, which is considered a qualitative research method, by a researcher-made questionnaire (including the answers of the five-choice Likert range and an open question to add possible new components) according to academic and professional experts familiar with the subject, And after receiving their qualitative and quantitative corrective opinions (prioritization of factors) based on the statistical methods of analysis, and finally, through three rounds of going back and forth of the fit of the model, components, and combination of factors reached the consensus of the elites. Research data collection tools are a) library studies (foreign and domestic books and publications, databases, internet sites, etc.); b) semi-structured interviews with academic experts and specialists in the field of governance and information technology; c) a questionnaire. In the qualitative part, the data obtained from the interviews were analyzed in the first stage using three stages of open, central and selective coding; and in the quantitative part, the required data were collected through a questionnaire with closed questions, and in order to analyze them, confirmatory factor analysis test was used in SmartPLS 3 software environment. Also, SPSS 22 software environment was used to analyze the data collected in the descriptive statistics section and determine Cronbach's alpha to check the reliability of the data collection tool. Discussion and results: SPSS 22 statistical software was used for descriptive data analysis. And the structural equation test was used using SMART PLS 3 software to answer the research questions. Factor loadings are calculated by calculating the correlation value of the indicators of a structure with that structure. If this value is equal to or greater than 0.4, it confirms that the variance between the structure and its indicators is greater than the variance of the size error of that structure, and the reliability of that measurement model is acceptable. The results of the factor analysis show the desired components, since the factor loading of all the items is more than 0.4, and also the value of t statistic is more than 1.96, so the model has good validity. Conclusion: The construction of the concept of intelligent governance has played an important role in shaping the existing electronic goals in the world's information society, followed by the progress and development of different societies. Therefore, the current research was conducted with the aim of providing a model of factors affecting smart governance in the country so that by knowing smart governance and the factors affecting it, future strategies and plans can be adopted in line with the effective establishment and development of this type of governance in the country. Therefore, according to the studies conducted in this field and also, based on the analytical logic of the open system and taking into account the opinion of experts, the factors affecting smart governance were finally categorized in the form of 3 dimensions and 12 components, which in terms of prioritizing the components of the three factors, were ranked respectively; in the contextual factors section: the formation platform, equipment and infrastructure, statistics and intelligent information, information and communication technology, and required resources; in content factors section: cyber security, smart management, strategy formulation and smart planning; and in the structural factors section: smart architecture, smart administration and smart preparation. Contextual factors such as needs assessment and capacity producing, along with causal factors, provide a suitable platform for the establishment of smart governance in the country. The contextual factor of needs assessment in this research included equipment and infrastructure, required resources, information and communication technology, cyber security, statistics and intelligent information. In other words, equipment and infrastructure such as hardware, software, high-speed and secure internet, user-friendly designed websites and portals, resources such as sufficient financial and human resources, and most importantly securing this virtual space through the creation of functional ID, network security, design and the development of security laws, and finally the creation of mechanized databases in various fields and the formation of electronic statistics and information units in government organizations can help to provide a suitable platform for the establishment of smart governance in the country as effectively as possible.

Smart tourism is receiving growing attention among scholars and practitioners as it advances tourism development and enhances travel experience. Existing research focuses on various technological applications and opinions from users and suppliers. However, discussions from the perspective of academic experts on smart tourism are scarce. In addition, most studies focus on only a single aspect of either people, planning process, or technological components of smart tourism. On the basis of the people–process–technology (PPT) framework and in-depth interviews with tourism academic experts, this study argues that the successful development and implementation of smart tourism involves the integration of and interactions among people, process, and technology. Such insights can contribute to the current literature in understanding smart tourism management and the relevant practices with a collaborative mechanism combining all these components. [ABSTRACT FROM AUTHOR]

This study evaluates the role of model-oriented decision support systems in the understanding of complex variables related to urban mobility challenges. To this end, the MobilityExperience platform has been developed as a planning support system (PSSs) to contribute to better informed decision-making in citizens' commitment to climate neutrality and self-sufficient energy city policies. The results show that the three proposed visualization modes lead to an increase in understanding urban mobility; emphasize the importance of an interactive approach to reinforce the role of an increasing number of agents; and enable a deeper level of collaboration in a data ecosystem framework. [ABSTRACT FROM AUTHOR]

This paper examines a regional economic model within the framework of welfare economics under various economic and spatial constraints. These constraints include decreased local budgets, limited conditions for markets for goods and services, markets for factors of production, public goods, and fewer opportunities of agglomeration economies. In many areas of a given region, such constraints can be more evident, partly because of external forces of severe economic competition among different regions and countries. Unless effective planning and policy remedies are considered, these regions may cause obstacles to pursuing stable and sustainable growth and development. This paper presents the sustainable resilience policy of a generalised framework of smart planning strategy that uses an intra- and inter-regionally coordinated cooperative networking system. The regional economic model used in this paper reveals that the system may work sufficiently only if the scale and scope of coordination are optimally organised because of the presence of the barriers of physical distance; complexity of contracts; and other economic, spatial, and administrative restrictions. Our scenario enables the region not only to passively receive incoming external economies but also to actively discharge the spill-over effect to others, which forces involved economic agents to cooperate rather than compete. [ABSTRACT FROM AUTHOR]

The idea of creating "green" or "sustainable" cities is aimed at improving and optimizing urban "metabolism" and involves the use of energy-efficient design solutions, "green" materials, and new approaches to urban urbanism. Some scientific sources give different interpretations of the definition of "smart city", which gives an idea of a more accurate understanding of such innovative settlements. As a rule, the differences in definitions are tied to the diversity of countries. Examples of smart cities are given, which are both successful and unsuccessful examples. In this article, an analysis was carried out using the method of questioning the citizens of Ukraine about the main priorities for defining the concept of a "smart" city. The most popular among the proposed answers were "smart" waste disposal and energy efficiency. This topic is relevant especially in the context of solving the issues of designing the urban environment, organizing the construction of buildings using environmentally friendly, renewable energy sources using digital technologies of smart cities. [ABSTRACT FROM AUTHOR]

Smart City (SC) is a booming model of urban development with great potential, armed to be one of the urban development's most powerful developing weapons. However, the development of SC is far from satisfactory. Therefore, finding new paths for SC becomes imperative. Transit Oriented Development (TOD), which often focuses on the core areas of SC, is believed to be a substantial contributor to the development of SC. Nonetheless, the relationship between SC and TOD and the effects of TOD in promoting SC are rarely studied. In this study, we proposed a conceptual framework of Smart TOD (S-TOD), which could highlight TOD 5.0 but more than that. S-TOD is an integration of SC and TOD, utilizing the deconstructive method and the abductive method. We first defined S-TOD, which integrates SC and TOD as the twin sources. Then, we employed the concept of Deoxyribonucleic Acid (DNA) to construct S-TOD in a cross-boundary path as the connection between DNA and its twin subchains can perfectly reflect the inner relationship between S-TOD and its twin sources, SC and TOD. Finally, we built up the structure of S-TOD with three layers, i.e., the cloud layer, the tactile layer, and the land zones layer. The purpose of this paper is to enhance the practical value of SC, from a perspective that has been neglected, that is, the combination with TOD, provide a new perspective for the research and practice of the integration of SC and TOD, and effectively facilitate the advantages of SC and global sustainable development. [ABSTRACT FROM AUTHOR]

Smart City (SC) is a booming model of urban development with great potential, armed to be one of the urban development’s most powerful developing weapons. However, the development of SC is far from satisfactory. Therefore, finding new paths for SC becomes imperative. Transit Oriented Development (TOD), which often focuses on the core areas of SC, is believed to be a substantial contributor to the development of SC. Nonetheless, the relationship between SC and TOD and the effects of TOD in promoting SC are rarely studied. In this study, we proposed a conceptual framework of Smart TOD (S-TOD), which could highlight TOD 5.0 but more than that. S-TOD is an integration of SC and TOD, utilizing the deconstructive method and the abductive method. We first defined S-TOD, which integrates SC and TOD as the twin sources. Then, we employed the concept of Deoxyribonucleic Acid (DNA) to construct S-TOD in a cross-boundary path as the connection between DNA and its twin subchains can perfectly reflect the inner relationship between S-TOD and its twin sources, SC and TOD. Finally, we built up the structure of S-TOD with three layers, i.e., the cloud layer, the tactile layer, and the land zones layer. The purpose of this paper is to enhance the practical value of SC, from a perspective that has been neglected, that is, the combination with TOD, provide a new perspective for the research and practice of the integration of SC and TOD, and effectively facilitate the advantages of SC and global sustainable development.

In this paper, we sought to answer the question of whether a smart city concept can contribute to the transition towards sustainability at the city level in the age of digitalization, and if so, how. We propose the use of the developed smart planning method and the development of a scorecard-based indicator system that may contribute to the evaluation of the sustainable, climate-conscious and smart nature of local development ideas by guiding local decision makers and other stakeholders. Due to this indicator system, the continuous efficiency improvement of monitoring processes can be realized for the city management and operation, as well as the ex-ante evaluation of market-based urban development projects. A pilot study was conducted at a city of county rank in order to examine the feasibility of the developed indicator system and smart planning method. The described evaluation system may be a useful tool for local governments for identifying the most cost-effective and resource-efficient market solutions considering regional characteristics, to select the most appropriate and optimal solutions according to the development objectives of the municipality fostering the practical implementation of smart and sustainable urban development. [ABSTRACT FROM AUTHOR]

With the rapid development of electric vehicles (EVs) around the world, debates have arisen with regard to their impacts on people’s lifestyles and urban space. Mining spatio-temporal patterns from increasingly smart city sensors and personal mobile devices have become an important approach in understanding the interaction between human activity and urban space. In this study, we used location-based service data to identify EV owners and capture the distribution of home and charging stations. The research goal was to investigate that how the urban form in regions under rapid urbanization is driven by EV use, from a geographical perspective. Using a case study of the expanding metropolis of Beijing, GIS-based spatial statistical analysis was conducted to characterize the spatial-pattern of the homes of EV owners as well as their charging preferences. Our results indicate that the spatial clustering of the homes of EV owners in non-urban central areas—suburban areas—is significantly higher than that in urban central areas. According to the records of visits to charging stations, the spatial interaction distance between the dwellings of EV owners and their visits to charging stations exhibits significant distance attenuation characteristics. 88% of EV owners in this research travels within 40 km (Euclidean distance) between housing and charging stations. At the same time, there were significant differences in the spatial patterns between working days and non-working days which are affected by commuting activities. The three types of urban spatial interaction patterns were identified and categorized by visualization. This transformation to EV use in the city influences several aspects of people’s decisions and behaviors in life. Understanding the impacts will provide valuable information for the development of EVs and their implications in the electrification of transportation, smart planning, and sustainable urbanization.

Tourism experiences remarkable transformations, as a consequence of factors such as technological evolution, changes in demand and the appearance of new business models. The interrelation of these dynamics with tourist destinations raises questions that affect planning and the evolution towards a more sustainable tourism. The consequent need for new approaches and paradigms of planning bases the present work. From a theoretical and conceptual approach, an evolutionary analysis of the tourism planning in Spain is carried out and different planning dimensions are discussed, such as the wear of the theoretical models of reference; the discredit of planning; the challenge of digitalization; the difficulty of applying new techniques, methods and sources of information; or the appearance of tourism dynamics in the local society that reconfigure the relations between residents and tourists. The article proposes the foundations of the smart planning of destinations as a new paradigm of tourism planning, due to its ability to bring together different processes and the possibility that this approach may lead to an accentuation of the role of the market in tourism planning, if there is no reflection on its nature and scope. [ABSTRACT FROM AUTHOR]

Copyright of Bitácora Urbano/Territorial is the property of Bitacora Urbano/Territorial 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.)

In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthermore, the model is successfully and effectively applied to the case study in the Central Region of Queenstown Planning Area of Singapore towards livability. In the case study, the experiments based on equal weights and experiments based on different weights combination have been successfully conducted, which can demonstrate the effectiveness of the spatial multi-objective land use optimization model developed in this research as well as the robustness and reliability of computer-generated solutions. In addition, the comparison between the computer-generated solutions and the two real planned scenarios has also clearly demonstrated that our generated solutions are much better in terms of fitness values. Lastly, the limitation and future direction of this research have been discussed.

Copyright of Cuadernos de Vivienda y Urbanismo is the property of Pontificia Universidad Javeriana 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.)

Previous studies have investigated how resilience can play a pivotal role in strategic urban design in the Netherlands and in some regional and municipal planning laws in Italy. Here, we have analysed several European projects that utilised the resilience approach successfully. Dutch policies already include resilience and climate adaptation in urban strategies. Moreover, they share those strategies with urban communities, making the innovation of the city real and cutting-edge. In Italy, on the other hand, the concept of resilience is present only in some regional laws and is still not used as an urban tool. In this paper, we aim to demonstrate how resilience can become the new paradigm of smart planning. Furthermore, we demonstrate how resilience is fundamental at all levels of urban intervention, involving municipal authorities, architects and urban planners, firms and enterprises, citizens and communities. The urban governance must establish specific goals and objectives to create a smart and sustainable city. Resilience should be one of these main aims, in order to achieve an innovative city design. A climate strategy should also be part of urban smart planning, enabling the implementation of a safer and resilient city. [ABSTRACT FROM AUTHOR]

This paper presents lessons learnt through empirical research work developed in three metropolitan cities in South Italy aimed at exploring if and how the “Smart” framework might improve urban planning in cities with lacks in planning processes. Authors argue that organized networks of citizens (such as non-profit organizations or private associations) together with networks of institutions (such as partnerships amongst municipalities or universities) are needed in order to improve the smartness of a city; technologies are framed as opportunities and supports for more inclusive and informed decision-making processes, i.e. as a tool, rather than as a goal, for effective smartness. The paper discusses the primary findings of a Research Project conducted at the Department of Civil, Architectural and Environmental Engineering (DICEA), University of Naples, titled “Smart Energy Master for the Energy Management of Territory” funded by EU. The methodology is based on the case-study method, whose sources of evidence are: quantitative indicators, archival documents, and excerpts from interviews with key stakeholders. In detail, the paper focuses on three Southern Italian cities (Reggio Calabria, Catania and Palermo), which have been clustered for similar challenges they have to face, in relation to their geographical proximity and cultural features. Findings show the twofold use of technologies for cities: on the one hand, technology may be perceived as a panacea and Smart initiatives may be isolated and episodic experiments; on the other, technologies may be critically incorporated in complex policies and initiatives aimed at regenerating urban areas holistically, and Smart initiatives may be coordinated and well-connected experiences. Authors argue that the second cases are feasible approaches for improving urban planning in challenging South-European contexts. [ABSTRACT FROM AUTHOR]

The construction of the city through smart measures is now a frontier reached from many cities in the world. The built environment requires smart planning able to relate urban realities that are relegated to a marginal change. But how does the smart cities can create a relationship between sustainable cities of the future and their heritage? The article highlights the way of smart urban transformation of reality European and Italian proposing critical comparisons from which to infer smart parameters most used and easy to apply for the sustainable construction of these smart cities focusing on the urban sources of intelligent retrieval for quality their historical and cultural heritage.

The construction of the city through smart measures is now a frontier reached from many cities in the world. The built environment requires smart planning able to relate urban realities that are relegated to a marginal change. But how does the smart cities can create a relationship between sustainable cities of the future and their heritage? The article highlights the way of smart urban transformation of reality European and Italian proposing critical comparisons from which to infer smart parameters most used and easy to apply for the sustainable construction of these smart cities focusing on the urban sources of intelligent retrieval for quality their historical and cultural heritage. [ABSTRACT FROM AUTHOR]

La costruzione delle città attraverso misure smart è ad oggi una frontiera raggiunta da molte città nel mondo. L'ambiente costruito necessita di una pianificazione smart capace di mettere in rapporto realtà urbane che vengono invece relegate ad una trasformazione marginale. Ma in che modo le smart cities possono ricucire un rapporto sostenibile e prestazionale tra le città del futuro e il loro patrimonio? L'articolo, attraverso la presentazione di alcuni casi, mette i luce le modalità di trasformazione urbana smart in realtà europee e italiane proponendone confronti critici dai quali dedurre i parametri smart più utilizzati e facilmente applicabili per la costruzione sostenibile di queste città intelligenti e analizzando i contesti urbani fonti di recupero intelligente per la qualità storico-culturale del loro patrimonio. [ABSTRACT FROM AUTHOR]

With the rapid development of electric vehicles (EVs) around the world, debates have arisen with regard to their impacts on people's lifestyles and urban space. Mining spatio-temporal patterns from increasingly smart city sensors and personal mobile devices have become an important approach in understanding the interaction between human activity and urban space. In this study, we used location-based service data to identify EV owners and capture the distribution of home and charging stations. The research goal was to investigate that how the urban form in regions under rapid urbanization is driven by EV use, from a geographical perspective. Using a case study of the expanding metropolis of Beijing, GIS-based spatial statistical analysis was conducted to characterize the spatial-pattern of the homes of EV owners as well as their charging preferences. Our results indicate that the spatial clustering of the homes of EV owners in non-urban central areas—suburban areas—is significantly higher than that in urban central areas. According to the records of visits to charging stations, the spatial interaction distance between the dwellings of EV owners and their visits to charging stations exhibits significant distance attenuation characteristics. 88% of EV owners in this research travels within 40 km (Euclidean distance) between housing and charging stations. At the same time, there were significant differences in the spatial patterns between working days and non-working days which are affected by commuting activities. The three types of urban spatial interaction patterns were identified and categorized by visualization. This transformation to EV use in the city influences several aspects of people's decisions and behaviors in life. Understanding the impacts will provide valuable information for the development of EVs and their implications in the electrification of transportation, smart planning, and sustainable urbanization. [ABSTRACT FROM AUTHOR]