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The coronavirus disease 2019 (COVID-19) pandemic is affecting society’s health, economy, environment and development. COVID-19 has claimed many lives across the globe and severely impacted the livelihood of a considerable section of the world’s population. We are still in the process of finding optimal and effective solutions to control the pandemic and minimise its negative impacts. In the process of developing effective strategies to combat COVID-19, different countries have adapted diverse policies, strategies and activities and yet there are no universal or comprehensive solutions to the problem. In this context, this paper brings out a conceptual model of multistakeholder participation governance as an effective model to fight against COVID-19. Accordingly, the current study conducted a scientific review by examining multi-stakeholder disaster response strategies, particularly in relation to COVID-19. The study then presents a conceptual framework for multistakeholder participation governance as one of the effective models to fight against COVID-19. Subsequently, the article offers strategies for rebuilding the economy and healthcare system through multi-stakeholder participation, and gives policy directions/decisions based on evidence to save lives and protect livelihoods. The current study also provides evidence about multidimensional approaches and multi-diplomatic mechanisms during the COVID-19 crisis, in order to examine dimensions of multi-stakeholder participation in disaster management and to document innovative, collaborative strategic directions across the globe. The current research findings highlight the need for global collaboration by working together to put an end to this pandemic situation through the application of a Multi-Stakeholder Spatial Decision Support System (MS-SDSS).

This study proposes a novel index to evaluate agricultural vulnerability to climate change in coastal areas, using the case of Andhra Pradesh, the state with the second longest coastline in India. Field data was collected from more than 1000 farmers (involved in over 50 varieties of crops) in 22 riverine and coastal case study areas. Data was collected through site visits, surveys and five workshops conducted between November 2018 and June 2019. Based on the collected data sets, a new Agricultural Coastal Vulnerability Index (AGCVI) was developed and applied to the 22 sites located in two districts (Krishna and Guntur) of Coastal Andhra Pradesh. The analysis revealed that the areas with three crop seasons (Kharif, Rabi and Zaid) per year are highly vulnerable to climate change. On the other hand, sites with one crop season (Kharif) per annum are the least vulnerable to climate change. Moreover, grains (particularly rice), flowers and fruit crops are more susceptible to climate change and its induced impacts. Rice is no longer a profitable crop in the case study areas partly as a result of unfavourable weather conditions, inadequate insurance provision and lack of government support for farmers. Cumulatively, all these circumstances impact farmers’ incomes and socio-cultural practices: this is leading to a marriage crisis, with a reduction in the desirability of matrimony to farmers. These findings provide valuable information that can support climate and agriculture policies, as well as sustainable cropping patterns among farmers’ communities in coastal areas of India in the future.

As a consequence of climate change, coastal communities worldwide are subject to increased risk from sea-level rise and more intense storms. Therefore, it is important for coastal managers to have focused site specific data on present and predicted climate change impacts in order to determine shoreline vulnerability. There are few UK studies that characterise coastal vulnerability, while nearly all global work has concentrated on geomorphological and to a lesser extent, socio-economic aspects. In response, the present study developed a new Physical Coastal Vulnerability Index (PCVI) and applied it to eleven UK sites, seven in England, three in Wales and one in Scotland. PCVI results were then compared and contrasted with a new Fiscal Coastal Vulnerability Index (FCVI), which enabled coastal areas to be visually classified in one of four categories to inform relative risk. Both indices were subsequently integrated into a Combined Coastal Vulnerability Index (CCVI). Results showed that Great Yarmouth and Aberystwyth were highly vulnerable, while Llanelli and Lynmouth were least vulnerable, and the importance of integrating both indices is demonstrated by modified overall vulnerability assessments. Therefore, CCVI provides a simple to use shoreline monitoring tool which is particularly suitable for assessment of risk. The indices support coastal planning, including intervention or no active intervention policies, and thereby benefitting a range of stakeholders. CCVI works at local, regional and international scales, and identifies vulnerable locations. Consequently, these indices will inform management strategies to improve coastal resilience under various sea level rise and climate change scenarios.

The establishment and alteration of any coastal feature is largely dependent upon complex hydrological and geomorphologic processes. Therefore, understanding hazard factors and threat risk level is crucial for mitigating risk in coastal zones. This study examines coastal vulnerability factors and their influence along the Coastal Andhra Pradesh (CAP) region in India. CAP has been exposed to frequent hydrological and meteorological hazards due to variations in the geographical, geological, and bathymetric characteristics. Despite substantial vulnerabilities, the risk to the coastline of Andhra Pradesh has not been rigorously evaluated. The current research systematically reviews the drivers and effects of hazards and vulnerabilities in CAP. Findings indicate that urban cities have a considerably higher risk of cyclones and floods due to their locations on the Bay of Bengal tectonic plate, the topology of this coastal region, and higher population density. The study revealed that the Coastal Vulnerability Index (CVI) data along CAP is mostly gathered using low-resolution satellite data and/or field observation surveys. The study further revealed that there are very few existing mitigation strategies developed or discussed within the obtained results. However, more accurate data gathering techniques for coastal vulnerability factors are available such as Unmanned Aerial Vehicles (UAVs): Air-borne and LiDAR sensors, which provide very high resolution data and low-cost accessibility to physically inaccessible places, making them suitable for vulnerability data collection in coastal locations. These findings are useful for stakeholders seeking to reduce or ameliorate the impact of coastal disasters and their impacts on the CAP economy, environment, and population. The study further helps to reduce the existing shortcomings in the assessment techniques used previously.

The current study intends to explore green infrastructure issues in recent urbanisation works and measures employed in informal contexts and peripheral areas in Brazil, in the cities of Sao Paulo and Rio de Janeiro, and in climate-vulnerable areas in India, in the cities of Vijayawada and Guntur (Andhra Pradesh), highlighting the difficulties that arise in their implementation process and also considering their social inequalities. In Sao Paulo, we will focus on urbanisation works that deal with urban drainage, undertaken by the local municipality and the state’s government (Tiete Meadows Park). In Rio de Janeiro, we will analyse urban projects for two bus rapid transit (BRT Transoeste and Transcarioca) lines that are a part of the recent works in public transport launched by Rio’s municipality in the context of the preparation of the city to host big international events. In India, the selected cities were Vijayawada and Guntur that are strongly affected by the escalation of the social and environmental vulnerabilities tied to climate change, such as cyclones that have great impacts on the low-income population. We approach scales that are often divergent or opposite, typical of cities in developing countries, which underwent a vertiginous demographic and territorial growth in the past century and will continue to grow in the present. We search to envisage aspects and contexts in which concepts of green infrastructure were or are being incorporated, outlining their complexity and the public administration inertia when it comes to intervene in urban spaces. Despite the geographical distance that separates Brazil and India, and all their great sociocultural differences, in what it regards urbanisation works and measures and the environment it seems that both countries would be going through similar issues, where there is a foundational gap between practices from the past and discourses towards the future.

The Saudi construction industry is going through a process of acclimatizing to a shifting fiscal environment. Due to recent fluctuations in oil prices, the Saudi construction sector decided to adjust to current trade-market demands and rigorous constitutional regulations because of competitive pressures. This quantitative study assesses and compares existing flat design vs. mid-terrace housing through cost estimation and design criteria that takes family privacy into consideration and meets the needs of Saudi Arabian families (on average consisting of seven members). Five pilot surveys were undertaken to evaluate the property preference type of Saudi families. However, Existing models did not satisfy the medium range family needs and accordingly a 5D (3D + Time + Cost) Building Information Modelling (BIM) is proposed for cost benefiting houses. Research results revealed that mid-terrace housing was the best option, as it reduced land usage and construction costs. While, 5D BIM led to estimate accurate Bill of Quantities (BOQ) and the appraisal of construction costs.

This research examines the transformation of the agro-climatic conditions of the Altai region as a result of climate change. The climate of the Altai region in Russia is sharply continental and characterized by dry air and significant weather variability, both in individual seasons and years. The current study is determined by the lack of detailed area-related analytical generalizations for the territory of the Altai region over the past 30 years. Most of the published data dealing with an integrated analysis of the agro-climatic conditions in the Altai region date back to the late 1960s and early 1970s, in most cases, this data is from climate reference-books based on the generalized data from the first half of the 20th century. To make accurate forecasts and to efficiently manage agricultural production in the Altai region, area-related data on the state and dynamics of agro-climatic changes have been analysed. The results reveal that in the period between 1964 and 2017, significant climatic changes occurred in the territory of the Altai region. These climatic changes affected the growing season length, which increased due to a shift in the dates of the air temperature transition above 10 &deg, C, to earlier dates in spring and to later dates in autumn. Furthermore, the current study also revealed that the foothills of the Altai Mountains are the most moistened parts of the region and the Kulunda lowland is the most arid part. In the Altai region, the accumulated temperatures and amounts of precipitation during the growing season increased significantly, and the values of integrated coefficients and indices that reflect the moisture supply conditions for the territory also changed significantly. Based upon the results, a schematic map of the current precipitation distribution on the Altai region&rsquo, s territory has been generated. These results and this map may be used to conduct more detailed studies in the field of agro-climatology and to update the current borders of agro-climatic areas and revision of the agro-climatic zonation scheme.

Saudi government ministries have depended on transparent outsourcing regulations, to contract independent competent companies to estimate costs during the conceptualization phases of construction projects. Aforementioned companies often face the errors in their estimations. Unprofessionalism, inflation, lack of standardised industry cost estimation methods and uncertainty play vital role to failure the project estimations. To attain more accurate project cost estimations, the Saudi ministries must regulate their cost estimation methods and should incorporate recent technological solutions into their cost estimation processes. This paper qualitatively analyses project cost estimation processes adopted by Saudi government ministries, identifies their shortcomings and examined the effects of adopting multi-dimensional computer aided design (MDCAD). The information used for this analysis has been collected from ministries, contract companies and academic literature. 

The Nigerian agricultural sector is threatened by changing weather patterns that has been shown to have been influenced by climate change. This work investigates how environmental forcing influenced crop productivity over a 30-year period in Enugu State, Nigeria. Environmental components such as, precipitation, humidity and extreme temperatures were directly compared with annual crop yield variations of the key staple food crops. Regression models constructed around the Environmental forcing data showed increasing temporal trends in all assess areas, with R2 values that ranged between 1% and 23%. While, similar models related to crop yield also identified increasing trend in most crops, an important exception being Yam and Melon with R2 values ranging between 4% and 70%. Fertilizer use dramatically increased during the same period, but no correlation could be found with overall crop yield. Pearson correlation matrices were mostly positive between environmental forcing with crop yield but highlighted that Yam production was negatively influenced by increasing precipitation and humidity will precipitation was positively correlated with melon yield. A study conducted using questionnaires assessed the farming communities knowledge, awareness and perception of climate change (n=227). Result show that 61% of respondent are experiencing climatic impacts, while 63% are concerned of potential effects. Further, 55% believe that it is already too late to do anything to mitigate against likely consequences. In terms of knowledge and information sources, most farmers questioned (64%) sources their information from the media. This poses challenges for more robust scientific methods and dissemination of that data, something that needs to be considered by local, regional and international government and policy makers. Questionnaire evaluations showed that the majority of Nigerian farmers were fully aware of climate change and its impacts, with most complaining that due to higher costs there was little or nothing they could do to address the issues. Furthermore, 64% of Nigerian farmers trusted information received from mass media, while the majority attributed climate change to anthropogenic factors (41%). Results showed that most farmers were more concerned about increasing rainfall and drought than other environmental issues.

Significant coastal vulnerability (CV) in the United Kingdom (UK) endangers the population and the infrastructure and distorts the national economy, yet present and proposed literature only quotes previous circumstances that failed to deliver factual fiscal assessment. The current estimate models for coastal vulnerability are useful for decision-making in some magnitudes, but coastal vulnerability models need to be extended to comprise a wider choice of economic effects. These are real problems that need to be addressed for an estimation of fiscal coastal vulnerability with novel models of science and economics to limit destruction costs or spend with greater resilience. To address the current research gap, this study appraised coastal vulnerability by establishing an innovative model: a Fiscal Coastal Vulnerability Index (FCVI) with fiscal parameters by 2 Path analysis (2 PA). It identifies the coastal vulnerability hotspots in Path One (P1) and develops an FCVI and GIS maps in Path Two (P2). Primary results revealed that 11 sites across the UK (seven in England, three in Wales, and one in Scotland) were identified as fiscally vulnerable coastal areas. Identified sites currently contain £22.36 billion worth of coastal vulnerability, and >100,000 people are at high risk of flooding, erosion, storm surge, and high winds. The Fiscal Coastal Vulnerability Index can be adapted depending on kind of coastal environment and used as a planning tool to establish economic susceptibility. This work explains that the methodological framework can be adjusted for any suitable coastal sites at global or regional scales, and can be used to vindicate in-depth studies for coastal defences and budget.

Tornadoes are dangerous and destructive weather phenomena. The strongest category of tornadoes on the enhanced Fujita and TORRO scales is responsible for 75% of property destruction and deaths across the globe. These issues highlight the need for new design practices aimed at producing tornado proof homes in particular 3D CAD models in tornado prone zones at current climatic scenarios. Previous studies were entirely based on traditional slants and failed to offer a reliable tornado proof home, other than small rooms and trailers, while, none of the literature concentrated on multiple factors (cost, safety and high-wind proof). Therefore, a knowledge gap exists. In order to address the current research gap, this study attempts to develop an innovative 3D CAD model for tornado resistant homes by incorporating 2 PA (Two Path Analysis). Consequently, this study provides a new design using a 3D-CAD model for a tornado resistant home as in Path One and cost and safety scenarios in Path Two. However, this new design utilizes missile steel and shield technology. Preliminary results showed that, while this new design is safer and more technically sophisticated, it involves an increase of 25–30% in construction costs. However, this increased expense is low in comparison with rebuilding costs.

Climate change and associated factors such as global and regional sea-level rise; the upsurge in high-intensity flooding events; and coastal erosion are pulse and press disturbances that threaten to increase landslides in coastal regions. Under these circumstances; a rigorous framework is required to evaluate coastal vulnerability in order to plan for future climate change scenarios. A vast majority of coastal vulnerability assessments across the globe are evaluated at the macro level (city scale) but not at the micro level (small town scale); particularly in the United Kingdom (UK). In order to fill this vital research gap; the current study established a coastal vulnerability index termed here as the Micro Town Coastal Vulnerability Index (MTCVI) and then applied it to Barton-on-Sea; which is a small coastal town of the Hampshire region; England; UK. MTCVI was evaluated for Barton-on-Sea coastal vulnerability by integrating both novel and existing parameters. Results suggest that the entire shoreline frontage (2 km) exhibits very high coastal vulnerability and is prone to various coastal hazards such as landslides; erosion; and wave intrusion. This suggests that Barton-on-Sea coastal amenities will require a substantial improvement in shoreline protection measures. In this study; GIS (geographic information system) coastal vulnerability and landslide maps were generated; and these maps can be used by the local authorities; district councils; coastal engineers; and planners to improve and design coastal management strategies under the climate change scenarios. Meanwhile; the methodology used in this study could also be applied to any other suitable location in the world depending on the availability of the data.