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Assessment of development plans particularly in terms of land use and land cover can strategically support conventional land use planning practices. This paper attempts to assess the land cover related proposals mentioned in the development plans of two small urban areas, namely Madaripur and Rajoir of Bangladesh, which are rapidly growing and facing shrinkage of agricultural lands and water bodies by such growth. Land cover data for the study have been extracted from Landsat satellite images of 1995, 2005 and 2015. The classified satellite data have been employed in a Multi-Layer Perceptron Markov model to predict the land cover scenario of the study areas for 2035, the terminal year for the development plans. The proposed development plan and the modelpredicted land cover maps of 2035 are both quantitatively and spatially compared. The study also determines the degree of conformance and identifies the affected sites within respective protected areas. The analysis reveals significant mismatches between the development plans and the model predictions for the unconstrained simulation of the model, whereas fewer differences are observed in the case of guided simulation. The results imply that lack of implementation of the development plans may result in undesired land cover transformations. It recommends employing remote sensing and GIS-based models to support the land-use plan-making process in the development authorities.

Caring is a well-known habit but it is often neglected as a practice in real world, particularly for taking care of the natural resources. Global North has taken some progresses in caring for nature by utilizing sustainable consumption behaviour of the city dwellers. However, it is still far beyond of thinking and application of care in a sustainable way in the Global South countries. This often denies the achievement of sustainable development goals (SDGs) of the Global South, particularly regarding environmental conservation and biodiversity. In this connection, this paper aims to investigate some scholarships to bridge the gap of this approach for sustainability in Bangladesh, a rapidly urbanized country in the Global South. Based on systematic review of literature, this paper shows the implementation of pro-environmental behaviour with creating value of human understanding and caring of nature can be a way of sustainable management of natural resources while the natural resources are depleting rapidly.

Introduction In the United States, health care has long been viewed as a ‘right,’ and residents of the state of Ohio are no exception. The Ohio Department of Health ensures that this right exists for all residents of Ohio. Socio-spatial characteristics, however, can have an impact on access to health care, particularly among vulnerable groups. This article seeks to measure the spatial accessibility to healthcare services by public transport in the six largest cities of Ohio based on population and to compare the accessibility of healthcare to vulnerable demographic groups. To the authors’ knowledge, this is the first study to analyze the accessibility and equity of hospitals by public transit across different cities in Ohio, allowing the identification of common patterns, difficulties, and knowledge gaps. Methodology Using a two-step floating catchment area technique, the spatial accessibility to general medical and surgical hospitals through public transportation was estimated, considering both service-to-population ratios and travel time to these health services. The average accessibility of all census tracts and the average accessibility of the 20% of most susceptible census tracts were determined for each city. Using Spearman’s rank correlation coefficient between accessibility and vulnerability, an indicator was then devised to evaluate vertical equity. Findings Within cities (except Cleveland), people of vulnerable census tracts have less access to hospitals via public transportation. These cities (Columbus, Cincinnati, Toledo, Akron, and Dayton) fail in terms of vertical equity and average accessibility. According to this, vulnerable census tracts in these cities have the lowest accessibility levels. Conclusion This study emphasizes the issues connected with the suburbanization of poverty in Ohio’s large cities and the need to provide adequate public transportation to reach hospitals on the periphery. In addition, this study shed light on the need for additional empirical research to inform the implementation of guidelines for healthcare accessibility in Ohio. Researchers, planners, and policymakers who want to make healthcare more accessible for everyone should take note of the findings in this study.

The concept of ‘re-naturing cities’ promotes nature-based solutions for sustainable urban design; one of those being water-centric development with networks of blue (water bodies) and green (vegetation areas) aims to generate urban areas that support economic growth, strengthen social cohesion, and restore degraded ecosystems. Projects get implemented for revitalizing urban water bodies with multifunctional areas. This context demands to study water-centric development projects for evaluating the success of ‘re-naturing cities’ in terms of achieving sustainable goals. This research analyzes a part of a canal restoration project of Narayanganj City, Bangladesh, for investigating the development process and understanding its effectiveness in achieving sustainable goals. The study employs multiple qualitative tools for capturing users' views (emic analysis) and researchers' views (etic analysis). The combined understanding identifies that the project focuses primarily on adding an aesthetically pleasing element to the urban fabric, overlooking multiple socioeconomic and ecological possibilities of living with water.

Teleworking (i.e., working from home), with the aid of teleworking technologies, became widespread over the world as an impact of COVID-19. The long-term impact of teleworking in the future on commuting and social equity is discussed by the experts. However, less attention has been paid to the factors that are associated with people's choice to start teleworking for the first time or existing teleworkers’ choice to increase the current frequency. This study investigates the changes in preference for teleworking frequency in the post-pandemic era. From a survey of 301 respondents in New York City, respondents are split into three categories. These are (1) previous teleworkers who do not want to increase their teleworking frequency, (2) previous teleworker who want to increase their frequency (i.e., extended teleworker), and (3) previous non-teleworker who wants to start teleworking (i.e., prospective teleworker) as the city reopens. A multinomial logit model is used to predict these categories with the help of several sociodemographic, household, geographic, travel behavioral, and attitudinal characteristics of the respondents. The model suggests that younger people and non-Hispanic people are more likely to extend or start teleworking than their counterparts. Females, Blacks, low-income people, and people with a child under five years are more likely to start teleworking while their counterparts (i.e., males, non-Blacks, high-income people, and people with a child under five) are more inclined towards extending teleworking. More work-trip makers and public transit users (for grocery) have less probability to extend teleworking. People with more pro-street and pro-out-migration attitudes and less pro-safety attitudes are more interested in starting or extending teleworking. The findings help targeted investment for post-pandemic accessibility, travel demand management, and energy efficiency.

Land use and transport integration has been highlighted as one of the most important policy objectives considering the interrelationship between the two concepts and can be used as a means of planning through intervention. From the standpoint of revealing the interplay, the study's objective is to assess the land use change of Dhaka City Corporation Area and determine its impact on transportation to assist the national policymaking and achieve Sustainable Development Goals (SDGs). The methodology directed the determination of the land use change from 2010 to 2018, and then the consequent change in traffic flow while the necessary data in this regard were collected from secondary sources. The study shows that mixed-use development generates fewer trips. This is the study's finding in regard to integration among the national policies regarding land use and transport planning. This study is a methodological approach to analyse the impact of land use change on transportation and can be a role model for solving complex urban problems, e.g., traffic congestion by integrating the Land Use-Transport interaction. The study provides a background of the policymakers in their policymaking process, and an integrated policy will enable the nation to fulfil its Sustainable Development Goals.

Green Energy comes from environmental natural resources which are renewable. Green technology alludes that is earth unneighbourly, created, and utilized in a way with the goal that it does not irritate our condition and conserves natural resources. Its uses are getting a solution for widespread global warming fears and the increasing scarcity of many natural resources. Green energy and technology are interrelated to achieve a stable environment and sustainable development. This paper reviews the studies which are related to green energy and technology and shows the existing scenario, potentialities of using it in Bangladesh. Data identifying strategies are gathered from research papers, government documents, relevant green energy and technology policies, interviews with experts. There are some problems with the growing green energy and technology in the country. Therefore, based on problems, some strategic ideas are recommended in this paper.

Safety experts and transportation departments are focused on reducing road accidents and their societal and economic effects. The most crucial step in establishing a successful road safety practice is identifying dangerous highway zones through the study of crashes and looking at how the location of accidents relates to surrounding geography and other factors. Using the latest cutting-edge GIS analytical methods, this study aims to map the locations of accident hot spots and evaluate the severity and spatial extent of crash occurrences in Ohio. Road traffic crash (RTC) data has been analyzed using sophisticated GIS-based hot spot analysis for decades by safety researchers. Using four years' worth of crash data from the state of Ohio and spatial autocorrelation analysis, this study aims to show how a GIS technique can be used to find places where accidents are likely to happen (2017-2020). The study analyzed and ranked crash hotspot areas using the matching severity levels of RTCs. Cluster zones of high and low crash severity were discovered using the spatial autocorrelation tool and the Getis Ord Gi* statistics tool to evaluate the distribution of RTCs. The analysis used Getis Ord Gi*, the crash severity index, and Moran's I spatial autocorrelation of accident events. The findings indicated that these techniques were useful for identifying and rating crash hotspot locations. Since the sites of the identified accident hotspots are located in significant cities in the state of Ohio, such as Cleveland, Cincinnati, Toledo, and Columbus, the organizations in charge of traffic management should make it their top priority to minimize the negative socioeconomic impact that RTCs have and should also conduct a thorough investigation. This study's contribution is the incorporation of crash severity into hot spot analysis using GIS, which could lead to better-informed decision-making in the realm of highway safety.