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Land and property development process includes a series of multifaceted activities ranging from purchasing to converting it for development purposes and everything in between. The process itself encompasses multiple stakeholders, drivers, and contributions from diversified public and private actors and transaction cost arises out of their complex interaction. Transaction costs incurred during any kind of human interaction (i.e., transactions). Every actor involved in the process wishes to maximize his achievement under various constraints and hence institutional arrangement (i.e., set of humanly devised rules to administer the constraints) is necessary for efficient management of the development process. Therefore, to devise an optimum outcome out of economic and social transactions in the property development process, cooperative and competitive relationships between individuals should be understood from a broader sociopolitical and governance structure. In this research, it is critically argued that the land and property development process should implicate a multifaceted set of formal and informal rules or institutional arrangements to govern the intrinsic interaction, action and thereby reducing the related transaction cost. The central argument is further reproachfully evaluated and implicated in the urban development process through the myopic lens of the Transit-oriented development (TOD) pathway. A vigilant combination of descriptive and explanatory research approaches is adopted to analyze the connection between theory and practice.

BACKGROUND AND OBJECTIVES: Though Public Spaces are the images of the social status of the community, but in case of Dhaka City (Bangladesh), there are intensely shortages of public open spaces. Recently, a number of parks and playgrounds in Dhaka South City Corporation area have been redeveloped under a government project. So, this research has highlighted on the state of usefulness of these redeveloped public spaces of Dhaka South City Corporation. METHODS: Amongst many types of public spaces, only parks and playgrounds had been counted for this research purpose. A mixed method approach had been opted, as it includes both qualitative and quantitative data for the assessments. Qualitative assessment with pictures of structures in public spaces had been conducted and maps of the area had been produced using ArcGIS 10.5 software. Also, statistical analysis like descriptive analysis, chi-square test, multiple regression model etc. had been conducted using Statistical Package for Social Sciences and Microsoft Excel software which covered quantitative assessment. FINDINGS: This study found that though the visitors had been increased after redevelopment, but the quality of infrastructures and accessibility were not up to the mark even after redevelopment. These public spaces were abandoned or vacant land formerly. But these places were refurnished with new structures. But there was cave-looked boundary in every public space and the area had been restricted and locked up by the authorities. Elderly people, less-educated people, high income group people, new inhabitants of that area visited most. And also, in every demographic group, visitors have been increased after redevelopments. The selected public spaces only serve 6.44% of the Dhaka South City Corporation area in terms of walking distance (400-meter). ‘Unclean toilet’ is the major problem and almost around 65% to 85% respondents had complaints on it in most of the public spaces. Besides, Women, new inhabitants of that area, visitors who faced problems in accessibility and who can’t feel safe and secure in the public spaces have less satisfaction with these public spaces. CONCLUSION: This research has addressed the efficiency of redeveloped public spaces in Dhaka South City Corporation area. A strong community involvement in public space is beneficial to improve wellbeing. So, it was an important affair to investigate the association between the public involvement in public space and the quality of public space. The research findings may help the urban planners and policymakers in development sectors of Bangladesh.

With the rapid growth of urbanization, the possibility of hazard has increased. Owing to high population concentrations and economic activities, the likelihood of hazards in urban areas is more nuanced than in rural areas. Vulnerability assessment of hazards has been a hot topic in the field of Engineering and Urban and Regional Planning. Due to the complicated hazard characteristics, not only engineering but planning approaches are required in order to effectively mitigate hazards.In recent years, the rapid growth of Dhaka cities has accelerated the pressure on existing buildings, and there is a need to establish adequate seismic safety screening methods for existing buildings specific to building typologies. Dhaka City is in danger of an earthquake and several incidents have occurred. In most situations, the lack of appropriate precautionary steps, administrative inefficiency, inadequate funds for equipment and lack of public knowledge make the situation worse. Ward 27, an old part of Dhaka City, was chosen for seismic vulnerability assessment in this survey. For seismic vulnerability assessment, a sample of 300 buildings was evaluated using Rapid visual screening (RVS) process by Federal Emergency Management Agency (FEMA). The rapid visual screening process is the initial stage in the assessment of existing buildings. The survey focuses on earthquake issues such as building type, size and shape of the plot, specific distances from surrounding structures, road width and basic building information.The use of Rapid Visual Screening (RVS) in the field of research allows screened buildings to be divided into two categories: those that are expected to have sufficient seismic efficiency and those that could be seismically unsafe and that should be further studied.

With the increasing tension on the global sustainable environment in the urban areas, it is essential to monitor the airborne pollutants and understand the underlying factors that can trigger the situation in a worst-case scenario. Because of its cramped living conditions, excessive coal and fuel usage, and rapid deforestation, the southeast Asian region has historically had worse air quality than the rest of the world. The economic hubs of India and Bangladesh, in particular, have drawn so much attention away from rural regions that unrestrained urbanization is becoming controversial for planners, engineers, and stakeholders in sustainable development. This research combines the two main Asian capital regions, Delhi and Dhaka. It analyzes the change in nitrogen dioxide (NO2) concentration, land surface temperature (LST), and vegetation dynamics across three years (2019–2021) for summer and winter. The NO2 concentration data from Sentinel-5P has been extracted using Google Earth Engine (GEE), and Landsat-8 imagery was utilized for LST, Normalizer Vegetation Index (NDVI), and Enhance Vegetation Index (EVI). The statistical analysis has been carried out by dividing the research regions into one sq. km grid (1512 grids for Delhi and 1485 grids for Dhaka). According to descriptive research, Dhaka's condition is worse than Delhi's, with significant vegetation loss with LST and NO2 concentrations rising. In both research regions, the NO2 concentration is high throughout the winter. The Pearson correlation value demonstrates a negative association between total NO2 concentration and mean NDVI and EVI values and a positive relationship between total NO2 concentration and mean LST. The data have been further assessed using linear regression, which overlaps the correlation result with a maximum R-squared value of 0.2998 for NO2 and EVI in winter 2019.

This study explores the modality and trip chaining patterns of individuals in Dhaka, Bangladesh. We use household-level trip data for a day collected from randomly selected respondents of the Dhaka Metropolitan Development Plan area. We found that walking and rickshaw are the dominant modes of travel. The majority of individuals are unimodal and mostly depend on either walking or on rickshaws. Individuals generally walk for the first and last-mile connections to public transit. Cars are used more for non-home-based business trips. Personalized modes such as cars, cycles, and motorcycles are present at a higher proportion in the super complex trip chain than other types of chains.

This study aims to identify the effect of seasonal land surface temperature variation on the COVID-19 infection rate. The study area of this research is Bangladesh and its 8 divisions. The Google Earth Engine (GEE) platform has been used to extract the land surface temperature (LST) values from MODIS satellite imagery from May 2020 to July 2021. The per-day new COVID-19 cases data has also been collected for the same date range. Descriptive and statistical results show that after experiencing a high LST season, the new COVID-19 cases rise. On the other hand, the COVID-19 infection rate decreases when the LST falls in the winter. Also, rapid ups and downs in LST cause a high number of new cases. Mobility, social interaction, and unexpected weather change may be the main factors behind this relationship between LST and COVID-19 infection rates.