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This paper presents techniques of assessing the present state of water supply situation, sanitation condition and drainage system of an area by using Participatory Rural Appraisal (PRA) method. South Begunbari Slum, Dhaka has been selected as the study area for this study. Several participatory planning tools have been adopted in course of the study for determining the present scenario of the previously mentioned utility facilities in the selected study area. Finally some recommendations have been specified to develop the overall condition. Local people’s participation has been ensured to the maximum limit during the study. Bottom-up approach of planning through PRA method has been demonstrated here. Existing scenario, local peoples vision and assessment of the prescribed needs with regards to the country standard has been also performed.

Dhaka, the capital of Bangladesh, has undergone rapid urbanization in an unplanned manner over the years. The high growth rate of urban population has made the city unable to cope with the changing situations of urban life. This large proportion of urban community is bestowed with various types of problems throughout their daily life. This paper provides an overview of the existing problems at community level in an urban area through PRA (Participatory Rural Appraisal) approach. In this research, an attempt has been made to investigate the physical and social characteristics of the community, activities of the Community Based Organization (CBO), its relationship with other institutions and stakeholders, existing problems of the community, the underlying causes and effects of those problems etc. Finally some internal and external factors reflecting the prospects and limitations of the community, possible solutions of the problems have also been discussed in this research. CBOs are nonprofit groups that work at a local level to improve the standard of life for residents within the community. A CBO can hold a great role for the overall improvement of a community and can also be used as means to route information and other resources for improving the living conditions in a community. The CBO of Monipuripara residential area of ward no. 27 of Dhaka City Corporation North, named “Monipuripara Kallyan Samiti” has been selected for this study. Different PRA tools have been used (i.e. social and resource map, time line, pair-wise ranking, cause-effect diagram, Venn diagram, SWOT analysis) to identify and evaluate the problems, obstacles, prospects and solutions toward a self-sustained and convenient community as a whole. The research identifies that the community leaders of the study area and Monipuripara Samabay Samiti (an organization, providing microcredit facility) have great influence on the CBO. They take almost all decisions in CBO considering others’ opinion. It is revealed from the local residents that the community faces several problems among which traffic congestion, increased number of roadside hawkers and inadequate community services are severe. Key Informant Interview has been also conducted to verify the identified problems and cause-effects of those problems. Throughout the research the mass people and the CBO of this locality have been facilitated to share, enhance and analyze the knowledge of their own neighborhood. However, the community itself affirms possible solutions for the associated problems and some recommendations have also been drawn by the facilitators considering the strength and weakness of the community to reach to a credible conclusion.

Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and investigated their impacts on LST; second, applied artificial neural network to simulate land cover changes for 2019 and 2029; and finally, estimated their impacts on LST in respective periods. Simulation results show that if the current trend continues, 56% and 87% of the DMP area will likely to experience temperatures in the range of greater than or equal to 30 °C in 2019 and 2029, respectively. The findings possess a major challenge for urban planners working in similar contexts. However, the technique presented in this paper would help them to quantify the impacts of different scenarios (e.g., vegetation loss to accommodate urban growth) on LST and consequently to devise appropriate policy measures.