For a long prior time, planning is being deprived of resulting unplanned urban growth that happen consequences the urban problems. A GIS-based site suitability analysis using the AHP model is performed with criterion: land use, population distribution, water network, drainage network and road network. The suitable growth sites are determined through expert opinion, pair-wise comparison matrix and finally determining the weighted value. This paper found out the potential urban growth mainly in ward no. 2, 7, and 6. Optimally suitable places are those sites where future urban development can easily occur and have all the required facilities with available commercial, industrial, and official land use, moderate and highly suitable places need some facilities e.g., water supply, drainage management, road network and rearrangement of land use. Very few and partly suitable sites need major involvement of facilities and revisions of present land use for potential urban development. This information can be useful for policy makers for planning processes as an acceptable scientific process for site suitability analysis in the municipality area for avoiding the urban problems and ensuring sustainable development.

Purpose The purpose of this paper is to find out the causes of increasing population in the real estate area. The demographic in information of the respondents and the level of satisfaction was also carried out for this study. Design/methodology/approach The authors use both primary and secondary data. Total 329 respondents were surveyed at the real estate area after completing sample size determination. Secondary data was collected from journals, real estate offices and papers. After that, using regression and correlation analysis, the data was analyzed and finalized. Findings This study identified migration as the most critical variable. The study determined ten hypotheses and only accepted two. By that, this study finds out the causes of the increasing demand of plots and flats in real estate. Originality/value This study will work as a baseline study for the real estate sector in Bangladesh. Most of the research on Bangladesh’s real estate is done mainly on real estate market assessment and consumer satisfaction. Nevertheless, this study will find out the causes of the increasing population in real estate.

Purpose The quantity of e-taxi in Bangladesh is increasing day by day, especially in the municipality area. With the increase of this e-taxi quantity, it becomes hard to provide parking space for these consequences the illegal parking on road. This parking consequences traffic congestion on the road and obstructs the free flow of traffic. So, this paper aims to investigate the present scenario of this e-taxi parking problem and provides a solution by finding out a suitable location for an e-taxi station by the analytic hierarchy process (AHP) approach. Design/methodology/approach For the study, both primary and secondary data were collected. Primary data on existing parking points on the road of e-taxi which consequences traffic congestion are collected from the Municipality area. Secondary data on the existing road network of the Pabna Municipality has collected from the MIDP data also from the literature review. For the suitability analysis process for establishing an e-taxi station, six variables were determined. These variables are determined from the previous studies and the expert opinion survey. The six variables are land use of the study area, road network of the study area, proximity to the office area, proximity to the educational facilities, proximity from the market and finally,proximity from the hospital. After the selection of the variables ranking value was determined from the expert opinion. Then using The AHP method final weight value is determined and, finally, with the assist of geographical information system. Findings From the resulting total 4,285 spots were found as optimally suitable spots are found which is almost 21% of the suitable spot. No mostly suitable spots are found from the GIS analysis. The moderately suitable spots were found in the prime number of 14,817 spots, almost 75% of the suitable spot. Likely the most suitable spots no partly suitable spots were found but the number of very few suitable spots was found in the number of 918, 4% of the suitable spot. A total of 20,020 spots was found as suitable for the construction of E-taxi station. Originality/value Finding out a suitable spot for e-taxi stand the traffic congestion can be solved, accident risk can be minimized during loading and unloading of passengers and the municipality authority can find a permanent solution for the traffic congestion problem.

The use of bricks in construction work is increasing in Bangladesh is increasing day by day. Pabna is a growing city with a large population. As a result, numerous brick fields have been established in Pabna Municipality and the adjacent areas. As a result, brickfield smoke emissions are increasing daily. Various socio-economic, environmental, and health-related issues have emerged. However, no initiatives were taken to preserve the air quality of Pabna. In Pabna, Bangladesh, the research looks into the effects of Brickfields' smoke emissions on socioeconomic circumstances and human health. This study determines which diseases are caused by air pollution, as well as the social and economic effects of the brickfields on Pabna municipality. In addition, the air quality index (AQI) has been determined by the study. This research was utilized to spur the development of future studies aimed at reducing and controlling the air pollution concerns related to brickfields in this area. It is also anticipated that the survey would help develop future control strategies for creating a pollution-free environment in Pabna, Bangladesh. The influence of brickfield-related smoke on human health and socioeconomic situations will be investigated in this study. Finally, the research will give suggestions based on stakeholder input to assist authorities in developing a viable, long-term strategy for the future.