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RISS 인기검색어
- 검색키워드
- 저자 : Sarkar Showmitra Kumar (검색결과 4 건)
- 무료
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Investigating the spatial collision factors involved in bikeshare crashes at Washington, D.C
Showmitra Kumar Sarkar,Kazi Redwan Shabab,Palash Chandra Das,Mohamed H. Zaki 대한공간정보학회 2023 Spatial Information Research Vol.31 No.1
The objective of the study is to explore and characterize the spatial collision factors for bikeshare crashes using spatial and mathematical modeling. First, the nine most influential components behind the bikeshare crashes in Washington, D.C (179 census tracts) were selected as study variables (i.e., population density, number of bikeshare trips, etc.). Next, a spatial weight matrix was used to quantify the spatial relationships among the study variables with the bikeshare crashes. Finally, three models (i.e., Classic Regression, Spatial Lag, and Spatial Error) were used to investigate the essence of the interaction between these variables and bikeshare crashes. Finally, the spatial collision factors involved in bikeshare crashes were identified. According to model results, two causal factors (i.e., no. of cafe and no. of bikeshare points) significantly influence the bikeshare crashes in the Washington, D.C. area. The findings regarding spatial factors involved in bikeshare crashes can be useful in making optimum decisions regarding planning for bikeshare safety.
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Spatial modeling of COVID-19 transmission in Bangladesh
Sarkar Showmitra Kumar,Ekram Khondaker Mohammed Mohiuddin,Das Palash Chandra 대한공간정보학회 2021 Spatial Information Research Vol.29 No.5
The purpose of the research was to investigate and identify the demographic risk factors behind the transmission of COVID-19 in Bangladesh based on spatial and statistical modeling. Number of COVID-19 confirmed cases per thousand population as the dependent variable and nine demographic explanatory variables were considered. Different spatial (i.e., Spatial Lag and Spatial Error Model) and non-spatial (Classic Model) regression techniques were employed in the research to detect the geographical relevance of potential risk factors affecting the transmission of COVID-19. Results indicate that population density was crucial for explaining the pattern of COVID-19 transmission in Bangladesh. Spatial Auto-correlation suggests that the spatial pattern of population density were significantly clustered at a confidence interval of 95%. Again, the regression analysis also shows that population density is an influential determinant for the propagation of COVID-19 in Bangladesh, with densely populated districts like Dhaka and Narayanganj also being among the worst affected areas. The findings of this research will help the government agencies and communities for effective and well-informed decision making in order to develop and implement strategies to contain the further spread of COVID-19 in Bangladesh.
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Application of remote sensing for salinity based coastal land use zoning in Bangladesh
Morshed Md. Manjur,Sarkar Showmitra Kumar,Zzaman Md. Rashed Uz,Islam Md. Mazharul 대한공간정보학회 2021 Spatial Information Research Vol.29 No.3
Rising soil and water salinity is a major concern for coastal areas. Salt-water shrimp aquaculture is a land use mal-adaption to the rising salinity trend, and is contributing to the salinity expansion as well as lowering land productivity in the coastal areas of Bangladesh. This paper aims to propose a salinity-based land use zoning to restrict salinity expansion and to reduce land use conflicts. An integrated salinity detection technique combing field soil samples, a geographic information system and remote sensing were used. Subsequently, two determining factors of land suitability—soil salinity and distance from saline water sources—were used to identify zones for paddy/crop, mixed use and shrimp. The study districts witnessed rising salinity between 1990 and 2016, and thereby, decreasing suitable land are for paddy/crop by 20.96% of the agricultural area. The land suitability for paddy, mixed use and shrimp zones was found to be 51.88%, 29.36% and 18.76% of the study area, respectively. The proposed zoning strategy of this paper can be used as a quick and efficient tool for baseline information for integrated coastal zone management plan.
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Transformation towards a mega-regional formation of Khulna city, Bangladesh
Md. Manjur Morshed,Tanmoy Mazumder,Showmitra Kumar Sarkar,Fahmida Yeasmin Sami,Afiya Kashem Ishra,Sumya Sydunnaher 대한공간정보학회 2022 Spatial Information Research Vol.30 No.5
A mega-industrial region is frequently the result of purposeful regional development policies. Mega-region development is a new form of rapid urbanization and economic growth that is stimulated by government infrastructure projects. The objective of this research is to examine how the core built-up area and population growth of Khulna city, Bangladesh are slowing relative to the periphery as a result of mega-regionalization. We describe the spatial transformation of the city using GIS and remote sensing for built-up area identification and two urban expansion indices–expansion intensity index and urban expansion differentiation index–for quantitative measurements. The findings indicate that the city’s periphery is seeing a higher rate of land use change and population agglomeration than the core. Secondly, the development hotspots are located in the peripheral regions. This change is largely fuelled by conventional speculative land and housing development similar to most cities with growing economies, and not the result of becoming a mega-industrial region. The land use transformation at the regional level and the city’s periphery has catastrophic repercussions because of massive resettlement and depeasantization.
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