Journal of City and Development
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Journal of City and Development. 2020, 2(1), 1-6
DOI: 10.12691/jcd-2-1-1
Open AccessCase Study

Comprehensive Study on Distribution of Public Service Facilities and Their Scantiness by Threshold Population: A Spatial Analysis on Pabna, Bangladesh

Mazed Parvez1,

1Department of Urban and Regional Planning, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh

Pub. Date: August 20, 2020

Cite this paper:
Mazed Parvez. Comprehensive Study on Distribution of Public Service Facilities and Their Scantiness by Threshold Population: A Spatial Analysis on Pabna, Bangladesh. Journal of City and Development. 2020; 2(1):1-6. doi: 10.12691/jcd-2-1-1

Abstract

Equal and adequate spreading of Service facilities for all is the prime thing to ensuring equity and quality of life to society. This distribution ensures equal service to all and it is the prerequisite of development of a city. Major cities in Bangladesh now facing rapid urban growth with severe growth of population. For this equal distribution of service, facilities can’t be ensured and that’s why a sustainable development can’t be gained. This consequence of urban haphazard results in Pollution, degradation of the environment, the price hike of land traffic jams, social injustice, and economical degradation. This study finds out the existing distribution pattern of public service facilities like School, College, Community Clinic, and Urban market of Pabna. From the existing pattern point of view, this study also finds out the surplus and definiens of these facilities using the LQ method with threshold population identification by the linear regression model. This study paves a way to the policy and plan makes where the public service facilities are needed and where there is a cluster. By using this study, it will be easy to find out this distribution pattern of these service facilities and also can solve them and equity to urban dwellers of the study area can be ensured.

Keywords:
service facility assessment location quotient service gap spatial analysis threshold population

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