Literature DB >> 33435188

Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility.

Wei Wang1, Zihao Zhou1, Jun Chen1, Wen Cheng2, Jian Chen1.   

Abstract

Urbanization has been a flourishing process in a wide range of developing countries. The planning and construction of public service facilities is a crucial component of this process. Existing planning methods of public service facilities focused on macroscopic indicators like population and GDP. In this way, accessibility and transportation conditions were neglected. Four typical counties in China were selected as samples where travel surveys and questionnaire surveys on public service facilities were conducted. Taking education and medical care as representative public service facilities, this study used geographic information processing to connect the locations of public service facilities at all levels with the urban land accessibility. Then, analysis of variance was used to obtain correlations between the level of public service facilities and the urban land accessibility. The results showed that the urban land accessibility of locations of public service facilities follows a normal distribution. Categories of facilities showed significant difference on urban land accessibility. Therefore, intervals of urban land accessibility of locations of public service facilities within one standard deviation from the mean were constructed by category. These intervals built a connection between transportation conditions with locations of public service facilities. Corresponding relation of carbon emission of facility-related trips and urban land accessibility was established as an example of an application. Carbon emissions caused by facility-related trips can be reduced by locating facilities at locations with appropriate urban land accessibility.

Entities:  

Keywords:  carbon emission; correlation analysis; location of public service facilities; urban land accessibility

Year:  2021        PMID: 33435188      PMCID: PMC7826736          DOI: 10.3390/ijerph18020516

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  5 in total

1.  In the Subtropical Monsoon Climate High-Density City, What Features of the Neighborhood Environment Matter Most for Public Health?

Authors:  Wei Gao; Ruoxiang Tu; Hao Li; Yongli Fang; Qingmin Que
Journal:  Int J Environ Res Public Health       Date:  2020-12-21       Impact factor: 3.390

2.  Optimization of Preparation Conditions for Side-Emitting Polymer Optical Fibers Using Response Surface Methodology.

Authors:  Xianjin Hu; Kun Yang; Cheng Zhang
Journal:  Polymers (Basel)       Date:  2020-12-21       Impact factor: 4.329

3.  Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis.

Authors:  Jianhua Ni; Tianlu Qian; Changbai Xi; Yikang Rui; Jiechen Wang
Journal:  Int J Environ Res Public Health       Date:  2016-08-18       Impact factor: 3.390

4.  Impact of traffic variability on geographic accessibility to 24/7 emergency healthcare for the urban poor: A GIS study in Dhaka, Bangladesh.

Authors:  Shakil Ahmed; Alayne M Adams; Rubana Islam; Shaikh Mehdi Hasan; Rocco Panciera
Journal:  PLoS One       Date:  2019-09-16       Impact factor: 3.240

5.  Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing'an District in Shanghai, China.

Authors:  Min Cheng; Xiao Cui
Journal:  Int J Environ Res Public Health       Date:  2020-11-03       Impact factor: 3.390

  5 in total

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