Quality Evaluation and Spatial Differentiation of Rural Human Settlements: A Case Study of Sichuan Province, China

Lie Zhang

2022

Abstract

Taking Sichuan Province as a typical case, this paper constructs an evaluation index system of rural human settlements quality in terms of infrastructure, public services and ecological environment, and uses GIS spatial analysis technology, entropy power method and hierarchical analysis method to measure and spatially analyze the rural human settlements quality. The main conclusions are as follows: the quality of rural human settlements in Sichuan Province can be divided into four types, with an overall ’multilevel core-edge’ dispersion pattern and obvious differences among cities and states. Rural human settlements are a complex system, and their quality is closely related to the natural, social and economic conditions of regional development. The rural human settlements should be improved by establishing a governance model based on ’core-edge’ circle radiation.

Paper Citation

in Harvard Style

Zhang L. (2022). Quality Evaluation and Spatial Differentiation of Rural Human Settlements: A Case Study of Sichuan Province, China. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 114-119. DOI: 10.5220/0012070800003624

in Bibtex Style

@conference{pmbda22,
author={Lie Zhang},
title={Quality Evaluation and Spatial Differentiation of Rural Human Settlements: A Case Study of Sichuan Province, China},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={114-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012070800003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Quality Evaluation and Spatial Differentiation of Rural Human Settlements: A Case Study of Sichuan Province, China
SN - 978-989-758-658-3
AU - Zhang L.
PY - 2022
SP - 114
EP - 119
DO - 10.5220/0012070800003624
PB - SciTePress