Cargando…
Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration
The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecolo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320824/ https://www.ncbi.nlm.nih.gov/pubmed/35886243 http://dx.doi.org/10.3390/ijerph19148390 |
_version_ | 1784755886252621824 |
---|---|
author | Xu, Caiyao Qian, Chen Yang, Wencai Li, Bowei Kong, Lingqian Kong, Fanbin |
author_facet | Xu, Caiyao Qian, Chen Yang, Wencai Li, Bowei Kong, Lingqian Kong, Fanbin |
author_sort | Xu, Caiyao |
collection | PubMed |
description | The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to measure the URID level from 2000 to 2020 and further explored the driving mechanism of the URID changes by a geographical detector model in the Hangzhou Bay urban agglomeration (HBUA). The results showed that the land-use change in the HBUA from 2000 to 2020 showed a typical characteristic of the transition between cultivated and construction land. The URID level in the HBUA improved from 0.294 in 2000 to 0.563 in 2020, and the year 2005 may have been the inflection point of URID in the HBUA. The URID level showed a significant spatial aggregation with high values. Hangzhou, Jiaxing, and Ningbo were hot spots since 2015, and the cold spots were Huzhou and Shaoxing. The population and spatial integration had more important impacts on URID levels in 2000, 2005, and 2020, while economic and social integration had more significant impacts on URID levels in 2010 and 2015. This study provided a deeper understanding of the evolution of URID in an urban agglomeration and could be used as a reference for decision makers. |
format | Online Article Text |
id | pubmed-9320824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93208242022-07-27 Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration Xu, Caiyao Qian, Chen Yang, Wencai Li, Bowei Kong, Lingqian Kong, Fanbin Int J Environ Res Public Health Article The quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to measure the URID level from 2000 to 2020 and further explored the driving mechanism of the URID changes by a geographical detector model in the Hangzhou Bay urban agglomeration (HBUA). The results showed that the land-use change in the HBUA from 2000 to 2020 showed a typical characteristic of the transition between cultivated and construction land. The URID level in the HBUA improved from 0.294 in 2000 to 0.563 in 2020, and the year 2005 may have been the inflection point of URID in the HBUA. The URID level showed a significant spatial aggregation with high values. Hangzhou, Jiaxing, and Ningbo were hot spots since 2015, and the cold spots were Huzhou and Shaoxing. The population and spatial integration had more important impacts on URID levels in 2000, 2005, and 2020, while economic and social integration had more significant impacts on URID levels in 2010 and 2015. This study provided a deeper understanding of the evolution of URID in an urban agglomeration and could be used as a reference for decision makers. MDPI 2022-07-09 /pmc/articles/PMC9320824/ /pubmed/35886243 http://dx.doi.org/10.3390/ijerph19148390 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Caiyao Qian, Chen Yang, Wencai Li, Bowei Kong, Lingqian Kong, Fanbin Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title | Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title_full | Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title_fullStr | Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title_full_unstemmed | Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title_short | Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration |
title_sort | spatiotemporal pattern of urban-rural integration development and its driving mechanism analysis in hangzhou bay urban agglomeration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320824/ https://www.ncbi.nlm.nih.gov/pubmed/35886243 http://dx.doi.org/10.3390/ijerph19148390 |
work_keys_str_mv | AT xucaiyao spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration AT qianchen spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration AT yangwencai spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration AT libowei spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration AT konglingqian spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration AT kongfanbin spatiotemporalpatternofurbanruralintegrationdevelopmentanditsdrivingmechanismanalysisinhangzhoubayurbanagglomeration |