Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy.

POIs’ spatial entropy coupling coordination degree taxis’ temporal entropy urbanization development level

Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
31 12 2020
Historique:
received: 03 11 2020
revised: 09 12 2020
accepted: 18 12 2020
entrez: 5 1 2021
pubmed: 6 1 2021
medline: 23 2 2021
Statut: epublish

Résumé

With the rapid development of urbanization, the blind expansion of urban space has led to a series of social problems. In this process, the degree of urban function mixing affects the urbanization development level, making it particularly important to study the degree of coupling coordination between the two aspects. In this paper, taking Beijing as an example, we use urban point of interest (POI) data and taxi GPS trajectory data to calculate the urban POIs' spatial entropy and taxis' temporal entropy, based on the information entropy. We use the POIs' spatial entropy and taxis' temporal entropy to measure the urban function mixing degree. Also, the model of coupling coordination degree is used to measure the degree of coupling coordination between the urban function mixing degree and the urbanization development level. The results indicate the following: First, the POIs' spatial entropy and taxis' temporal entropy have significant regional imbalances. On the whole, both show a declining pattern when moving from the central urban area to the outer suburbs. The urban function mixing degree and urbanization development level are also higher in the central urban area than in the outer suburbs. Second, the coupling coordination among the urbanization development level, POIs' spatial entropy, and taxis' temporal entropy is distributed unevenly across various regions, which means that the three types of coupling coordination are in balanced development in the central urban area, but in unbalanced development in the outer suburbs. Third, from the perspective of spatial correlation characteristics, the higher is the degree of spatial agglomeration, the higher are the urban function mixing degree and urbanization development level, and the higher is the coupling coordination degree among the urbanization development level, POIs' spatial entropy, and taxis' temporal entropy. Therefore, relevant departments should plan the construction of urban functional areas reasonably, according to the degree of coupling coordination between the urban function mixing degree and the urbanization development level in different regions, so as to realize the healthy and sustainable development of a city.

Identifiants

pubmed: 33396250
pii: ijerph18010242
doi: 10.3390/ijerph18010242
pmc: PMC7794718
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Références

PLoS One. 2019 Apr 29;14(4):e0215656
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Ying Yong Sheng Tai Xue Bao. 2016 Oct;27(10):3335-3343
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PLoS One. 2018 Jun 18;13(6):e0198491
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Int J Environ Res Public Health. 2020 Jun 29;17(13):
pubmed: 32610498
Int J Environ Res Public Health. 2019 Nov 28;16(23):
pubmed: 31795105
Am J Prev Med. 2004 Aug;27(2):87-96
pubmed: 15261894

Auteurs

Xuanxuan Xia (X)

School of Business, Shandong Normal University, Jinan 250358, China.
School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.

Kexin Lin (K)

School of Business, Shandong Normal University, Jinan 250358, China.

Yang Ding (Y)

School of Business, Shandong Normal University, Jinan 250358, China.

Xianlei Dong (X)

School of Business, Shandong Normal University, Jinan 250358, China.

Huijun Sun (H)

Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China.

Beibei Hu (B)

School of Business, Shandong Normal University, Jinan 250358, China.

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Classifications MeSH