Academic Journal

Identification of Key Determinants Influencing Spatiotemporal Heterogeneity of Urban Resilience

التفاصيل البيبلوغرافية
العنوان: Identification of Key Determinants Influencing Spatiotemporal Heterogeneity of Urban Resilience
المؤلفون: Jingwei Hou, Bo Hou, Gongpeng He
المصدر: ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 384 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Geography (General)
مصطلحات موضوعية: key determinant, spatiotemporal heterogeneity, urban resilience, Theil index, geodetector, Geography (General), G1-922
الوصف: The identification of spatiotemporal heterogeneity, its key determinants, and the interaction effects between the driving factors of urban resilience (UR) within and between subregions is fundamental for understanding its underlying mechanisms. A resilience evaluation model was applied to analyze the temporal and spatial differences in UR in Hunan Province, China. A hot spot analysis identified clusters of cold and hot spots. The contributions of spatiotemporal differences in UR within and between subregions were assessed using the Theil index. A geodetector analysis determined the factors influencing UR and their interactions. There was an increasing trend in UR from 0.2692 in 2014 to 0.3422 in 2022. The number of cities with a high resilience gradually increased from 2014 to 2022, while there was a decreasing gradient in UR from northeast to southwest across the province. High-resilience cities had positive spillover effects on the surrounding area. Hot spots were predominantly located in the northeast, while cold spots were concentrated in the southwest. The barycenter of UR shifted from northeast to southwest by 2018, before moving southeast by 2022. The Theil index values declined over time both within and between subregions. Per capita GDP, the average wages of on-the-job employees, per capita social consumption, and doctor density were found to enhance UR. Two-factor interactions had a greater influence on the spatiotemporal heterogeneity of UR than single factors. Two-factor and nonlinear enhancements were identified as the primary mode of influence.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2220-9964
Relation: https://www.mdpi.com/2220-9964/13/11/384; https://doaj.org/toc/2220-9964
DOI: 10.3390/ijgi13110384
URL الوصول: https://doaj.org/article/6141a0ad74d24aab882991e40e002a4d
رقم الانضمام: edsdoj.6141a0ad74d24aab882991e40e002a4d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22209964
DOI:10.3390/ijgi13110384