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Yang M, Qian Y, Li X, Ou Y, Zeng J. River valley urban network and morphology: A study on the urban morphology evolution of Lanzhou. PLoS One 2024; 19:e0302686. [PMID: 38805501 PMCID: PMC11132489 DOI: 10.1371/journal.pone.0302686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/09/2024] [Indexed: 05/30/2024] Open
Abstract
The present study investigates the dynamic evolution characteristics of urban spatial morphology by analyzing real road network data from 2000, 2010, and 2020, along with nighttime lighting data employing spatial analysis methods and spatial syntax models. Accordingly, two separate dimensions of urban morphology: internal and external, are covered. First, the integration and synergy of interior morphology features are analyzed using spatial syntactic modeling. Subsequently, the spatial compactness, fractal dimension, and level of center of gravity shift of the city are assessed by combining the nighttime lighting data with the earlier dataset. This analysis facilitated the deep exploration of the spatiotemporal evolution of the city's external morphology. Building upon this foundation, the interaction between the "internal and external" domains was analyzed further. The main findings of the study reveal a synchronous pattern of urban expansion throughout the evolution of urban spatial morphology. Furthermore, the urban form was observed to undergo a progressive transformation, transitioning from a "single core" morphology to a "primary and secondary double core" morphology. Over time, this development progressed and evolved into a "belt-like multi-core" structure. Additionally, the coupling characteristics further validate the relationship between the structure of the road network and the urban morphology in river valley-type cities. In particular, accessibility of dense and horizontally distributed transportation network was found to significantly influence the spatial development of these cities. As observed, the findings provides valuable insights into understanding the characteristics of internal and external associations regarding urban spatial patterns.
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Affiliation(s)
- Minan Yang
- School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
- School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou, China
| | - Yongsheng Qian
- School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
| | - Xin Li
- School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
| | - Yueqing Ou
- School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou, China
| | - Junwei Zeng
- School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, China
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Liu Y, Liu W, Zhang X, Lin Y, Zheng G, Zhao Z, Cheng H, Gross L, Li X, Wei B, Su F. Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China. URBAN CLIMATE 2023:101591. [PMID: 37362004 PMCID: PMC10284457 DOI: 10.1016/j.uclim.2023.101591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 05/02/2023] [Accepted: 06/18/2023] [Indexed: 06/28/2023]
Abstract
The outbreak of the coronavirus disease 2019 (COVID-19) epidemic has resulted in large threats and damage to society and the economy. In this study, we evaluate and verify the comprehensive resilience and spatiotemporal impact of the COVID-19 epidemic from January to June 2022 in mainland China based on multisource data. First, we adopt a combination of the mandatory determination method and the coefficient of variation method to determine the weight of the urban resilience assessment index. Furthermore, Beijing, Shanghai, and Tianjin were selected to verify the feasibility and accuracy of the resilience assessment results based on the nighttime light data. Finally, the epidemic situation was dynamically monitored and verified with population migration data. The results show that urban comprehensive resilience of mainland China is shown in the distribution pattern of higher resilience in the middle east and south and lower resilience in the northwest and northeast. Moreover, the average light intensity index is inversely proportional to the number of newly confirmed and treated cases of COVID-19 in the local area. This study provides a scientific reference to improve the comprehensive resilience of cities to achieve the goals of sustainable development (SDGs 11): make cities and human settlements resilient and sustainable.
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Affiliation(s)
- Yaohui Liu
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
- College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
- Institute of Geology, China Earthquake Administration, Beijing 100029, China
| | - Wenyi Liu
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
| | - Xinyu Zhang
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
| | - Yu Lin
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
| | - Guoqiang Zheng
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
| | - Zhan Zhao
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
| | - Hao Cheng
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
| | - Lutz Gross
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Xiaoli Li
- China Earthquake Networks Center, Beijing 100045, China
| | - Benyong Wei
- Institute of Geology, China Earthquake Administration, Beijing 100029, China
- Key Laboratory of Seismic and Volcanic Hazards, China Earthquake Administration, Beijing 100029, China
| | - Fei Su
- School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
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Kan C, Ma Q, Gong Z, Qi Y, Dang A. The Recovery of China's Industrial Parks in the First Wave of COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15035. [PMID: 36429754 PMCID: PMC9690449 DOI: 10.3390/ijerph192215035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/31/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Industrial parks are functional urban areas that carry the capacity to support highly concentrated production activities. The robustness and anti-interference ability of these areas are of great importance to maintaining economic vitality of a country. Focusing on the rate of production recovery (RPR), this paper examines the recovery of 436 major industrial parks in mainland China during the first wave of COVID-19. Leveraging spatio-temporal big data, we measured 14 attributes pertaining to industrial parks, covering four categories, namely spatial location, central city, park development, and public service. We focused on the spatial association and heterogeneity of the recovery patterns and identified the factors that truly affected the recovery of industrial parks with quantitative evaluation of their effects. The results reveal that: (1) RPR of industrial parks are significantly spatially clustered, with an obvious "cold spot" in the early outbreak area of Hubei Province and a prominent "center-periphery" pattern in developed areas, which is highly correlated with the spread of the epidemic. (2) The mechanisms driving the resumption of industrial parks are complex and versatile. All four categories in the variable matrix are related to RPR, including up to eight effective influencing factors. The effect of influencing factors is spatially heterogeneous, and its intensity varies significantly across regions. What is more interesting is that some impact factors show positive effects in some industrial parks while inhibiting the recovery in others. On the basis of the discussion of those findings with practical experiences, the planning and construction strategies of industrial park are suggested to mitigate the impact of similar external shocks.
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Affiliation(s)
- Changcheng Kan
- Baidu.com Times Technology (Beijing) Co., Ltd., Beijing 100085, China
| | - Qiwei Ma
- School of Architecture, Tsinghua University, Beijing 100084, China
| | - Zhaoya Gong
- School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
- Key Laboratory of Earth Surface System and Human-Earth Relations of Ministry of Natural Resources of China, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Yuanjing Qi
- School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
| | - Anrong Dang
- School of Architecture, Tsinghua University, Beijing 100084, China
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