{"title":"Study on changes of urban spatial pattern and heterogeneity of driving factors in the Su-Xi-Chang region","authors":"Wang, Xiaoxiao, Zhou, Ying","doi":"10.1007/s10651-021-00523-2","DOIUrl":null,"url":null,"abstract":"<p>Using the Suzhou-Wuxi-Changzhou (referred to as Su-Xi-Chang) region as a case study, this work applied an Exploratory Spatial Data Analysis model to study the characteristics associated with the evolution in the urban spatial patterns in the region from 2002 to 2018. A geographical weighted regression model and Local indicator of spatial association Index are used to analyze the degrees of influence that different driving factors have on urban spatial patterns in the Su-Xi-Chang region. Two major points emerged from the results. First, the urban development of the Su-Xi-Chang metropolitan area has a relatively concentrated spatial distribution. When considering the local spatial correlation, there is a relatively large proportion of areas with H–H correlation and L–H correlation. The H–H correlation area is mainly concentrated in the central urban area of Suzhou and Wuxi, and Kunshan, which connects Suzhou and Shanghai. This forms a spatial concentration area with high urban development levels. The L–H correlation area is mainly concentrated in cities such as Yixing and Changshu. After the central city developed to a certain stage in 2010, the spatial agglomeration of small and medium-sized cities that lagged in size became more clear. The L–L agglomeration area is mainly concentrated in Liyang and Jintan, with a widening development gap from surrounding cities and counties. This has led to a development trend of marginalization. Second, the urbanization rate index had a weak driving effect on the evolution and development of urban spatial pattern.</p>","PeriodicalId":50519,"journal":{"name":"Environmental and Ecological Statistics","volume":"1 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Ecological Statistics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10651-021-00523-2","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
Using the Suzhou-Wuxi-Changzhou (referred to as Su-Xi-Chang) region as a case study, this work applied an Exploratory Spatial Data Analysis model to study the characteristics associated with the evolution in the urban spatial patterns in the region from 2002 to 2018. A geographical weighted regression model and Local indicator of spatial association Index are used to analyze the degrees of influence that different driving factors have on urban spatial patterns in the Su-Xi-Chang region. Two major points emerged from the results. First, the urban development of the Su-Xi-Chang metropolitan area has a relatively concentrated spatial distribution. When considering the local spatial correlation, there is a relatively large proportion of areas with H–H correlation and L–H correlation. The H–H correlation area is mainly concentrated in the central urban area of Suzhou and Wuxi, and Kunshan, which connects Suzhou and Shanghai. This forms a spatial concentration area with high urban development levels. The L–H correlation area is mainly concentrated in cities such as Yixing and Changshu. After the central city developed to a certain stage in 2010, the spatial agglomeration of small and medium-sized cities that lagged in size became more clear. The L–L agglomeration area is mainly concentrated in Liyang and Jintan, with a widening development gap from surrounding cities and counties. This has led to a development trend of marginalization. Second, the urbanization rate index had a weak driving effect on the evolution and development of urban spatial pattern.
期刊介绍:
Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues.
Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics.
Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.