Literature DB >> 30593608

Drivers of urban expansion over the past three decades: a comparative study of Beijing, Tianjin, and Shijiazhuang.

Wenjia Wu1, Shuqing Zhao2, Geoffrey M Henebry3.   

Abstract

Urban expansion is influenced by various natural and anthropogenic factors. Understanding the driving forces of urban expansion is crucial for modeling the process of urban expansion as well as guiding urban planning and management. Here, we quantified and compared the effects of natural, socioeconomic, and neighboring factors on urban expansion and their temporal dynamics in three large cities in the Jing-Jin-Ji Urban Agglomeration: Beijing, Tianjin, and Shijiazhuang. We used remote sensing imagery from six epochs (circa 1980, 1990, 1995, 2000, 2005, and 2010) integrated with GIS techniques and analyzed using binary logistic regression. The relative importance of the three types of driving forces was further decomposed using variance partitioning. We found that the direction and/or magnitude of effects on the drivers of urban expansion varied with both epoch and city. Natural factors placed significant constraints at early stages of urban expansion, but this constraint relaxed over time. As precursor drivers of urbanization, socioeconomic factors significantly influenced urban growth in most epochs for each city. Non-urban lands near existing urban areas were more likely to be urbanized, due to easier access to existing transportation infrastructure and other facility resources. Furthermore, with urbanization, individual effects of drivers tended to be replaced by joint effects, especially for the neighboring factors. Similarities and differences in the individual and joint effects of drivers on urban expansion across cities and through time will provide valuable information for adaptive urban development strategies in the national capital region of China.

Keywords:  Driving forces; Jing-Jin-Ji Urban Agglomeration; Logistic regression; Remote sensing; Urban expansion; Variance partitioning

Mesh:

Year:  2018        PMID: 30593608     DOI: 10.1007/s10661-018-7151-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Exploring Variability in Landscape Ecological Risk and Quantifying Its Driving Factors in the Amu Darya Delta.

Authors:  Tao Yu; Anming Bao; Wenqiang Xu; Hao Guo; Liangliang Jiang; Guoxiong Zheng; Ye Yuan; Vincent Nzabarinda
Journal:  Int J Environ Res Public Health       Date:  2019-12-20       Impact factor: 3.390

  1 in total

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