Skip to main content

Study on changes of urban spatial pattern and heterogeneity of driving factors in the Su-Xi-Chang region

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.

This is a preview of subscription content, access via your institution.

Fig. 1

Source: Self-drawing)

Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  • Adams S, Klobodu E (2017) Urbanization, democracy, bureaucratic quality, and environmental degradation. J Policy Model 39:1035–1051

    Article  Google Scholar 

  • Bao C, Chen X (2014) Review and prospect of research on the spatial pattern of China’s urban system. Prog Geogr 33:1300–1311

    Google Scholar 

  • Bhatta B (2009) Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India. Int J Remote Sens 30:4733–4746

    Article  Google Scholar 

  • Brunsdon C, Fotheringham S, Charlton M (1998) Geographically weighted regression. J R Stat Soc Ser D (The Statistician) 47:431–443

    Article  Google Scholar 

  • Cao X, Xu J (2018) Spatial heterogeneity of county economic pattern and influencing factors in China’s provincial border areas. Acta Geogr Sin 73:1065–1075

    Google Scholar 

  • Chen C, Mei L, Liu J et al (2011) Evaluation and analysis of foreign urbanization studies. World Geogr Res 20:70–78

    Google Scholar 

  • Cui G, Wei Q, Chen Z (1999) Regional analysis and planning. Higher Education Press, Beijing

    Google Scholar 

  • Deng Y, Qi W, Fu B et al (2020) Geographical transformations of urban sprawl: exploring the spatial heterogeneity across cities in China 1992–2015. Cities 105:102415

    Article  Google Scholar 

  • Fan C, Tian L, Shen S et al (2018) Analysis on the evolution of landscape pattern of towns and green ecological space in the urban circle of Suzhou, Wuxi and Changzhou during 1990–2015. Modern Urban Res 11:13–19

    Google Scholar 

  • Fang Y, Xie M (2012) The effect of innovation elements agglomeration on regional innovation output—based on Chinese Provinces and Cities's ESDA-GWR Analysis [J]. Econ Geogr 9

  • Feng L, Li H (2012) Spatial pattern analysis of urban sprawl: case study of Jiangning, Nanjing, China. J Urban Plann Dev 138:263–269

    Article  Google Scholar 

  • Gao X, Ji Y, Fan J (2014) Identification method and case analysis of regional urban spatial pattern. Geogr Sci 34:1–9

    Google Scholar 

  • He Q, Xie B, Hu D et al (2009) Study on the innovation of administrative division of Changzhou City. Econ Geogr 29:225–230

    Google Scholar 

  • Herzig A, Nguyen TT, Ausseil AGE et al (2018) Assessing resource-use efficiency of land use. Environ Model Softw 107:34–49

    Article  Google Scholar 

  • Jin G, Deng X, Zhao X et al (2018) Spatial and temporal patterns of urbanization efficiency in the Yangtze River economic belt from 2005 to 2014. J Geogr Sci 28:1113–1126

    Article  Google Scholar 

  • Kahler M (2017) Regional challenges to global governance. Global Pol 8:97–100

    Article  Google Scholar 

  • Li M, Zhen F, Zhang H et al (2017a) Research and implementation of monitoring index system of urban spatial pattern in Jiangsu Province. Geogr Inf World 24:62–65

    Google Scholar 

  • Li C, Zhao J, Xu Y (2017b) Examining spatiotemporally varying effects of urban expansion and the underlying driving factors. Sustain Cities Soc 28:307–320

    Article  Google Scholar 

  • Li K, Liu T, Cao G (2018) The spatial pattern and driving forces of urbanization in Chinese provinces. Urban Dev Res 25:8–16

    Google Scholar 

  • Liang L, Zhao Q (2013) Analysis on regional differences and optimization path of urban land use efficiency in China: an Empirical Study Based on 287 cities above prefecture level. China Land Sci 27:48–54

    Google Scholar 

  • Liang C, Wang N (2014) Study on driving factors of construction land evolution in coastal economic zone based on logistic regression: a case study of Xinshi District in Dalian. Geogr Sci 34:556–561

    Google Scholar 

  • Liu H, Cai Y (2020) Spatial distribution pattern and evolution of population in capital economic circle based on ESDA. Mapp Spat Geogr Inf 43:15–20

    Google Scholar 

  • Liu Y, Deng X, Gan H (2005) Urban land use situation and optimization countermeasures in China. J Chongqing Jianzhu Univ 27:1–4

    Google Scholar 

  • Ma Y, Tong Y, Ren J (2018) Spatial-temporal pattern and driving factors of public participation in environmental regulation: taking the Yangtze River Economic Belt as an example. Chin Geogr Sci 38:1799–1808

    Google Scholar 

  • Olberding JC (2002) Diving into the “third waves” of regional governance and economic development strategies: a study of regional partnerships for economic development in US metropolitan areas. Econ Dev Q 16:251–272

    Article  Google Scholar 

  • Pu Y, Ge Y, Ma R et al (2005) Analyzing regional economic disparities based on ESDA. Geogr Res 24:965–974

    Google Scholar 

  • Wang H, Liu Y, Zhang B et al (2018) Driving force analysis of urban land expansion in Wuhan metropolitan area based on Logistic-GTWR model. Trans Chin Soc Agric Eng 34:248–257

    Google Scholar 

  • Wu L, Wu K and Zhao Y (2018) A study on the spatial pattern and mechanism of urbanization of county population in Jiangsu Province. Modern Urban Res 103–110

  • Xiong X, Xu Y (2018) Measurement of new urbanization level and dynamic factors in China. Quant Econ Tech Econ Res 35:44–63

    Google Scholar 

  • Xu Q, Zheng X, Zhang C (2018) Quantitative analysis of the determinants influencing urban expansion: a case study in Beijing. China Sustain 10:1630

    Article  Google Scholar 

  • Yang H, Hu Y, Wang Q (2015) Evaluation of land use efficiency in three major urban agglomerations of China in 2001–2012. Sci Geogr Sin 35:1095–1100

    Google Scholar 

  • Zeng J, Hu J (2015) Research on the impact factors of public environmental participation in China—an empirical analysis based on China’s Provincial Panel Data. China’s Popul Resour Environ 25:62–69

    Article  Google Scholar 

  • Zhang R, Jiao H (2015) Urban land use efficiency pattern evolution and driving mechanism in the Yangtze River Economic Belt. Resour Environ Yangtze Basin 24:387–394

    Google Scholar 

  • Zhang R, Li C, Li H (2019) Research on the heterogeneity of the urbanization efficiency pattern and driving factors in the Yangtze River Delta considering environmental effects. Econ Geogr 1–11

  • Zhou X, Tang Y, Li C et al (2019a) Thinking and methods for delimiting the development boundaries of provincial cities and towns in Guangdong. Planner 75–79

  • Zhou L, Che L and Sun D (2019b) Coupled development and influencing factors of China's urbanization and economic growth. Econ Geogr 1–15

Download references

Funding

This paper is supported by Humanity and Social Science Youth foundation of Ministry of Education of the People's Republic of China: “Research on the Influence on the urban pattern of coordinated development from Administrative Division Adjustment—Case Studies of the Suzhou, Wuxi & Changzhou area in China” (Funding No. 18YJC840038).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoxiao Wang.

Additional information

Handling Editor: Luiz Duczmal.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wang, X., Zhou, Y. Study on changes of urban spatial pattern and heterogeneity of driving factors in the Su-Xi-Chang region. Environ Ecol Stat 29, 339–357 (2022). https://doi.org/10.1007/s10651-021-00523-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10651-021-00523-2

Keywords

  • Driving factors
  • Spatial pattern
  • Urban development