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Analysis of the Dynamic Urban Expansion Based on Multi-Sourced Data from 1998 to 2013: A Case Study of Jiangsu Province

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  • Ge Shi

    (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210046, China
    School of Geographic Science, Nanjing Normal University, Nanjing 210046, China)

  • Nan Jiang

    (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210046, China
    School of Geographic Science, Nanjing Normal University, Nanjing 210046, China)

  • Yang Li

    (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210046, China
    School of Geographic Science, Nanjing Normal University, Nanjing 210046, China)

  • Bin He

    (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210046, China
    School of Geographic Science, Nanjing Normal University, Nanjing 210046, China)

Abstract

Recently, with the fast speed of urban expansion, research concerning the regulation of urban built-up area expansion is a significant topic, especially in Eastern China with its high urbanization level. The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) nighttime light data has a high association with the urban-rural distribution, which provides a new method to study urban expansion effectively and with relatively high accuracy. Between 1998 and 2013, China experienced a rapid economic development period, making it crucial to learn the patterns and driving forces to better manage urban master planning and sustainable development. The urban built-up area for the research years are mapped, and the annual urban expansion speed, urbanization intensity index, and built-up area gravity center are analyzed in this paper. The results will show that the amount of the urban built-up area grows continuously from 1998 to 2008, with the development focus in southern Jiangsu, while from 2008 to 2013, the development center moves to northern Jiangsu. The main driving forces behind this urban built-up area expansion are population growth and economic development.

Suggested Citation

  • Ge Shi & Nan Jiang & Yang Li & Bin He, 2018. "Analysis of the Dynamic Urban Expansion Based on Multi-Sourced Data from 1998 to 2013: A Case Study of Jiangsu Province," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3467-:d:172577
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    References listed on IDEAS

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    1. Eugenia Kalnay & Ming Cai, 2003. "Impact of urbanization and land-use change on climate," Nature, Nature, vol. 423(6939), pages 528-531, May.
    2. Zhang, Kevin Honglin & Song, Shunfeng, 2003. "Rural-urban migration and urbanization in China: Evidence from time-series and cross-section analyses," China Economic Review, Elsevier, vol. 14(4), pages 386-400.
    3. Raghuram G. Rajan & Luigi Zingales, 2001. "Financial Systems, Industrial Structure, and Growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(4), pages 467-482.
    4. Jun Li & Yuan Zhang & Qiming Qin & Yueguan Yan, 2017. "Investigating the Impact of Human Activity on Land Use/Cover Change in China’s Lijiang River Basin from the Perspective of Flow and Type of Population," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    5. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    6. Ge Shi & Nan Jiang & Lianqiu Yao, 2018. "Land Use and Cover Change during the Rapid Economic Growth Period from 1990 to 2010: A Case Study of Shanghai," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    7. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
    8. Qingxu Huang & Yang Yang & Yajing Li & Bin Gao, 2016. "A Simulation Study on the Urban Population of China Based on Nighttime Light Data Acquired from DMSP/OLS," Sustainability, MDPI, vol. 8(6), pages 1-13, May.
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    Cited by:

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    2. Junmei Kang & Lichun Sui & Xiaomei Yang & Yueming Liu & Zhihua Wang & Jun Wang & Fengshuo Yang & Bin Liu & Yuanzheng Ma, 2019. "Sea Surface-Visible Aquaculture Spatial-Temporal Distribution Remote Sensing: A Case Study in Liaoning Province, China from 2000 to 2018," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
    3. Yu Cao & Yucen Wang & Guoyu Li & Xiaoqian Fang, 2019. "Vegetation Response to Urban Landscape Spatial Pattern Change in the Yangtze River Delta, China," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    4. Ge Shi & Peng Ye & Liang Ding & Agustin Quinones & Yang Li & Nan Jiang, 2019. "Spatio-Temporal Patterns of Land Use and Cover Change from 1990 to 2010: A Case Study of Jiangsu Province, China," IJERPH, MDPI, vol. 16(6), pages 1-19, March.
    5. Ge Shi & Jie Shan & Liang Ding & Peng Ye & Yang Li & Nan Jiang, 2019. "Urban Road Network Expansion and Its Driving Variables: A Case Study of Nanjing City," IJERPH, MDPI, vol. 16(13), pages 1-16, June.
    6. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Xiaoli Zhao & Fang Liu & Shunguang Hu & Ling Yi & Jinyong Xu, 2021. "Spatial Evolution of Urban Expansion in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    7. Yangyang Gu & Xuning Qiao & Mengjia Xu & Changxin Zou & Dong Liu & Dan Wu & Yan Wang, 2019. "Assessing the Impacts of Urban Expansion on Bundles of Ecosystem Services by Dmsp-Ols Nighttime Light Data," Sustainability, MDPI, vol. 11(21), pages 1-17, October.

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