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A New Framework for Understanding Urban Social Vulnerability from a Network Perspective

Author

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  • Yi Ge

    (State Key Laboratory of Pollution Control & Resource Re-use, School of the Environment, Nanjing University, Nanjing 210093, China)

  • Wen Dou

    (School of Transportation, Southeast University, Nanjing 210018, China)

  • Haibo Zhang

    (School of Government, Center for Risk, Disaster & Crisis Research, Nanjing University, Nanjing 210093, China)

Abstract

Rapid urbanization in China has strengthened the connection and cooperation among cities and has also led urban residents to be more vulnerable in adverse environmental conditions. Vulnerability research has been an important foundation in urban risk management. To make cities safe and resilient, it is also necessary to integrate the connection among cities into a vulnerability assessment. Therefore, this paper proposed a new conceptual framework for urban social vulnerability assessment based on network theory, where a new dimension of social vulnerability (connectivity) was added into the framework. Using attribute data, the traditional social vulnerability index of a city ( SVI node ) was calculated via the projection pursuit cluster (PPC) model. With the relational data retrieved from the Baidu search index, a new dimension (connectivity) of social vulnerability ( SVI connectivity ) was evaluated. Finally, an integrated social vulnerability index ( SVI urban ) was measured combined with SVI node and SVI connectivity . This method was applied in the Yangtze River Delta region of China, where the top three high values of SVI node belonged to the cities of Taizhou (Z), Jiaxing, and Huzhou. The three lowest cities were Hangzhou, Nanjing, and Shanghai. For SVI urban , the social vulnerability of cities in different hierarchies behaved differently. For Hierarchies 2 and 3, when compared to SVI node , the SVI urban was significantly reduced. However, the variation between SVI node and SVI urban in Hierarchy 4 was slight. Furthermore, an increase for the city of Taizhou (J) in its social vulnerability was achieved after connecting to the network. Huzhou, in Hierarchy 5, increased its social vulnerability the most when adding connectivity in the social vulnerability assessment. Based on the results of our case study, a conclusion was drawn that network connectivity had an influence on social vulnerability. However, when connectivity was strong enough, it could help cities to mitigate their traditional social vulnerability, whereas a loose connection in the network aggregated their traditional social vulnerability. Hence, the latter should be emphasized in future urban risk management.

Suggested Citation

  • Yi Ge & Wen Dou & Haibo Zhang, 2017. "A New Framework for Understanding Urban Social Vulnerability from a Network Perspective," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1723-:d:113214
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    1. Yung-Jaan Lee & Shih-Chien Lin & Chiao-Chi Chen, 2016. "Mapping Cross-Boundary Climate Change Vulnerability—Case Study of the Hualien and Taitung Area, Taiwan," Sustainability, MDPI, vol. 8(1), pages 1-17, January.
    2. Xibao Xu & Yan Tan & Shuang Chen & Guishan Yang & Weizhong Su, 2015. "Urban Household Carbon Emission and Contributing Factors in the Yangtze River Delta, China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    5. J. Birkmann & O. Cardona & M. Carreño & A. Barbat & M. Pelling & S. Schneiderbauer & S. Kienberger & M. Keiler & D. Alexander & P. Zeil & T. Welle, 2013. "Framing vulnerability, risk and societal responses: the MOVE framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 193-211, June.
    6. Yi Ge & Haibo Zhang & Wen Dou & Wenfang Chen & Ning Liu & Yuan Wang & Yulin Shi & Wenxin Rao, 2017. "Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China," Sustainability, MDPI, vol. 9(1), pages 1-15, January.
    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    9. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    10. Yi Ge & Wen Dou & Ning Liu, 2017. "Planning Resilient and Sustainable Cities: Identifying and Targeting Social Vulnerability to Climate Change," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    11. Marco Keiner & Arley Kim, 2006. "Transnational City Networks for Sustainability," European Planning Studies, Taylor & Francis Journals, vol. 15(10), pages 1369-1395, December.
    12. Sarah Stafford & Jeremy Abramowitz, 2017. "An analysis of methods for identifying social vulnerability to climate change and sea level rise: a case study of Hampton Roads, Virginia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1089-1117, January.
    13. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    14. Marianne Jahre & Nathalie Fabbe-Costes, 2005. "Adaptation and adaptability in logistics networks," Post-Print hal-01421238, HAL.
    15. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    16. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
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