IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i8p1394-d107337.html
   My bibliography  Save this article

Planning Resilient and Sustainable Cities: Identifying and Targeting Social Vulnerability to Climate Change

Author

Listed:
  • Yi Ge

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

  • Wen Dou

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

  • Ning Liu

    (School of Chemistry and Life Science, Jinling College, Nanjing University, Nanjing 210093, China)

Abstract

This research offers a new framework for assessing social vulnerability to climate change. A social vulnerability assessment trial was carried out for Chinese coastal cities at the county level. First, the 10 factors having the most influence on social vulnerability were identified. They are “House with no lavatory”, “House with no bath facilities”, “Employees in primary industry”, “Houses with no tap water”, “GDP in primary sector”, “Children”, “House with no kitchen”, “Rate of natural increase (RNI), “Employees in management sector”, and “Highly educated”. Second, indexes of social vulnerability, exposure, sensitivity, and adaptability were evaluated and mapped to examine their spatial pattern. The results demonstrate that the distribution of exposure index (EI) is similar to that of social vulnerability index (SVI): many counties are categorized at the medium level while a few counties belong to the high or low categories. The distribution of adaptability proves that it should be paid more attention, as 30.14% of its counties belong to the lowest level. After calculating the Getis-Ord Gi* statistic of SVI, two cold spots and two hot spots are identified. Third, the relationship between urban development and social vulnerability are discussed. During urbanization, there are evident differences of SVI between urban and rural areas. Urbanization can help city districts reduce social vulnerability, while creating more social vulnerability in the coastal counties. For the districts, more adjustment strategies and work should be applied in the dimension of exposure during urbanization. For the counties, the prominent problem to be faced is an increase in sensitivity.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:8:p:1394-:d:107337
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/8/1394/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/8/1394/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pramod Singh & Abhishek Nair, 2014. "Livelihood vulnerability assessment to climate variability and change using fuzzy cognitive mapping approach," Climatic Change, Springer, vol. 127(3), pages 475-491, December.
    2. Nathan Wood & Christopher Burton & Susan Cutter, 2010. "Community variations in social vulnerability to Cascadia-related tsunamis in the U.S. Pacific Northwest," 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. 52(2), pages 369-389, February.
    3. 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.
    4. Eno Amos & Uduak Akpan & Kehinde Ogunjobi, 2015. "Households’ perception and livelihood vulnerability to climate change in a coastal area of Akwa Ibom State, Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(4), pages 887-908, August.
    5. John Tzilivakis & D. Warner & A. Green & K. Lewis, 2015. "Adapting to climate change: assessing the vulnerability of ecosystem services in Europe in the context of rural development," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(4), pages 547-572, April.
    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. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," 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. 64(2), pages 1575-1586, November.
    9. Luni Piya & Niraj Prakash Joshi & Keshav Lall Maharjan, 2016. "Vulnerability of Chepang households to climate change and extremes in the Mid-Hills of Nepal," Climatic Change, Springer, vol. 135(3), pages 521-537, April.
    10. Sanne Muis & Martin Verlaan & Hessel C. Winsemius & Jeroen C. J. H. Aerts & Philip J. Ward, 2016. "A global reanalysis of storm surges and extreme sea levels," Nature Communications, Nature, vol. 7(1), pages 1-12, September.
    11. Frigerio, Ivan & De Amicis, Mattia, 2016. "Mapping social vulnerability to natural hazards in Italy: A suitable tool for risk mitigation strategies," Environmental Science & Policy, Elsevier, vol. 63(C), pages 187-196.
    12. 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.
    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 3.
    14. 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.
    15. Robert Dixon & Joel Smith & Sandra Guill, 2003. "Life on the Edge: Vulnerability and Adaptation of African Ecosystems to Global Climate Change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 8(2), pages 93-113, June.
    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 4.
    17. Alejandro Monterroso & Cecilia Conde & Carlos Gay & David Gómez & José López, 2014. "Two methods to assess vulnerability to climate change in the Mexican agricultural sector," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 19(4), pages 445-461, April.
    18. Sabrina McCormick, 2016. "Assessing climate change vulnerability in urban America: stakeholder-driven approaches," Climatic Change, Springer, vol. 138(3), pages 397-410, October.
    19. Matthias Garschagen & Patricia Romero-Lankao, 2015. "Exploring the relationships between urbanization trends and climate change vulnerability," Climatic Change, Springer, vol. 133(1), pages 37-52, November.
    20. 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.
    21. 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.
    22. Trisha L. Moore & John S. Gulliver & Latham Stack & Michael H. Simpson, 2016. "Stormwater management and climate change: vulnerability and capacity for adaptation in urban and suburban contexts," Climatic Change, Springer, vol. 138(3), pages 491-504, October.
    23. Rajiv Pandey & ShashidharKumar Jha, 2012. "Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya, India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(5), pages 487-506, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giannetti, Biagio F. & Sevegnani, Fábio & Almeida, Cecília M.V.B. & Agostinho, Feni & Moreno García, Roberto R. & Liu, Gengyuan, 2019. "Five sector sustainability model: A proposal for assessing sustainability of production systems," Ecological Modelling, Elsevier, vol. 406(C), pages 98-108.
    2. Yi Chen & Zhicong Ye & Hui Liu & Ruishan Chen & Zhenhuan Liu & Hui Liu, 2021. "A GIS-Based Approach for Flood Risk Zoning by Combining Social Vulnerability and Flood Susceptibility: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    3. Soumya Dasgupta & Ruchi Badola, 2020. "Indicator-Based Assessment of Resilience and Vulnerability in the Indian Himalayan Region: A Case Study on Socio-Economy under Different Scenarios," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    4. Yi Ge & Wen Dou & Jianping Dai, 2017. "A New Approach to Identify Social Vulnerability to Climate Change in the Yangtze River Delta," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    5. 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.
    6. Mohammad Ilbeigi & Sarath Chandra K. Jagupilla, 2020. "An Empirical Analysis of Association between Socioeconomic Factors and Communities’ Exposure to Natural Hazards," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    7. Anthony McCosker & Anne Matan & Dora Marinova, 2018. "Policies, Politics, and Paradigms: Healthy Planning in Australian Local Government," Sustainability, MDPI, vol. 10(4), pages 1-25, March.
    8. Timothy Sim & Dongming Wang & Ziqiang Han, 2018. "Assessing the Disaster Resilience of Megacities: The Case of Hong Kong," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    9. Xuchao Yang & Lin Lin & Yizhe Zhang & Tingting Ye & Qian Chen & Cheng Jin & Guanqiong Ye, 2019. "Spatially Explicit Assessment of Social Vulnerability in Coastal China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    10. Marina B. Martínez-González & Celene B. Milanes & Jorge Moreno-Gómez & Samuel Padilla-Llano & Alex Vásquez & Allan Lavell & Ana Saltarín-Jiménez & Andrés Suárez, 2021. "Understanding Social and Environmental Hazards in Urban Areas: An Analysis from Barranquilla, Colombia," Social Sciences, MDPI, vol. 10(11), pages 1-12, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Kritana Prueksakorn & Cheng-Xu Piao & Hyunchul Ha & Taehyeung Kim, 2015. "Computational and Experimental Investigation for an Optimal Design of Industrial Windows to Allow Natural Ventilation during Wind-Driven Rain," Sustainability, MDPI, vol. 7(8), pages 1-22, August.
    3. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
    4. Stephan E. Maurer & Andrei V. Potlogea, 2021. "Male‐biased Demand Shocks and Women's Labour Force Participation: Evidence from Large Oil Field Discoveries," Economica, London School of Economics and Political Science, vol. 88(349), pages 167-188, January.
    5. Tie Hua Zhou & Ling Wang & Keun Ho Ryu, 2015. "Supporting Keyword Search for Image Retrieval with Integration of Probabilistic Annotation," Sustainability, MDPI, vol. 7(5), pages 1-18, May.
    6. T. Karski, 2019. "Opinions and Controversies in Problem of The So-Called Idiopathic Scoliosis. Information About Etiology, New Classification and New Therapy," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 12(5), pages 9612-9616, January.
    7. Sung-Won Park & Sung-Yong Son, 2017. "Cost Analysis for a Hybrid Advanced Metering Infrastructure in Korea," Energies, MDPI, vol. 10(9), pages 1-18, September.
    8. Wesley Mendes-da-Silva, 2020. "What Makes an Article be More Cited?," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 24(6), pages 507-513.
    9. Martin Valtierra-Rodriguez & Juan Pablo Amezquita-Sanchez & Arturo Garcia-Perez & David Camarena-Martinez, 2019. "Complete Ensemble Empirical Mode Decomposition on FPGA for Condition Monitoring of Broken Bars in Induction Motors," Mathematics, MDPI, vol. 7(9), pages 1-19, August.
    10. Akca Yasar & Gokhan Ozer, 2016. "Determination the Factors that Affect the Use of Enterprise Resource Planning Information System through Technology Acceptance Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(10), pages 1-91, September.
    11. Julián Miranda & Angélica Flórez & Gustavo Ospina & Ciro Gamboa & Carlos Flórez & Miguel Altuve, 2020. "Proposal for a System Model for Offline Seismic Event Detection in Colombia," Future Internet, MDPI, vol. 12(12), pages 1-17, December.
    12. Wisdom Akpalu & Mintewab Bezabih, 2015. "Tenure Insecurity, Climate Variability and Renting out Decisions among Female Small-Holder Farmers in Ethiopia," Sustainability, MDPI, vol. 7(6), pages 1-16, June.
    13. Wei Chen & Shu-Yu Liu & Chih-Han Chen & Yi-Shan Lee, 2011. "Bounded Memory, Inertia, Sampling and Weighting Model for Market Entry Games," Games, MDPI, vol. 2(1), pages 1-13, March.
    14. David Harborth & Sebastian Pape, 2020. "Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias," Future Internet, MDPI, vol. 12(12), pages 1-16, December.
    15. Ping Wang & Jie Wang & Guiwu Wei & Cun Wei, 2019. "Similarity Measures of q-Rung Orthopair Fuzzy Sets Based on Cosine Function and Their Applications," Mathematics, MDPI, vol. 7(4), pages 1-23, April.
    16. Peterson, Willis L., 1973. "Publication Productivities Of U.S. Economics Department Graduates," Staff Papers 14105, University of Minnesota, Department of Applied Economics.
    17. Taeyeoun Roh & Yujin Jeong & Byungun Yoon, 2017. "Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    18. He-Yau Kang & Amy H. I. Lee & Tzu-Ting Huang, 2016. "Project Management for a Wind Turbine Construction by Applying Fuzzy Multiple Objective Linear Programming Models," Energies, MDPI, vol. 9(12), pages 1-15, December.
    19. Vasilyeva, Olga, 2021. "Agro-food clusters in the Republic of Kazakhstan: assessment and prospects of development," Economic Consultant, Roman I. Ostapenko, vol. 34(2), pages 13-20.
    20. Chris Lytridis & Anna Lekova & Christos Bazinas & Michail Manios & Vassilis G. Kaburlasos, 2020. "WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications," Mathematics, MDPI, vol. 8(3), pages 1-14, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:8:p:1394-:d:107337. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.