IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p5075-d267896.html
   My bibliography  Save this article

Spatially Explicit Assessment of Social Vulnerability in Coastal China

Author

Listed:
  • Xuchao Yang

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Lin Lin

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Yizhe Zhang

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China)

  • Tingting Ye

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Qian Chen

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Cheng Jin

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

  • Guanqiong Ye

    (Ocean College, Zhejiang University, Zhoushan 316021, China)

Abstract

Social vulnerability assessment has been recognized as a reliable and effective measure for informing coastal hazard management. Although significant advances have been made in the study of social vulnerability for over two decades, China’s social vulnerability profiles are mainly based on administrative unit. Consequently, no detailed distribution is provided, and the capability to diagnose human risks is hindered. In this study, we established a social vulnerability index (SoVI) in 2000 and 2010 at a spatial resolution of 250 m for China’s coastal zone by combining the potential exposure index (PEI) and social resilience index (SRI). The PEI with a 250 m resolution was obtained by fitting the census data and multisource remote sensing data in random forest model. The county-level SRI was evaluated through principal component analysis based on 33 socioeconomic variables. For identifying the spatiotemporal change, we used global and local Moran’s I to map clusters of SoVI and its percent change in the decade. The results suggest the following: (1) Counties in the Yangtze River Delta, Pearl River Delta, and eastern Guangzhou, except several small hot spots, exhibited the most vulnerability, especially in urban areas, whereas those in Hainan and southern Liaoning presented the least vulnerability. (2) Notable increases were emphasized in Tianjin, Yangtze River Delta, and Pearl River Delta. The spatiotemporal variation and heterogeneity in social vulnerability obtained through this analysis will provide a scientific basis to decision-makers to focus risk mitigation effort.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5075-:d:267896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/5075/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/18/5075/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manik Mahapatra & Ratheesh Ramakrishnan & A. Rajawat, 2015. "Coastal vulnerability assessment using analytical hierarchical process for South Gujarat coast, India," 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. 76(1), pages 139-159, March.
    2. Christopher G. Burton, 2015. "A Validation of Metrics for Community Resilience to Natural Hazards and Disasters Using the Recovery from Hurricane Katrina as a Case Study," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(1), pages 67-86, January.
    3. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Peijun Shi, 2014. "Local Spatial and Temporal Factors Influencing Population and Societal Vulnerability to Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(4), pages 614-639, April.
    4. David King, 2001. "Uses and Limitations of Socioeconomic Indicators of Community Vulnerability to Natural Hazards: Data and Disasters in Northern Australia," 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. 24(2), pages 147-156, September.
    5. Samuel Rufat & Eric Tate & Christopher T. Emrich & Federico Antolini, 2019. "How Valid Are Social Vulnerability Models?," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(4), pages 1131-1153, July.
    6. Neil Adger, W., 1999. "Social Vulnerability to Climate Change and Extremes in Coastal Vietnam," World Development, Elsevier, vol. 27(2), pages 249-269, February.
    7. J. Keith Ord & Arthur Getis, 2001. "Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 411-432, August.
    8. Nguyen, Loc Duc & Raabe, Katharina & Grote, Ulrike, 2015. "Rural–Urban Migration, Household Vulnerability, and Welfare in Vietnam," World Development, Elsevier, vol. 71(C), pages 79-93.
    9. Arief Anshory Yusuf & Herminia Francisco, 2009. "Climate Change Vulnerability Mapping for Southeast Asia," EEPSEA Special and Technical Paper tp200901s1, Economy and Environment Program for Southeast Asia (EEPSEA), revised Jan 2009.
    10. 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.
    11. N. Sudha Rani & A. Satyanarayana & Prasad Bhaskaran, 2015. "Coastal vulnerability assessment studies over India: a review," 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. 77(1), pages 405-428, May.
    12. 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.
    13. Jan-Ludolf Merkens & Athanasios T. Vafeidis, 2018. "Using Information on Settlement Patterns to Improve the Spatial Distribution of Population in Coastal Impact Assessments," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    14. 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.
    15. Barbara Neumann & Athanasios T Vafeidis & Juliane Zimmermann & Robert J Nicholls, 2015. "Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-34, March.
    16. Robin Leichenko & Karen O'Brien, 2002. "The Dynamics of Rural Vulnerability to Global Change: The Case of southern Africa," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(1), pages 1-18, March.
    17. Kathleen Sherrieb & Fran Norris & Sandro Galea, 2010. "Measuring Capacities for Community Resilience," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 227-247, November.
    18. José Manuel de Oliveira Mendes, 2009. "Social vulnerability indexes as planning tools: beyond the preparedness paradigm," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 43-58, January.
    19. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    20. Cuong Viet Nguyen & Ralph Horne & John Fien & France Cheong, 2017. "Assessment of social vulnerability to climate change at the local scale: development and application of a Social Vulnerability Index," Climatic Change, Springer, vol. 143(3), pages 355-370, August.
    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. Chunyu Li & Rong Cai & Wei Tian & Junna Yuan & Xiaofei Mi, 2023. "Land Cover Classification by Gaofen Satellite Images Based on CART Algorithm in Yuli County, Xinjiang, China," Sustainability, MDPI, vol. 15(3), pages 1-18, January.

    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. Glwadys A. Gbetibouo & Claudia Ringler & Rashid Hassan, 2010. "Vulnerability of the South African farming sector to climate change and variability: An indicator approach," Natural Resources Forum, Blackwell Publishing, vol. 34(3), pages 175-187, August.
    2. Christopher G. Burton & Miguel Toquica & Khan Mortuza Bin Asad & Michael Musori, 2022. "Validation and development of composite indices for measuring vulnerability to earthquakes using a socio-economic perspective," 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. 111(2), pages 1301-1334, March.
    3. Jae Heon Shim & Chun-Il Kim, 2015. "Measuring Resilience to Natural Hazards: Towards Sustainable Hazard Mitigation," Sustainability, MDPI, vol. 7(10), pages 1-33, October.
    4. Kelly Bergstrand & Brian Mayer & Babette Brumback & Yi Zhang, 2015. "Assessing the Relationship Between Social Vulnerability and Community Resilience to Hazards," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 391-409, June.
    5. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," 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. 75(3), pages 2221-2245, February.
    6. D. J. Roncancio & A. C. Nardocci, 2016. "Social vulnerability to natural hazards in São Paulo, Brazil," 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. 84(2), pages 1367-1383, November.
    7. Sarah L. Jackson & Sahar Derakhshan & Leah Blackwood & Logan Lee & Qian Huang & Margot Habets & Susan L. Cutter, 2021. "Spatial Disparities of COVID-19 Cases and Fatalities in United States Counties," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    8. 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.
    9. Sahoo, Dibakar & Sridevi, G, 2021. "Social vulnerability and adaptation to climate change: evidence from vulnerable farmers’ groups in Odisha, India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 34(Conferenc), October.
    10. Yi Ge & Wen Dou & Xiaotao Wang & Yi Chen & Ziyuan Zhang, 2021. "Identifying urban–rural differences in social vulnerability to natural hazards: a case study of China," 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. 108(3), pages 2629-2651, September.
    11. Ognjen Žurovec & Sabrija Čadro & Bishal Kumar Sitaula, 2017. "Quantitative Assessment of Vulnerability to Climate Change in Rural Municipalities of Bosnia and Herzegovina," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    12. Cibele Oliveira Lima & Jarbas Bonetti, 2020. "Bibliometric analysis of the scientific production on coastal communities’ social vulnerability to climate change and to the impact of extreme events," 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. 102(3), pages 1589-1610, July.
    13. Nicolás C. Bronfman & Paula B. Repetto & Nikole Guerrero & Javiera V. Castañeda & Pamela C. Cisternas, 2021. "Temporal evolution in social vulnerability to natural hazards in Chile," 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. 107(2), pages 1757-1784, June.
    14. Pedro Pinto Santos & Alexandre Oliveira Tavares & Paula Freire & Ana Rilo, 2018. "Estuarine flooding in urban areas: enhancing vulnerability assessment," 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. 93(1), pages 77-95, September.
    15. Seth E. Spielman & Joseph Tuccillo & David C. Folch & Amy Schweikert & Rebecca Davies & Nathan Wood & Eric Tate, 2020. "Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index," 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. 100(1), pages 417-436, January.
    16. Paul M. Johnson & Corey E. Brady & Craig Philip & Hiba Baroud & Janey V. Camp & Mark Abkowitz, 2020. "A Factor Analysis Approach Toward Reconciling Community Vulnerability and Resilience Indices for Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1795-1810, September.
    17. Wenmin Qin & Aiwen Lin & Jian Fang & Lunche Wang & Man Li, 2017. "Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China," 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. 89(1), pages 331-349, October.
    18. Alexander Fekete, 2019. "Social vulnerability change assessment: monitoring longitudinal demographic indicators of disaster risk in Germany from 2005 to 2015," 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. 95(3), pages 585-614, February.
    19. Daminda Solangaarachchi & Amy Griffin & Michael Doherty, 2012. "Social vulnerability in the context of bushfire risk at the urban-bush interface in Sydney: a case study of the Blue Mountains and Ku-ring-gai local council areas," 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 1873-1898, November.
    20. Joshua T. Fergen & Ryan D. Bergstrom, 2021. "Social Vulnerability across the Great Lakes Basin: A County-Level Comparative and Spatial Analysis," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

    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:11:y:2019:i:18:p:5075-:d:267896. 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.