{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T02:44:46Z","timestamp":1781750686934,"version":"3.54.5"},"reference-count":39,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T00:00:00Z","timestamp":1658448000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fujian University of Technology","award":["GY-Z22039"],"award-info":[{"award-number":["GY-Z22039"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either urban areas or rural areas, and failed to clearly identify the difference between urban and rural resilience. In fact, the exploration of the difference between the resilience characteristics of cities and villages under climate change can help to improve the planning strategy and the allocation of resources. In this study, the indicators of resilience were firstly built through a literature review, and then a Principal Component Analysis was conducted to construct an evaluation system involving indicators such as \u201cgreenland resilience\u201d, \u201ccommunity age structure resilience\u201d, \u201ctraditional knowledge resilience\u201d, \u201cinfrastructure resilience\u201d and \u201cresidents economic independence resilience\u201d. Then the analysis of Local Indicators of Spatial Association showed some resilience abilities are concentrated in either urban or rural. Binary logistic regression was performed, and the results showed urban areas have more prominent abilities in infrastructure resilience (the coefficient value is 1.339), community age structure resilience (0.694), and greenland resilience (0.3), while rural areas are more prominent in terms of the residents economic independence resilience (\u22120.398) and traditional knowledge resilience (\u22120.422). It can be seen that urban areas rely more on the resilience of the socio-economic structure, while rural areas are more dependent on their own knowledge and economic independence. This result can be used as a reference for developing strategies to improve urban and rural resilience.<\/jats:p>","DOI":"10.3390\/ijerph19158911","type":"journal-article","created":{"date-parts":[[2022,7,22]],"date-time":"2022-07-22T12:53:45Z","timestamp":1658494425000},"page":"8911","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7020-8806","authenticated-orcid":false,"given":"Qingmu","family":"Su","sequence":"first","affiliation":[{"name":"School of Architecture and Planning, Fujian University of Technology, Fuzhou 350118, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hsueh-Sheng","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin-En","family":"Pai","sequence":"additional","affiliation":[{"name":"Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2213","DOI":"10.1007\/s11069-020-04269-1","article-title":"Long-term flood risk assessment of watersheds under climate change based on the game cross-efficiency DEA","volume":"104","author":"Su","year":"2020","journal-title":"Nat. Hazards"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"102651","DOI":"10.1016\/j.cities.2020.102651","article-title":"Cool planning: How urban planning can mainstream responses to climate change","volume":"103","author":"Newman","year":"2020","journal-title":"Cities"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"120532","DOI":"10.1016\/j.techfore.2020.120532","article-title":"A novel framework for risk assessment and resilience of critical infrastructure towards climate change","volume":"165","author":"Kumar","year":"2021","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"101830","DOI":"10.1016\/j.ijdrr.2020.101830","article-title":"Engendering disaster risk management and resilience-building: The significance of the everyday in evaluations of the exceptional","volume":"50","author":"Ramalho","year":"2020","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev.es.04.110173.000245","article-title":"Resilience and Stability of Ecological Systems","volume":"4","author":"Holling","year":"1973","journal-title":"Annu. Rev. Ecol. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1080\/09640568.2015.1016142","article-title":"A measurement of community disaster resilience in Korea","volume":"59","author":"Yoon","year":"2016","journal-title":"J. Environ. Plan. Manag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1016\/j.gloenvcha.2011.01.019","article-title":"Adaptive capacity and its assessment","volume":"21","author":"Engle","year":"2011","journal-title":"Glob. Environ. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.cities.2017.10.004","article-title":"Resilience capacity and vulnerability: A joint analysis with reference to Slovak urban districts","volume":"73","author":"Hudec","year":"2018","journal-title":"Cities"},{"key":"ref_9","first-page":"1236","article-title":"Urban\u2013Rural Differences in Disaster Resilience","volume":"106","author":"Cutter","year":"2016","journal-title":"Ann. Am. Assoc. Geogr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/1573062X.2020.1864831","article-title":"Research on establishment of the region flood protection standard-a case of watershed of Dajiaxi, Taiwan","volume":"18","author":"Chang","year":"2021","journal-title":"Urban Water J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s10584-013-0909-y","article-title":"The adaptation and mitigation potential of traditional agriculture in a changing climate","volume":"140","author":"Altieri","year":"2017","journal-title":"Clim. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.gloenvcha.2008.07.013","article-title":"A place-based model for understanding community resilience to natural disasters","volume":"18","author":"Cutter","year":"2008","journal-title":"Glob. Environ. Chang."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.jenvman.2018.01.083","article-title":"Enhancing quantitative approaches for assessing community resilience","volume":"213","author":"Chuang","year":"2018","journal-title":"J. Environ. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.gloenvcha.2014.08.005","article-title":"The geographies of community disaster resilience","volume":"29","author":"Cutter","year":"2014","journal-title":"Glob. Environ. Chang."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"100792","DOI":"10.1016\/j.uclim.2021.100792","article-title":"Exploring the coupling relationship of stormwater runoff distribution in watershed from the perspective of fairness","volume":"36","author":"Chang","year":"2021","journal-title":"Urban Clim."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3667","DOI":"10.1016\/j.jclepro.2015.08.080","article-title":"Efficiency evaluation of material and energy flows, a case study of Chinese cities","volume":"112","author":"Song","year":"2016","journal-title":"J. Clean. Prod."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.apgeog.2018.12.011","article-title":"Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis","volume":"102","author":"Uddin","year":"2019","journal-title":"Appl. Geogr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"66435","DOI":"10.1007\/s11356-021-15708-2","article-title":"Establish an assessment framework for risk and investment under climate change from the perspective of climate justice","volume":"28","author":"Chang","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","article-title":"Local Indicators of Spatial Association\u2014LISA","volume":"27","author":"Anselin","year":"1995","journal-title":"Geogr. Anal."},{"key":"ref_20","unstructured":"Yang, B., and Young, R.F. (2019). EcoWisdom for Climate Justice Planning: Social-Ecological Vulnerability Assessment in Boston\u2019s Charles River Watershed. Ecological Wisdom: Theory and Practice, Springer."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"104223","DOI":"10.1016\/j.catena.2019.104223","article-title":"Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling","volume":"183","author":"Arabameri","year":"2019","journal-title":"CATENA"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.ecolind.2018.07.057","article-title":"Exploring the driving forces of farmland loss under rapidurbanization using binary logistic regression and spatial regression: A case study of Shanghai and Hangzhou Bay","volume":"95","author":"Xiao","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"8893","DOI":"10.3390\/su13168893","article-title":"The Integration of Lean and Resilience Paradigms: A Systematic Review Identifying Current and Future Research Directions","volume":"13","author":"Rad","year":"2021","journal-title":"Sustainability"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10113-013-0471-1","article-title":"Climate change and poverty: Building resilience of rural mountain communities in South Sikkim, Eastern Himalaya, India","volume":"14","author":"Barua","year":"2014","journal-title":"Reg. Environ. Chang."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1016\/j.ijdrr.2018.07.015","article-title":"A synthesis of disaster resilience measurement methods and indices","volume":"31","author":"Cai","year":"2018","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1007\/s11069-015-1993-2","article-title":"The landscape of disaster resilience indicators in the USA","volume":"80","author":"Cutter","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"145734","DOI":"10.1016\/j.scitotenv.2021.145734","article-title":"An open resilience index: Crowdsourced indicators empirically developed from natural hazard and climatic event data","volume":"774","author":"Feldmeyer","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105867","DOI":"10.1016\/j.ssci.2022.105867","article-title":"An integrated decision model for managing hospital evacuation in response to an extreme flood event: A case study of the Hawkesbury-Nepean River, NSW, Australia","volume":"155","author":"Yazdani","year":"2022","journal-title":"Saf. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"100218","DOI":"10.1016\/j.pdisas.2022.100218","article-title":"A modelling framework to design an evacuation support system for healthcare infrastructures in response to major flood events","volume":"13","author":"Yazdani","year":"2022","journal-title":"Prog. Disaster Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s10113-011-0253-6","article-title":"Conceptualising climate change in rural Australia: Community perceptions, attitudes and (in)actions","volume":"12","author":"Buys","year":"2012","journal-title":"Reg. Environ. Chang."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"233","DOI":"10.14430\/arctic4475","article-title":"Inuit Traditional Ecological Knowledge (TEK), Subsistence Hunting and Adaptation to Climate Change in the Canadian Arctic","volume":"68","author":"Pearce","year":"2015","journal-title":"Arctic"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1108\/14777831111113356","article-title":"Social-ecological indicators of resilience in agrarian and natural landscapes","volume":"22","year":"2011","journal-title":"Manag. Environ. Qual. Int. J."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"107290","DOI":"10.1016\/j.ecss.2021.107290","article-title":"Coastal resilience potential as an indicator of social and morphological vulnerability to beach management","volume":"253","author":"Bianco","year":"2021","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/S1464-2867(99)00002-9","article-title":"Sustainability and community resilience: The holy grail of hazards planning?","volume":"1","author":"Tobin","year":"1999","journal-title":"Glob. Environ. Chang. Part B Environ. Hazards"},{"key":"ref_35","first-page":"1","article-title":"Understanding and applying the concept of community disaster resilience: A capital-based approach","volume":"1","author":"Mayunga","year":"2007","journal-title":"Summer Acad. Soc. Vulnerabil. Resil. Build."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"107538","DOI":"10.1016\/j.ress.2021.107538","article-title":"Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures","volume":"210","author":"Kong","year":"2021","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"125197","DOI":"10.1016\/j.jclepro.2020.125197","article-title":"Development of flood resilience framework for housing infrastructure system: Integration of best-worst method with evidence theory","volume":"290","author":"Sen","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.ijdrr.2014.12.003","article-title":"Occupational resilience to floods across the urban\u2013rural domain in Greater Ahmedabad","volume":"12","author":"Srivastava","year":"2015","journal-title":"India. Int. J. Disaster Risk Reduct."},{"key":"ref_39","first-page":"97","article-title":"The Response of Taiwan\u2019s Space Disaster Prevention System from the Perspective of Resilient City","volume":"27","author":"Chang","year":"2020","journal-title":"Urban Dev. Stud."}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/15\/8911\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:54:56Z","timestamp":1760140496000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/19\/15\/8911"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,22]]},"references-count":39,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["ijerph19158911"],"URL":"https:\/\/doi.org\/10.3390\/ijerph19158911","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,22]]}}}