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Flood Vulnerability and Resilience in Urban Settings: Perspectives for Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 10058

Special Issue Editors


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Assistant Guest Editor
Faculty of Planning, School of Urban Planning and Landscape Architecture, University of Montréal, Côte Saint Catherine 2540, Montréal QC H3T1B9, Canada
Interests: vulnerability; resilient urban planning; flood communities adaptation; risks mitigation and adaptation

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Assistant Guest Editor
Ocean Islands Ecosystems Joint Research Group, French Polynesia University, Punaauia B.P. 6570, 98702 Faa'a, Tahiti-French Polynesia
Interests: resilience; risks; climate change; vulnerability

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Assistant Guest Editor
Lab’Urba / Urban Engineering Team, Gustave Eiffel University, Lavoiser Building, Descartes 5, Marne-la-Vallée 77454 CEDEX 2, Paris, France
Interests: systemic approach and multi-criteria analysis; decision support; urban infrastructure

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Chief Guest Editor
Lab’Urba / Urban Engineering Team, Gustave Eiffel University, Lavoiser Building, Descartes 5, CEDEX 2, 77454 Marne-la-Vallée, Paris, France
Interests: resilient design; flood; urbanism; urban engineering; critical infrastructure; disaster waste
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Scientific research on urban vulnerability and resilience now offers knowledge that is well-supported by theoretical and methodological advances. In a logic of translating these results into urban action, this Special Issue aims to initiate a reflection on prospective elements for taking flood risks in urban areas into account.

The main objective is to formulate a critical approach to current risk management in urban areas based on an international feedback of case studies. This critical approach should be developed on the basis of recognized elements from real-life situations and from the research field, without being limited to the theoretical dimension alone. This Special Issue is an opportunity to present innovative case studies of urban reconstruction in flood-prone areas, and to reflect on how the projects enhance, or do not enhance, resilience.

The expected proposals should provide an innovative scope of the literature dedicated to urban resilience. Editors expect research that questions the co-construction processes necessary for the success of a resilient project.

Papers in the field of risks, urban planning, urban engineering, geography, and architecture are expected. The Editors would like to see work that links the various research elements for action in urban communities, irrespective of whether at the scale of watersheds, cities, neighborhoods, or buildings. How to build viable and resilient neighborhoods? What are the ingredients for successful projects? What co-construction processes are necessary for success, and what are the obstacles and solutions?

Expected topics are as follows (not an exhaustive list):

  • Risk analyses (hazards and vulnerabilities) of case studies or comparative approaches to flood-prone urban areas.
  • Research hybridizing resilience measures with urban, landscape, architectural, and social quality aspects in “non-crisis” periods.
  • Detailed work resulting from the operation of urban technical systems, whether they are taken individually or in terms of interdependencies and domino effects.
  • Analyses of case studies dealing with urban metabolism and urban systems in the face of flood risks while determining the regulatory framework for these resilient developments.
  • Research which deals with resilience measures for crisis time, integrated with urban quality aspects in “non-crisis” periods.
  • Research evaluating resilience or vulnerability urban proposals to mitigate flood risks, based on tools such as GIS, city information models, digital twins, indicator systems, spatial decision support systems, etc.

This Special Issue focuses on the analysis of so-called “resilient” actions and on research aimed at being transformed into action. Authors are therefore strongly encouraged to address the flooding issue via all the temporalities related to risk management and adapting territories before, during, and after the crisis.

Prof. Dr. Bruno Barroca
Prof. Dr. Isabelle Thomas
Dr. Charlotte Heinzlef
Dr. Katia Laffrechine
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • resilient rebuilding
  • climate change adaptation

Published Papers (4 papers)

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Research

22 pages, 1283 KiB  
Article
To Rebuild or Relocate? Long-Term Mobility Decisions of Hazard Mitigation Grant Program (HMGP) Recipients
by Kijin Seong, Clare Losey and Shannon Van Zandt
Sustainability 2021, 13(16), 8754; https://0-doi-org.brum.beds.ac.uk/10.3390/su13168754 - 05 Aug 2021
Cited by 4 | Viewed by 1950
Abstract
Limited funds and the demand for disaster assistance call for a broader understanding of how homeowners decide to either rebuild or relocate from their disaster-affected homes. This study examines the long-term mobility decisions of homeowners in Lumberton, North Carolina, USA, who received federal [...] Read more.
Limited funds and the demand for disaster assistance call for a broader understanding of how homeowners decide to either rebuild or relocate from their disaster-affected homes. This study examines the long-term mobility decisions of homeowners in Lumberton, North Carolina, USA, who received federal assistance from the Hazard Mitigation Grant Program (HMGP) for property acquisition, elevation, or reconstruction following Hurricane Matthew in 2016. The authors situate homeowners’ decisions to rebuild or relocate in the context of property attributes and neighborhood characteristics. Logit and probit regressions reveal that homeowners with lower-value properties are less likely to relocate, and those subjected to higher flood and inundation risks are more likely to relocate. Additionally, homeowners in neighborhoods of higher social vulnerability—those with a higher proportion of minorities and mortgaged properties—are more likely to rebuild their disaster-affected homes. The authors discuss homeowners’ mobility decisions in the context of the social vulnerability of neighborhoods. Our results contribute to an ongoing policy discussion that seeks to articulate the housing and neighborhood attributes that affect the long-term mobility decisions of recipients of HMGP assistance. The authors suggest that local governments prioritize the mitigation of properties of homeowners of higher physical and social vulnerability to reduce socioeconomic disparities in hazard mitigation and build equitable community resilience. Full article
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18 pages, 2298 KiB  
Article
The Spatial and Temporal Decomposition of the Effect of Floods on Single-Family House Prices: A Laval, Canada Case Study
by Maha AbdelHalim, Jean Dubé and Nicolas Devaux
Sustainability 2021, 13(9), 5088; https://0-doi-org.brum.beds.ac.uk/10.3390/su13095088 - 01 May 2021
Cited by 3 | Viewed by 1823
Abstract
This paper aims to estimate and decompose the spatial and temporal effect of a flood event occurring in the city of Laval in 1998 using a hedonic pricing model (HPM) based on a difference-in-differences (DID) estimator. The empirical investigation of the impact of [...] Read more.
This paper aims to estimate and decompose the spatial and temporal effect of a flood event occurring in the city of Laval in 1998 using a hedonic pricing model (HPM) based on a difference-in-differences (DID) estimator. The empirical investigation of the impact of flood as a natural disaster must take into account the fact that the negotiation process between buyers and sellers may well occur before the event. It is argued that the evaluation procedure needs to be adjusted to account for this reality because the estimation of the effects may otherwise be biased and isolate other effects. To test this hypothesis, the study focuses on transactions occurring between (1995 and 2001) and within designated floodplains to adequately isolate and decompose the impact of flood. The original database contains information on 252 single-family houses transactions. The results suggest that the estimation of the impact is time dependent, with a measured negative effect appearing several months after the flood, suggesting that the impact is hard to establish right after the event since transactions, and the final sale price, could have been fixed by negotiations well before the event. The statistical methodological framework of flood research should be adapted to account for the negotiation process occurring prior to the flood event to be able to correctly isolate the impact for the after event. The flooded area also needs to be precisely identified to be able to correctly estimate the flood impact on houses that have faced flood. Full article
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16 pages, 1587 KiB  
Article
Hazards, Infrastructure Networks and Unspecific Resilience
by Nabil Touili
Sustainability 2021, 13(9), 4972; https://0-doi-org.brum.beds.ac.uk/10.3390/su13094972 - 29 Apr 2021
Cited by 5 | Viewed by 2489
Abstract
The aim of this paper is to provide a framework to improve urban resilience independently of the nature of the disturbances. Recent disasters had a significant impact on critical infrastructures providing essential urban services such as energy, transportation, telecommunication, water and food supply [...] Read more.
The aim of this paper is to provide a framework to improve urban resilience independently of the nature of the disturbances. Recent disasters had a significant impact on critical infrastructures providing essential urban services such as energy, transportation, telecommunication, water and food supply or health care. Indeed, several natural and human-made hazards may lead to disruptions, and most critical infrastructures are networked and highly interdependent. Henceforth, resilience building remain focused on specific hazards or on improving the resilience, separately, of single infrastructures. In order to enhance urban resilience, this paper is based on learnings from three case studies that are the 2001 WTC terrorist attack, hurricanes Irma and Maria in 2017 and the 2016 Seine river flood in Paris. These events highlight disruptions to urban services, but also some resilience options. In light of both the literature and our case studies, a framework of unspecific resilience is provided for improving some resilience principles, namely omnivory, redundancy, buffering, high flux, homeostasis and flatness within electric energy, water and food supply and transportation networks. Rebuilding resilience within this framework is further discussed with respect to all kinds of disruptive events. Full article
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16 pages, 848 KiB  
Article
A Group-Decision-Making Framework for Evaluating Urban Flood Resilience: A Case Study in Yangtze River
by Huagui Zhu and Fan Liu
Sustainability 2021, 13(2), 665; https://0-doi-org.brum.beds.ac.uk/10.3390/su13020665 - 12 Jan 2021
Cited by 13 | Viewed by 2398
Abstract
Floods are among the most common and destructive natural disasters confronted by cities and are further aggravated by rapid climate change and increasing urbanization, posing a great challenge to flood risk management. To cope with uncertainty, there is a need to move towards [...] Read more.
Floods are among the most common and destructive natural disasters confronted by cities and are further aggravated by rapid climate change and increasing urbanization, posing a great challenge to flood risk management. To cope with uncertainty, there is a need to move towards approaches to managing flood risk by taking resilience into consideration. While the evaluation of urban flood resilience has gained much attention in recent decades, studies on quantitative measurement using multiple criteria decision making (MCDM) approaches are rare. In addition, the results determined by different MCDM methods may exhibit considerable variability. It is an intractable task to gather a group consensus from these methods. In this regard, in this paper, we propose a group-decision-making framework for measuring urban resilience to flooding, combining three stages, which are (i) normalizing the data, (ii) weighting the criteria and (iii) aggregating the results. Four objective MCDM methods—i.e., the variation coefficient method, Shannon weighting method, CRITIC and ideal point method—are proposed and treated as reliable methods. A stochastic multi criteria acceptability analysis is adopted to integrate those results into a composite resilience index. The proposed methodology is applied to the resilience evaluation problem of 41 cities in the Yangtze River basin, and the results are compared with those obtained with the four MCDM methods. It is demonstrated that our method considers all possible preferences among the results provided by various MCDM methods and is thus more robust and acceptable. Full article
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