Defining the roadmap towards city resilience

Labaka, Leire; Maraña, Patricia; Giménez, Raquel; Hernantes, Josune

doi:10.1016/j.techfore.2019.05.019

Cited by 40 publications

(24 citation statements)

References 25 publications

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“…Acute shocks and long-term stresses [50] All-hazards environment [79] Community resources [37] Disasters [82] [97] [84] Family estates [48] Land use policies [47] Man-made and natural disasters [88] Natural hazards [108] Next generation community [106] Rural diversity [43] Stresses accumulate and sudden shocks [49] Five components…”

Section: Number Of Components Focus Year Referencementioning

confidence: 99%

Modelling, Measuring, and Visualising Community Resilience: A Systematic Review

Nguyễn

Akerkar

2020

Sustainability

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The concept of community resilience receives much attention in studies and applications due to its ability to provide preparedness against hazards, to protect our life against risks, and to recover to stable living conditions. Nevertheless, community resilience is complex, contextual, multifaceted, and therefore hard to define, recognise, and operationalise. An essential advantage of having a complete process for community resilience is the capacity to be aware of and respond appropriately in times of adversity. A three-step process constituting of modelling, measurement, and visualisation is crucial to determine components, to assess value, and to represent information of community resilience, respectively. The goal of this review is to offer a general overview of multiple perspectives for modelling, measuring, and visualising community resilience derived from related and emerging studies, projects, and tools. By engaging throughout the entire process, which involves three sequential steps as we mentioned above, communities can discover important components of resilience, optimise available local and natural resources, and mitigate the impact of impairments effectively and efficiently. To this end, we conduct a systematic review of 77 different literature records published from 2000 to 2020, concentrating on five research questions. We believe that researchers, practitioners, and policymakers can utilise this paper as a potential reference and a starting point to surpass current hindrances as well as to sharpen their future research directions.

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Section: Number Of Components Focus Year Referencementioning

confidence: 99%

Modelling, Measuring, and Visualising Community Resilience: A Systematic Review

Nguyễn

Akerkar

2020

Sustainability

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“…In the last decade, an effort has been made to build climate resilience at a city scale [1,[10][11][12][13][14][15][16][17][18][19][20]40]. For example, the Sendai Framework provides cities with four priorities and seven goals to prevent and reduce known and unknown risks and gain city resilience [17].…”

Section: City Resilience and Stakeholders' Awareness Of Climate Changementioning

confidence: 99%

“…Resilience Definition Awareness Development [18] -Four dimensions to define city resilience-building process:…”

Section: Authormentioning

confidence: 99%

“…Due to the above-mentioned characteristics, we chose to use the Delphi method as it facilitates reaching a consensus during the validation process of the framework [73]. In fact, the Delphi study has been successfully used in the field of city resilience as a method to obtain consensus and validate preliminary results [18,75].…”

Section: Phase 3: Delphi Studymentioning

confidence: 99%

“…Cities recognize their role as contributors to climate change and they are attempting to reduce their impact on the environment while simultaneously building resilience to the irreversible effects of climate change and transforming themselves into sustainable cities [11]. Several studies and projects that develop conceptual models and frameworks to build city resilience and become a sustainable city can be found in the literature [10][11][12][13][14][15][16][17][18][19][20]. The aim of these studies is to define the attributes and actions needed to improve the resilience level of cities.…”

Section: Introductionmentioning

confidence: 99%

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Are Cities Aware Enough? A Framework for Developing City Awareness to Climate Change

et al. 2020

Self Cite

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Cities are growing and becoming more complex, and as they continue to do so, their capacity to deal with foreseen and unforeseen challenges derived from climate change has to adapt accordingly. In the last decade, an effort has been made to build city resilience and improve cities’ capacity to respond to, recover from and adapt to climate change. However, certain city stakeholders’ lack of proactive behavior has resulted in less effective city resilience-building strategies. In this sense, the importance of developing stakeholders’ awareness of climate change in order to ensure proactivity is documented in the literature. However, there is a lack of studies that define how, when and what should be done to develop stakeholders’ climate change awareness at a city scale. This paper presents a framework to develop stakeholders climate change awareness as a result of a systematic literature review and a co-creation process with the participation of 47 experts through a focus group and a Delphi study. The framework defines a four-step process and includes nine policies that seek to develop stakeholders’ climate change awareness. The framework concludes determining the responsibilities of each stakeholder by defining the policies they should implement, and the effect one policy might cause on other stakeholders and among policies.

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Proposing a composite index and maturity model for urban sustainability in the Brazilian context: A machine learning and data envelopment analysis approach

Furlan,

Lima,

Paião Junior

et al. 2024

Sustainable Development

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Despite efforts towards the accomplishment of the UN 2030 Agenda, the challenges of burgeoning populations, income inequality, difficulty in accessing basic services, among others, remain in several cities around the world. New approaches to measure and assess the sustainability of cities can support the development of actions to improve the different dimensions of sustainability. The research aims to propose an urban sustainability index and a maturity model to evaluate the sustainability of cities and monitor it over time. To achieve this objective, a maturity model was developed based on three different techniques: Data Envelopment Analysis, Artificial Neural Networks, and Analysis of Variance. The proposed index and the maturity model were applied to evaluate a sample of 504 Brazilian cities. The main results observed are: (a) the presence of five distinct levels of city performance (maturity), grouped via machine learning and validated via inferential statistics; (b) no city was considered fully sustainable and only 4.76% of the cities studies are at the highest level of urban sustainability maturity; (c) from a joint application of the three quantitative techniques and specific targets for each indicator could be identified, and the performance of cities classified over time. Based on the results, it is hoped that policy makers will have more objective and standardized tools to collect useful information and be able to reinforce critical strategies or chart new policies towards sustainable urban development. It is also hoped that the joint application of the techniques can shed light on new urban sustainability assessment models.

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Defining the roadmap towards city resilience

Cited by 40 publications

References 25 publications

Modelling, Measuring, and Visualising Community Resilience: A Systematic Review

Modelling, Measuring, and Visualising Community Resilience: A Systematic Review

Are Cities Aware Enough? A Framework for Developing City Awareness to Climate Change

Proposing a composite index and maturity model for urban sustainability in the Brazilian context: A machine learning and data envelopment analysis approach

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