Developing an integrative urban resilience capacity index for plan making

Fu, Xin; Wang, Xinhao

doi:10.1007/s10669-018-9693-6

Cited by 24 publications

(11 citation statements)

References 82 publications

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“…Changes in the resilience of several districts in different scenarios demonstrate how increased resilience can be realized when the contributing variables in every urban system involved are improved accordingly because the resilience of the urban system in every district tends to vary. This finding is consistent with Fu and Wang's research [21] i.e., that conceptually the assessment of urban resilience cannot be separated from the complexity and variety of urban systems.…”

Section: Fig 9 Map Of Economic Resilience Scenariosupporting

confidence: 92%

Urban resilience to floods in parts of Makassar, Indonesia

Thoban

Hizbaron

2020

E3S Web Conf.

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Makassar – the largest and fastest growing area in eastern Indonesia – experienced significant number of damages and losses due to recurrent floods. In early 2019, the flood disaster exposed the urbanized area and inundated 1,658 houses and caused 9,328 impacted population. These figures imply that Makassar needs to create concerted efforts to improve its currently low resilience to floods. This study was designed to assess the urban resilience to floods in Makassar to provide the government with reference for evaluation and identify the most contributing factors to the resilience. In this context, resilience was assessed in four urban systems, namely physical, social, economic, and institutional, in every unit of analysis, i.e., flood-affected districts. The research data included building density, green open space, population density, the number of economically disadvantaged households, community’s subsistence funds, and the availability of early warning systems and disaster emergency stations. The physical, social, economic, institutional, and equal scenarios of resilience were modeled using the Spatial Multi-Criteria Evaluation (SMCE). The results showed that the districts in Makassar were moderately resilient to floods and that the resilience of each urban system shaped the overall resilience. Tamalate and Rappocini sub districts had the lowest resilience values, whereas Manggala was estimated as the most highly resilient district in several scenarios.

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Section: Fig 9 Map Of Economic Resilience Scenariosupporting

confidence: 92%

Urban resilience to floods in parts of Makassar, Indonesia

Thoban

Hizbaron

2020

E3S Web Conf.

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“…In detail, the literature review has been carried out through the support of the Scopus platform, using the keywords “urban resilience indicators”, “resilience capacities” and “redundancy capacity”. Moreover, different resilience assessment approaches [ 13 , 41 , 42 ] and several case studies have been analyzed [ 43 , 44 ], to better understand how these indicators can be applied in the evaluation.…”

Section: Redundancy Indicatorsmentioning

confidence: 99%

“…For this reason, this paper provides a method to collect and describe these criteria considering: (1) dimension, (2) description, (3) unit, (4) capacity, (5) impact (Positive “+” or negative “−”), and (6) source, in order to combine and integrate the different information provided in literature [ 13 , 16 , 25 , 29 – 31 , 41 ]. The objective is underling the capacities to which they are referred to, putting in evidence which can be their possible influence.…”

Section: Redundancy Indicatorsmentioning

confidence: 99%

Exploring the Redundancy Capacity Through a System Dynamics Approach

Bottero

Datola

Angelis

2020

Computational Science and Its Applications – ICCSA 2020

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Current urban agenda is interested in developing urban strategies to enhance urban resilience for cities. This paper examines the concept of urban resilience applied in the context of urban planning with specific attention to which are the capacities that make urban systems resilient. The knowledge and the understanding of these capacities are fundamental to set up suitable strategies. However, only few frameworks consider urban resilience and its capacity within the complexity of urban system. Through an in-depth literature review, this paper aims at providing a methodological framework both to recognize these capacities and analyze which are the main factors that mainly contribute to the achievement of these ability. The paper illustrates the first step of the application of a System Dynamics approach to analyze the redundancy capacity in order to define which are the key variables to enhance this capacity and also to determine which can be the impacts on the urban systems as a whole of the redundancy.

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“…Starting from the assumption "if you can't measure it, you can't improve it" [11,27], urban resilience measurement has become a fundamental aspect concerning the definition of strategies to enhance urban resilience [28][29][30][31][32]. Several methods have been proposed in the literature, that are both qualitative and quantitative [8,18,19,33,34]. Moreover, existing methods are considered to be underdeveloped in terms of evaluating urban resilience within its multi-dimensionality, complexity and dynamic behavior over time [14,18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, existing methods are considered to be underdeveloped in terms of evaluating urban resilience within its multi-dimensionality, complexity and dynamic behavior over time [14,18,19]. The main problem recognized in the existing methods is the lack of mutual interdependences among the different dimensions of urban systems [14,18,19,33,35,36]. The challenge is to provide an assessment method that is able to foresee the resilience of urban system in the future, starting from the current state and according to development strategies [37][38][39].…”

Section: Introductionmentioning

confidence: 99%

A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience

Bottero¹,

Datola²,

Angelis³

2020

Land

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During the last decade, the concept of urban resilience has been increasingly implemented in urban planning, with the main aim to design urban development strategies. Urban resilience is a multi-dimensional and dynamic concept. When applied to urban planning, it consists of studying cities as complex socio-economic systems. Municipalities are currently working to undertake appropriate actions to enrich the resilience of cities. Moreover, several difficulties concern the evaluation of the impacts over time of the strategies designed to enhance urban resilience. The present paper proposes an integrated approach based on the System Dynamics Model (SDM) and the Analytic Network Process (ANP). The objective of this research is to describe the method and to illustrate its application to the area called Basse di Stura, located in the city of Turin, Italy. The method is applied to evaluate the possible impacts of two different urban scenarios in terms of the change of urban resilience performance over time. The final result is represented by an index that describes urban resilience performance.

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Developing an integrative urban resilience capacity index for plan making

Cited by 24 publications

References 82 publications

Urban resilience to floods in parts of Makassar, Indonesia

Urban resilience to floods in parts of Makassar, Indonesia

Exploring the Redundancy Capacity Through a System Dynamics Approach

A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience

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