Approaches to Measurement of Urban Resilience

Ilmola, Leena

doi:10.1007/978-3-319-39812-9_11

Cited by 25 publications

(17 citation statements)

References 16 publications

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“…On the other hand, this study confirms other research findings that there is the need to somehow measure resilience (e.g. Bozza et al, 2015;Ilmola, 2016) because those tasked with institutionalising resilience require quantitative tools to demonstrate the added value of resilience to decision-makers and politicians. Although the debate about whether urban and infrastructure resilience can be measured at all will probably not be resolved in the near future (cf.…”

Section: Reflections and Outlooksupporting

confidence: 87%

“…However, it did not allow the quantification of resilience or particular resilience capacities such as resistance, recovery and adaptability. At the same time, there is an emerging trend to produce quantitative tools, indicators and standards to measure urban and infrastructure resilience (for an overview and a discussion see Ilmola, 2016). In resilience research, as in large parts of the scientific world, the two groups of quantitative and qualitative researchers are rather sceptical about each other's findings.…”

Section: Reflections and Outlookmentioning

confidence: 99%

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Enhancing urban and infrastructure resilience

Huck¹

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List of figures 6 List of tables 6 List of abbreviations 6 1 INTRODUCTION 7 1.1 Introduction 8 1.2 Urban and infrastructure resilience in theory and policy practice 9 1.3 An institutional perspective on the governance of urban and infrastructure resilience 19 1.4 Research aim, research questions and thesis outline 20 1.5 Research design and methodology 23 2 URBAN AND INFRASTRUCTURE RESILIENCE: DIVERGING CONCEPTS AND THE NEED FOR CROSS-BOUNDARY LEARNING 27 2.1 Introduction 28 2.2 Knowledge communities and cross-boundary learning 29 2.3 Methodology 31 2.4 Knowledge communities with regard to urban and infrastructure resilience 33 2.5 Discussion 39 2.6 Conclusion 42 5 TABLE OF CONTENTS BUILDING URBAN AND INFRASTRUCTURE RESILIENCE THROUGH CONNECTIVITY: AN INSTITUTIONAL PERSPECTIVE ON DISASTER RISK MANAGEMENT IN CHRISTCHURCH, NEW ZEALAND 61 4.1 Introduction 62 4.2 The need for institutional connectivity in order to achieve urban and infrastructure resilience 63 4.3 Methodology 66 4.4 Risk management in Greater Christchurch: Institutional reforms before and after the 2010-2011 Canterbury Earthquake Sequence 67 4.5 Discussion: Institutions, connectivity and resilience 75 4.6 Conclusion 77 MAINSTREAMING URBAN RESILIENCE IN CHRISTCHURCH AND ROTTERDAM? 79 5.1 Introduction 80 5.2 Mainstreaming urban resilience: Political commitment, governance networks and active engagement of decision-makers and citizens 82 5.3 Rotterdam and Christchurch as participants in 100RC: Problems of mainstreaming urban resilience 85 5.4 Discussion: Mainstreaming urban resilience requires more than participation in 100RC 92 5.5 Conclusion 94 CONCLUSIONS AND REFLECTIONS 97 6.1 Introduction 98 6.2 Summary of results 99 6.3 Institutional arrangements and the governance of urban and infrastructure resilience 103 6.4 Reflections and outlook 109 References 113 Appendices 133 Appendix 1: Overview of interviews-Chapter 3 (Rotterdam) 133 Appendix 2: Overview of interviews-Chapter 4 (Christchurch) 135 Appendix 3: Overview of interviews-Chapter 5

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Section: Reflections and Outlooksupporting

confidence: 87%

Section: Reflections and Outlookmentioning

confidence: 99%

Enhancing urban and infrastructure resilience

Huck¹

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“…The link between the SDMs and LV models is pointed out by Crookes and Blignaut [55], who stated that prey-predator models are suitable to be used in system dynamics models [54], also finding some applications in the field of economics [81,82], ecology (see e.g., [83,84]), and in multidimensional sectors in a supply chain [85]. The most important commonality of these two methods, especially regarding to the assessment of urban resilience referred to in urban and transformation strategies, is that both the models can consider the interactions between the different elements and sectors in urban contexts.…”

Section: How Can These Models Contribute For Building Resilient Systems?mentioning

confidence: 99%

Dynamic Models for Exploring the Resilience in Territorial Scenarios

et al. 2019

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The present paper focuses on the role covered by dynamic models as support for the decision-making process in the evaluation of policies and actions for increasing the resilience of cities and territories. In recent decades, urban resilience has been recognized as a dynamic and multidimensional phenomenon that characterizes urban and metropolitan area dynamics. Therefore, it may be considered a fundamental aspect of urban and territorial planning. The employment of quantitative methods, such as dynamic models, is useful for the prediction of the dynamic behavior of territories and of their resilience. The present work discusses the system dynamics model and the Lotka-Volterra cooperative systems and shows how these models can aid technicians in resilience assessment and also decision makers in the definition of policies and actions, especially if integrated in wide evaluation frameworks for urban resilience achievements. This paper aims to provide an epistemological perspective of the application of dynamic models in resilience assessment, underlying the possible contribution to this issue through the analysis of a real case study and methodological framework. The main objective of this work is to lay the basis for future compared applications of these two models to the same case study.in order to underline dynamic model (DM) features that are closely related to the decision-making process in territorial and urban planning [11]. DMs are recognized as suitable tools to evaluate policies and actions aimed at increasing urban resilience [12][13][14]. This property is related to the fact that these models are built and grounded on dimensions related to both urban systems and urban resilience. In fact, during the construction of the model, it is necessary to select and identify which aspects of a territorial system have to be included with reference to the evaluation goal, from the environmental to the economic dimension [11,12,15]. In this sense, DMs are able to reveal both the dynamic behavior of urban and territorial systems and the impacts of policies on the key variables identified.Specifically, the main aim of this work is to study the principal characteristics of the system dynamics model (SDM) and Lotka-Volterra models (LV) in order to apply both to the same case study. The final purpose of this investigation is to understand the importance of the modelling approach in the field of resilience evaluation.The paper is structured as follows: Section 2 describes the current state of the art of resilience and urban resilience; Section 3 explains the role of dynamic models-the system dynamic models (SDM) and Lotka-Volterra models (LV)-in the decision-making process and summarizes their methodological background, state of art and some illustrative examples; Section 4 explains how the SDM models and LV models could contribute to urban planning; a comparative matrix is developed to investigate the utility of the considered models in predicting support in the design of future transformation scenarios; and Section 5 incl...

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“…However, only a few cities have undertaken actions and strategies to improve their resilience [8,[13][14][15][16][17]. This condition is determined by the difficulties related to the definition of urban resilience and its measurement [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…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%

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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Approaches to Measurement of Urban Resilience

Cited by 25 publications

References 16 publications

Enhancing urban and infrastructure resilience

Enhancing urban and infrastructure resilience

Dynamic Models for Exploring the Resilience in Territorial Scenarios

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

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