Towards Smart and Resilient City: A Conceptual Model

Arafah, Y; Winarso, Haryo; Suroso, Djoko Santoso Abi

doi:10.1088/1755-1315/158/1/012045

Cited by 16 publications

(8 citation statements)

References 26 publications

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“…Among them, most of the research is being conducted in the fields of disaster, ecology, and crisis management [48][49][50][51]. Research related to urban resilience has been actively conducted in recent years on a range of subjects including urban sustainability and resilience studies [52][53][54], urban regeneration projects and urban resilience diagnosis [55,56], regional resilience diagnosis studies applying the concept of resilience [49,57], studies on the resilience of communities through the application of theory [58,59], development of evaluation criteria for the introduction of the resilient city model, and analysis of applicability [60][61][62]. The existing research mainly focuses on diagnosing the resilience construction process of urban regeneration projects, regional resilience, and low-rise residential communities through the concept of resilience.…”

Section: Urban Sustainability and Resiliencementioning

confidence: 99%

Recognition Changes of the Concept of Urban Resilience: Moderating Effects of COVID-19 Pandemic

Han

Sim

Kwon

2021

Land

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Urban resilience, which has emerged as an important concept in cities since sustainability became a 21st-century urban paradigm, reflects the needs of the times to change and bring about a shift in existing national landscape architecture and social policies. To explore the characteristics of recognition of college students majoring in landscape architecture towards the concept of urban resilience before and after the beginning of COVID-19, this study aims to answer three research questions: to analyzes recognitions of landscape architecture majoring students on urban resilience (research question 1); to compare the differences that emerge from before and after the beginning of the COVID-19 pandemic (research question 2); and to explore latent classes according to the education pattern (research question 3). The results of this study are as follows: First, before the beginning of COVID-19, four latent classes were drawn up in relation to awareness of the concept of urban resilience, while three latent classes were examined after the start of the pandemic. Before the beginning of COVID-19, students of landscape architecture accepted the concept of urban resilience as a physical and environmental approach to overcome risk factors by creating landscape architecture and infrastructure or applying the concept of resilience in urban development and redevelopment. However, after the beginning of COVID-19, they mostly have been recognized urban resilience as a concept related to technological ability. Thirdly, the grades and educational experiences of the students were found to have a significant effect on the probability of their belonging to a specific latent class.

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Section: Urban Sustainability and Resiliencementioning

confidence: 99%

Recognition Changes of the Concept of Urban Resilience: Moderating Effects of COVID-19 Pandemic

Han

Sim

Kwon

2021

Land

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“…The real-time monitoring adopted by a "smart city" can help to create a more resilient city. Monitors in cities that provide data on a range of phenomena such as water leakage from pipes, flooding of roads, pollution, traffic buildup, and increased heat and drought conditions are vital to a proper assessment of climate change consequences in cities [74][75][76][77]. A smart city would also involve an improved risk management system.…”

Section: Urban Futures In Times Of Climate Changementioning

confidence: 99%

Cities and Climate Change

Short

Farmer

2021

Earth

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This review paper considers the disjuncture between the rapid pace of climate change and the more sluggish ability of cities to fully implement effective strategies of climate change adaptation and mitigation. We will refer to this as the ‘slow city–quick climate change’ dilemma. Climate change is accelerating, quickly rendering obsolete previous urban forms inadequate, while structural adjustments to cities are slower moving. Cities around the world were largely built for previous climate regimes. In the short to medium term, there is a mismatch between the climate regime that cities were designed for and the climate regime they now inhabit. The paper is divided into four parts: a brief review of climate change in general; climate change in cities; a review of climate change adaptation and mitigation in cities; and finally, a discussion of urban futures in the time of climate regime change.

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“…It is the intrinsic ability of an organization (system) to maintain or regain a dynamically stable state allowing to continue operations after a major mishap and/or in the presence of a continuous stress (Hollnagel, 2006). In particular, SC developments need to address resilient city concepts (Arafah et al, 2018). Cities in general are examples of complex systems and are extremely vulnerable to diverse threats making initiatives for enhancing resilience of utmost importance (Godschalk, 2003).…”

Section: The Notion Of Resiliencementioning

confidence: 99%

“…a sudden increase in purchasing behavior, triggered by political announcements such as movement restrictions, led to shortages of specific consumer items and consequently to uncertainties among the population (Keane & Neal, 2021). CI systems are systems of highly interconnected components and are especially prone to systemic risks and cascading failures (Buldyrev et al, 2010) making concepts of resilience accordingly important (Arafah et al, 2018;Hickford et al, 2018). Developments towards Smart Cities (SCs) even increase their complexity due to growing automation and interconnectedness.…”

Section: Introductionmentioning

confidence: 99%

Strengthening Resilience in Critical Infrastructure Systems: A Deep Learning Approach for Smart Early Warning of Critical States

Möhrle¹,

Ottenburger²,

Müller³

et al. 2021

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)

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Systems of critical infrastructures are characterized by strong interdependencies and the developments of urban areas towards Smart Cities even increase the underlying complexity due to growing automation and interconnectedness. A system of highly cross-linked components is especially prone to systemic risks making concepts of resilience accordingly important. One way for being able to withstand in times of stress, maintain security of supply, and promote adaptive and anticipative capabilities, is to establish early warning capabilities. As cities are complex and rather chaotic socio-technical systems reigned by randomness, the caused parametric uncertainties challenge modeling approaches that are intended to support robust decision-making. Sophisticated methods based on artificial intelligence can play an essential role in this case, as they perform well on highly complex environments and large data set. To study resilience, the urban area is split into zones where the city's state is determined by the states of these zones and the state of a zone is characterized by the criticalities of infrastructures accommodated there. Considering criticality as an atomic building block for urban performance assessments, this paper proposes a zone-based state forecast methodology by applying deep convolutional neural networks for learning state evolution that is influenced by non-linear demand dynamics. Furthermore, a case study is presented that applies agent-based simulations and underlines the relevance of deep learning approaches for Smart City early warning systems.

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Towards Smart and Resilient City: A Conceptual Model

Cited by 16 publications

References 26 publications

Recognition Changes of the Concept of Urban Resilience: Moderating Effects of COVID-19 Pandemic

Recognition Changes of the Concept of Urban Resilience: Moderating Effects of COVID-19 Pandemic

Cities and Climate Change

Strengthening Resilience in Critical Infrastructure Systems: A Deep Learning Approach for Smart Early Warning of Critical States

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