Digital Technologies for Urban Resilience

Topic Information

Dear Colleagues,

Due to the recent COVID-19 pandemic, interest in Urban Resilience is growing. Urban Resilience is defined as “a city's ability to survive, adapt and grow despite all kinds of chronic stress (e.g., climate change, environmental pollution, and traffic congestion) and acute shock (e.g., pandemic, earthquakes, droughts, and floods) to the individuals, communities, institutions, businesses, and systems within the city”. For Urban Resilience in recent years, digital technologies are rapidly emerging as tools in building digital platforms for Urban Resilience, facilitating digital engagement of individuals, and constructing smart resilient cities.

As Urban Resilience is regarded as the foundation of a sustainable future, Urban Resilience projects utilizing digital technologies such as AI, big data, and IoT are being considered in many cities around the world. However, there is a lack of theoretical frameworks that can be used for these Urban Resilience projects or practical case studies for reference. Therefore, this topic aims to establish a theoretical framework for Urban Resilience and to make practical contributions to implementing Urban Resilience in many countries by discovering success stories and empirical studies of the use and adoption of digital technologies for Urban Resilience in various areas. To this end, we are looking for papers on the use of digital technologies for Urban Resilience as follows:

Topics of interest include, but are not limited to, the following:

• A study on the theoretical framework for Urban Resilience;
• A study on the integration of strategies, processes, organizations, and digital technologies for Urban Resilience;
• A case of designing and building a digital platform for Urban Resilience;
• A case of using digital technologies and building applications for Urban Resilience to various chronic stress and acute shock:
• Natural disasters and accidents: earthquakes, droughts, floods, building collapses, fires, etc.;
• Climate change and environmental pollution: local warming, air pollution, water pollution, etc.;
• Economic shock and financial stress: stock price crashes, high unemployment, poverty, recession, etc.;
• Disease: pandemic, endemic, etc.;
• Social issues: terrorism, inequity, racism, garbage disposal. chronic traffic jams, digital divide, etc.;
• Security: hacking and cyber-attack, etc.
• A case of constructing a smart resilient city in the world;
• An empirical study on digital engagement of individuals and communities for Urban Resilience;
• An empirical analysis study for the use and adoption of digital technologies for Urban Resilience;
• Regulatory and legal issues related to Urban Resilience, etc.

Prof. Dr. Cheolho Yoon
Dr. Hyungon Kim
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Buildings buildings	3.8	3.1	2011	13.8 Days	CHF 2600	Submit
Infrastructures infrastructures	2.6	4.3	2016	13.4 Days	CHF 1600	Submit
Sustainability sustainability	3.9	5.8	2009	18.3 Days	CHF 2400	Submit
Systems systems	1.9	3.3	2013	16.4 Days	CHF 2400	Submit
Urban Science urbansci	2.0	4.5	2017	23.7 Days	CHF 1200	Submit

Published Papers (3 papers)

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Journals

All Buildings Infrastructures Sustainability Systems Urban Science

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20 pages, 978 KiB  

Open AccessArticle

RETRACTED: Can Digital Financial Inclusion Help Reduce Urban Crime? Evidence from Chinese Criminal Judgment on Theft Cases

by

Xianpu Xu

and

Yuxi Yang

Systems 2023, 11(4), 203; https://doi.org/10.3390/systems11040203 - 18 Apr 2023

Cited by 2 | Viewed by 1425 | Retraction

Abstract

The rapid development of digital finance has changed all aspects of human life and has also had a deep impact on the social governance system. This paper constructs an unbalanced panel of data of the theft crime rates for 289 cities in China [...] Read more.

The rapid development of digital finance has changed all aspects of human life and has also had a deep impact on the social governance system. This paper constructs an unbalanced panel of data of the theft crime rates for 289 cities in China during 2014–2019 based on the theft criminal judgments published on China’s Judicial Documents website and explores the impact of digital financial inclusion on urban theft crime. It shows that there is a significantly negative correlation between digital financial inclusion and the urban theft crime rate, indicating that the development of digital financial inclusion can effectively reduce urban theft crime, which is also confirmed by instrumental variable analysis based on the spherical distance between cities and Hangzhou, and that digital financial inclusion mainly reduces theft crime committed by more serious and highly educated individuals. In addition, mechanism analysis shows that digital financial inclusion can reduce the expected benefits of theft by enhancing payment convenience and raise the opportunity cost by promoting employment. Therefore, in the Internet era, it is essential for China to continuously improve social governance tools that adapt to the development of new technologies to achieve high-quality urban development. Full article

(This article belongs to the Topic Digital Technologies for Urban Resilience)

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20 pages, 2348 KiB  

Open AccessArticle

The Adaptive Seismic Resilience of Infrastructure Systems: A Bayesian Networks Analysis

by

Hui Tang

,

Qingping Zhong

,

Chuan Chen

and

Igor Martek

Systems 2023, 11(2), 84; https://doi.org/10.3390/systems11020084 - 06 Feb 2023

Viewed by 1089

Abstract

Earthquakes pose a significant threat to infrastructure systems. However, improving the seismic resilience of infrastructure systems in earthquake-prone regions is fraught with obstacles. First, this article reviews the current status of earthquake resilience research, points out the gaps of existing research, and then [...] Read more.

Earthquakes pose a significant threat to infrastructure systems. However, improving the seismic resilience of infrastructure systems in earthquake-prone regions is fraught with obstacles. First, this article reviews the current status of earthquake resilience research, points out the gaps of existing research, and then focuses on the adaptability in resilience. Secondly, five groups of influencing factors of infrastructure system adaptability are identified and clustered through literature review and expert knowledge. Thirdly, the structure and conditional probability table of the Bayesian network model are given in detail, and the evaluation model of Bayesian network adaptability is created. A Chinese earthquake-prone county was used to verify the applicability of the model. The research uses forward propagation analysis to calculate the adaptability of the case and obtains the probability of the case’s adaptability. The backward propagation to obtain the ranking of the influence degree of the critical influencing factors on the adaptability and the top three factors are respectively earthquake history, relevant information and contingency mechanisms. Finally, the research suggests measures to improve adaptability. Full article

(This article belongs to the Topic Digital Technologies for Urban Resilience)

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20 pages, 314 KiB  

Open AccessArticle

The Digital Economy and Carbon Productivity: Evidence at China’s City Level

by

Xian Zhao

,

Yiting Dong

and

Xinshu Gong

Sustainability 2022, 14(17), 10642; https://doi.org/10.3390/su141710642 - 26 Aug 2022

Cited by 16 | Viewed by 1666

Abstract

Based on the panel data of 285 prefecture-level cities in China, this paper empirically tests the impact of digital economic development on carbon productivity by using a two-way fixed effect model, intermediary mechanism model and threshold mechanism model. The results show that: (1) [...] Read more.

Based on the panel data of 285 prefecture-level cities in China, this paper empirically tests the impact of digital economic development on carbon productivity by using a two-way fixed effect model, intermediary mechanism model and threshold mechanism model. The results show that: (1) the digital economy can significantly improve carbon productivity, and this conclusion is still valid after a series of robustness tests. (2) An intermediary mechanism test found that technological innovation, reducing energy consumption intensity and improving urban productivity are the three primary paths through which the digital economy significantly improves carbon productivity. (3) A threshold mechanism test found that the promotion effect of the digital economy on carbon productivity is also affected by the degree of marketization and the level of human capital, showing a single threshold effect and a U-shaped trend. (4) The impact of the digital economy on carbon productivity has regional heterogeneity, urban agglomeration heterogeneity, and resource-based city heterogeneity. This study provides substantial empirical evidence for the relevant authorities to formulate green development policies from the perspective of digital economy development. Full article

(This article belongs to the Topic Digital Technologies for Urban Resilience)

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