Article
Construction & Building Technology
Giulia Datola
Summary: Urban resilience as a transformative approach has become a central paradigm for defining urban policy and making cities resilient. This paper provides a comprehensive framework to assess urban resilience by exploring different approaches and definitions, identifying dimensions and key factors, and proposing a guideline for urban planning implementation.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Ziyi Wang, Zengqiao Chen, Cuiping Ma, Ronald Wennersten, Qie Sun
Summary: China's urban energy system resilience (UESR) is unevenly distributed, with cities in the eastern region generally exhibiting higher resilience, while cities in Tibet show the lowest resilience. Regression analysis indicates a positive correlation among UESR, carbon dioxide emissions, and GDP.
Article
Public, Environmental & Occupational Health
Chongyang Du, Min Ouyang, Hui Zhang, Bo Wang, Naiyu Wang
Summary: This study examines the resilience patterns of urban road networks (URNs) in mainland China against single and multiple localized disruptions. The findings show that the distance of the worst-case disruption to the city center is smaller in most cities, but the average road network resilience is lower in the western cities compared to the eastern cities. These disparities can be attributed to variations in socio-economic, infrastructure-related, and topographic factors. The study highlights the importance of nationwide pre-disaster mitigation strategies and knowledge transfer for coping with disruptive events.
Article
Environmental Sciences
Haiyan Yang, Qingda Luo, Xiaobo Sun, Zhe Wang
Summary: The study constructed a comprehensive evaluation index system for urban waterlogging prevention and control resilience in the Beijing-Tianjin-Hebei urban agglomeration, and used the fuzzy VIKOR method to evaluate the resilience. The results revealed regional differences and constraints, and identified vulnerable urban areas. The resilience level in most cities increased, but a few cities showed a decrease, indicating the need to strengthen the capacity for managing waterlogging disasters. The spatial difference in urban waterlogging prevention toughness was significant and should be considered in the expansion and construction of waterlogging prevention and control measures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Faxi Yuan, Yuanchang Xu, Qingchun Li, Ali Mostafavi
Summary: The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments' current status through the use of deep learning framework on fine-grained traffic data. The study designed and implemented three spatio-temporal graph convolutional network (STGCN) models to predict road network status during flood events, and evaluated their prediction performance.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Yaser Hosseini, Reza Karami Mohammadi, Tony Y. Yang
Summary: For disaster management organizations, it is crucial to determine the required resources and optimal allocation schedules for emergency restoring blocked urban road networks. This study introduces a framework that combines seismic simulation, resource allocation scheduling, and resilience index to address these problems. Uncertainty in different aspects of network restoration planning is modeled with probabilistic models. An algorithm based on Simulated Annealing is used to optimize resilience and determine the maximum required resources and optimal task sequences. Results from the road network in Tehran show the effectiveness of the proposed framework.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Geosciences, Multidisciplinary
Vittorio Nicolosi, Maria Augeri, Mauro D'Apuzzo, Azzurra Evangelisti, Daniela Santilli
Summary: Road networks are critical infrastructure systems, and their loss of functionality can hinder various activities and emergency response. Recent research has focused on understanding and designing strategies for the resilience of highway transportation networks. A new innovative methodology is proposed for assessing the economic resources needed to restore damaged infrastructures.
INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
J. C. Roman-Herrera, J. Delgado, M. J. Rodriguez-Peces, J. A. Pelaez, J. Garrido
Summary: This study applies a fast evaluation method for seismically-induced landslides at a regional scale in the Granada Basin, southern Spain. The method considers the variability in input data through a logical tree scheme and combines it with five different empirical relations to obtain a final susceptibility map. The results show that southern and eastern sections of the basin are more vulnerable to landslides, especially around the A-92 highway and A-338 road.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Studies
Fei Ma, Yuyun Ao, Xiaojian Wang, Haonan He, Qing Liu, Danting Yang, Huiyan Gou
Summary: This paper proposes a comprehensive framework for assessing the resilience of urban road networks against rainstorm waterlogging disasters. By analyzing the impact of rainstorm waterlogging disasters on the road network and establishing a resilience assessment framework based on both structural and functional performance, five distinct strategies are implemented to enhance road network resilience. The results suggest that analyzing critical road segments from the perspectives of importance and connectivity can significantly improve road network resilience.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Jesus Felix Bayta Valenzuela, Erika Fille Tupas Legara, Christopher Pineda Monterola
Summary: This study investigates the network properties and response to damage of road networks in cities worldwide using OpenStreetMap data. It finds a strong linear correlation between the average shortest time needed to reach all nodes in a road network and the fraction of road network segments damaged. Additionally, it identifies three families of road networks based on their damage response, and highlights the importance of average shortest path length and average node degree in assessing damage susceptibility.
Article
Transportation
Wang Tao, Zhuang-Zhuang Wang, Cong-Jian Liu, Yi-Ning Lu, Yi Zhang, Ze-Hao Jiang
Summary: This study aims to investigate the degradation of resilience caused by traffic accidents and develop relevant optimization strategies. A two-stage accident resilience framework is proposed, and a network-wide traffic signal optimization model is presented to enhance the capacity of urban-road networks. The experimental results show that the proposed framework can better describe the change mechanism of road network resilience under disturbance and improve system resilience.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Physics, Multidisciplinary
Zhizhen Liu, Hong Chen, Enze Liu, Wanyu Hu
Summary: This study proposed a resilience assessment framework for urban road networks, showing that intersection-based attacks have a significant impact on resilience, and resilience is positively correlated with the node degree of the attacked intersection. Increasing alpha and beta can enhance resilience, and the urban road network achieves the best resilience performance when alpha = 0.3, beta = 0.5.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Public, Environmental & Occupational Health
Junqing Tang, Huali Lin, Xudong Fan, Xiong Yu, Qiuchen Lu
Summary: This paper proposes a simulation-based approach to investigate the resilience of urban road networks in response to different modes of epidemic spreading during severe public health crises, such as the global COVID-19 pandemic. The study shows that road networks exhibit comparatively worse resilient behavior under trajectory-based spreading mode, with recovery processes impacted by road density, centrality order, and regional geographical characteristics. The research emphasizes the importance of dynamic response and strategic recovery planning in post-COVID era for better managing urban road network resilience.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Jingxuan Zhang, Huimin Wang, Jing Huang, Yixin Wang, Gaofeng Liu
Summary: As one of the most important and directly affected infrastructure by flood disasters in urban areas, the road system plays a crucial role in maintaining the order of human production and life. However, existing flood resilience quantification methods neglect the influences on flood resilience caused by the connectivity of road system. Therefore, this paper focuses on the road system, simulates the flood resilience of the road system in multiple disaster scenarios, and quantifies the improvement effect of Low Impact Development (LID) measures on flood resilience.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Chemistry, Analytical
Ana Filipa Rodrigues Nogueira, Hugo S. Oliveira, Jose J. M. Machado, Joao Manuel R. S. Tavares
Summary: This article presents an extensive analysis to identify the best-performing model for classifying sound events in urban scenarios. Transformer models show the most promising results, and the use of pre-training and data augmentation techniques further improves performance.
Article
Engineering, Civil
Youlin Ye, Yazhen Sun, Lin Gao, Zhuang Ma, Xingwei Xue
BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING
(2020)
Article
Multidisciplinary Sciences
Lin Gao, Zengshun Chen, Huihui Yang, Xiaohui Wan, Mingzhen Wang
Summary: This research reveals the hydrodynamic pressure law of ground-rested circular RC tanks under bi-directional horizontal seismic action. It determines the relationship between sloshing wave height and hydrodynamic pressure, verifies the hydrodynamic pressure components and their combination, develops calculation methods for hydrodynamic pressure, and presents their distribution laws. The results show that convective hydrodynamic pressure cannot be ignored when the tank is subjected to seismic action. The method ensures the accuracy and reliability of hydrodynamic pressure calculation.
