Article
Transportation Science & Technology
Mohammad Ansari Esfeh, Lina Kattan, William H. K. Lam, Mostafa Salari, Reza Ansari Esfe
Summary: The paper proposes a new data-driven approach to analyze the vulnerability of impact areas, taking into account the probability and effects of incidents. The approach focuses on the spatial and temporal impacts of non-recurrent incidents, capturing the dynamic propagation of congestion patterns in the vicinity of the affected area. The developed vulnerability index improves the modeling of multi-dimensional travel delays caused by non-recurrent incidents in a road network.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Engineering, Civil
Wen-Long Shang, Ziyou Gao, Nicolo Daina, Haoran Zhang, Yin Long, Zhiling Guo, Washington Y. Ochieng
Summary: This study proposes a new method, Relative Area Index (RAI), to quantify the robustness of multi-scale urban road networks (URNs) and compares it with a traditional topological metric. The results show that RAI is more effective in capturing the impact of realistic network characteristics and highlights the importance of central management when URNs suffer from disruptions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Mathematics, Interdisciplinary Applications
Genki Ichinose, Tomohiro Tsuchiya, Shunsuke Watanabe
Summary: By constructing passing networks with players as nodes and passes as links, key players with higher centrality metrics can be identified. The robustness of passing networks, which has a significant impact on game outcomes, is poorly understood but crucial as it relates to ball possession and game strategies. Hubs in passing networks, like full backs, play a key role in increasing robustness through emphasis on attack, showing that not just the number of passes but also the robustness of passing networks are important for winning.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Physics, Multidisciplinary
Marco Tomassini
Summary: This study demonstrates that the robustness of real-world complex networks against deliberate attacks can be improved using network modification techniques. Two methods, edge rewiring and edge addition, are compared and both are found to be useful in reducing vulnerability of infrastructure networks. Edge rewiring leads to less vulnerable networks, but it is difficult to implement in real-world networks due to engineering and cost reasons. Edge addition, on the other hand, is easier to apply and effective against random edge failures and attacks targeting bridge edges.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Yongsheng Bai, Bing Zha, Halil Sezen, Alper Yilmaz
Summary: This paper presents comprehensive experimental studies on automated Structural Damage Detection (SDD) using deep learning methods for processing 2D images in extreme events. The results show that using deep learning methods can improve the accuracy of damage detection, and these solutions are feasible and promising.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Environmental Studies
Johan Rose Santos, Nur Diana Safitri, Maya Safira, Varun Varghese, Makoto Chikaraishi
Summary: Climate change is increasing the vulnerability of cities, leading to the need for further policy actions to enhance their resilience, with a focus on the critical role of transport networks in disaster response. The study findings indicate that cities with higher population and infrastructure investment are more robust to random attacks, while larger cities with high urban function agglomeration are less robust to targeted attacks. Car dependency increases vulnerability to random attacks and decreases vulnerability to targeted attacks, while a high mode share for trains reduces vulnerability to random events.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2021)
Article
Green & Sustainable Science & Technology
Amir Al Hamdi Redzuan, Rozana Zakaria, Aznah Nor Anuar, Eeydzah Aminudin, Norbazlan Mohd Yusof
Summary: This paper proposes a method for assessing road network vulnerability by evaluating all road segments and introduces a segment vulnerability index based on the support of diversion routes. The model can assist transportation agencies in planning and maintaining road assets more effectively by prioritizing vulnerable road segments.
Article
Environmental Sciences
Sofia Aldabet, Evan B. Goldstein, Eli D. Lazarus
Summary: This study examines the functioning thresholds of road networks on barrier islands along the Atlantic and Gulf coasts of the USA, providing important insights into the future dynamics of human-altered barriers. The research finds that no single metric sufficiently ranks the susceptibility of barrier road networks to failure.
Article
Communication
Xuanjun Gong, Richard Huskey, Haoning Xue, Cuihua Shen, Seth Frey
Summary: Understanding information diffusion is crucial for understanding the impacts of social media. Two types of processes, broadcasting and viral spread, govern information diffusion. This study used a simulation and real-world Twitter data to show that broadcasting is associated with more integrated discourse networks compared to viral spreading. The results suggest that information diffusion dynamics on social media can disrupt or amplify both prosocial and antisocial content.
JOURNAL OF COMMUNICATION
(2023)
Article
Geosciences, Multidisciplinary
Jonathan M. Frame, Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shalev, Oren Gilon, Logan M. Qualls, Hoshin Gupta, Grey S. Nearing
Summary: The most accurate rainfall-runoff predictions are currently based on deep learning, but there is concern about their reliability in predicting extreme events. This study used LSTM networks and a mass-conserving LSTM variant to test this hypothesis, and found that these models remained relatively accurate in predicting extreme events compared to traditional models.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Automation & Control Systems
Gustav Lindmark, Claudio Altafini
Summary: This paper investigates the impact of addition/removal/reweighting of edges in a complex networked linear control system. For networks of positive edge weights, the creation of new cycles by adding edges may lead to instabilities. Conditions are provided to guarantee the stability of the modified network, which are related to the steady state value of the transfer function matrix of the newly created positive feedbacks. The tools developed in this paper can be used to examine the fragility and robustness of a network to structured perturbations.
Article
Environmental Studies
Philippe Y. R. Sohouenou, Luis A. C. Neves, Aris Christodoulou, Panayotis Christidis, Davide Lo Presti
Summary: This paper assesses the robustness of the Sioux Falls network to a wide range of disruptions using a hazard-independent approach. It investigates the predictability of link combinations with the highest impacts on network performance, and evaluates the sensitivity of the results to travel demand.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Ecology
M. Isidora Avila-Thieme, Erik Kusch, Derek Corcoran, Simon P. Castillo, Fernanda S. S. Valdovinos, Sergio A. A. Navarrete, Pablo A. A. Marquet
Summary: 《NetworkExtinction》is an R package that allows users to study the propagation of species extinction sequences and the potential for rewiring in ecological networks. It provides tools for simulating extinction cascades, analyzing network structure, and comparing results to random extinction models.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Environmental Sciences
Raviraj Dave, Srikrishnan Siva Subramanian, Udit Bhatia
Summary: The study developed an integrated framework to assess the impact of concurrent hazards on regional road networks, showing that even highly localized concurrent events have the potential to induce widespread and prolonged disruptions. Failure to account for concurrence in these correlated hazards could result in underestimation of functionality losses by 71%.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Mathematics, Interdisciplinary Applications
Bhagyaraj Thangavel, Sabarathinam Srinivasan, Thamilmaran Kathamuthu
Summary: This work reports the existence of extreme events in the Bonhoeffer-van der Pol oscillator system and investigates it through both experimental and numerical studies. Various methods and statistical measures were used to confirm the occurrence of extreme events in the system.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Construction & Building Technology
Limon Barua, Bo Zou, Mohamadhossein Noruzoliaee, Sybil Derrible
Summary: Understanding airfield pavement deterioration is crucial for ensuring safe and efficient airport operations. This paper utilizes Gradient Boosting Machine to investigate the contributions of various influencing factors to runway and taxiway pavement deterioration at Chicago O'Hare International Airport. The developed GBM models outperform other methods in terms of model goodness-of-fit and can help airport agencies enhance the ability to understand airport asset performance.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2021)
Article
Construction & Building Technology
John Mulrow, Sybil Derrible
SUSTAINABLE CITIES AND SOCIETY
(2020)
Article
Green & Sustainable Science & Technology
Ali Movahedi, Sybil Derrible
Summary: This study applies extreme gradient boosting to predict and analyze electricity, gas, and water consumption in large-scale buildings in New York City. The results show complex interrelationships among these resources, mainly influenced by heating technology and building type.
JOURNAL OF INDUSTRIAL ECOLOGY
(2021)
Article
Multidisciplinary Sciences
Deborah Salon, Matthew Wigginton Conway, Denise Capasso da Silva, Rishabh Singh Chauhan, Sybil Derrible, Abolfazl (Kouros) Mohammadian, Sara Khoeini, Nathan Parker, Laura Mirtich, Ali Shamshiripour, Ehsan Rahimi, Ram M. Pendyala
Summary: The COVID-19 pandemic has brought significant changes to people's lifestyles, with potential future trends including an increase in telecommuting, a decrease in air travel, and an improved quality of life for some individuals.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Transportation Science & Technology
Thi My Thanh Truong, Hai-Bang Ly, Dongwoo Lee, Binh Thai Pham, Sybil Derrible
Summary: This study investigates travel decisions in Hanoi (Vietnam) using Support Vector Machine (SVM) and compares it with multinomial logit (MNL) model. Results show that SVM achieves higher accuracy than MNL, with factors like parking charges, household income, trip mode, and trip cost being the most important influencing variables. In contrast, factors like trip purpose, gender, and occupation have negative impacts on the model.
TRANSPORTATION PLANNING AND TECHNOLOGY
(2021)
Article
Engineering, Environmental
Yue Li, Weiwei Mo, Sybil Derrible, Zhongming Lu
Summary: Decentralized water technologies such as rainwater harvesting and greywater recycling can supplement urban water systems, reduce water consumption, and improve water reliability. However, the support for selecting suitable locations and interpreting optimal selections in terms of environmental benefits and economic costs remains inadequate. This study presents an integrated analytic framework that combines multi-objective optimization and data-driven interpretation to promote building-based decentralized water technologies in cities.
Article
Green & Sustainable Science & Technology
Joe F. Bozeman, Shauhrat S. Chopra, Philip James, Sajjad Muhammad, Hua Cai, Kangkang Tong, Maya Carrasquillo, Harold Rickenbacker, Destenie Nock, Weslynne Ashton, Oliver Heidrich, Sybil Derrible, Melissa Bilec
Summary: Now is the time to refocus efforts in urban research and design to address the unique challenges presented by climate change and extreme weather events. Three research priorities for just and sustainable urban systems are social equity and justice, circularity, and digital twins. These priorities include initiatives such as equity analysis, integration metrics, and reducing complexity in the development of digital twins.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Editorial Material
Engineering, Civil
Samuel Labi, Hosin David Lee, Sybil Derrible
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Ali Movahedi, Amir Bahador Parsa, Anton Rozhkov, Dongwoo Lee, Abolfazl Kouros Mohammadian, Sybil Derrible
Summary: The analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study, we focus on electricity consumption and travel demand. The premise is that when people are in buildings consuming electricity, they are not generating traffic on roads, and vice versa, hence the presence of interrelationships.
SCIENTIFIC REPORTS
(2023)
Review
Construction & Building Technology
Poornima A. Jayasinghe, Sybil Derrible, Lina Kattan
Summary: Developing integrated, sustainable, and resilient urban systems requires understanding and addressing the interdependencies between urban transport, water, and solid waste. This article identifies these interdependencies, provides a qualitative analysis, and emphasizes the need for further research to quantify them. An integrated approach that considers the mutual impacts and interactions among these systems is necessary for promoting sustainability and resilience in the face of urbanization and climate change pressures.
Article
Engineering, Environmental
John Mulrow, Joe F. Bozeman, Shantanu Pai, Emily Grubert, Sybil Derrible
Summary: This article proposes an Energy-Material Cycles (EM-cycles) model for comparing tradeoffs in different energy systems. Applying the model to recent vehicle models, the study finds that electrification may have a material efficiency advantage over combustion.
RESOURCES CONSERVATION AND RECYCLING
(2023)
Article
Computer Science, Artificial Intelligence
Pipatphon Lapamonpinyo, Sybil Derrible, Francesco Corman
Summary: This article proposes real-time passenger train delay prediction models using machine learning techniques and investigates the impact of different data-frame structures on model performance. The results show that the MLP model with RWH-DFS outperforms others. Additionally, the influence of external variables on the real-time prediction models is analyzed.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohamed Badhrudeen, Eric Sergio Boria, Guillemette Fonteix, Michael D. Siciliano, Sybil Derrible
Summary: This study focuses on developing a procedure to help municipalities perform CAD-to-GIS conversion, aiming to address the challenges posed by heterogeneities in data structure and format. Potential problems in CAD-to-GIS conversion were identified through interviews and literature review. The proposed framework, consisting of five stages, successfully converts CAD data to GIS data, as showcased in a case study.
Article
Environmental Sciences
Mohamed Badhrudeen, Sybil Derrible, Trivik Verma, Amirhassan Kermanshah, Angelo Furno
Summary: This study uncovers universal patterns and similarities in urban road networks of the 80 most populated cities by analyzing topological and geometric properties. The findings include one universal pattern between the number of nodes and links across cities, and identification of five classes of cities based on their characteristics. This research can assist transport planners and policymakers in identifying peer cities and crafting tailored transport policies.
Article
Environmental Studies
Sybil Derrible, Thanh T. M. Truong, Hung T. T. Pham, Quan H. H. Nguyen
Summary: The future of water distribution systems can learn from the low-pressure distribution in Hanoi, Vietnam, where buildings are equipped with basement and rooftop tanks as well as separate water treatment processes, resulting in a more energy-efficient and resilient system.
NPJ URBAN SUSTAINABILITY
(2021)
