Road network evolution in the urban and rural United States since 1900
Road networks represent a key component of human settlements, such as cities, towns, and
villages, that mediate pollution and congestion, as well as economic development. However …
villages, that mediate pollution and congestion, as well as economic development. However …
Anatomy of perturbed traffic networks during urban flooding
Urban flooding disrupts traffic networks, affecting mobility and disrupting residents' access.
Flooding events are predicted to increase due to climate change; therefore, understanding …
Flooding events are predicted to increase due to climate change; therefore, understanding …
Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming
Z Zhang, M Zhang, X Song, Z Li - Geo-spatial Information Science, 2024 - Taylor & Francis
In the pursuit of sustainable urban development, it is imperative to address strategies for
optimizing and harmonizing the configuration of urban spatial layouts, especially in …
optimizing and harmonizing the configuration of urban spatial layouts, especially in …
The Implications of Human Mobility and Accessibility for Transportation and Livable Cities
TW Sanchez, X Ye - Urban Science, 2023 - mdpi.com
Understanding human movement and transportation accessibility has become paramount in
sha** the very fabric of our communities. This exploration has profound implications, not …
sha** the very fabric of our communities. This exploration has profound implications, not …
An Automatic Approach to Extracting Large-Scale Three-Dimensional Road Networks Using Open-Source Data
3D road networks are amongst the indispensable elements of a smart city, which has been
explored in various ways. However, researchers still faces challenges extracting 3D …
explored in various ways. However, researchers still faces challenges extracting 3D …
Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
DD Herrera-Acevedo, D Sierra-Porta - Sustainable Cities and Society, 2025 - Elsevier
In the context of rapid urbanization, efficient and sustainable urban mobility is critical. This
study explores the impact of urban network structure and socio-demographic factors on …
study explores the impact of urban network structure and socio-demographic factors on …
The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
S Sabzekar, A Roudbari, A Dehghani… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Traffic flow imputation aims to estimate missing flow values within a traffic network. While
machine learning methods have been widely applied to this challenge and outperformed …
machine learning methods have been widely applied to this challenge and outperformed …
Assessing road network resilience in disaster areas from a complex network perspective: A real-life case study from China
M Wei, J Xu - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Recently, resilience assessment has become a significant research topic, as it is crucial for
regional disaster mitigation. It is important to identify road network resilience characteristics …
regional disaster mitigation. It is important to identify road network resilience characteristics …
An auxiliary framework to facilitate earthquake search and rescue operations in urban regions
Here, we propose an auxiliary earthquake emergency framework to facilitate a post-
earthquake rapid response. Searching through the rubble of collapsed buildings is …
earthquake rapid response. Searching through the rubble of collapsed buildings is …
A multi-scale network-based topological analysis of urban road networks in highly populated cities
A Kozhabek, WK Chai - … and Planning B: Urban Analytics and …, 2025 - journals.sagepub.com
In this paper, we study urban road infrastructure in densely populated cities. As the subject
of our study, we choose road networks from 35 populous cities worldwide, including China …
of our study, we choose road networks from 35 populous cities worldwide, including China …