Complex-network-based traffic network analysis and dynamics: A comprehensive review
M Zhang, T Huang, Z Guo, Z He - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
A traffic network can be viewed as a geometric graph with the nodes representing traffic
infrastructures and the edges standing for the links between these nodes. In order to reduce …
infrastructures and the edges standing for the links between these nodes. In order to reduce …
Application of complex networks theory in urban traffic network researches
Complex network theory is a multidisciplinary research direction of complexity science which
has experienced a rapid surge of interest over the last two decades. Its applications in land …
has experienced a rapid surge of interest over the last two decades. Its applications in land …
[HTML][HTML] A survey of community detection methods in multilayer networks
X Huang, D Chen, T Ren, D Wang - Data Mining and Knowledge …, 2021 - Springer
Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …
Multimodal urban mobility and multilayer transport networks
L Alessandretti, LG Natera Orozco… - … and Planning B …, 2023 - journals.sagepub.com
Transportation networks, from bicycle paths to buses and railways, are the backbone of
urban mobility. In large metropolitan areas, the integration of different transport modes has …
urban mobility. In large metropolitan areas, the integration of different transport modes has …
[HTML][HTML] Assessing robustness in multimodal transportation systems: a case study in Lisbon
JT Aparicio, E Arsenio, R Henriques - European transport research review, 2022 - Springer
Introduction Worldwide public transport systems are exposed to disruptions caused by
malfunctions, accidents, maintenance, reduced fleet, and disasters, compromising mobility …
malfunctions, accidents, maintenance, reduced fleet, and disasters, compromising mobility …
A data-driven complex network approach for planning sustainable and inclusive urban mobility hubs and services
New mobility services that facilitate multimodal options are important for strategic urban
transport systems planning. Part of this strategy is municipal investment in urban mobility …
transport systems planning. Part of this strategy is municipal investment in urban mobility …
Effects of road network structure on the performance of urban traffic systems
Urban traffic system is important for the convenience and efficiency of people's daily life. The
understanding of inter-relations between urban street network and traffic flow can help the …
understanding of inter-relations between urban street network and traffic flow can help the …
The Complex Network Theory‐Based Urban Land‐Use and Transport Interaction Studies
R Ding - Complexity, 2019 - Wiley Online Library
The research on complex networks offers novel insight into the analysis of complex urban
systems. The objective of this article is to provide a review of complex network theory in …
systems. The objective of this article is to provide a review of complex network theory in …
Properties of Chinese railway network: Multilayer structures based on timetable data
H Zhang, H Cui, W Wang, W Song - Physica A: Statistical Mechanics and Its …, 2020 - Elsevier
Railway is a main transportation mode for medium-distance and long-distance travel in
China, which provides various services to satisfy different type of traffic demand. Recent …
China, which provides various services to satisfy different type of traffic demand. Recent …
A multilayer mobility network approach to inferring urban structures using shared mobility and taxi data
Developing data‐driven approaches to understanding urban structures is important for
urban planning. However, it is still challenging to combine different transport datasets into a …
urban planning. However, it is still challenging to combine different transport datasets into a …