Road-Width-Aware Network Optimisation for Bike Lane Planning

Fuente: arXiv
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Autori principali: Basilone, Riccardo, Bruno, Matteo, Melo, Hygor Piaget Monteiro, Avalle, Michele, Loreto, Vittorio
Natura: Preprint
Pubblicazione: 2025
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author Basilone, Riccardo
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Avalle, Michele
Loreto, Vittorio
author_facet Basilone, Riccardo
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Avalle, Michele
Loreto, Vittorio
contents Active mobility is becoming an essential component of the green transition in modern cities. However, the challenge of designing an efficient network of protected bike lanes without disrupting existing road networks for motorised vehicles remains unsolved. This paper focuses on the specific case of Milan, using a network approach that considers street widths to optimise the placement of dedicated bike lanes at the edges of the network. Unlike other network approaches in this field, our method considers the actual shapes of the streets, which introduces a realistic aspect lacking in current studies. We used these data to simulate cycling networks that maximise connectivity while minimising the impact of bike lane placement on the drivable network. Our mixed simulation strategies optimise for edge betweenness and width. Furthermore, we quantify the impact of dedicated bike lane infrastructure on the existing road network, demonstrating that it is feasible to create highly effective cycling networks with minimal disruption caused by lane width reductions. This paper illustrates how realistic cycling lanes can be simulated using road width data and discusses the challenges and benefits of moving beyond one-dimensional road data in network studies.
format Preprint
id arxiv_https___arxiv_org_abs_2503_22550
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Road-Width-Aware Network Optimisation for Bike Lane Planning
Basilone, Riccardo
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Avalle, Michele
Loreto, Vittorio
Physics and Society
Active mobility is becoming an essential component of the green transition in modern cities. However, the challenge of designing an efficient network of protected bike lanes without disrupting existing road networks for motorised vehicles remains unsolved. This paper focuses on the specific case of Milan, using a network approach that considers street widths to optimise the placement of dedicated bike lanes at the edges of the network. Unlike other network approaches in this field, our method considers the actual shapes of the streets, which introduces a realistic aspect lacking in current studies. We used these data to simulate cycling networks that maximise connectivity while minimising the impact of bike lane placement on the drivable network. Our mixed simulation strategies optimise for edge betweenness and width. Furthermore, we quantify the impact of dedicated bike lane infrastructure on the existing road network, demonstrating that it is feasible to create highly effective cycling networks with minimal disruption caused by lane width reductions. This paper illustrates how realistic cycling lanes can be simulated using road width data and discusses the challenges and benefits of moving beyond one-dimensional road data in network studies.
title Road-Width-Aware Network Optimisation for Bike Lane Planning
topic Physics and Society
url https://arxiv.org/abs/2503.22550