Car Dependency in Urban Accessibility

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Campanelli, Bruno, Marzolla, Francesco, Bruno, Matteo, Melo, Hygor Piaget Monteiro, Loreto, Vittorio
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866910094432665600
author Campanelli, Bruno
Marzolla, Francesco
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Loreto, Vittorio
author_facet Campanelli, Bruno
Marzolla, Francesco
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Loreto, Vittorio
contents To achieve net-zero emissions, cities must transition away from reliance on private vehicles. However, car-centric urban growth has transformed the automobile from a convenience tool into a necessity for accessing essential services, creating significant "car dependency". This study introduces a novel Car Dependency Index (CDI) that quantifies the accessibility gap between private and public transport across 18 cities in Europe and North America. Utilising high-resolution geospatial data and numerical simulations, we reveal pronounced spatial inequalities, showing that car dependency remains a primary driver of car ownership even when accounting for income. A ``what-if" simulation of the planned metro expansion in Rome predicts a reduction of approximately 60,000 commuting vehicles, yet highlights that isolated interventions have localised impacts. We conclude that systemic, network-level transit expansions are essential to dismantle car-based systems and foster equitable, sustainable urban mobility. Our framework provides policymakers with an objective, scalable tool to identify viable areas for car-free zones and target infrastructure investments effectively.
format Preprint
id arxiv_https___arxiv_org_abs_2604_01019
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Car Dependency in Urban Accessibility
Campanelli, Bruno
Marzolla, Francesco
Bruno, Matteo
Melo, Hygor Piaget Monteiro
Loreto, Vittorio
Physics and Society
Computers and Society
Data Analysis, Statistics and Probability
Applications
To achieve net-zero emissions, cities must transition away from reliance on private vehicles. However, car-centric urban growth has transformed the automobile from a convenience tool into a necessity for accessing essential services, creating significant "car dependency". This study introduces a novel Car Dependency Index (CDI) that quantifies the accessibility gap between private and public transport across 18 cities in Europe and North America. Utilising high-resolution geospatial data and numerical simulations, we reveal pronounced spatial inequalities, showing that car dependency remains a primary driver of car ownership even when accounting for income. A ``what-if" simulation of the planned metro expansion in Rome predicts a reduction of approximately 60,000 commuting vehicles, yet highlights that isolated interventions have localised impacts. We conclude that systemic, network-level transit expansions are essential to dismantle car-based systems and foster equitable, sustainable urban mobility. Our framework provides policymakers with an objective, scalable tool to identify viable areas for car-free zones and target infrastructure investments effectively.
title Car Dependency in Urban Accessibility
topic Physics and Society
Computers and Society
Data Analysis, Statistics and Probability
Applications
url https://arxiv.org/abs/2604.01019