Sustainable mobility oases and their relationship with car ownership and mode share

<p dir="ltr">Accessibility describes the ease to reach desired destinations and can be achieved through either mobility- or proximity-focussed policies. While car-centric planning focusses on the former, planning paradigms aiming to provide favourable conditions for sustainable travel highlight the latter. Established metrics to measure accessibility such as distance or travel time fall short of acknowledging the relevance of personal characteristics, time-of-the-day, infrastructure, multi-modality, and popularion distribution to providing feasible alternatives to car usage. Addressing these gaps, this study presents the concepts of Sustainable Mobility Deserts (SMDs) and Sustainable Mobility Oases (SMOs) to interpret accessibility through a multi-modal and inclusive lens. Data from the university market town of Loughborough, UK, is used as a case study to provide detailed insights into multi-modal deficiencies in the supply of sustainable transport options, revealing significantly higher deprivation levels in SMDs compared to SMOs. Based on the findings, the study proposes options to address the identified deficiencies, underscoring the potential of the SMO/SMD concept to inform planning practices, evaluate new developments, prioritise infrastructure investments, and assess the impact of demographic changes.

Authors

Publication Details

Journal
Journal of Transport Geography
Published
2026-05-02
DOI
https://doi.org/10.1016/j.jtrangeo.2026.104680
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable mobility oases and their relationship with car ownership and mode share

Stefanos Tsigdinos, Theodore Chatziioannou, John Weightman, Craig Morton et al.
Journal of Transport Geography
Urban Transport and Accessibility
article

Sustainable mobility oases and their relationship with car ownership and mode share

Stefanos Tsigdinos, Theodore Chatziioannou, John Weightman, Craig Morton, Hans-Heinrich Schumann
article en

Abstract

<p dir="ltr">Accessibility describes the ease to reach desired destinations and can be achieved through either mobility- or proximity-focussed policies. While car-centric planning focusses on the former, planning paradigms aiming to provide favourable conditions for sustainable travel highlight the latter. Established metrics to measure accessibility such as distance or travel time fall short of acknowledging the relevance of personal characteristics, time-of-the-day, infrastructure, multi-modality, and popularion distribution to providing feasible alternatives to car usage. Addressing these gaps, this study presents the concepts of Sustainable Mobility Deserts (SMDs) and Sustainable Mobility Oases (SMOs) to interpret accessibility through a multi-modal and inclusive lens. Data from the university market town of Loughborough, UK, is used as a case study to provide detailed insights into multi-modal deficiencies in the supply of sustainable transport options, revealing significantly higher deprivation levels in SMDs compared to SMOs. Based on the findings, the study proposes options to address the identified deficiencies, underscoring the potential of the SMO/SMD concept to inform planning practices, evaluate new developments, prioritise infrastructure investments, and assess the impact of demographic changes.

Journal of Transport GeographyVol. 134
East Midlands Development Agency
Openalex Percentile: Top 8%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.