Beyond the flexibility narrative of automobility: How regular are car users’ mobility patterns?

• Method and data: Leveraging multi-day GPS data and a mobility experiment to study time-space predictability in activity-travel behaviors. • Stable travel routines across modal groups: Daily activity-travel patterns remain predictable regardless of car dependence. • Minimal behavioral shift from interventions: Pricing and nudging had little impact on altering habitual mobility. • Mixed users exhibit stronger locational stability: Despite multimodal options, they consistently return to the same locations. • Challenging the flexibility narrative: Car dependency does not lead to greater adaptability in travel choices. The widespread reliance on cars for daily mobility is often justified by a perceived need for flexibility, allowing travelers to adjust activities, schedules, and trips in response to everyday demands. However, beyond the dominant narrative of automobility as inherently flexible, to what extent is this flexibility observable in actual travel behavior? This study examines spatial and scheduling regularities in travel behaviors across three user typologies based on car dependency: exclusive car users, moderate car users, and mixed-mode users. Regularity is assessed through location choices and degrees of scheduling freedom. Using multi-day GPS tracking data from the Swiss-wide MOBIS study, we apply a graph-based approach to analyze both spatial and scheduling patterns. Our findings challenge the assumption that car users exhibit greater unpredictability. Instead, mobility regularity persists across modal groups: regular users remain regular, and irregular users remain irregular, regardless of car dependence. Intensive car users do not demonstrate greater locational innovation, while mixed-mode users exhibit more habitual spatial behaviors than exclusive or moderate car users. Moreover, pricing and nudging interventions had limited impact, reinforcing the persistence of established mobility patterns. These results contribute to research on habitual mobility and modal choice, showing that car use does not inherently enable more flexible travel. Rather, the perceived flexibility of automobility appears more ideological than behavioral, sustained by dominant transport narratives rather than observed mobility patterns. These findings suggest that shifting mobility behaviors requires more than financial incentives – calling for integrated policies that also reshape cultural narratives around accessibility and car use.

Authors

Institutions

Publication Details

Journal
Transportation Research Part F Traffic Psychology and Behaviour
Published
2025-06-06
DOI
https://doi.org/10.1016/j.trf.2025.05.034
Citations
2
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
4.35

Funders

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

Beyond the flexibility narrative of automobility: How regular are car users’ mobility patterns?

Marc-Edouard Schultheiss, Vincent Kaufmann
2 citations
Transportation Research Part F Traffic Psychology and Behaviour
Human Mobility and Location-Based Analysis
4.35
article

Beyond the flexibility narrative of automobility: How regular are car users’ mobility patterns?

Marc-Edouard Schultheiss, Vincent Kaufmann
article en
2 citations

Abstract

• Method and data: Leveraging multi-day GPS data and a mobility experiment to study time-space predictability in activity-travel behaviors. • Stable travel routines across modal groups: Daily activity-travel patterns remain predictable regardless of car dependence. • Minimal behavioral shift from interventions: Pricing and nudging had little impact on altering habitual mobility. • Mixed users exhibit stronger locational stability: Despite multimodal options, they consistently return to the same locations. • Challenging the flexibility narrative: Car dependency does not lead to greater adaptability in travel choices. The widespread reliance on cars for daily mobility is often justified by a perceived need for flexibility, allowing travelers to adjust activities, schedules, and trips in response to everyday demands. However, beyond the dominant narrative of automobility as inherently flexible, to what extent is this flexibility observable in actual travel behavior? This study examines spatial and scheduling regularities in travel behaviors across three user typologies based on car dependency: exclusive car users, moderate car users, and mixed-mode users. Regularity is assessed through location choices and degrees of scheduling freedom. Using multi-day GPS tracking data from the Swiss-wide MOBIS study, we apply a graph-based approach to analyze both spatial and scheduling patterns. Our findings challenge the assumption that car users exhibit greater unpredictability. Instead, mobility regularity persists across modal groups: regular users remain regular, and irregular users remain irregular, regardless of car dependence. Intensive car users do not demonstrate greater locational innovation, while mixed-mode users exhibit more habitual spatial behaviors than exclusive or moderate car users. Moreover, pricing and nudging interventions had limited impact, reinforcing the persistence of established mobility patterns. These results contribute to research on habitual mobility and modal choice, showing that car use does not inherently enable more flexible travel. Rather, the perceived flexibility of automobility appears more ideological than behavioral, sustained by dominant transport narratives rather than observed mobility patterns. These findings suggest that shifting mobility behaviors requires more than financial incentives – calling for integrated policies that also reshape cultural narratives around accessibility and car use.

Transportation Research Part F Traffic Psychology and BehaviourVol. 114
École Polytechnique Fédérale de Lausanne (CH)
École Polytechnique Fédérale de Lausanne
Openalex Percentile: Top 7%
Human Mobility and Location-Based Analysis
4.35
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.