Analysing the effects of perceived travel options and attitudes on multimodality

• Population groups with travel captivity are likely to be high-level multimodal travellers. • The highest income groups often have the lowest level of multimodality. • People with sufficient travel options may use single modality for their mandatory trips. • Positive attitudes towards multimodality may help to promote multimodal travel. • Rail travellers who lack good accessibility are adversely affected by travel captivity. People have different types of multimodal travel patterns. However, most studies exploring people’s multimodal travel patterns generally do not distinguish between trip purposes. In addition, limited studies have explored how people’s travel options (i.e. travel constraints and opportunities) influence their multimodal travel choices. Only a few have investigated how attitudes and perceived travel options shape multimodality travel patterns. Therefore, this study aims to explore the impacts of people’s perceived travel options and attitudes on multimodality across mandatory and discretionary trips using Changsha as a case study. Factor analysis and binary logistic regression are employed to explore the association with different multimodal groups. The results show that high-level multimodality groups tend to have limited options, using multimodal trips to overcome travel constraints and meet their travel demands. Higher income levels are not an indicator of higher multimodality; instead, people are affected more by other personal characteristics and contextual factors. Positive attitudes towards multimodality can promote multimodal travel even in the absence of sufficient transport supply and convenient accessibility. Therefore, improving access to public transport, transfer connections and ticketing policies can offer ways of helping those with various travel captivities. Our study provides recommendations for policymakers to develop transport policies that target specific population groups and enhance their multimodal mobility.

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Publication Details

Journal
Transportation Research Part A Policy and Practice
Published
2025-11-16
DOI
https://doi.org/10.1016/j.tra.2025.104757
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Analysing the effects of perceived travel options and attitudes on multimodality

Transportation Research Part A Policy and Practice
Transportation Planning and Optimization
article

Analysing the effects of perceived travel options and attitudes on multimodality

article en

Abstract

• Population groups with travel captivity are likely to be high-level multimodal travellers. • The highest income groups often have the lowest level of multimodality. • People with sufficient travel options may use single modality for their mandatory trips. • Positive attitudes towards multimodality may help to promote multimodal travel. • Rail travellers who lack good accessibility are adversely affected by travel captivity. People have different types of multimodal travel patterns. However, most studies exploring people’s multimodal travel patterns generally do not distinguish between trip purposes. In addition, limited studies have explored how people’s travel options (i.e. travel constraints and opportunities) influence their multimodal travel choices. Only a few have investigated how attitudes and perceived travel options shape multimodality travel patterns. Therefore, this study aims to explore the impacts of people’s perceived travel options and attitudes on multimodality across mandatory and discretionary trips using Changsha as a case study. Factor analysis and binary logistic regression are employed to explore the association with different multimodal groups. The results show that high-level multimodality groups tend to have limited options, using multimodal trips to overcome travel constraints and meet their travel demands. Higher income levels are not an indicator of higher multimodality; instead, people are affected more by other personal characteristics and contextual factors. Positive attitudes towards multimodality can promote multimodal travel even in the absence of sufficient transport supply and convenient accessibility. Therefore, improving access to public transport, transfer connections and ticketing policies can offer ways of helping those with various travel captivities. Our study provides recommendations for policymakers to develop transport policies that target specific population groups and enhance their multimodal mobility.

Transportation Research Part A Policy and PracticeVol. 203
Hunan University (CN), University College London (GB)
No poverty
Openalex Percentile: Top 39%
Transportation Planning and Optimization
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