Analysing the effects of perceived travel options and attitudes on multimodality
以长沙为例，研究感知出行选择和态度如何影响多模式出行，发现高多模式出行者常因出行受限而使用多种方式，积极态度可促进多模式出行。
• 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.