Which street characteristics support cycling for transport among vulnerable groups in traffic: A think-aloud study in virtual reality

Although several health benefits are associated with cycling, this mode of active transport remains underrepresented. Studies have shown that individuals' preferred mode of transport is influenced by the environment in which they travel. While macro-environmental factors shape active transport, micro-environmental aspects offer adaptable solutions. In this paper, we used novel and promising Virtual Reality (VR) technology to investigate which street characteristics regarding safety and attractiveness are important for promoting cycling for transport in three vulnerable groups in traffic, i.e., adolescents, adults with a low SES, and older adults. Participants cycled through two virtual streets based on existing streets in Ghent, Belgium. The think-aloud method was used to collect qualitative data during cycling and afterward participants were asked to fill in a questionnaire about the VR experience, self-reported cycling behavior, and sociodemographic factors. Transcribed files were analyzed using content analysis, revealing 14 crucial street characteristics. Separate cycling paths, clear markings and traffic signs, even surfaces, calm streets, spacious layouts, and aesthetically pleasing environments were found to be important by all target groups. Adolescents and older adults emphasized slower traffic, visibility, wider cycle paths, high curbs, and sudden unexpected actions. Secure bicycle parking was crucial for adolescents, while older adults valued green environments and had mixed opinions on traffic-calming structures. This study underscores the significance of micro-scale street features in promoting active transport among vulnerable groups. Additionally, it demonstrates the potential of VR for inclusive urban design and citizen-based science.