As cities grow and sustainability becomes a key driver of urban policy, active modes of transport such as walking and cycling are increasingly promoted. However, current route planning applications rarely consider factors beyond time and distance. This paper presents the design and evaluation of a mobile application prototype that supports multicriteria route planning for active transport modes. The proposed solution incorporates user-defined weights for dimensions such as safety, comfort, accessibility, and environmental quality. To ensure adaptability and up-to-date information, the study also explores the feasibility of crowdsourcing as a complementary data source. A mixed-method approach was followed, including literature review, user surveys (n=242), interface prototyping, and usability testing with real users. The results demonstrate strong user interest in contributing to data updates, especially when motivated by non-monetary incentives such as gamified rankings. The final prototype was positively evaluated for usability and interface quality. This research confirms the potential of user-centered, crowdsourcing-enhanced route planning to improve the experience of active mobility users and support sustainable urban mobility goals.
Fernandes et al. (Thu,) studied this question.