Integration of shared transport at a public transport stop: mode choice intentions of different user segments at a mobility hub

To create an integrated transport system that can compete with and reduce private car usage, we need a better understanding of the user characteristics relate to people's intentions use shared public at mobility hub. For this purpose, paper describes results survey surrounding case study Leyenburg, The Hague in which scenario integrating existing stop is proposed. This investigates intention modes multimodal network factors affect intention. As digital technologies become important integration modalities by offering planning payment options, concerns regarding exclusion services are growing. In developed skills measure reflects one's ability perform tasks inherent seen sector. Using ordinal logistics regression analysis, has found higher for people who younger, have high level education skills. addition, having prior experience past year currently using multiple means transportation during trip positively affecting transport. combine bus or tram similar related characteristics, except education. be mainly current usage trip-specific not other characteristics. providers, provide evidence motor scooters bicycles would attractive option young highly-educated users intend