Potential of on‑demand services for urban travel

The files here are asscoiated with the following paper:
Geržinič, N., van Oort, N., Hoogendoorn-Lanser, S. et al. Potential of on-demand services for urban travel. Transportation (2022). https://doi.org/10.1007/s11116-022-10278-9

The dataset contains sensitive personal information and could therefore not be included here. A sample dataset with 10 rows of data is included as an example. Note that the values shown are random and do not correspond to any particular respondent.

The original dataset includes the responses of 1,063 respondents of the Dutch Mobility Panel, each of which answered 12 hypothetical scenarios on mode choice in an urban area. 6 scenarios were meant for a commute trip (work/education), whith the other 6 for a leisure trip purpose (no time restrictions). Respondents could choose among 4 different modes: bike, car, public transport (bus, tram, metro) and FLEX (on-demand service). In addition, the dataset contains information on the respondents' socio-demographic characteristics and their attitudes towards and familiarity with sharing-economy services.

Here, you will find:
example_dataset.csv     --> Example dataset (10 rows)
final_choice_model.py   --> Biogeme Pandas code used to estimate the model
model_outcome.html      --> Biogeme output file of the final model
survey_transcript.docx  --> Transcript of the survey in both Dutch and English, with example graphics