Residents’ preferences regarding shared mobility in car-free zones

the case of Delft’s inner city

Journal Article (2026)
Author(s)

Fatemeh Torabi Kachousangi (TU Delft - Civil Engineering & Geosciences)

Yashar Araghi (TU Delft - Technology, Policy and Management)

Sascha Hoogendoorn-Lanser (TU Delft - Program & Partnership Development)

Niels van Oort (TU Delft - Civil Engineering & Geosciences)

Serge Hoogendoorn (TU Delft - Civil Engineering & Geosciences)

Research Group
Traffic Systems Engineering
DOI related publication
https://doi.org/10.1016/j.trip.2026.102120 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Traffic Systems Engineering
Journal title
Transportation Research Interdisciplinary Perspectives
Volume number
38
Article number
102120
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Abstract

Growing car dependence intensifies congestion and reduces urban liveability. In response, many cities are introducing car-free zones supported by shared mobility to promote sustainable and accessible transport. However, residents’ preferences for shared modes in actively transitioning car-free contexts remain underexplored. This study examines these preferences in the inner city of Delft, a medium-sized Dutch city transforming toward a car-free area under the “Mobility Plan 2040.” A stated choice experiment examines how travel cost, walking time, socio-demographic characteristics, and trip purposes influence the adoption of four shared electric modes, (e-) bikes, scooters, cargo bikes, and cars, while an “opt-out” option captured avoidance behaviour. A Mixed Logit model estimated the Value of Time and quantified preference heterogeneity. Travel cost and walking time are the most significant determinants. The estimated VoT (€0.20 per minute) highlights the importance of reducing access distances. Socio-demographic variation was significant: younger, digitally literate residents prefer micromobility, while those aged 50 + are more likely to opt out. Gender, income, education, and trip purpose further shape preferences, with commuting trips showing lower adoption due to time and reliability constraints. Rather than forecasting demand, we use the experiment as a behavioural diagnostic of an urban transition in progress: the 64% of choices selecting the opt-out indicate that the offered shared modes were frequently not acceptable substitutes for the recalled trip—most strongly when that trip was car-based—highlighting that car-free strategies must combine service design (pricing, fleet proximity) with car-ownership targeted measures for the groups least ready to substitute.