Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland DJ Reck, H Haitao, S Guidon, KW Axhausen Transportation Research Part C: Emerging Technologies 124, 102947, 2021 | 191* | 2021 |
Mobility as a Service and private car use: evidence from the Sydney MaaS trial DA Hensher, CQ Ho, DJ Reck Transportation Research Part A: Policy and Practice 145, 17-33, 2021 | 144 | 2021 |
Who uses shared micro-mobility services? Empirical evidence from Zurich, Switzerland DJ Reck, KW Axhausen Transportation Research Part D: Transport and Environment 94, 102803, 2021 | 139 | 2021 |
Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility DJ Reck, H Martin, KW Axhausen Transportation Research Part D: Transport and Environment 102, 103134, 2022 | 129 | 2022 |
MaaS Bundle Design DJ Reck, DA Hensher, CQ Ho Transportation Research Part A: Policy and Practice 141, 485-501, 2020 | 70 | 2020 |
Drivers of participant’s choices of monthly mobility bundles: Key behavioural findings from the Sydney Mobility as a Service (MaaS) trial CQ Ho, DA Hensher, DJ Reck Transportation Research Part C: Emerging Technologies 124, 102932, 2021 | 60 | 2021 |
MaaS bundle design and implementation: Lessons from the Sydney MaaS trial CQ Ho, DA Hensher, DJ Reck, S Lorimer, I Lu Transportation Research Part A: Policy and Practice 149, 339-376, 2021 | 50 | 2021 |
Expanding a(n) (electric) bicycle-sharing system to a new city: Prediction of demand with spatial regression and random forests S Guidon, DJ Reck, KW Axhausen Journal of Transport Geography 84, 102692, 2020 | 46 | 2020 |
Subsidized ridesourcing for the first/last mile: How valuable for whom? DJ Reck, KW Axhausen European Journal of Transport and Infrastructure Research 20 (4), 59-77, 2020 | 39* | 2020 |
How much of which mode? Using revealed preference data to design mobility as a service plans DJ Reck, KW Axhausen Transportation Research Record 2674 (7), 494-503, 2020 | 29* | 2020 |
Multimodal transportation plans: Empirical evidence on uptake, usage and behavioral implications from the Augsburg MaaS trial DJ Reck, KW Axhausen 100th Annual Meeting of the Transportation Research Board (TRB), 2021 | 19* | 2021 |
Modelling shared e-scooters in Louisville, Kentucky: A spatial regression approach DJ Reck, S Guidon, KW Axhausen 99th Annual Meeting of the Transportation Research Board (TRB), 2020 | 19* | 2020 |
Graph-based mobility profiling H Martin, N Wiedemann, DJ Reck, M Raubal Computers, Environment and Urban Systems 100, 101910, 2023 | 9 | 2023 |
Conserved quantities in human mobility: From locations to trips Y Hong, H Martin, Y Xin, D Bucher, DJ Reck, KW Axhausen, M Raubal Transportation research part C: emerging technologies 146, 103979, 2023 | 8 | 2023 |
How does transport supply and mobility behaviour impact preferences for MaaS bundles? A multi-city approach K Krauss, DJ Reck, KW Axhausen Transportation Research Part C: Emerging Technologies 147, 104013, 2023 | 7 | 2023 |
The Sydney Mobility as a Service (MaaS) Trial DA Hensher, CQ Ho, DJ Reck, G Smith, S Lorimer, I Lu Design, Implementation, Lessons and the Future. Report, The University of …, 2020 | 6* | 2020 |
ETH Mobility Initiative Project MI-01-19 Empirical use and Impact analysis of MaaS: Ergebnisse H Martin, DJ Reck, KW Axhausen, M Raubal ETH Zurich, 2021 | 5 | 2021 |
Modelling travel behaviour with shared micro-mobility services and exploring their environmental implications DJ Reck ETH Zurich, 2021 | 5 | 2021 |
Using Information and Communication Technologies to facilitate mobility behaviour change and enable Mobility as a Service H Martin, DJ Reck, M Raubal GI_Forum Journal for Geographic Information Science 9 (1), 187-193, 2021 | 4 | 2021 |
Autonomous taxi operations: Market structure, competitive dynamics and regulatory implications DJ Reck, KW Axhausen 98th Annual Meeting of the Transportation Research Board (TRB), 2019 | 2 | 2019 |