Daniel Jan Reck


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Reck

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Daniel Jan

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0000-0001-9969-1400

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Publications 1 - 10 of 54
  • Subsidized ridesourcing for the first/last mile
    Item type: Journal Article
    Reck, Daniel Jan; Axhausen, Kay W. (2020)
    European Journal of Transport and Infrastructure Research
    The first/last mile is a long known deterrent to public transportation use, yet difficult to solve with fixed route transit. Many transit agencies are exploring partnerships with ridesourcing companies to offer subsidized feeder services. Ridership, however, has been surprisingly low. We explore two conceptual explanations. First, ridesourcing fares are found to exceed travel time savings for all distances below 1 mile and annual household incomes below USD 30,000 (i.e., the majority of US bus-using households). Subsidies are thus necessary, yet common schemes (flat fees, flat value or percentage discounts) are inequitable as they particularly benefit high-income households (thus miss their main target group). Second, the disutility of the additional transfer (‘transfer penalty’) and wait times exceed travel time savings assuming modest values for all distances below 0.45 miles. Subsidized ridesourcing for the first/last mile is thus not the panacea often portrayed, particularly not for short first/last miles. Where first/last miles are longer, investments in first/last mile services only might miss their purpose as the private car often remains the faster, more convenient and cheaper option. A much more holistic set of policy changes is hence required. Where transit agencies decide to proceed with first/last mile subsidies, they are advised to integrate them into existing fares (offering first/last mile rides for free) as this is the most equitable approach.
  • Analyse des Angebots von Catch a Car in Genf
    Item type: Working Paper
    Reck, Daniel Jan; Schatzmann, Thomas; Stojanovic, Dragana; et al. (2020)
    Arbeitsberichte Verkehrs- und Raumplanung
    Catch a Car wurde im August 2014 als erstes free-floating Carsharing-Angebot in der Schweiz lanciert. Mittels einer wissenschaftlichen Begleitstudie hat das Institut für Verkehrsplanung und Transportsysteme der ETH Zürich seither die Auswirkungen des free-floating Carsharing auf das Verkehrsverhalten seiner Mitglieder und auf die städtische Verkehrssysteme in Basel untersucht. Das Hinzuziehen des zweiten Standorts in Genf in 2018 ermöglichte erste Untersuchungen, inwieweit regionale Unterschiede in den Nutzgruppen, Nutzungsmustern und verkehrlichen Wirkungen des Angebots auftreten. Dieser Bericht fasst die Erkenntnisse der zweiten Erhebungswelle in Genf zusammen und vergleicht sie mit den Ergebnissen der früheren Studie.
  • Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility
    Item type: Journal Article
    Reck, Daniel Jan; Martin, Henry; Axhausen, Kay W. (2022)
    Transportation Research Part D: Transport and Environment
    Shared micro-mobility services are rapidly expanding yet little is known about travel behaviour. Understanding mode choice, in particular, is quintessential for incorporating micro-mobility into transport simulations in order to enable effective transport planning. We contribute by collecting a large dataset with matching GPS tracks, booking data and survey data for more than 500 travellers, and by estimating a first choice model between eight transport modes, including shared e-scooters, shared e-bikes, personal e-scooters and personal e-bikes. We find that trip distance, precipitation and access distance are fundamental to micro-mobility mode choice. Substitution patterns reveal that personal e-scooters and e-bikes emit less CO2 than the transport modes they replace, while shared e-scooters and e-bikes emit more CO2 than the transport modes they replace. Our results enable researchers and planners to test the effectiveness of policy interventions through transport simulations. Service providers can use our findings on access distances to optimize vehicle repositioning.
  • Ridesourcing for the first/last mile
    Item type: Conference Paper
    Reck, Daniel Jan; Axhausen, Kay W. (2019)
    International Scientific Conference on Mobility and Transport (mobil.TUM 2019) Conference Proceedings
  • Graph-based mobility profiling
    Item type: Journal Article
    Martin, Henry; Wiedemann, Nina; Reck, Daniel Jan; et al. (2023)
    Computers, Environment and Urban Systems
    The decarbonization of the transport system requires a better understanding of human mobility behavior to optimally plan and evaluate sustainable transport options (such as Mobility as a Service). Current analysis frameworks often rely on specific datasets or data-specific assumptions and hence are difficult to generalize to other datasets or studies. In this work, we present a workflow to identify groups of users with similar mobility behavior that appear across several datasets. Our method does not depend on a specific clustering algorithm, is robust against the choice of hyperparameters, does not require specific labels in the dataset, and is not limited to specific types of tracking data. This allows the extraction of stable mobility profiles based on several small and inhomogeneous tracking data sets. Our method consists of the following main steps: Representing individual mobility using location-based graphs; extraction of graph-based mobility features; clustering using different hyperparameter configurations; group identification using statistical testing. The method is applied to six tracking datasets (Geolife, Green Class 1 + 2, yumuv and two Foursquare datasets) with a total of 1070 users that visit about 3′000’000 different locations with a total tracking duration of over 200′000 days. We can identify and interpret five mobility profiles that appear in all datasets and show how these profiles can be used to analyze longitudinal and cross-sectional tracking studies.
  • Autonomous taxi operations
    Item type: Conference Paper
    Reck, Daniel Jan; Axhausen, Kay W. (2019)
    2019 TRB Annual Meeting Online
  • How does transport supply and mobility behaviour impact preferences for MaaS bundles?
    Item type: Other Conference Item
    Krauss, Konstantin; Reck, Daniel Jan; Axhausen, Kay W. (2021)
  • Understanding long-term multimodal mobility demand to inform MaaS service bundling
    Item type: Conference Paper
    Reck, Daniel Jan; Axhausen, Kay W. (2019)
    The integration of novel, shared mobility services within existing public transport (Mobility as a Service, MaaS) could offer an alternative to private car ownership and thereby improve travel sustainability. Research on willingness to pay and potential uptake of recurring MaaS packages has commenced with stated-preference experiments yet it remains unclear on a central question: how much to include of which mode? Using longitudinal multimodal revealed-preference data, we construct a MaaS scenario where carstages are substituted with shared modes based on generalized costs. We find that PT season ticket viability for students increases substantially (+13pp.) with PT substituting most previous car stages (~76%). In contrast, car-and bikesharing use, despite their potential to substitute the remaining car stages, remains too infrequent to include as a recurring credit in MaaS packages. This research therefore challenges the idea of all-inclusive mobility flatrates for car-/bikesharing, showing that in this case pay-as-you-go is economically more sensible for consumers.
  • Modelling Travel Behaviour with Shared Micro-Mobility Services and Exploring their Environmental Implications
    Item type: Doctoral Thesis
    Reck, Daniel Jan (2021)
    The convergence of recent developments in electrification, connectivity and the sharing economy has enabled several new mobility services to emerge. Among them, shared micro-mobility services (e.g., e-scooters, e-bikes) have seen particularly fast international rollouts. Given their rapid diffusion, effective regulation and integrated transport planning is pertinent. City administrations are further asking how shared micro-mobility services can contribute to increasingly stringent CO2 reduction targets. Advances in these directions are hindered by our limited understanding of travel behaviour. In particular, we do not yet comprehensively understand who uses shared micro-mobility services and how users choose between these and more established modes (e.g., public transport, private cars). This thesis contributes by offering some of the first empirical evidence on users, mode choice, substitution patterns and net CO2 emissions of shared micro-mobility services. It goes beyond previous work by presenting comprehensive evidence for several different shared micro-mobility services in a single city, by estimating the first mode choice models between them based on revealed preference data, and by demonstrating how to use emerging data sources such as vehicle and human GPS traces to estimate such models at very high spatiotemporal resolutions. For Zurich, Switzerland, this dissertation finds that users of shared micro-mobility services tend to be young, university-educated males with full-time employment living in affluent households without children or cars. Mode choice is strongly influenced by trip distance, precipitation and access distance. Shared e-scooters and e-bikes mostly replace walking, cycling and public transport. Hence, they emit more CO2 than the transport mode mix they replace. Personal e-scooters and e-bikes replace car-based modes substantially more often. Hence, they emit less CO2 than the transport mode mix they replace and contribute to making urban transport more sustainable. These results have implications for research, policy and practice. First, they build the foundation for incorporating shared micro-mobility services into larger transport simulations. This, in turn, allows estimation of their impact at scale and enables testing the effectiveness of policy interventions. Second, this dissertation presents nuanced empirical evidence for city administrations that aim to evaluate how shared micro-mobility services contribute to transport-related CO2 emissions. The third implication of this research is to elucidate promising avenues for service providers to optimize their fleet operations.
  • Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility
    Item type: Conference Paper
    Reck, Daniel Jan; Martin, Henry; Axhausen, Kay W. (2021)
    Shared micro-mobility services are rapidly expanding yet little is known about travel behaviour. Understanding mode choice, in particular, is quintessential for incorporating micro-mobility into transport simulations in order to enable effective transport planning. We contribute by collecting a large dataset with matching GPS tracks, booking data and survey data for more than 500 travellers, and by estimating a first choice model between eight transport modes, including shared e-scooters, shared e-bikes, personal e-scooters and personal e-bikes. We find that trip distance, precipitation and access distance are fundamental to micro-mobility mode choice. Substitution patterns reveal that personal e-scooters and e-bikes emit less CO2 than the transport modes they replace, while shared e-scooters and e-bikes emit more CO2 than the transport modes they replace. Our results enable researchers and planners to test the effectiveness of policy interventions through transport simulations. Service providers can use our findings on access distances to optimize vehicle repositioning.
Publications 1 - 10 of 54