Operator and user perspectives on fleet mix, parking strategy and drop-off bay size for autonomous transit on demand
Ordoñez Medina, Sergio A.
Fourie, Pieter J.
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
Autonomous vehicles (AVs), but in particular shared autonomous transit on demand (ATOD), promises many efficiencies in future transport provision, and may lead to concomitant changes in urban form. Considering the effects of car-oriented planning on the livability, efficiency and sustainability of 20th century cities, there is growing interest in how we may anticipate the changes that this disruption will bring about. Parking is one of the several vehicle behaviors which may be reformed by the upcoming era of AVs. In the paper, four different parking strategies as well as bay constraints are implemented to assess the influence of possible parking regulations on ATOD. Four parking strategies are explored, including demand-based roaming, parking on the street, parking in depots and mixed parking between parking on the street and in depots. We tested bay sizes of 10, 15, 20, 25, and 30m, for a mix of 3 vehicle sizes: 4-, 10 and 20-seaters. Combinations of different parking strategies and different bay sizes were evaluated from the perspective of travel time, walk distance, vehicle occupancy and vehicle kilometers traveled. Results show that strategies produce radically different utilizations of vehicles to provide the same minimum service level for a particular study area in Singapore. We conclude that urban designers and policy-makers need to consider these as important parameters when designing or retrofitting neighborhoods if they want to maximize potential benefits from this new transportation mode. Show more
External linksSearch via SFX
Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherFCL, Singapore ETH Centre
SubjectAgent-based modeling; MATSim; Parking strategy; Bay size; Fleet mix; Autonomous vehicles; Transit-on-demand; Mobility-on-demand
Organisational unit08058 - Singapore ETH Centre (SEC) / Singapore ETH Centre (SEC)
03521 - Axhausen, Kay W. / Axhausen, Kay W.
02655 - Netzwerk Stadt und Landschaft D-ARCH
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Is previous version of: http://hdl.handle.net/20.500.11850/299600
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