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http://hdl.handle.net/1942/34106
Title: | An Activity Based integrated approach to model impacts of parking, hubs and new mobility concepts | Authors: | KNAPEN, Luk ADNAN, Muhammad KOCHAN, Bruno BELLEMANS, Tom van der Tuin, Marieke Zhou, Han Snelder, Maaike |
Editors: | Shakshuki, E. Yasar, A |
Issue Date: | 2021 | Publisher: | Elsevier | Source: | Shakshuki A.; Yasar A. (Ed.). 12th International Conference on Ambient Systems, Networks and technologies (ANT)/ The 4th International Conference on Emerging data industry 4.0 (EDI40) / Affiliated Workshop, Elsevier, p. 428 -437 | Abstract: | Travel demand for the Metropolitan region Rotterdam - The Hague is predicted using a novel tool chain. Non-classical tools are required to cope with the situation where parking supply is reduced, hubs for trip chaining are made operational and people start to use MaaS including new mobility concepts. An activity based travel plan predictor is combined with a dedicated access-egress model and assignment models. Because the activity based model and access-egress model simulate individuals, they can deal with mode switches at hubs while considering constraints with respect to vehicle ownership, mode availability in the tour, locations where vehicles should be returned and mode availability. Parking capacities, hub and new mobility concepts are included in the assignment models to generated level-of-service matrices that are input to the other models. The tool chain setup, the methods applied, the datasets used and first results are discussed. The new integrated activity based approach proved to be better suited to model impacts of parking, hubs and new mobility concepts than the standard aggregated modelling approach. The results for the base year look promising because they closely resemble observed schedules and the elasticities are within the recommended ranges mentioned in literature. | Keywords: | travel behaviour;activity based modelling;travel mode;MaaS | Document URI: | http://hdl.handle.net/1942/34106 | ISSN: | 1877-0509 | DOI: | 10.1016/j.procs.2021.03.054 | ISI #: | 000672800000053 | Rights: | 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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1-s2.0-S1877050921006852-main.pdf | Published version | 482 kB | Adobe PDF | View/Open |
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