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http://hdl.handle.net/1942/34106
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DC Field | Value | Language |
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dc.contributor.author | KNAPEN, Luk | - |
dc.contributor.author | ADNAN, Muhammad | - |
dc.contributor.author | KOCHAN, Bruno | - |
dc.contributor.author | BELLEMANS, Tom | - |
dc.contributor.author | van der Tuin, Marieke | - |
dc.contributor.author | Zhou, Han | - |
dc.contributor.author | Snelder, Maaike | - |
dc.date.accessioned | 2021-05-27T13:42:08Z | - |
dc.date.available | 2021-05-27T13:42:08Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-05-20T22:00:03Z | - |
dc.identifier.citation | Procedia Computer Science, Elsevier, p. 428 -437 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/1942/34106 | - |
dc.description.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. | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.subject.other | travel behaviour | - |
dc.subject.other | activity based modelling | - |
dc.subject.other | travel mode | - |
dc.subject.other | MaaS | - |
dc.title | An Activity Based integrated approach to model impacts of parking, hubs and new mobility concepts | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 2021/mar/23-26 | - |
local.bibliographicCitation.conferencename | ANT 2021 | - |
local.bibliographicCitation.conferenceplace | Warsaw, Poland | - |
dc.identifier.epage | 437 | - |
dc.identifier.spage | 428 | - |
dc.identifier.volume | 184 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS | - |
dc.relation.references | [1] Adnan, M., Outay, F., Ahmed, S., Brattich, E., di Sabatino, S., Janssens, D., 2020. Integrated agent-based microsimulation framework for examining impacts of mobility-oriented policies. Personal and Ubiquitous Computing , 1–13. [2] Adnan, M., Pereira, F., Lima Azevedo, C., Basak, K., Lovric, M., Raveau, S., Zhu, Y., Ferreira, J., Zegras, C., Ben-Akiva, M., 2016. SimMo- bility: A Multi-Scale Integrated Agent-based Simulation Platform. [3] Arentze, T.A., Timmermans, H.J.P., 2004. A learning-based transportation oriented simulation system. Transportation Research Part B: Methodological 38, 613 – 633. URL: http://www.sciencedirect.com/science/article/pii/S0191261503000948, doi:https: //doi.org/10.1016/j.trb.2002.10.001. [4] Bekhor, S., Dobler, C., Axhausen, K.W., 2011. Integration of activity-based and agent-based models: case of tel aviv, israel. Transportation research record 2255, 38–47. [5] Bellemans, T., Kochan, B., Janssens, D., Wets, G., Arentze, T., Timmermans, H.J., 2010. Implementation Framework and Development Trajectory of FEATHERS Activity-Based Simulation Platform. Transportation research record 2175, 111–119. [6] Bernal, L.M.M.D., 2016. Basic Parameters for the Design of Intermodal Public Transport Infrastructures. Transportation Research Procedia 14, 499 – 508. URL: http://www.sciencedirect.com/science/article/pii/S2352146516301053, doi:https://doi.org/10. 1016/j.trpro.2016.05.104. [7] Bowman, J.L., Ben-Akiva, M.E., 2001. Activity-based disaggregate travel demand model system with activity schedules. Transportation research part a: policy and practice 35, 1–28. [8] Choupani, A.A., Mamdoohi, A.R., 2016. Population Synthesis Using Iterative Proportional Fitting (IPF): A Review and Future Research. Transportation Research Procedia 17, 223 – 233. URL: http://www.sciencedirect.com/science/article/pii/ S2352146516306925, doi:https://doi.org/10.1016/j.trpro.2016.11.078. [9] Diogu, W.O., 2019. Towards the Implementation of an Activity-based Travel Demand Model for Emerging Cities: Integrating TASHA and MATSim. Ph.D. thesis. [10] Lam, W.H., Li, Z.C., Huang, H.J., Wong, S., 2006. Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities. Transportation Research Part B: Methodological 40, 368–395. [11] Shabanpour, R., Javanmardi, M., Fasihozaman, M., Miralinaghi, M., Mohammadian, A., 2018. Investigating the applicability of adapts activity- based model in air quality analysis. Travel Behaviour and Society 12, 130 – 140. URL: http://www.sciencedirect.com/science/ article/pii/S2214367X16300679, doi:https://doi.org/10.1016/j.tbs.2017.02.004. [12] Zhang, L., Yang, D., Ghader, S., Carrion, C., Xiong, C., Rossi, T.F., Milkovits, M., Mahapatra, S., Barber, C., 2018. An integrated, validated, and applied activity-based dynamic traffic assignment model for the baltimore-washington region. Transportation Research Record 2672, 45–55. [13] Zhou, H., Dorsman, J., Mandjes, M., Snelder, M., . A Tour-Based Multimodal Mode Choice Model for Impact Assessment of New Mobility Concepts and Mobility as a Service. To be published . [14] Zhou, H., Dorsman, J.P., Snelder, M., Mandjes, M., de Romph, E., 2020. Effective determination of MaaS trip modes in activity-based demand modelling. Proceedings of 9th Symposium of the European Association for Research in Transportation (hEART) . [15] Ziemke, D., Nagel, K., Bath, C., 2014. Integrating CEMDAP and MATSim to increase the transferability of transport demand models. Technical Report. TU Berlin, University of Texas at Austin. Berlin. URL: http://hdl.handle.net/2152/26234. [16] Ziemke, D., Nagel, K., Bhat, C., 2015. Integrating CEMDAP and MATSIM to increase the transferability of transport demand models. Transportation Research Record: Journal of the Transportation Research Board 2493, 117–125. doi:10.3141/2493-13. | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.doi | 10.1016/j.procs.2021.03.054 | - |
dc.identifier.isi | 000672800000053 | - |
dc.identifier.eissn | - | |
local.provider.type | CrossRef | - |
local.bibliographicCitation.btitle | Procedia Computer Science | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.fullcitation | KNAPEN, Luk; ADNAN, Muhammad; KOCHAN, Bruno; BELLEMANS, Tom; van der Tuin, Marieke; Zhou, Han & Snelder, Maaike (2021) An Activity Based integrated approach to model impacts of parking, hubs and new mobility concepts. In: Procedia Computer Science, Elsevier, p. 428 -437. | - |
item.contributor | KNAPEN, Luk | - |
item.contributor | ADNAN, Muhammad | - |
item.contributor | KOCHAN, Bruno | - |
item.contributor | BELLEMANS, Tom | - |
item.contributor | van der Tuin, Marieke | - |
item.contributor | Zhou, Han | - |
item.contributor | Snelder, Maaike | - |
item.validation | ecoom 2022 | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1877-0509 | - |
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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