Agent-Based Approach for (Peri-)Urban Inter-Modality Policies: Application to Real Data from the Lille Metropolis
In: ISSN: 1424-8220 ; Sensors ; https://hal.science/hal-04283834 ; Sensors, 2023, 2023
Online
academicJournal
Zugriff:
International audience ; Transportation authorities have adopted more and more incentive measures (fare-free public transport, construction of park-and-ride facilities, etc.) to reduce the use of private cars by combining them with public transit. However, such measures remain difficult to assess with traditional transport models. This article proposes a different approach: an agent-oriented model. To reproduce realistic applications in an urban context (a metropolis), we investigate the preferences and choices of different agents based on utilities and focus on a modal choice performed through a multinomial logit model. Moreover, we propose some methodological elements to identify the individuals’ profiles using public data (census and travel surveys). We also show that this model, applied in a real case study (Lille, France), is able to reproduce travel behaviors when combining private cars and public transport. Moreover, we focus on the role played by park-and-ride facilities in this context. Thus, the simulation framework makes it possible to better understand individuals’ intermodal travel behavior and assess its development policies.
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Agent-Based Approach for (Peri-)Urban Inter-Modality Policies: Application to Real Data from the Lille Metropolis
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Autor/in / Beteiligte Person: | Diallo, Azise Oumar ; Lozenguez, Guillaume ; Doniec, Arnaud ; Mandiau, René ; Laboratoire Aménagement Économie Transports (LAET) ; Université Lumière - Lyon 2 (UL2)-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS) ; Centre for Digital Systems (CERI SN - IMT Nord Europe) ; Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe) ; Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT) ; Institut Mines-Télécom Paris (IMT) |
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Zeitschrift: | ISSN: 1424-8220 ; Sensors ; https://hal.science/hal-04283834 ; Sensors, 2023, 2023 |
Veröffentlichung: | HAL CCSD ; MDPI, 2023 |
Medientyp: | academicJournal |
DOI: | 10.3390/s23052540 |
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