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Development of a large-scale transport model with focus on cycling
Statens väg- och transportforskningsinstitut, Samhälle, miljö och transporter, SAMT, Trafikanalys och logistik, TAL.ORCID-id: 0000-0001-6966-9077
Statens väg- och transportforskningsinstitut, Samhälle, miljö och transporter, SAMT, Trafikanalys och logistik, TAL.ORCID-id: 0000-0001-9635-5233
Statens väg- och transportforskningsinstitut, Samhälle, miljö och transporter, SAMT, Trafikanalys och logistik, TAL. Kungliga Tekniska Högskolan.ORCID-id: 0000-0002-3738-9318
Linköping University.
Vise andre og tillknytning
2020 (engelsk)Inngår i: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 134, s. 164-183Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This study presents a transport model to better model cycling demand. The model improves modelling of cycling in several ways compared to a conventional transport model. First, it uses a detailed bicycle network containing information about existing bicycle infrastructure. Second, generalised cost measures based on different bicycle route choice models are calculated and compared to evaluate how to best represent the impact of bicycle infrastructure in the model. Third, the model utilizes a refined zone system with smaller zones of size 250 m × 250 m. Using these smaller zones, more short-distance tours are included in the model, and these are predominantly walking and cycling trips. Fourth, the model considers cycling also as an access mode choice to public transport. Therefore, the model treats cycling and public transport as both competing and complementary modes. Results show that the model captures detailed individual heterogeneity in cycling demand for different trip purposes. Impacts of bicycle infrastructure, land use characteristics and individual/household socio-demographics are investigated. Detailed individual level travel time and generalised cost are derived for cyclists of different socio-demographics. The result highlights the importance of choosing a good measure of generalised cost, given that different bicycle route choice models result in different effects of bicycle infrastructure. In future applications, the model can be used to evaluate proposed bicycle investments regarding their impact on link flow, bicycle route choice, modal shift and generation of completely new tours. The model can also be a powerful tool in a cost-benefit analysis of bicycle investments.

sted, utgiver, år, opplag, sider
Elsevier, 2020. Vol. 134, s. 164-183
Emneord [en]
Transport network, Bicycle, Mathematical model, Cycling infrastructure, Route (itinerary), Choice, Modal choice, Journey purpose, Land use, Journey time, Cost
HSV kategori
Forskningsprogram
10 Road: Transport, society, policy and planning, 113 Road: Cycling, walking and moped transport
Identifikatorer
URN: urn:nbn:se:vti:diva-15082DOI: 10.1016/j.tra.2020.02.010Scopus ID: 2-s2.0-85079644007OAI: oai:DiVA.org:vti-15082DiVA, id: diva2:1412937
Tilgjengelig fra: 2020-03-09 Laget: 2020-03-09 Sist oppdatert: 2020-04-29bibliografisk kontrollert

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