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Development of a large-scale transport model with focus on cycling
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-6966-9077
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-9635-5233
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics. Kungliga Tekniska Högskolan.ORCID iD: 0000-0002-3738-9318
Linköping University.
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2020 (English)In: Transportation Research Part A: Policy and Practice, ISSN 0965-8564, E-ISSN 1879-2375, Vol. 134, p. 164-183Article in journal (Refereed) 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. © 2020

Place, publisher, year, edition, pages
Elsevier Ltd , 2020. Vol. 134, p. 164-183
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Transport Systems and Logistics
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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
Available from: 2020-03-09 Created: 2020-03-09 Last updated: 2020-03-09Bibliographically approved

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Liu, ChengxiTapani, AndreasKristoffersson, Ida

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