Bikeability and the induced demand for cycling

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Standard

Bikeability and the induced demand for cycling. / Fosgerau, Mogens; Łukawska, Mirosława; Paulsen, Mads; Rasmussen, Thomas Kjær.

I: Proceedings of the National Academy of Sciences of the United States of America, Bind 120, Nr. 16, 18.04.2023, s. e2220515120.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Fosgerau, M, Łukawska, M, Paulsen, M & Rasmussen, TK 2023, 'Bikeability and the induced demand for cycling', Proceedings of the National Academy of Sciences of the United States of America, bind 120, nr. 16, s. e2220515120. https://doi.org/10.1073/pnas.2220515120

APA

Fosgerau, M., Łukawska, M., Paulsen, M., & Rasmussen, T. K. (2023). Bikeability and the induced demand for cycling. Proceedings of the National Academy of Sciences of the United States of America, 120(16), e2220515120. https://doi.org/10.1073/pnas.2220515120

Vancouver

Fosgerau M, Łukawska M, Paulsen M, Rasmussen TK. Bikeability and the induced demand for cycling. Proceedings of the National Academy of Sciences of the United States of America. 2023 apr. 18;120(16):e2220515120. https://doi.org/10.1073/pnas.2220515120

Author

Fosgerau, Mogens ; Łukawska, Mirosława ; Paulsen, Mads ; Rasmussen, Thomas Kjær. / Bikeability and the induced demand for cycling. I: Proceedings of the National Academy of Sciences of the United States of America. 2023 ; Bind 120, Nr. 16. s. e2220515120.

Bibtex

@article{9229a3ed1ac249bda7796eccafd3f77d,
title = "Bikeability and the induced demand for cycling",
abstract = "To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of GPS trajectories of bicycle trips in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a model for bicyclists' choice of route from origin to destination that takes the complete network into account. This enables us to determine bicyclists' preferences for a range of infrastructure and land-use types. We use the estimated preferences to compute a generalized cost of bicycle travel, which we correlate with the number of bicycle trips across a large number of origin-destination pairs. Simulations suggest that the extensive Copenhagen bicycle lane network has caused the number of bicycle trips and the bicycle kilometers traveled to increase by 60% and 90%, respectively, compared with a counterfactual without the bicycle lane network. This translates into an annual benefit of €0.4M per km of bicycle lane owing to changes in generalized travel cost, health, and accidents. Our results thus strongly support the provision of bicycle infrastructure.",
author = "Mogens Fosgerau and Miros{\l}awa {\L}ukawska and Mads Paulsen and Rasmussen, {Thomas Kj{\ae}r}",
year = "2023",
month = apr,
day = "18",
doi = "10.1073/pnas.2220515120",
language = "English",
volume = "120",
pages = "e2220515120",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "The National Academy of Sciences of the United States of America",
number = "16",

}

RIS

TY - JOUR

T1 - Bikeability and the induced demand for cycling

AU - Fosgerau, Mogens

AU - Łukawska, Mirosława

AU - Paulsen, Mads

AU - Rasmussen, Thomas Kjær

PY - 2023/4/18

Y1 - 2023/4/18

N2 - To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of GPS trajectories of bicycle trips in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a model for bicyclists' choice of route from origin to destination that takes the complete network into account. This enables us to determine bicyclists' preferences for a range of infrastructure and land-use types. We use the estimated preferences to compute a generalized cost of bicycle travel, which we correlate with the number of bicycle trips across a large number of origin-destination pairs. Simulations suggest that the extensive Copenhagen bicycle lane network has caused the number of bicycle trips and the bicycle kilometers traveled to increase by 60% and 90%, respectively, compared with a counterfactual without the bicycle lane network. This translates into an annual benefit of €0.4M per km of bicycle lane owing to changes in generalized travel cost, health, and accidents. Our results thus strongly support the provision of bicycle infrastructure.

AB - To what extent is the volume of urban bicycle traffic affected by the provision of bicycle infrastructure? In this study, we exploit a large dataset of GPS trajectories of bicycle trips in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a model for bicyclists' choice of route from origin to destination that takes the complete network into account. This enables us to determine bicyclists' preferences for a range of infrastructure and land-use types. We use the estimated preferences to compute a generalized cost of bicycle travel, which we correlate with the number of bicycle trips across a large number of origin-destination pairs. Simulations suggest that the extensive Copenhagen bicycle lane network has caused the number of bicycle trips and the bicycle kilometers traveled to increase by 60% and 90%, respectively, compared with a counterfactual without the bicycle lane network. This translates into an annual benefit of €0.4M per km of bicycle lane owing to changes in generalized travel cost, health, and accidents. Our results thus strongly support the provision of bicycle infrastructure.

U2 - 10.1073/pnas.2220515120

DO - 10.1073/pnas.2220515120

M3 - Journal article

C2 - 37040413

VL - 120

SP - e2220515120

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 16

ER -

ID: 342347933