Mogens Fosgerau, Miroslawa Lukawska, Mads Paulsen, Thomas Kjær Rasmussen
arXiv 5 Oct 2022 · Econometrics · publishedProceedings of the National Academy of Sciences (2023) · 67 citations (OpenAlex)
arXiv:2210.02504 · PDF · DOI · OpenAlex · Extracted main text
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 observed bicycle trajectories in combination with a fine-grained representation of the Copenhagen bicycle-relevant network. We apply a novel 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 subjective 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 EUR 0.4M per km of bicycle lane owing to changes in subjective travel cost, health, and accidents. Our results thus strongly support the provision of bicycle infrastructure.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Fosgerau, Mogens, Paulsen, Mads, Rasmussen, Thomas Kjaer (2022) A perturbed utility route choice model self | 0.830 | 7 | 5 | 57% |
| 2 | (2021) Cyclist trajectory data | 0.737 | 3 | 3 | 67% |
| 3 | (2022) Transport Economic Unit Prices vers. 2.0 | 0.644 | 4 | 2 | 50% |
| 4 | Aldred, Rachel (2019) Built Environment Interventions to Increase Active Travel: a Critical Review and Discussion | 0.511 | 3 | 2 | 33% |
| 5 | Kraus, Sebastian, Koch, Nicolas (2021) Provisional COVID-19 infrastructure induces large, rapid increases in cycling | 0.511 | 3 | 2 | 33% |
| 6 | Pucher, John, Dill, Jennifer, Handy, Susan (2010) Infrastructure, programs, and policies to increase bicycling: An international review | 0.511 | 3 | 2 | 33% |
| 7 | Buehler, Ralph, Dill, Jennifer (2016) Bikeway networks: A review of effects on cycling | 0.511 | 3 | 2 | 33% |
| 8 | Allen, Roy, Rehbeck, John (2019) Identification With Additively Separable Heterogeneity | 0.511 | 2 | 2 | 50% |
| 9 | Fudenberg, Drew, Iijima, Ryota, Strzalecki, Tomasz (2015) Stochastic Choice and Revealed Perturbed Utility | 0.511 | 2 | 2 | 50% |
| 10 | Haunert, Jan Henrik, Budig, Benedikt (2012) An algorithm for map matching given incomplete road data | 0.511 | 2 | 2 | 50% |
Showing the top 10 of 73 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Sensitivity analysis of the perturbed utility stochastic traffic equilibrium | 0.737 | 3 | 2 |