Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection
Published Online:27 Dec 2024https://doi.org/10.1287/mnsc.2022.00775
References
- 117th Congress (2021) Infrastructure Investment and Jobs Act, H.R. 3684. Accessed February 1, 2024, https://www.epw.senate.gov/public/_cache/files/e/a/ea1eb2e4-56bd-45f1-a260-9d6ee951bc96/F8A7C77D69BE09151F210EB4DFE872CD.edw21a09.pdf.Google Scholar
- (1979) Methods for combining modal split and equilibrium assignment models. Transportation Sci. 13(4):292–314.Link, Google Scholar
- (2006) Solving asymmetric variational inequalities via convex optimization. Oper. Res. Lett. 34(5):481–490.Crossref, Google Scholar
- (2001) Inverse optimization. Oper. Res. 49(5):771–783.Link, Google Scholar
- (2021) Using inverse optimization to learn cost functions in generalized Nash games. Preprint, submitted February 24, https://doi.org/10.48550/arXiv.2102.12415.Google Scholar
- (2022) Private vs. pooled transportation: Customer preference and design of green transport policy.Google Scholar
- (2018) Inverse optimization with noisy data. Oper. Res. 66(3):870–892.Link, Google Scholar
- (2017) D Internat. Conf. Knowledge Discovery Data Mining. 1377–1386.Google Scholar
- BBC (2021) London congestion: Cycle lanes blamed as city named most congested (December 7), https://www.bbc.com/news/uk-england-london-59559863.Google Scholar
- (1956) Studies in the Economics of Transportation (Yale University Press, New Haven, CT).Google Scholar
- (2009) Transit network design with allocation of green vehicles: A genetic algorithm approach. Transp. Res. Part C Emerg. Technol. 17(5):475–483.Crossref, Google Scholar
- (1995) Automobile prices in market equilibrium. Econometrica 63(4):841–890.Crossref, Google Scholar
- (2004) Urbanization and growth. J. Urban Econom. 56(1):80–96.Crossref, Google Scholar
- (1997) Nonlinear programming. J. Oper. Res. Soc. 48(3):334.Crossref, Google Scholar
- (2015) Data-driven estimation in equilibrium using inverse optimization. Math. Programming 153(2):595–633.Crossref, Google Scholar
- (2020) Joint frequency-setting and pricing optimization on multimodal transit networks at scale. Transportation Sci. 54(3):839–853.Link, Google Scholar
- (1997) Introduction to Linear Optimization, vol. 6 (Athena Scientific).Google Scholar
- (2012) Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transp. Res. Part A Policy Pract. 46(10):1730–1740.Crossref, Google Scholar
- (1992) On an instance of the inverse shortest paths problem. Math. Programming 53(1):45–61.Crossref, Google Scholar
- (2022) An inverse optimization approach to measuring clinical pathway concordance. Management Sci. 68(3) 1882–1903.Link, Google Scholar
- (2019) Inverse optimization: Closed-form solutions, geometry, and goodness of fit. Management Sci. 65(3) 1115–1135.Link, Google Scholar
- (2021) Inverse optimization: Theory and applications. Preprint, submitted September 8, https://doi.org/10.48550/arXiv.2109.03920.Google Scholar
- Chicago Data Portal (2010) Boundaries - Census tracts - 2010. Accessed February 1, 2024, https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Census-Tracts-2010/5jrd-6zik.Google Scholar
- Chicago Data Portal (2018) Bike routes (Deprecated November 2018). Accessed February 1, 2024, https://data.cityofchicago.org/Transportation/Bike-Routes-Deprecated-November-2018-/pznz-m9ui.Google Scholar
- Chicago Data Portal (2021) Taxi trips. Accessed February 1, 2024, https://data.cityofchicago.org/Transportation/Taxi-Trips/wrvz-psew.Google Scholar
- Chicago Data Portal (2023) Bike routes: City of Chicago: Data portal. Accessed February 1, 2024, https://data.cityofchicago.org/Transportation/Bike-Routes/3w5d-sru8.Google Scholar
- (2020) Chicago streets for cycling plan (2020). Accessed February 1, 2024, https://www.chicago.gov/content/dam/city/depts/cdot/bike/general/ChicagoStreetsforCycling2020.pdf.Google Scholar
- (2021) Chicago community cycling network update. Accessed February 1, 2024, https://www.chicago.gov/content/dam/city/depts/cdot/bike/2021/Chicago\%20Community\%20Cycling_2021-09-21.pdf.Google Scholar
- (2014) Nonlinear inverse optimization for parameter estimation of commodity-vehicle-decoupled freight assignment. Transportation Res. Part E Logist. Transportation Rev. 67 71–91.Crossref, Google Scholar
- (2006) A multimodal transit network design procedure for urban areas. Adv. Transportation Stud. 10:5–20.Google Scholar
- City of Chicago Planning and Policy Division (2003) Chicago central area plan: The physical and economic assessment. Accessed February 1, 2024, https://www.chicago.gov/content/dam/city/depts/zlup/Planning_and_Policy/Publications/Central_Area_Plan_DRAFT/03_Central_Area_Plan_Chapter2a.pdf.Google Scholar
- (2016) Understanding congested travel in urban areas. Nature Commun. 7(1):1–8.Crossref, Google Scholar
- (1993) Chapter 6 Market-share models. Handbooks in Operations Research and Management Science, vol. 5 (Elsevier, Amsterdam), 259–314.Google Scholar
- (1980) Traffic equilibrium and variational inequalities. Transportation Sci. 14(1):42–54.Link, Google Scholar
- (1982) The general multimodal network equilibrium problem with elastic demand. Networks 12(1):57–72.Crossref, Google Scholar
- (1969) The traffic assignment problem for a general network. J. Res. Natl. Bureau Standards B. 73(2):91–118.Google Scholar
- (1979) Formulating and solving the network design problem by decomposition. Transportation Res. Part B Methodol. 13(1):5–17.Crossref, Google Scholar
- (2006) Spatial competition in retail markets: Movie theaters. RAND J. Econom. 37(4):964–982.Crossref, Google Scholar
- (2002) Foundations of Bilevel Programming (Kluwer Academic Publishers, New York).Google Scholar
- Divvy (2021) Download divvy trip history data. Accessed July 1, 2021, https://divvy-tripdata.s3.amazonaws.com/index.html.Google Scholar
- (1975) Urban Travel Demand-a Behavioral Analysis (North-Holland Publishing Company Limited, Oxford, UK).Google Scholar
- DOT NYC (2019) Green wave: A plan for cycling in New York. Accessed February 1, 2024, https://www1.nyc.gov/html/dot/downloads/pdf/bike-safety-plan.pdf.Google Scholar
- (2018) Data-driven inverse optimization with imperfect information. Math. Programming 167(1):191–234.Crossref, Google Scholar
- (2006) Optimal transit route network design problem with variable transit demand: Genetic algorithm approach. J. Transportation Engrg. 132(1):40–51.Crossref, Google Scholar
- (2013) A review of urban transportation network design problems. Eur. J. Oper. Res. 229(2):281–302.Crossref, Google Scholar
- Federal Highway Administration (2006) Federal highway administration university course on bicycle and pedestrian transportation. Accessed February 1, 2024, https://www.fhwa.dot.gov/publications/research/safety/pedbike/05085/chapt15.cfm.Google Scholar
- FHA (2018) HPMS public release. Accessed February 1, 2024, https://www.fhwa.dot.gov/policyinformation/hpms/shapefiles.cfm.Google Scholar
- (1980) Some developments in equilibrium traffic assignment. Transportation Res. Part B Methodological. 14(3):243–255.Crossref, Google Scholar
- (1981) A representation and economic interpretation of a two-level programming problem. J. Oper. Res. Soc. 32(9):783–792.Crossref, Google Scholar
- (2011) The transit network design problem with elastic demand and internalisation of external costs: An application to rail frequency optimisation. Transp. Res. Part C Emerg. Technol. 19(6):1276–1305.Crossref, Google Scholar
- Google Maps (2021) The Directions API overview. Accessed February 1, 2024, https://developers.google.com/maps/documentation/directions/overview.Google Scholar
- (2018) Bicycle infrastructure and traffic congestion: Evidence from dc’s capital bikeshare. J. Environ. Econom. Management 87:72–93.Crossref, Google Scholar
- (1996) Valuation of new goods under perfect and imperfect competition. The Economics of New Goods (University of Chicago Press, Chicago), 207–248.Google Scholar
- (2021) Customer preference and station network in the London bike-share system. Management Sci. 67(3):1392–1412.Link, Google Scholar
- (1998) Solving congestion toll pricing models. Equilibrium and Advanced Transportation Modelling (Springer, Boston), 109–124.Crossref, Google Scholar
- (2003) The mixed logit model: The state of practice. Transportation 30:133–176.Crossref, Google Scholar
- (2017) Iteration complexity analysis of block coordinate descent methods. Math. Programming 163(1–2):85–114.Crossref, Google Scholar
- (2011) A GPS-based bicycle route choice model for San Francisco, California. Transportation Lett. 3(1):63–75.Crossref, Google Scholar
- Illinois Department of Transportation (2018) 2018 Illinois travel statistics.Google Scholar
- (2018) https://idot.illinois.gov/content/dam/soi/en/web/idot/documents/doing-business/manuals-guides-and-handbooks/highways/local-roads-and-streets/local-roads-and-streets-manual.pdf.Google Scholar
- Inrix (2020) Congestion costs each American nearly 100 hours, $1,400 a year. Accessed February 1, 2024, https://inrix.com/press-releases/2019-traffic-scorecard-us/.Google Scholar
- (1969) Asymptotic properties of non-linear least squares estimators. Ann. Math. Statist. 40(2):633–643.Crossref, Google Scholar
- (2014) Bike lanes don’t cause traffic jams if you’re smart about where you build them. Accessed February 1, 2024, https://fivethirtyeight.com/features/bike-lanes-dont-cause-traffic-jams-if-youre-smart-about-where-you-build-them/.Google Scholar
- (2020) Bike-share systems: Accessibility and availability. Management Sci. 66(9):3803–3824.Link, Google Scholar
- (2022) Personal communication. Senior Transportation Planner, City of Vancouver.Google Scholar
- Los Angeles Times (2020) Bicycles have enjoyed a boom during the pandemic. Will it last as car traffic resumes? (June 25), https://www.latimes.com/california/story/2020-06-25/bicycle-business-is-exploding-during-covid-19-will-it-last.Google Scholar
- (2005) Transit network design with variable demand. J. Transportation Engrg. 131(1):1–10.Crossref, Google Scholar
- (2011) Stronger bounds on Braess’s paradox and the maximum latency of selfish routing. SIAM J. Discrete Math. 25(4):1667–1686.Crossref, Google Scholar
- (2019) Bike network design problem with a path-size logit-based equilibrium constraint: Formulation, global optimization, and matheuristic. Transp. Res. Part E Logist. Trans. Rev. 127:284–307.Crossref, Google Scholar
- (2021) Urban bike lane planning with bike trajectories: Models, algorithms, and a real-world case study. Manufacturing Service Oper. Management 24(5):2500–2515.Link, Google Scholar
- (2009) Map-matching for low-sampling-rate GPS trajectories. Proc. 17th ACM SIGSPATIAL Internat. Conf. Adv. Geographic Inform. Systems GIS ‘09 (Association for Computing Machinery, New York), 352–361.Google Scholar
- (1984) Network design and transportation planning: Models and algorithms. Transportation Sci. 18(1):1–55.Link, Google Scholar
- (1984) The use of linear logit models in marketing research. J. Marketing Res. 21(1):20–31.Crossref, Google Scholar
- (2019) Why cities with high bicycling rates are safer for all road users. J. Transportation Health 13:100539.Crossref, Google Scholar
- (2017) Bicycle network design: Model and solution algorithm. Transportation Res. Procedia 27:969–976.Crossref, Google Scholar
- (1973) Conditional logit analysis of qualitative choice behavior. Zarembka P, ed. Frontiers in Econometrics (Academic Press, New York), 105–142.Google Scholar
- (2012) Hybrid evolutionary metaheuristics for concurrent multi-objective design of urban road and public transit networks. Networks Spatial Econom. 12(3):441–480.Crossref, Google Scholar
- (2021) Analysis: Bipartisan infrastructure bill passes with new opportunities for trails, walking and biking. Accessed February 1, 2024, https://www.railstotrails.org/trailblog/2021/november/06/analysis-bipartisan-infrastructure-bill-passes-with-new-opportunities-for-trails-walking-and-biking/.Google Scholar
- (2017) Mode substitution effect of urban cycle tracks: Case study of a downtown street in Toronto, Canada. Internat. J. Sustainable Transportation 11(4):248–256.Crossref, Google Scholar
- (2014) Lessons from the green lanes: Evaluating protected bike lanes in the US. Working paper, NITC, Portland, OR.Google Scholar
- National Household Travel Survey (2017) https://nhts.ornl.gov/.Google Scholar
- (2001) Measuring market power in the ready-to-eat cereal industry. Econometrica 69(2):307–342.Crossref, Google Scholar
- OSM (2021) Download OpenStreetMap data for this region: Illinois. Accessed February 1, 2024, https://download.geofabrik.de/north-america/us/illinois.html.Google Scholar
- (2012) District Department of Transportation bicycle facility evaluation. Accessed February 1, 2024, https://ddot.dc.gov/sites/default/files/dc/sites/ddot/publication/attachments/ddot_bike_evaluation_summary_final_report_part1_0.pdf.Google Scholar
- (2015) The Traffic Assignment Problem: Models and Methods (Dover Publications, Mineola, NY).Google Scholar
- (2004) Route choice models used in the stochastic user equilibrium problem: A review. Transportation Rev. 24(4):437–463.Crossref, Google Scholar
- (2002) How bad is selfish routing? J. ACM 49(2):236–259.Crossref, Google Scholar
- (2021) Route choice of bike share users: Leveraging GPS data to derive choice sets. J. Transport Geography 90:102903.Crossref, Google Scholar
- (2015) Predicting bike usage for New York City’s bike sharing system. Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI Press, Palo Alto, CA).Google Scholar
- (2005) Testing for weak instruments in linear IV regression. Andrews DWK, Stock JH, eds. Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg (Cambridge University Press, Cambridge, UK), 80–108.Crossref, Google Scholar
- (2013) Spatial modeling of bicycle activity at signalized intersections. J. Transport Land Use 6(2):47–58.Crossref, Google Scholar
- (2012) The effectiveness of Stackelberg strategies and tolls for network congestion games. ACM Trans. Algorithms 8(4):1–19.Crossref, Google Scholar
- (2010) Time-dependent discrete network design frameworks considering land use. Comput. Aided Civil Infrastructure Engrg. 25(6):411–426.Google Scholar
- (2015) A multi-convex approach to latency inference and control in traffic equilibria from sparse data. 2015 Amer. Control Conf. (ACC) (IEEE, Piscataway, NJ), 689–695.Google Scholar
- The White House (2021) Fact sheet: The bipartisan infrastructure deal. Accessed February 1, 2024, https://www.whitehouse.gov/briefing-room/statements-releases/2021/11/06/fact-sheet-the-bipartisan-infrastructure-deal/.Google Scholar
- (1969) A multinomial extension of the linear logit model. Internat. Econom. Rev. 10(3):251–259.Crossref, Google Scholar
- (2016) The role of walking and cycling in reducing congestion. Accessed February 1, 2024, https://epub.wupperinst.org/frontdoor/deliver/index/docId/6597/file/6597_Reducing_Congestion.pdf.Google Scholar
- UN (2015) Make cities and human settlements inclusive, safe, resilient and sustainable. Accessed February 1, 2024, https://sdgs.un.org/goals/goal11.Google Scholar
- UN (2019) 2018 revision of world urbanization prospects. https://population.un.org/wup/Publications/Files/WUP2018-Report.pdf.Google Scholar
- United States Bureau of Public Roads (1964) Traffic Assignment Manual for Application with a Large, High Speed Computer, vol. 37 (US Department of Commerce, Bureau of Public Roads, Office of Planning, Urban Planning Division, Washington, DC).Google Scholar
- US Census Bureau (2020) American community survey 5-year data (2009–2019). Accessed February 1, 2024, https://www.census.gov/data/developers/data-sets/acs-5year.html.Google Scholar
- US Census Bureau, Center for Economic Studies (2018) US Census Bureau Center for Economic Studies Publications and reports Page. Accessed February 1, 2024, https://lehd.ces.census.gov/data/.Google Scholar
- US DOT (2009) Assessing the full costs of congestion on surface transportation systems and reducing them through pricing. Accessed February 1, 2024, https://www.transportation.gov/office-policy/transportation-policy/assessing-full-costs-congestion-surface-transportation-systems.Google Scholar
- US DOT (2017) Traffic congestion and reliability: Linking solutions to problems. Accessed February 1, 2024, https://ops.fhwa.dot.gov/congestion_report_04/chapter4.htm.Google Scholar
- (1952) Road paper. some theoretical aspects of road traffic research. Proc. Institution Civil Engrg. 1(3):325–362.Google Scholar
- (2019) Airline timetable development and fleet assignment incorporating passenger choice. Transportation Sci. 54(1):139–163.Link, Google Scholar
- (1981) Asymptotic theory of nonlinear least squares estimation. Ann. Statist. 9(3):501–513.Crossref, Google Scholar
- (1995) An inverse problem of the weighted shortest path problem. Jpn. J. Ind. Appl. Math. 12(1):47–59.Crossref, Google Scholar
- (2013) A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion. SIAM J. Imaging Sci. 6(3):1758–1789.Crossref, Google Scholar
- (2018) Searching for empirical evidence on traffic equilibrium. PLoS One 13(5):e0196997.Crossref, Google Scholar
- (2013) Urban link travel time estimation using large-scale taxi data with partial information. Transportation Res. Part C Emerg. Technol. 33:37–49.Crossref, Google Scholar
- (1998) Inverse problem of minimum cuts. Math. Methods Oper. Res. 47(1):51–58.Crossref, Google Scholar
- (1996) A network flow method for solving some inverse combinatorial optimization problems. Optimization 37(1):59–72.Crossref, Google Scholar
- (1995) A column generation method for inverse shortest path problems. Zeitschrift für Oper. Res. 41(3):347–358.Google Scholar
- (2017) Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks. 2017 IEEE 56th Annual Conf. Decision Control (CDC) (IEEE, Piscataway, NJ), 6295–6300.Google Scholar
- (2018) The price of anarchy in transportation networks: Data-driven evaluation and reduction strategies. Proc. IEEE 106(4):538–553.Google Scholar
- (2015) Learning cellular objectives from fluxes by inverse optimization. 2015 54th IEEE Conf. Decision Control (CDC) (IEEE, Piscataway, NJ), 1271–1276.Google Scholar

