IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp2047.html
   My bibliography  Save this paper

Combining GPS Tracking and Surveys for a Mode Choice Model: Processing Data from a Quasi-Natural Experiment in Germany

Author

Listed:
  • Heike Link
  • Dennis Gaus
  • Neil Murray
  • Maria Fernanda Guajardo Ortega
  • Flavien Gervois
  • Frederik von Waldow
  • Sofia Eigner

Abstract

This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals’ movements and on survey data into the choice-set for a discrete choice model. Several steps of cleaning and merging are described in order to a) obtain a reliable dataset; b) define available modal alternatives with attributes such as distance, duration, and costs; and c) impute the travel purpose for each movement to form. Our main contribution is to show that a systematic analysis of the sample obtained at different stages of data processing is important to make sure that the final sample is unbiased. Furthermore, we contribute by analysing the difference between observed travel time and travel time calculated by routing tools such as Google Maps. We show that the often- employed approach of estimating RP based choice models on the basis of observed travel times for the chosen mode of transport but calculated travel times for the non-chosen alternatives can introduce a structural bias into the sample.

Suggested Citation

  • Heike Link & Dennis Gaus & Neil Murray & Maria Fernanda Guajardo Ortega & Flavien Gervois & Frederik von Waldow & Sofia Eigner, 2023. "Combining GPS Tracking and Surveys for a Mode Choice Model: Processing Data from a Quasi-Natural Experiment in Germany," Discussion Papers of DIW Berlin 2047, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp2047
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.878044.de/dp2047.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. de Grange, Louis & González, Felipe & Muñoz, Juan Carlos & Troncoso, Rodrigo, 2013. "Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of Transantiago," Transport Policy, Elsevier, vol. 29(C), pages 178-185.
    2. Calastri, Chiara & Hess, Stephane & Choudhury, Charisma & Daly, Andrew & Gabrielli, Lorenzo, 2019. "Mode choice with latent availability and consideration: Theory and a case study," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 374-385.
    3. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    4. Link, Heike, 2015. "Is car drivers’ response to congestion charging schemes based on the correct perception of price signals?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 96-109.
    5. Martínez, Francisco & Aguila, Felipe & Hurtubia, Ricardo, 2009. "The constrained multinomial logit: A semi-compensatory choice model," Transportation Research Part B: Methodological, Elsevier, vol. 43(3), pages 365-377, March.
    6. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Verhoef, Erik T., 2014. "Over-reporting vs. overreacting: Commuters’ perceptions of travel times," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 476-494.
    7. Prateek Bansal & Daniel Hörcher & Daniel J. Graham, 2022. "A dynamic choice model to estimate the user cost of crowding with large‐scale transit data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 615-639, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:diw:diwwpp:dp2052 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2023. "Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan & Lüken, Malte & Orquin, Jacob L., 2022. "Seen but not considered? Awareness and consideration in choice analysis," Journal of choice modelling, Elsevier, vol. 45(C).
    3. Ramos, Raúl & Silva, Hugo E., 2023. "Fare evasion in public transport: How does it affect the optimal design and pricing?," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    4. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    5. Tirachini, Alejandro & Proost, Stef, 2021. "Transport taxes and subsidies in developing countries: The effect of income inequality aversion," Economics of Transportation, Elsevier, vol. 25(C).
    6. Wang, Qing & Zhao, Wenjing & Ma, Shoufeng & Schonfeld, Paul M. & Zheng, Yue & Xue, Dabin, 2023. "Effects of a price incentive policy on urban rail transit passengers: A case study in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    7. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    8. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav & Karlínová, Bára, 2019. "Real consequences matter: Why hypothetical biases in the valuation of time persist even in controlled lab experiments," Economics of Transportation, Elsevier, vol. 20(C).
    9. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin‐Yen Tseng, 2015. "Long‐Run Versus Short‐Run Perspectives On Consumer Scheduling: Evidence From A Revealed‐Preference Experiment Among Peak‐Hour Road Commuters," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 303-323, February.
    10. Krčál, Ondřej & Peer, Stefanie & Staněk, Rostislav, 2021. "Can time-inconsistent preferences explain hypothetical biases?," Economics of Transportation, Elsevier, vol. 25(C).
    11. Hiroaki Nishiuchi & Yasuyuki Kobayashi & Tomoyuki Todoroki & Tomoya Kawasaki, 2018. "Impact analysis of reductions in tram services in rural areas in Japan using smart card data," Public Transport, Springer, vol. 10(2), pages 291-309, August.
    12. Dixit, Vinayak & Jian, Sisi & Hassan, Asif & Robson, Edward, 2019. "Eliciting perceptions of travel time risk and exploring its impact on value of time," Transport Policy, Elsevier, vol. 82(C), pages 36-45.
    13. Yacan Wang & Yu Wang & Luyao Xie & Huiyu Zhou, 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
    14. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    15. Marisol Castro & Francisco Martínez & Marcela Munizaga, 2013. "Estimation of a constrained multinomial logit model," Transportation, Springer, vol. 40(3), pages 563-581, May.
    16. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    17. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    18. Martin Besfamille & Nicolás Figueroa & Léon Guzmán, 2023. "Ramsey Pricing Revisited: Natural Monopoly Regulation with Evaders," CESifo Working Paper Series 10732, CESifo.
    19. Francisco J Martinez & Loreto Tamblay & Andrés Weintraub, 2011. "School Locations and Vacancies: A Constrained Logit Equilibrium Model," Environment and Planning A, , vol. 43(8), pages 1853-1874, August.
    20. Mengying Cui & David Levinson, 2021. "Shortest paths, travel costs, and traffic," Environment and Planning B, , vol. 48(4), pages 828-844, May.

    More about this item

    Keywords

    Data processing; travel behaviour; GPS traces; discrete choice models; revealed preferences;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp2047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.