IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v25y2009i1p8-18.html
   My bibliography  Save this article

Induced travel demand: Evidence from a pseudo panel data based structural equations model

Author

Listed:
  • Weis, Claude
  • Axhausen, Kay W.

Abstract

Induced traffic, defined as additional demand generated by improvements in travel conditions, has been a topic of research for many years. While previous studies have focused on specific and localised changes, the research described in this paper deals with the aggregate effects of changed generalised costs of travel on traffic generation: the propensity of participating in out-of-home activities on a given day, the number of trips and journeys conducted, and the resulting total times out-of-home and distances travelled. The generalised cost and accessibility elasticities estimated with a structural equations model for a pseudo panel constructed with the Swiss National Travel surveys since 1974 are surprisingly substantial even after correcting for age, cohort and other socio-demographic effects.

Suggested Citation

  • Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
  • Handle: RePEc:eee:retrec:v:25:y:2009:i:1:p:8-18
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739-8859(09)00032-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Biao, 2007. "The Use of Pseudo Panel Data for Forecasting Car Ownership," MPRA Paper 7086, University Library of Munich, Germany.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    4. Noland, Robert B., 2001. "Relationships between highway capacity and induced vehicle travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 47-72, January.
    5. Frank Primerano & Michael Taylor & Ladda Pitaksringkarn & Peter Tisato, 2008. "Defining and understanding trip chaining behaviour," Transportation, Springer, vol. 35(1), pages 55-72, January.
    6. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    7. Yee, Julie L. & Niemeier, Debbie A., 2000. "Analysis of activity duration using the Puget sound transportation panel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(8), pages 607-624, November.
    8. Patrick DeCorla-Souza & Harry Cohen, 1999. "Estimating induced travel for evaluation of metropolitan highway expansion," Transportation, Springer, vol. 26(3), pages 249-262, August.
    9. Ajay Kumar & David Levinson, 1994. "Specifying, Estimating and Validating a New Trip Generation Model: Case Study in Montgomery County, Maryland," Working Papers 199401, University of Minnesota: Nexus Research Group.
    10. Robert Noland & William Cowart, 2000. "Analysis of Metropolitan Highway Capacity and the growth in vehicle miles of travel," Transportation, Springer, vol. 27(4), pages 363-390, December.
    11. Dargay, Joyce, 2007. "The effect of prices and income on car travel in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 949-960, December.
    12. Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
    13. Dargay, Joyce M., 2002. "Determinants of car ownership in rural and urban areas: a pseudo-panel analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 351-366, September.
    14. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    15. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    16. Fogel,Robert William, 2004. "The Escape from Hunger and Premature Death, 1700–2100," Cambridge Books, Cambridge University Press, number 9780521004886.
    17. Robert Cervero & Mark Hansen, 2002. "Induced Travel Demand and Induced Road Investment: A Simultaneous Equation Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 36(3), pages 469-490, September.
    18. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    19. Goulias, Konstadinos G & Blain, Larry & Kilgren, Neil & Michalowski, Timothy & Murakami, Elaine, 2007. "Catching the Next Big Wave: Are the Observed Behavioral Dynamics of the Baby Boomers Forcing Us to Rethink Regional Travel Demand Models?," University of California Transportation Center, Working Papers qt9f83x03p, University of California Transportation Center.
    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. Kasraian, Dena & Maat, Kees & van Wee, Bert, 2018. "Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades," Journal of Transport Geography, Elsevier, vol. 72(C), pages 228-236.
    2. Yusak O. Susilo & Chengxi Liu & Maria Börjesson, 2019. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Transportation, Springer, vol. 46(3), pages 793-818, June.
    3. Bucsky, Péter & Juhász, Mattias, 2022. "Long-term evidence on induced traffic: A case study on the relationship between road traffic and capacity of Budapest bridges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 244-257.
    4. Yang, Yang & Liu, Qing & Chang, Chia-Hsun, 2023. "China-Europe freight transportation under the first wave of COVID-19 pandemic and government restriction measures," Research in Transportation Economics, Elsevier, vol. 97(C).
    5. Allister Loder & Fabienne Cantner & Andrea Cadavid & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 3 Second wave results," Papers 2208.14902, arXiv.org, revised Sep 2022.
    6. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2021. "Effects of pricing and infrastructure on car ownership: A pseudo-panel-based dynamic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 115-126.
    7. Loder, Allister & Tanner, Reto & Axhausen, Kay W., 2017. "The impact of local work and residential balance on vehicle miles traveled: A new direct approach," Journal of Transport Geography, Elsevier, vol. 64(C), pages 139-149.
    8. Fabienne Cantner & Nico Nachtigall & Lisa S. Hamm & Andrea Cadavid & Lennart Adenaw & Allister Loder & Markus B. Siewert & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results," Papers 2206.10510, arXiv.org, revised Jul 2022.
    9. Susilo, Yusak & Liu, Chengxi & Börjesson, Maria, 2018. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Working papers in Transport Economics 2018:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    10. Siqi Song & Chen-Chieh Feng & Mi Diao, 2020. "Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2527-2546, September.
    11. Lennart Adenaw & David Ziegler & Nico Nachtigall & Felix Gotzler & Allister Loder & Markus B. Siewert & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking," Papers 2211.10328, arXiv.org.
    12. Allister Loder & Fabienne Cantner & Andrea Cadavid & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 4 Third wave results," Papers 2210.10538, arXiv.org.
    13. Allister Loder & Fabienne Cantner & Lennart Adenaw & Markus Siewert & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation," Papers 2206.00396, arXiv.org.
    14. Jahanshahi, Kaveh & Jin, Ying & Williams, Ian, 2015. "Direct and indirect influences on employed adults’ travel in the UK: New insights from the National Travel Survey data 2002–2010," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 288-306.
    15. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    16. Allister Loder & Fabienne Cantner & Lennart Adenaw & Nico Nachtigall & David Ziegler & Felix Gotzler & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2023. "Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study," Papers 2306.08297, arXiv.org.

    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. Siqi Song & Chen-Chieh Feng & Mi Diao, 2020. "Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis," Urban Studies, Urban Studies Journal Limited, vol. 57(12), pages 2527-2546, September.
    2. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    3. Dimitropoulos, Alexandros & Oueslati, Walid & Sintek, Christina, 2018. "The rebound effect in road transport: A meta-analysis of empirical studies," Energy Economics, Elsevier, vol. 75(C), pages 163-179.
    4. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    5. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    6. Yu Ding & Huapu Lu & Lei Zhang, 2016. "An analysis of activity time use on vehicle usage rationed days," Transportation, Springer, vol. 43(1), pages 145-158, January.
    7. Yu Ding & Huapu Lu & Lei Zhang, 2016. "An analysis of activity time use on vehicle usage rationed days," Transportation, Springer, vol. 43(1), pages 145-158, January.
    8. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    9. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    10. repec:dau:papers:123456789/12351 is not listed on IDEAS
    11. Piyapong Jiwattanakulpaisarn & Robert Noland & Daniel Graham & John Polak, 2006. "Highway Infrastructure Investment and Regional Employment Growth: Dynamic Panel Regression Analysis," ERSA conference papers ersa06p207, European Regional Science Association.
    12. Marcela Munizaga & Sergio Jara-Díaz & Javiera Olguín & Jorge Rivera, 2011. "Generating twins to build weekly time use data from multiple single day OD surveys," Transportation, Springer, vol. 38(3), pages 511-524, May.
    13. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    14. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    15. Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.
    16. Arestoff, Florence & Djemai, Elodie, 2016. "Women’s Empowerment Across the Life Cycle and Generations: Evidence from Sub-Saharan Africa," World Development, Elsevier, vol. 87(C), pages 70-87.
    17. Hejun Kang & Darren Scott, 2011. "Impact of different criteria for identifying intra-household interactions: a case study of household time allocation," Transportation, Springer, vol. 38(1), pages 81-99, January.
    18. Kim, Jinwon, 2022. "Does roadwork improve road speed? Evidence from urban freeways in California," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    19. Chen, C & Mokhtarian, Patricia L, 2005. "An Exploratory Study Using an AIDS Model for Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Institute of Transportation Studies, Working Paper Series qt5wk60167, Institute of Transportation Studies, UC Davis.
    20. Pless, Jacquelyn & Fell, Harrison, 2017. "Bribes, bureaucracies, and blackouts: Towards understanding how corruption at the firm level impacts electricity reliability," Resource and Energy Economics, Elsevier, vol. 47(C), pages 36-55.
    21. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.

    More about this item

    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:eee:retrec:v:25:y:2009:i:1:p:8-18. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.