IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v72y2018icp228-236.html
   My bibliography  Save this article

Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades

Author

Listed:
  • Kasraian, Dena
  • Maat, Kees
  • van Wee, Bert

Abstract

As people require time to adjust their travel behaviour to changes in residential location and transport infrastructure, there is a need for long-term empirical studies quantifying the relationships between locations, individuals and travel behaviour. Such empirical evidence is critical for assessing previous and candidate future land use-transport policies. Existing research however, has mostly investigated travel behaviour during relatively short time periods and for a single transport mode. This paper examines the development of travel behaviour and its socio-demographic and location determinants, using Dutch National Travel Survey data from 1980 to 2010 among other sources, for the Randstad, the Netherlands. A pseudo panel analysis is conducted to investigate the effect of various indicators on average daily distance travelled by train, car and bicycle over three decades. Econometric models including pooled ordinary least squares, fixed and random effects and a hybrid model were tested to identify the best fit. The results indicate that average daily distance travelled rose until the mid-1990s before witnessing a decrease till 2010. Interestingly, half of the Randstad inhabitants have been travelling ≤26 km per day over the past thirty years. Furthermore, as people grow older, they increasingly travel more by train and bicycle. Finally, a rise in suburban inhabitants decreases the average distance travelled by train and increases that of bicycle, while a rise in rural inhabitants encourages higher distances travelled by car.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:72:y:2018:i:c:p:228-236
    DOI: 10.1016/j.jtrangeo.2018.09.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692318300371
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2018.09.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Feng, Jianxi & Dijst, Martin & Wissink, Bart & Prillwitz, Jan, 2017. "Changing travel behaviour in urban China: Evidence from Nanjing 2008–2011," Transport Policy, Elsevier, vol. 53(C), pages 1-10.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    3. Yusak Susilo & Kees Maat, 2007. "The influence of built environment to the trends in commuting journeys in the Netherlands," Transportation, Springer, vol. 34(5), pages 589-609, September.
    4. Bell, Andrew & Jones, Kelvyn, 2015. "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data," Political Science Research and Methods, Cambridge University Press, vol. 3(1), pages 133-153, January.
    5. 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.
    6. 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.
    7. Kees Maat & Harry J.P. Timmermans, 2009. "A causal model relating urban form with daily travel distance through activity/travel decisions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(2), pages 115-134, March.
    8. 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.
    9. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    10. Baum-Snow, Nathaniel & Kahn, Matthew E., 2000. "The effects of new public projects to expand urban rail transit," Journal of Public Economics, Elsevier, vol. 77(2), pages 241-263, August.
    11. Lambert van der Laan, 1998. "Changing Urban Systems: An Empirical Analysis at Two Spatial Levels," Regional Studies, Taylor & Francis Journals, vol. 32(3), pages 235-247.
    12. Dena Kasraian & Kees Maat & Dominic Stead & Bert van Wee, 2016. "Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies," Transport Reviews, Taylor & Francis Journals, vol. 36(6), pages 772-792, November.
    13. Noreen C. McDonald, 2015. "Are Millennials Really the "Go-Nowhere" Generation?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 81(2), pages 90-103, April.
    14. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    15. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    16. Chi-Hong (Patrick) Tsai & Corinne Mulley, 2014. "Identifying Short-Run and Long-Run Public Transport Demand Elasticities in Sydney A Pseudo Panel Approach," Journal of Transport Economics and Policy, University of Bath, vol. 48(2), pages 241-259, May.
    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. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    2. ten Dam, Chris Djie & Kramer, Gert Jan & Ettema, Dick & Koning, Vinzenz, 2022. "Spatial and sociodemographic determinants of energy consumption for personal mobility in the Netherlands," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. R. M. Faber & M. Hamersma & J. Brimaire & M. Kroesen & E. J.E. Molin, 2024. "The relations between working from home and travel behaviour: a panel analysis," Transportation, Springer, vol. 51(6), pages 2173-2197, December.

    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. 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.
    3. 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.
    4. D'Amato, Alessio & Giaccherini, Matilde & Zoli, Mariangela, 2019. "The Role of Information Sources and Providers in Shaping Green Behaviors. Evidence from Europe," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    5. Saule Kemelbayeva, 2020. "Returns to schooling in Kazakhstan: an update using a pseudo-panel approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 437-487, September.
    6. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    7. Bernard, Jean-Thomas & Bolduc, Denis & Yameogo, Nadège-Désirée, 2011. "A pseudo-panel data model of household electricity demand," Resource and Energy Economics, Elsevier, vol. 33(1), pages 315-325, January.
    8. Antonio Cutanda & José M. Labeaga & Juan A. Sanchis-Llopis, 2020. "Aggregation biases in empirical Euler consumption equations: evidence from Spanish data," Empirical Economics, Springer, vol. 58(3), pages 957-977, March.
    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. Gardes, Francois & Langlois, Simon & Richaudeau, Didier, 1996. "Cross-section versus time-series income elasticities of Canadian consumption," Economics Letters, Elsevier, vol. 51(2), pages 169-175, May.
    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. Katsushi S. Imai & Takahiro Sato, 2014. "Recent Changes in Micro-Level Determinants of Fertility in India: Evidence from National Family Health Survey Data," Oxford Development Studies, Taylor & Francis Journals, vol. 42(1), pages 65-85, March.
    13. Sarah Bridges & Simona Mateut, 2009. "Attitudes towards immigration in Europe," Working Papers 2009008, The University of Sheffield, Department of Economics, revised May 2009.
    14. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Koksal, Aycan & Wohlgenant, Michael, 2013. "Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150457, Agricultural and Applied Economics Association.
    16. Blank, Steven C., 2005. "Hedging with off-farm income: implications for production and investment decisions across farm sizes," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 291741, Western Agricultural Economics Association.
    17. Beatriz Muriel & Horacio Vera, 2015. "The Effects of Economic Growth on Earnings in Bolivia," Development Research Working Paper Series 08/2015, Institute for Advanced Development Studies.
    18. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2016. "Monnet’s error?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(86), pages 247-297.
    19. John K Gibson & Grant M Scobie, 2001. "Household Saving Behaviour in New Zealand: A Cohort Analysis," Treasury Working Paper Series 01/18, New Zealand Treasury.
    20. Jiménez, Wilson & Gray-Molina, George & Yáñez, Ernesto & Pérez de Rada, Ernesto, 1999. "Pobreza y activos en Bolivia: ¿Qué rol juega el capital social?," IDB Publications (Working Papers) 6122, Inter-American Development Bank.

    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:jotrge:v:72:y:2018:i:c:p:228-236. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.