IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v18y2011i1p259-268.html
   My bibliography  Save this article

The determinants of mode of transport to work in the Greater Dublin Area

Author

Listed:
  • Commins, Nicola
  • Nolan, Anne

Abstract

Rapid economic and demographic change in the Greater Dublin Area over the period 1996-2006, with associated increases in car dependence and congestion, has focused policy on encouraging more sustainable forms of travel. In this context, knowledge of current travel patterns and their determinants is crucial. Here we concentrate on travel for a specific journey purpose, namely the journey to work. Using data on the full population of working individuals from the 2006 Census of Population, we analyse the influence of travel and supply-side characteristics, as well as demographic and socio-economic characteristics on the choice of mode of transport to work in the Greater Dublin Area. The results indicate that household composition, public transport availability, journey time and work location are particularly significant in explaining the choice of mode of transport to work.

Suggested Citation

  • Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    • Handle: RePEc:eee:trapol:v:18:y:2011:i:1:p:259-268
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967-070X(10)00106-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 357-370.
    2. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    3. Eymann, Angelika & Ronning, Gerd, 1997. "Microeconometric models of tourists' destination choice," Regional Science and Urban Economics, Elsevier, vol. 27(6), pages 735-761, November.
    4. Edgar Morgenroth, 2002. "Commuting in Ireland: An Analysis of Inter-County Commuting Flows," Papers WP144, Economic and Social Research Institute (ESRI).
    5. Olof Johansson-Stenman, 2002. "Estimating individual driving distance by car and public transport use in Sweden," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 959-967.
    6. Lave, Charles A, 1970. "The Demand for Urban Mass Transportation," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 320-323, August.
    7. Raquel Espino & Concepción Román & Juan Ortúzar, 2006. "Analysing Demand for Suburban Trips: A Mixed RP/SP Model with Latent Variables and Interaction Effects," Transportation, Springer, vol. 33(3), pages 241-261, May.
    8. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    9. Kingham, S. & Dickinson, J. & Copsey, S, 2001. "Travelling to work: will people move out of their cars," Transport Policy, Elsevier, vol. 8(2), pages 151-160, April.
    10. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    11. Amaya Vega & Aisling Reynolds-Feighan, 2008. "Employment Sub-centres and Travel-to-Work Mode Choice in the Dublin Region," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1747-1768, August.
    12. John G. Cragg & Russell S. Uhler, 1970. "The Demand for Automobiles," Canadian Journal of Economics, Canadian Economics Association, vol. 3(3), pages 386-406, August.
    13. McGillivray, Robert G, 1972. "Binary Choice of Urban Transport Mode in the San Francisco Bay Region," Econometrica, Econometric Society, vol. 40(5), pages 827-848, September.
    14. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    15. Nolan, Anne, 2002. "The Determinants of Urban Households' Transport Decisions: A Microeconometric Study using Irish Data," Royal Economic Society Annual Conference 2002 150, Royal Economic Society.
    16. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, 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. Monika Blišťanová & Peter Koščák & Michaela Tirpáková & Magdaléna Ondicová, 2023. "A Cross-Comparative Analysis of Transportation Safety Research," Sustainability, MDPI, vol. 15(9), pages 1-14, May.
    2. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
    3. Jianxi Feng & Martin Dijst & Bart Wissink & Jan Prillwitz, 2014. "Understanding Mode Choice in the Chinese Context: The Case of Nanjing Metropolitan Area," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(3), pages 315-330, July.
    4. Maurici Ruiz-Pérez & Joana Maria Seguí-Pons, 2020. "Transport Mode Choice for Residents in a Tourist Destination: The Long Road to Sustainability (the Case of Mallorca, Spain)," Sustainability, MDPI, vol. 12(22), pages 1-31, November.
    5. Christer Thrane, 2016. "Analysing related choices in tourism research," Tourism Economics, , vol. 22(3), pages 527-542, June.
    6. Driscoll, Áine & Lyons, Sean & Morgenroth, Edgar & Nolan, Anne, 2013. "Comparing the Determinants of Mode Choice across Travel Purposes," MPRA Paper 46034, University Library of Munich, Germany.
    7. Amoh-Gyimah, Richard & Aidoo, Eric Nimako, 2013. "Mode of transport to work by government employees in the Kumasi metropolis, Ghana," Journal of Transport Geography, Elsevier, vol. 31(C), pages 35-43.
    8. Altieri, Marcelo & Silva, Cecília & Terabe, Shintaro, 2020. "Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share," Journal of Transport Geography, Elsevier, vol. 87(C).
    9. 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.
    10. Zhang, Guozheng & Wang, Dianhai & Cai, Zhengyi & Zeng, Jiaqi, 2024. "Competitiveness of public transit considering travel time reliability: A case study for commuter trips in Hangzhou, China," Journal of Transport Geography, Elsevier, vol. 114(C).
    11. Ouyang, Xu & Xu, Min, 2022. "Promoting green transportation under the belt and Road Initiative: Locating charging stations considering electric vehicle users’ travel behavior," Transport Policy, Elsevier, vol. 116(C), pages 58-80.
    12. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
    13. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
    14. Li, Xiaowei & Tang, Junqing & Hu, Xiaojiao & Wang, Wei, 2020. "Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis," Journal of Transport Geography, Elsevier, vol. 86(C).
    15. Delmelle, Eric M. & Delmelle, Elizabeth Cahill, 2012. "Exploring spatio-temporal commuting patterns in a university environment," Transport Policy, Elsevier, vol. 21(C), pages 1-9.
    16. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2022. "Reassessing the commuting penalty for immigrants: new evidence from Spain," Transportation, Springer, vol. 49(4), pages 1099-1132, August.
    17. Du, Fangye & Mao, Liang & Wang, Jiaoe, 2021. "Determinants of travel mode choice for seeking healthcare: A comparison between elderly and non-elderly patients," Journal of Transport Geography, Elsevier, vol. 92(C).
    18. Simon McDonnell & Brian Caulfield, 2011. "Measuring the Failure of Planning and Its Impact on Sustainable Travel in Dublin, Ireland," Energies, MDPI, vol. 4(5), pages 1-14, April.
    19. repec:cec:wpaper:1415 is not listed on IDEAS
    20. Fangye Du & Jiaoe Wang & Yu Liu & Zihao Zhou & Haitao Jin, 2022. "Equity in Health-Seeking Behavior of Groups Using Different Transportations," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    21. Dėdelė, Audrius & Miškinytė, Auksė & Andrušaitytė, Sandra & Nemaniūtė-Gužienė, Jolanta, 2020. "Dependence between travel distance, individual socioeconomic and health-related characteristics, and the choice of the travel mode: a cross-sectional study for Kaunas, Lithuania," Journal of Transport Geography, Elsevier, vol. 86(C).
    22. Wen Yang & Quanliang Chen & Jing Yang, 2022. "Factors Affecting Travel Mode Choice between High-Speed Railway and Road Passenger Transport—Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

    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. John Eakins, 2013. "The Determinants of Household Car Ownership: Empirical Evidence from the Irish Household Budget Survey," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 144, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    2. Nolan, Anne, 2010. "A dynamic analysis of household car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 446-455, July.
    3. 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.
    4. Selen Cakmakyapan & Haydar Demirhan, 2017. "A Monte Carlo-based pseudo-coefficient of determination for generalized linear models with binary outcome," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(14), pages 2458-2482, October.
    5. Salon, Deborah, 2006. "Cars and the City: An Investigation of Transportation and Residential Location Choices in New York City," University of California Transportation Center, Working Papers qt1br223vz, University of California Transportation Center.
    6. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    7. Santos-Pérez, Rubén., 2015. "Estimación de la demanda de uso de autos particulares en la zona metropolitana del valle de México: un análisis Tobit," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(21), pages 85-120, segundo s.
    8. Martin Falk & Eva Hagsten, 2018. "Winter Weather Anomalies and Individual Destination Choice," Sustainability, MDPI, vol. 10(8), pages 1-14, July.
    9. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.
    10. Fredrik Carlsson & Mitesh Kataria, 2008. "Assessing Management Options for Weed Control with Demanders and Non-Demanders in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 84(3), pages 517-528.
    11. Chaminuka, P. & Groeneveld, R.A. & Selomane, A.O. & van Ierland, E.C., 2012. "Tourist preferences for ecotourism in rural communities adjacent to Kruger National Park: A choice experiment approach," Tourism Management, Elsevier, vol. 33(1), pages 168-176.
    12. repec:zbw:rwirep:0385 is not listed on IDEAS
    13. Amoh-Gyimah, Richard & Aidoo, Eric Nimako, 2013. "Mode of transport to work by government employees in the Kumasi metropolis, Ghana," Journal of Transport Geography, Elsevier, vol. 31(C), pages 35-43.
    14. Jeremy Webb & Max Briggs & Clevo Wilson, 2018. "Breaking automotive modal lock-in: a choice modelling study of Jakarta commuters," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 47-68, January.
    15. Macharis, Cathy & De Witte, Astrid, 2012. "The typical company car user does not exist: The case of Flemish company car drivers," Transport Policy, Elsevier, vol. 24(C), pages 91-98.
    16. Chiou, Yu-Chiun & Wen, Chieh-Hua & Tsai, Shih-Hsun & Wang, Wei-Ying, 2009. "Integrated modeling of car/motorcycle ownership, type and usage for estimating energy consumption and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 665-684, August.
    17. Shenhao Wang & Qingyi Wang & Nate Bailey & Jinhua Zhao, 2018. "Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective," Papers 1810.10465, arXiv.org, revised Sep 2019.
    18. Espino, Raquel & de Dios Ortúzar, Juan & Román, Concepción, 2007. "Understanding suburban travel demand: Flexible modelling with revealed and stated choice data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 899-912, December.
    19. Matthew C. Harding & Jerry Hausman, 2007. "Using A Laplace Approximation To Estimate The Random Coefficients Logit Model By Nonlinear Least Squares," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1311-1328, November.
    20. Michael Veall & Klaus Zimmermann, 1994. "Evaluating Pseudo-R 2 's for binary probit models," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 151-164, May.
    21. Dannewald, Till & Kreis, Henning & Silberhorn, Nadja, 2007. "Das hybride Wahlmodell und seine Anwendung im Marketing," SFB 649 Discussion Papers 2007-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    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:trapol:v:18:y:2011:i:1:p:259-268. 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/30473/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.