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The Determinants of Mode of Transport to Work in the Greater Dublin Area

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  • Commins, Nicola

    (ESRI)

  • Nolan, Anne

    (ESRI)

Abstract

Rapid economic and demographic change in the Greater Dublin Area over the last decade, 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. We employ cross-section micro-data from the 2006 Census of Population to 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.

Suggested Citation

  • Commins, Nicola & Nolan, Anne, 2008. "The Determinants of Mode of Transport to Work in the Greater Dublin Area," Papers WP268, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:wp268
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    Cited by:

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    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. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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).
    13. 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).
    14. 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.
    15. 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.
    16. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
    17. 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.
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    19. 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.
    20. 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).
    21. 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.
    22. 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).

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