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To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel


  • Farag, Sendy
  • Lyons, Glenn


This quantitative study provides more insight into the relative strength of various factors affecting the use and non-use of pre-trip Public Transport (PT) information for business and leisure trips. It also illuminates comparing car with public transport and its consequences for mode choice. The factors affecting PT information use most strongly are travel behaviour and sociodemographics, but travel attitudes, information factors, and social surrounding also play a role. Public transport use and PT information use are closely connected, with travel behaviour having a stronger impact on information use than vice versa. Information service providers are recommended to market PT information simultaneously with public transport use.

Suggested Citation

  • Farag, Sendy & Lyons, Glenn, 2012. "To use or not to use? An empirical study of pre-trip public transport information for business and leisure trips and comparison with car travel," Transport Policy, Elsevier, vol. 20(C), pages 82-92.
  • Handle: RePEc:eee:trapol:v:20:y:2012:i:c:p:82-92
    DOI: 10.1016/j.tranpol.2011.03.007

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    References listed on IDEAS

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    Cited by:

    1. Kaplan, Sigal & Moraes Monteiro, Mayara & Anderson, Marie Karen & Nielsen, Otto Anker & Medeiros Dos Santos, Enilson, 2017. "The role of information systems in non-routine transit use of university students: Evidence from Brazil and Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 34-48.
    2. Yi Zhang & Xiaoguang Yang & Qixing Liu & Chaoyang Li, 2015. "Who Will Use Pre-Trip Traveler Information and How Will They Respond? Insights from Zhongshan Metropolitan Area, China," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-18, May.
    3. repec:eee:transa:v:104:y:2017:i:c:p:255-280 is not listed on IDEAS
    4. Wang, Bobin & Shao, Chunfu & Li, Juan & Weng, Jinxian & Ji, Xun, 2015. "Holiday travel behavior analysis and empirical study under integrated multimodal travel information service," Transport Policy, Elsevier, vol. 39(C), pages 21-36.
    5. Wallis, Hannah & Nachreiner, Malte & Matthies, Ellen, 2016. "Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households," Energy Policy, Elsevier, vol. 94(C), pages 224-234.
    6. Chaug-Ing Hsu & Chia-Wen Li, 2016. "Travel and Activity Choices for Transit Travelers at Terminals with Dynamic Information Provision," Growth and Change, Wiley Blackwell, vol. 47(2), pages 296-311, June.
    7. Aaron Gutiérrez & Daniel Miravet, 2016. "The Determinants of Tourist Use of Public Transport at the Destination," Sustainability, MDPI, Open Access Journal, vol. 8(9), pages 1-16, September.
    8. repec:spr:elmark:v:27:y:2017:i:3:d:10.1007_s12525-017-0257-2 is not listed on IDEAS
    9. Marsden, Greg & Docherty, Iain, 2013. "Insights on disruptions as opportunities for transport policy change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 46-55.
    10. Joewono, Tri B. & Tarigan, Ari K.M. & Susilo, Yusak O., 2016. "Road-based public transportation in urban areas of Indonesia: What policies do users expect to improve the service quality?," Transport Policy, Elsevier, vol. 49(C), pages 114-124.
    11. repec:spr:syspar:v:31:y:2018:i:1:d:10.1007_s11213-017-9415-x is not listed on IDEAS
    12. Ben-Elia, Eran & Alexander, Bayarma & Hubers, Christa & Ettema, Dick, 2014. "Activity fragmentation, ICT and travel: An exploratory Path Analysis of spatiotemporal interrelationships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 56-74.
    13. Spickermann, Alexander & Grienitz, Volker & von der Gracht, Heiko A., 2014. "Heading towards a multimodal city of the future?," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 201-221.


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