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Transit market research using structural equation modeling and attitudinal market segmentation

Author

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  • Shiftan, Yoram
  • Outwater, Maren L.
  • Zhou, Yushuang

Abstract

This paper presents a comprehensive approach for identifying potential transit markets and for developing strategies to increase public transport ridership. The approach uses structural equation modeling (SEM) to identify simultaneously travelers' attitudes, travel behavior, and the causal relationships between a traveler's socioeconomic profile and his/her attitude toward travel. Travel attitudes are also used to identify distinct market segments and to develop plans that best serve the needs of each segment and increase transit ridership. The approach is demonstrated with a case study from the Utah Transit Authority.

Suggested Citation

  • Shiftan, Yoram & Outwater, Maren L. & Zhou, Yushuang, 2008. "Transit market research using structural equation modeling and attitudinal market segmentation," Transport Policy, Elsevier, vol. 15(3), pages 186-195, May.
  • Handle: RePEc:eee:trapol:v:15:y:2008:i:3:p:186-195
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    References listed on IDEAS

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    Cited by:

    1. Grischkat, Sylvie & Hunecke, Marcel & Böhler, Susanne & Haustein, Sonja, 2014. "Potential for the reduction of greenhouse gas emissions through the use of mobility services," Transport Policy, Elsevier, vol. 35(C), pages 295-303.
    2. repec:eee:trapol:v:62:y:2018:i:c:p:38-47 is not listed on IDEAS
    3. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    4. repec:eee:transa:v:103:y:2017:i:c:p:70-82 is not listed on IDEAS
    5. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    6. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.
    7. Abenoza, Roberto F. & Cats, Oded & Susilo, Yusak O., 2017. "Travel satisfaction with public transport: Determinants, user classes, regional disparities and their evolution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 64-84.
    8. Nkurunziza, Alphonse & Zuidgeest, Mark & Brussel, Mark & Van Maarseveen, Martin, 2012. "Examining the potential for modal change: Motivators and barriers for bicycle commuting in Dar-es-Salaam," Transport Policy, Elsevier, vol. 24(C), pages 249-259.
    9. Elias, Wafa & Shiftan, Yoram, 2012. "The influence of individual’s risk perception and attitudes on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1241-1251.
    10. Li, Zhibin & Wang, Wei & Yang, Chen & Ragland, David R., 2013. "Bicycle commuting market analysis using attitudinal market segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 56-68.
    11. Hickman, Robin & Ashiru, Olu & Banister, David, 2010. "Transport and climate change: Simulating the options for carbon reduction in London," Transport Policy, Elsevier, vol. 17(2), pages 110-125, March.
    12. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    13. Elias, Wafa & Albert, Gila & Shiftan, Yoram, 2013. "Travel behavior in the face of surface transportation terror threats," Transport Policy, Elsevier, vol. 28(C), pages 114-122.
    14. Creemers, Lieve & Tormans, Hans & Bellemans, Tom & Janssens, Davy & Wets, Geert & Cools, Mario, 2015. "Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 31-43.
    15. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    16. Maya Abou-Zeid & Moshe Ben-Akiva, 2014. "Hybrid choice models," Chapters,in: Handbook of Choice Modelling, chapter 17, pages 383-412 Edward Elgar Publishing.
    17. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    18. Verbich, David & El-Geneidy, Ahmed, 2016. "The pursuit of satisfaction: Variation in satisfaction with bus transit service among riders with encumbrances and riders with disabilities using a large-scale survey from London, UK," Transport Policy, Elsevier, vol. 47(C), pages 64-71.

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