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Spatial transferability of an ordered response model of trip generation

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  • Agyemang-Duah, Kwaku
  • Hall, Fred L.

Abstract

This paper documents analysis of the spatial transferability of an ordered response model, a type of discrete choice model which maintains the ordinal nature in the dependent variable in situations where there are more than two responses. The analysis focuses on shopping trip generation in Metropolitan Toronto. The paper investigates the performance of a directly transferred ordered response model (without updating the transferred coefficients) and assesses the effectiveness of a technique for revising the constant terms and scalars in the model by using small-sample data from the region to which the model is to be applied. The results of this spatial transferability analysis show that a directly transferred ordered response model performs reasonably well in predicting the aggregate shares in the application (new) context. Revising the constant terms and the scalars in the model substantially improves the predictive ability of the transferred model.

Suggested Citation

  • Agyemang-Duah, Kwaku & Hall, Fred L., 1997. "Spatial transferability of an ordered response model of trip generation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(5), pages 389-402, September.
    • Handle: RePEc:eee:transa:v:31:y:1997:i:5:p:389-402
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    Cited by:

    1. Amirali Soltanpour & Mahmoud Mesbah & Meeghat Habibian, 2020. "Customer satisfaction in urban rail: a study on transferability of structural equation models," Public Transport, Springer, vol. 12(1), pages 123-146, March.
    2. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    3. Robert Noland & John Polak & Michael Bell & Neil Thorpe, 2003. "How much disruption to activities could fuel shortages cause? – The British fuel crisis of September 2000," Transportation, Springer, vol. 30(4), pages 459-481, November.
    4. Bhat, Chandra & Zhao, Huimin, 2002. "The spatial analysis of activity stop generation," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 557-575, July.
    5. Antonio Paez & Darren Scott & Dimitris Potoglou & Pavlos Kanaroglou & K. Bruce Newbold, 2007. "Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada," Urban Studies, Urban Studies Journal Limited, vol. 44(1), pages 123-146, January.
    6. Andrew Bwambale & Charisma F. Choudhury & Stephane Hess & Md. Shahadat Iqbal, 2021. "Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling," Transportation, Springer, vol. 48(5), pages 2287-2314, October.
    7. Adibfar, Alireza & Gulhare, Siddhartha & Srinivasan, Siva & Costin, Aaron, 2022. "Analysis and modeling of changes in online shopping behavior due to Covid-19 pandemic: A Florida case study," Transport Policy, Elsevier, vol. 126(C), pages 162-176.
    8. Balla, Bhavani Shankar & Sahu, Prasanta K., 2023. "Assessing regional transferability and updating of freight generation models to reduce sample size requirements in national freight data collection program," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    9. Bhat, Chandra, 1999. "An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey," Transportation Research Part B: Methodological, Elsevier, vol. 33(7), pages 495-510, September.
    10. William Greene, 2014. "Models for ordered choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 15, pages 333-362, Edward Elgar Publishing.
    11. Md. Sakoat Hossan & Hamidreza Asgari & Xia Jin, 2018. "Trip misreporting forecast using count data model in a GPS enhanced travel survey," Transportation, Springer, vol. 45(6), pages 1687-1700, November.
    12. Salih, Samal Hama & Lee, Jinwoo (Brian), 2022. "Measuring transit accessibility: A dispersion factor to recognise the spatial distribution of accessible opportunities," Journal of Transport Geography, Elsevier, vol. 98(C).
    13. Yasmin, Farhana & Morency, Catherine & Roorda, Matthew J., 2015. "Assessment of spatial transferability of an activity-based model, TASHA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 200-213.
    14. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    15. Bhat, Chandra & Lockwood, Allison, 2004. "On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 573-592, October.
    16. Brathwaite, Timothy & Walker, Joan L., 2018. "Causal inference in travel demand modeling (and the lack thereof)," Journal of choice modelling, Elsevier, vol. 26(C), pages 1-18.
    17. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.

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