Mode Choice and Number of Non-Work Stops during the Commute: Application of a Copula-Based Joint Model

Document Type : Article

Authors

1 Department of Civil Engineering, Sharif University of Technology , Tehran, P.O. Box 9313 - 11155

2 Department of Civil Engineering, Sharif University of Technology, Tehran, P.O. Box 9313 - 11155

Abstract

Commute mode choice and number of non-work stops during the commute are joint decisions that have interaction. If an individual chooses a vehicle for the commute, regarding restriction of that vehicle, could has some stops. On the other hand, if an individual need to has some stops, chooses a vehicle for commute regarding number of stops. In this study to consider the interaction between these decisions, we employed copula-based joint modeling framework.
The data used in this study is drawn from origin-destination travels data of Shiraz-Iran conducted in 1997. The commute mode choice modeling is undertaken using a multinomial logit model and the number of non-work stops is modeled using an ordered response formulation. To capturing interactive between these decisions several copula functions have been used. Results approve that mode and number of none-work stop choices are interrelated choices by estimating commonly observed factors and dependence parameters with high statistical significance. By determining common effective factors, we can analyze the current situation in the community. also, we can use results for forecasting future travel demand and set some policies leading to promoting trip chaining.

Keywords

Main Subjects


References

1. Portoghese, A., Bhat, C.R., and Eluru, N. \A copulabased
joint model of commute mode choice and number
of non-work stops during the commute", Transportation
Research Part B, 38(3), pp. 337-362 (2011).
2. Bhat, C.R. \Work travel mode choice and number
of non-work commute stops", Transportation Research
Part B, 31(1), pp. 41-54 (1997).
3. Cao, X., Mokhtarian, P.L., and Handy, S.L. \Di erentiating
the in
uence of accessibility, attitudes, and demographics
on stop participation and frequency during
the evening commute", Environment and Planning B,
35(3), pp. 431-442 (2008).
4. Chu, Y.L. \Empirical analysis of commute stopmaking
behavior", Transportation Research Record:
Journal of the Transportation Research Board, 1831,
pp. 106-113 (2003).
5. Lizana, P., Arellana, J., Ortuzar, J.D., and Rizzi,
L.I. \Modeling mode and time-of-day choice with joint
RP and SC data", International Choice Modelling
Conference, Sydney, Australia (2013).
6. Ye, X., Pendyala, R.M., and Gottardi, G. \An exploration
of the relationship between mode choice and
complexity of trip chaining patterns", Transportation
Research Part B, 41(1), pp. 96-113 (2007).
7. Bhat, C.R. and Sardesai, R. \The impact of stopmaking
and travel time reliability on commute mode
choice" Transportation Research Part B, 40(9), pp.
709-730 (2006).
8. Strathman, J.G., Dueker, K.J., and Davis, J.S. \Effects
of household structure and selected travel characteristics
on trip chaining", Transportation, 21(1), pp.
23-45 (1994).
A. Rasaizadi and M. Kermanshah/Scientia Iranica, Transactions A: Civil Engineering 25 (2018) 1039{1047 1047
9. Hensher, D.A. and Reyes, A.J. \Trip chaining as a
barrier to the propensity to use public transport"
Transportation, 27(4), pp. 341-361 (2000).
10. Damm, D. \Interdependencies in activity behavior",
Transportation Research Record: Journal of the Transportation
Research Board, 750, pp. 33-40 (1980).
11. Ben-Akiva, M.E. and Lerman, S., Discrete Choice
Analysis: Theory and Applications to Travel Demand,
MIT Press (1985).
12. Trivedi, P.K. and Zimmer, D.M., Copula Modeling:
an Introduction for Practitioners, Now Publishers Inc
(2007).
13. Piotr, J., Durante, F., and Hardle, W.K., Copula
in Mathematical and Quantitative Finance, Springer
(2012).
14. Nelsen, R.B., An Introduction to Copulas (2nd Ed.),
Springer (2006).
15. Daly, A. and Hess, S. \Simple approaches for random
utility modeling with panel data", TRB Annual Meeting,
Washington DC (2013).
16. Owen, D., Yilin, S., and Octavious, S.Y. \Designing
low carbon cities with a family lifecycle in mind:
Where should our focus be?" TRB Annual Meeting,
Washington DC (2014).
17. Sun, Y., Huang, Z., and Kitamura, R. \Travel behavior,
household in the same life cycle stage", Built
Environment, ICTE, pp. 1-6 (2011).

Volume 25, Issue 3
Transactions on Civil Engineering (A)
May and June 2018
Pages 1039-1047
  • Receive Date: 28 November 2015
  • Revise Date: 30 September 2016
  • Accept Date: 12 November 2016