Household Travel Behavior in Developing Countries: Nested Logit Model of Vehicle Ownership,Mode Choice,and Trip Chaining

Abstract

A nested logit (NL) model is proposed to analyze household travel behavior in developing countries. There has been an increase in vehicle ownership and chronic congestion in urban areas of such countries. The investigation is focused mainly on household travel behavior variations relating to vehicle ownership, mode choice, and trip-chaining considerations; an NL approach is used. The nest structure consists of two levels: the upper level represents car ownership, motorcycle ownership, and no-vehicle ownership choices, and the lower level shows household-based mode choices. Because the sharing of a vehicle by family members for multiple destinations is very popular in developing countries, trip chaining by primary and secondary household members is one of the mode-choice options considered in the proposed model. The developed NL model is also applied for analyzing congestion-reduction policy using a “push and pull” strategy, in which a road-pricing scheme is considered for car and motorcycle travel in the central business district together with fare reduction in public transportation. The model and the policies are verified using the Bangkok metropolitan region as a case study.

Get full access to this article

View all access options for this article.

References

Urban Transport Database and Model Development Project (UTDM). Final Report. Vol. 1 and 2. Office of the Commission for the Management of Land Traffic (OCMLT), Thailand. 1998.

Adler

, and Ben-Akiva

. A Theoretical and Empirical Model of Trip Chaining Behavior. Journal of Transportation Research B, Vol. 13, No. 3, Sept. 1979, pp. 243–257.

Wegmann

F. J.

, and Jang

T. Y.

. Trip Linkage Patterns for Workers. Journal of Transportation Engineering, ASCE, Vol. 124, No. 3, May/June 1998, pp. 264–270.

Jou

R. C.

, and Mahmassani

H. S.

. Comparative Analysis of Day-to-Day Trip-Chaining Behavior of Urban Commuters in Two Cities. In Transportation Research Record 1607, TRB, National Research Council, Washington, D.C., 1997, pp. 163–170.

Kitamura

Incorporating Trip Chaining into Analysis of Destination Choice. Transportation Research B, Vol. 18, No. 1, Jan./Feb. 1984, pp. 67–81.

Goulias

K. G.

, and Kitamura

. Recursive Model System for Trip Generation and Trip Chaining. In Transportation Research Record 1236, TRB, National Research Council, Washington, D.C., 1989, pp. 59–66.

De Palma

, Fontan

, and Liu

. Trip Timing and Chaining. In Travel Behavior Research: The Leading Edge. Elsevier Science Ltd., United Kingdom, 2001.

Ben-Akiva

, and Bowman

J. L.

. Integration of an Activity-Based System and Residential Location Model. Urban Studies, Vol. 35, No. 7, 1998, pp. 1231–1253.

Dissanayake

, and Morikawa

. Transport Policy Analysis for Developing Countries Using a Nested Logit Model of Vehicle Usage, Mode Choice, and Trip Chain. Journal of Eastern Asia Society for Transportation Studies, Vol. 4, No. 6, 2001, pp. 161–173.

10.

Dissanayake

, and Morikawa

. A Combined RP/SP Nested Logit Model to Investigate Household Decisions on Vehicle Usage, Mode Choice, and Trip Chaining. Journal of Eastern Asia Society for Transportation Studies, Vol. 4, No. 2, 2001, pp. 235–244.

11.

Strathman

J. G.

, Dueker

K. J.

, and Davis

J. S.

. Effects of Household Structure and Selected Travel Characteristics on Trip Chaining. Transportation, No. 1, Vol. 21, 1994, pp. 23–45.

12.

Recker

W. W.

The Household Activity Pattern Problem: General Formulation and Solution. Transportation Research B, Vol. 29, No. 1, Feb. 1995, pp. 61–77.

13.

Sobel

K. L.

Travel Demand Forecasting by Using the Nested Multinomial Logit Model. In Transportation Research Record 775, TRB, National Research Council, Washington, D.C., 1980, pp. 48–55.

14.

Ortuzar

de D. Nested Logit Models for Mixed-mode Travel in Urban Corridors. Journal of Transportation Research A, Vol. 17, No. 4, July 1983, pp. 283–299.

15.

Talvitie

Planning Model for Transportation Corridors. In Transportation Research Record 673, TRB, National Research Council, Washington, D.C., 1978, pp. 106–112.

16.

Mannering

, Murakami

, and Kim

S. G.

. Temporal Stability of Travelers’ Activity Choice and Home-Stay Duration: Some Empirical Evidence. Transportation, Vol. 21, No. 4, 1994, pp. 371–392.

17.

Ben-Akiva

, and Bowman

J. L.

. Activity Scheduling and the Analysis of Activity Patterns. Proc., EIRASS Conference on Activity-Based Approaches. Eindhoven University of Technology, Netherlands, 1995.

18.

Mauch

, and Taylor

B. D.

. Gender, Race, and Travel Behavior: Analysis of Household-Serving Travel and Commuting in San Francisco Bay Area. In Transportation Research Record 1607, TRB, National Research Council, Washington, D.C., 1997, pp. 147–153.

19.

Hayashi

, Anurakamonkul

, Okuda

, Osman

, and Nakamura

. Examining the Effects of a Mass Rapid Transit System on Easing Traffic Congestion in Auto-Dependent Bangkok. Regional Development Studies: UNCRD, Vol. 4, 1998, pp. 65–85.

20.

Environmental Atlas: Bangkok Metropolitan Area. Final Report of the Study on Urban Environmental Improvement Program in Bangkok Metropolitan Area (BEIP) Study. Pacific Consultants International, and Suuri-Keikaku Co., Ltd., Feb. 1997.