Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2015

Adaptive Transport Supply and Demand Management Strategies in an Integrated Land Use and Transport Model

Abstract

The importance of a robust transport and land use development policy is widely recognized because the economy and population growth are subject to uncertainty. This study incorporated recourse considerations into the formulation of transport supply and demand management strategies that could be implemented adaptively over time as the uncertain phenomena were gradually revealed. The formulation took the form of a multistage stochastic program with equilibrium constraints and the planning horizon was divided into stages. A numerical example was constructed to illustrate and evaluate the additional benefits of this adaptive approach under demand uncertainty compared with the traditional deterministic approach.

Get full access to this article

View all access and purchase options for this article.

References

1. Wilson A. G. A Statistical Theory of Spatial Distribution Models. Transportation Research, Vol. 1, No. 3, 1967, pp. 253–269.
2. McFadden D. Modelling the Choice of Residential Location. In Spatial Interaction Theory and Planning Models (Karlqvist A., Lundqvist L., Snickers F., and Weibull J. W., eds.), North-Holland, Amsterdam, Netherlands, 1977.
3. Anderstig C., and Mattsson L. An Integrated Model of Residential and Employment Location in a Metropolitan Region. Papers in Regional Science, Vol. 70, No. 2, 1991, pp. 167–184.
4. Boyce D., and Mattsson L. R. Modeling Residential Location Choice in Relation to Housing Location and Road Tolls on Congested Urban Highway Networks. Transportation Research Part B: Methodological, Vol. 33, No. 8, 1999, pp. 581–591.
5. Mattsson L. R. Road Pricing: Consequences for Traffic, Congestion and Location. In Road Pricing, the Economy and the Environment (Jensen-Butler P. C., Sloth P. B., Larsen M. M., Madsen B., and Nielsen P. O. A., eds.), Springer, Berlin, 2008, pp. 29–48.
6. Rosen S. Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, Vol. 82, No. 1, 1974, pp. 34–55.
7. Martínez F. J. The Bid-Choice Land-Use Model: An Integrated Economic Framework. Environment and Planning A, Vol. 24, No. 6, 1992, pp. 871–885.
8. Cheshire P., and Sheppard S. On the Price of Land and the Value of Amenities. Economica, Vol. 62, No. 246, 1995, pp. 247–267.
9. Martínez F. J., and Henríquez R. A Random Bidding and Supply Land Use Equilibrium Model. Transportation Research Part B: Methodological, Vol. 41, No. 6, 2007, pp. 632–651.
10. Briceño L., Cominetti R., Cortés C. E., and Martínez F. J. An Integrated Behavioral Model of Land Use and Transport System: A Hyper-Network Equilibrium Approach. Networks and Spatial Economics, Vol. 8, No. 2, 2008, pp. 201–224.
11. Bravo M., Brice O. L., Cominetti R., Cortés C. E., and Martínez F. J. An Integrated Behavioral Model of the Land-Use and Transport Systems with Network Congestion and Location Externalities. Transportation Research Part B: Methodological, Vol. 44, No. 4, 2010, pp. 584–596.
12. Szeto W. Y., and Lo H. K. Time-Dependent Transport Network Improvement and Tolling Strategies. Transportation Research Part A: Policy and Practice, Vol. 42, No. 2, 2008, pp. 376–391.
13. Lo H. K., and Szeto W. Y. Time-Dependent Transport Network Design Under Cost-Recovery. Transportation Research Part B: Methodological, Vol. 43, No. 1, 2009, pp. 142–158.
14. Ma X., and Lo H. K. Modeling Transport Management and Land Use Over Time. Transportation Research Part B: Methodological, Vol. 46, No. 6, 2012, pp. 687–709.
15. Ma X., and Lo H. K. On Joint Railway and Housing Development Strategy. Transportation Research Part B: Methodological, Vol. 57, 2013, pp. 451–467.
16. Bertsekas D. P. Dynamic Programming and Optimal Control. Athena Scientific, Nashua, N.H., 1995.
17. Ukkusuri S. V., and Patil G. Multi-Period Transportation Network Design Under Demand Uncertainty. Transportation Research Part B: Methodological, Vol. 43, No. 6, 2009, pp. 625–642.
18. Chow J. Y. J., and Regan A. C. Real Option Pricing of Network Design Investments. Transportation Science, Vol. 45, No. 1, 2011, pp. 50–63.
19. Chow J. Y. J., and Regan A. C. Network-Based Real Option Models. Transportation Research Part B: Methodological, Vol. 45, No. 4, 2011, pp. 682–695.
20. Yang H., and Meng Q. An Integrated Network Equilibrium Model of Urban Location and Travel Choices. Journal of Regional Science, Vol. 38, No. 4, 1998, pp. 575–598.
21. Train K. Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge, United Kingdom, 2003.
22. Lo H. K., and Chen A. Reformulating the Traffic Equilibrium Problem via a Smooth Gap Function. Mathematical and Computer Modelling, Vol. 31, No. 2, 2000, pp. 179–195.
23. Fischer A. A Special Newton-Type Optimization Method. Optimization, Vol. 57, 1992, pp. 269–284.
24. Wegener M. Operational Urban Models: State of the Art. Journal of the American Planning Association, Vol. 60, No. 1, 1994, pp. 17–29.
25. Wang D. Z. W., and Lo H. K. Global Optimum of the Linearized Network Design Problem with Equilibrium Flows. Transportation Research Part B: Methodological, Vol. 44, No. 4, 2010, pp. 482–492.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: January 1, 2015
Issue published: January 2015

Rights and permissions

© 2015 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Xiaosu Ma
Department of Urban Planning, School of Architecture, Southeast University, Sipailou 2, Nanjing 210096, China.
Hong K. Lo
Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.

Notes

The Standing Committee on Transportation Demand Forecasting peer-reviewed this paper.

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 38

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 1

  1. A Heuristic Approach for Exploring Uncertainties in Transport Planning...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub