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First published online January 1, 2017

Conceptual Framework for Understanding Latent Demand: Accounting for Unrealized Activities and Travel

Abstract

Historically, latent demand—the activities and travel that are desired but unrealized because of constraints—has been examined from the standpoint of understanding the effects of proposed capacity or service improvements on travel demand. Drawing on work from a variety of theoretical perspectives, this paper presents a broader conceptual view of latent demand that provides a useful framework for researching and understanding these unmet needs. This view is important from an equity standpoint, as it provides insights into questions of transport disadvantage, social exclusion, and poverty. The framework presented here is theoretical in nature and untested empirically. This paper aims to promote discussion and ultimately a more developed theory that can inform transportation planning and forecasting. A better definition and quantification of latent (or induced) demand can aid transportation planners in better predicting the effects of future transportation investments and other social, economic, and technological changes.

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References

1. Downs A. The Law of Peak-Hour Expressway Congestion. Traffic Quarterly, Vol. 16, 1962, pp. 393–409.
2. Downs A. Stuck in Traffic: Coping with Peak-Hour Traffic Congestion. Brookings Institution, Washington, D.C., 1992.
3. Guiliano G. Land Use Impacts of Transportation Investments: Highway and Transit. In The Geography of Urban Transportation, 3rd ed. (Hanson S. and Guiliano G., eds.), Guilford Press, New York, 2004, pp. 237–273.
4. Nelson A. C., and Allen D. If You Build Them, Commuters Will Use Them: Association Between Bicycle Facilities and Bicycle Commuting. Transportation Research Record, No. 1578, 1997, pp. 79–83. https://doi.org/10.3141/1578-10.
5. Dill J., and Carr T. Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them. Transportation Research Record: Journal of the Transportation Research Board, No. 1828, 2003, pp. 116–123. https://doi.org/10.3141/1828-14.
6. Noland R. B., and Lem L. L. A Review of the Evidence for Induced Travel and Changes in Transportation and Environmental Policy in the US and the UK. Transportation Research Part D: Transport and Environment, Vol. 7, No. 1, 2002, pp. 1–26. https://doi.org/10.1016/S1361-9209(01)00009-8.
7. Hansen M. Do New Highways Generate Traffic? Access, Vol. 7, No. 2, 1995, pp. 16–22.
8. Cervero R. Induced Travel Demand: Research Design, Empirical Evidence and Normative Policies. Journal of Planning Literature, Vol. 17, No. 1, 2002, pp. 3–20. https://doi.org/10.1177/088122017001001.
9. Lee D. Jr., Klein L., and Camus G. Induced Traffic and Induced Demand. Transportation Research Record: Journal of the Transportation Research Board, No. 1659, 1999, pp. 68–75. https://doi.org/10.3141/1659-09.
10. Kotler P. The Major Tasks of Marketing Management. Journal of Marketing, Vol. 37, No. 4, 1973, pp. 42–49. https://doi.org/10.2307/1250357.
11. Kirzner I. M. Competition and Entrepreneurship. University of Chicago Press, Chicago, Ill., 1973.
12. Lancaster K. J. A New Approach to Consumer Theory. Journal of Political Economy, Vol. 74, No. 2, 1966, pp. 132–157. https://doi.org/10.1086/259131.
13. Earl P. E. Lifestyle Economics: Consumer Behaviour in a Turbulent World. Wheatsheaf, Brighton, United Kingdom, 1986.
14. Hoel L. A., Perle E. D., Kansky K. J., Kuehn A. A., Roszner E. S., and Nesbitt H. P. Latent Demand for Urban Transportation. Carnegie Mellon University, Pittsburgh, Pa., 1968.
15. Hägerstrand T. What About People in Regional Science? Papers of the Regional Science Association, Vol. 24, No. 1, 1970, pp. 6–21. https://doi.org/10.1007/BF01936872.
16. Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall, Upper Saddle River, N.J., 1986.
17. Ajzen I. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, 1991, pp. 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
18. Prochaska J. O., Redding C. A., and Evers K. E. The Transtheoretical Model and Stages of Change. In Health Behavior and Health Education: Theory, Research, and Practice, 4th ed. (Glanz K., Rimer B. K., and Vizwanath K., eds.), John Wiley & Sons, Inc., San Francisco, Calif., 2008, pp. 97–121.
19. Doherty S. T., Miller E. J., Axhausen K. W., and Gärling T. A Conceptual Model of the Weekly Household Activity-Travel Scheduling Process. In Travel Behaviour: Spatial Patterns, Congestion and Modelling, Edward Elgar, Cheltenham, United Kingdom, 2002, pp. 233–264.
20. Joh C. H., Doherty S. T., and Polak J. W. Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification. Transportation Research Record: Journal of the Transportation Research Board, No. 1926, 2005, pp. 19–25. https://doi.org/10.3141/1926-03.
21. Clifton K. Mobility Strategies and Food Shopping for Low-Income Families: A Case Study. Journal of Planning Education & Research, Vol. 23, No. 4, 2004, pp. 402–413. https://doi.org/10.1177/0739456X04264919.
22. Blumenberg E, and Agrawal A. W. Getting Around When You’re Just Getting By: Transportation Survival Strategies of the Poor. Journal of Poverty, Vol. 18, No. 4, 2014, pp. 355–378.
23. Lucas K. Running on Empty: Transport, Social Exclusion and Environmental Justice. Policy Press, Bristol, United Kingdom, 2004.
24. Maslow A. H. A Theory of Human Motivation. Psychological Review, Vol. 50, No. 4, 1943, pp. 370–396. https://doi.org/10.1037/h0054346.
25. Chapin F. S. Jr. Human Activity Patterns in the City: Things People Do in Time and in Space. John Wiley & Sons, Inc., New York, 1974.
26. Pas E. I. Toward the Understanding of Urban Travel Behavior Through the Classification of Daily Urban Travel–Activity Patterns. Northwestern University, Evanston, Ill., 1980.
27. Jones P. M., Koppelman F. S., and Orfeuil J. P. Activity Analysis: State of the Art and Future Directions. In Developments in Dynamic and Activity-Based Approaches to Travel Analysis (Jones P., ed.), Gower, Aldershot, United Kingdom, 1990, pp. 34–55.
28. Axhausen K. W., and Gärling T. Activity-Based Approaches to Travel Analysis: Conceptual Frameworks, Models, and Research Problems. Transport Reviews, Vol. 12, No. 4, 1992, pp. 324–341.
29. McNally M. G. The Activity-Based Approach. In Handbook of Transport Modeling (Hensher D. A. and Button K. J., eds.), Pergamon, Oxford, United Kingdom, 2000, pp. 53–69.
30. Mokhtarian P. L., and Salomon I. How Derived Is the Demand for Travel? Some Conceptual and Measurement Considerations. Transportation Research Part A: Policy and Practice, Vol. 35, No. 8, 2001, pp. 695–719. https://doi.org/10.1016/S0965-8564(00)00013-6.
31. Mokhtarian P. L., Salomon I., and Redmond L. S. Understanding the Demand for Travel: It’s Not Purely “Derived.” Innovation, Vol. 14, No. 4, 2001, pp. 355–380. https://doi.org/10.1080/13511610120106147.
32. Gärling T., Gillholm R., and Gärling A. Reintroducing Attitude Theory in Travel Behavior Research: The Validity of an Interactive Interview Procedure to Predict Car Use. Transportation, Vol. 25, No. 2, 1998, pp. 129–146. https://doi.org/10.1023/A:1005004311776.
33. Jarass J., and Heinrichs D. New Urban Living and Mobility. Transportation Research Procedia, Vol. 1, No. 1, 2014, pp. 142–153. https://doi.org/10.1016/j.trpro.2014.07.015.
34. Salomon I. Life Style as a Factor in Explaining Travel Behavior. PhD dissertation. Massachusetts Institute of Technology, Cambridge, 1981.
35. Salomon I., and Ben-Akiva M. The Use of the Life-Style Concept in Travel Demand Models. Environment & Planning A, Vol. 15, No. 5, 1983, pp. 623–638. https://doi.org/10.1068/a150623.
36. Scheiner J., and Holz-Rau C. A Comprehensive Study of Life Course, Cohort, and Period Effects on Changes in Travel Mode Use. Transportation Research Part A: Policy and Practice, Vol. 47, 2013, pp. 167–181. https://doi.org/10.1016/j.tra.2012.10.019.
37. Axhausen K. W. Social Networks and Travel: Some Hypotheses. In Social Dimensions of Sustainable Transport: Transatlantic Perspectives (Donaghy K., Poppelreuter S., and Rudinger G., eds.), Ashgate, Aldershot, United Kingdom, 2005, pp. 90–108.
38. Redmond L. Identifying and Analyzing Travel-Related Attitudinal, Personality and Lifestyle Clusters in the San Francisco Bay Area. University of California, Davis, 2000.
39. Singleton P. A. A Theory of Travel Decision-Making with Applications for Modeling Active Travel Demand. Master’s thesis. Portland State University, Portland, Ore., 2013.
40. Van Acker V., Van Wee B., and Witlox F. When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour. Transport Reviews, Vol. 30, No. 2, 2010, pp. 219–240.
41. Doherty S. T., and Miller E. J. A Computerized Household Activity Scheduling Survey. Transportation, Vol. 27, No. 1, 2000, pp. 75–97. https://doi.org/10.1023/A:1005231926405.
42. Arentze T. A., and Timmermans H. J. P. A Need-Based Model of Multi-Day, Multi-Person Activity Generation. Transportation Research Part B: Methodological, Vol. 43, No. 2, 2009, pp. 251–265. https://doi.org/10.1016/j.trb.2008.05.007.

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Article first published online: January 1, 2017
Issue published: January 2017

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Authors

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Kelly J. Clifton
Department of Civil and Environmental Engineering, Maseeh College of Engineering and Computer Science, Portland State University, Room EB 301E, P.O. Box 751 CEE, Portland, OR 97207
Filipe Moura
CERIS-CESUR, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, 1, 1049-001 Lisbon, Portugal

Notes

K. J. Clifton, [email protected].

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