Skip to main content

Travel Behavior and Travel Demand

  • Living reference work entry
  • First Online:
Handbook of Regional Science

Abstract

This chapter focuses on the ways in which travel behavior and demand are analyzed within the framework of regional science. Unlike several recent surveys that cover the more technical and abstract aspects of mathematically modeling travel behavior and demand, the attention here is more on the practical aspect of applying travel behavior and demand analysis to subjects such as regional development, infrastructure investment, and congestion analysis. Thus, while the main methods of modeling travel behavior and demand are outlined and critiqued, there is also considerable references to such things as demand elasticities and their estimation that are at the core of applied regional analysis. These types of parameter provide a direct link between a soft policy shift or a harder infrastructure investment, travel behavior, and ultimately the implications of this for regions. There is also discussion of the uses made of the forecasts that are the de facto rationale for studying travel behavior and travel demand, and the ways that neutral forecasting can be manipulated in decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  • Alperovich G, Machnes Y (1994) The role of wealth in demand for international air travel. J Transp Econ Policy 28:163–173

    Google Scholar 

  • Bain R (2009) Error and optimism bias in toll road traffic forecasts. Transportation 36:469–482

    Article  Google Scholar 

  • Bates J (1988) Econometric issues in stated preference analysis. J Transp Econ Policy 22:59–70

    Google Scholar 

  • Bendtsen PR (1980) The influence of price of petrol and of cars on the amount of automobile traffic. Int J Trans Econ 7:207–213

    Google Scholar 

  • Button KJ, Doh S, Hardy MH, Yuan Y, Zhou X (2010) The accuracy of transit system ridership forecasts and capital cost estimates. Int J Trans Econ 37:155–168

    Google Scholar 

  • Crôtte A, Noland RB, Graham DJ (2009) Is the Mexico City metro an inferior good? Transp Policy 16:40–45

    Article  Google Scholar 

  • DeVany AS (1974) The revealed value of time in air travel. Rev Econ Stat 56:77–82

    Article  Google Scholar 

  • Flyvbjerg B, Holm M, Buhl SL (2004) What courses cost overruns in transport infrastructure projects? Transp Rev 24:3–18

    Google Scholar 

  • Flyvbjerg B, Holm M, Buhl SL (2005) How (in)accurate are demand forecasts in public works projects? The case of transportation. J Am Plan Assoc 71:131–146

    Article  Google Scholar 

  • Friedman M (1953) The methodology of positive economics. In: Friedman M (ed) Essays in positive economics. University of Chicago Press, Chicago

    Google Scholar 

  • Gwilliam KM, Mackie PJ (1975) Economics and transportation policy. Allen and Unwin, London

    Google Scholar 

  • Hägerstrand T (1969) What about people in regions? Pap Reg Sci Assoc 24:7–21

    Article  Google Scholar 

  • Heggie I (1978) Putting behaviour into behavioural models of travel choice. J Oper Res Soc 29:541–550

    Article  Google Scholar 

  • Hensher DH (2006) “Bus Fares Elasticities,” a working paper. Institute of Transport and Logistics Studies, The University of Sydney

    Google Scholar 

  • Jones PM (1978) School hour revisions in West Oxfordshire: an exploratory study using HATS. Technical Report, Oxford University Transport Studies Unit

    Google Scholar 

  • Kain J (1990) Deception in Dallas: strategic misrepresentation in rail transit promotion and evaluation. J Am Plan Assoc 56:184–196

    Article  Google Scholar 

  • Kraft K, Domenich TA (1970) Free transit. Heath, Lexington

    Google Scholar 

  • Kroes EP, Sheldon RJ (1988) Stated preference methods: an introduction. J Trans Econ Policy 22:11–26

    Google Scholar 

  • Lago AM, Mayworm P, McEnroe JM (1981) Transit service elasticities – evidence from demonstration and demand models. J Trans Econ Policy 15:99–119

    Google Scholar 

  • Lindsey R, Verhoef E (2008) Congestion modelling. In: Hensher DA, Button KJ (eds) Handbook of transportation modelling, 2nd edn. Elsevier, Amsterdam

    Google Scholar 

  • McFadden D (1974) Conditional logit analysis of qualitative choice behaviour. In: Zarembka P (ed) Frontiers in econometrics. Academic, New York

    Google Scholar 

  • McNally MG, Rindt CR (2008) The activity-based approach. In: Hensher DA, Button KJ (eds) Handbook of transportation modelling, 2nd edn. Elsevier, Amsterdam

    Google Scholar 

  • Morgan JP (1997) Examining toll road feasibility studies. Munic Financ J 18:1–12

    Google Scholar 

  • Oum TH, Waters WG, Yong JS (1992) Concepts of price elasticities of transportation demand and recent empirical evidence. J Trans Econ Policy 26:139–154

    Google Scholar 

  • Oum TH, Waters WG, Fu X (2008) Transportation demand elasticities. In: Hensher DA, Button KJ (eds) Handbook of transportation modelling, 2nd edn. Elsevier, Amsterdam

    Google Scholar 

  • Pickrell DH (1992) A desire named streetcar: fantasy and fact in rail transit planning. Am Plan Assoc J Am Plan Assoc 58:158–176

    Article  Google Scholar 

  • Reza AM, Spiro HM (1979) The demand for passenger car transportation services and for gasoline. J Trans Econ Policy 13:304–319

    Google Scholar 

  • Straszheim MR (1978) Airline demand functions on the North Atlantic and their pricing implications. J Trans Econ Policy 12:179–195

    Google Scholar 

  • Taplin JHE (1980) A coherence approach to estimates of price elasticities in the vacation travel market. J Trans Econ Policy 14:19–35

    Google Scholar 

  • Wachs M (1990) Ethics and advocacy in foresting for public policy. Bus Prof Ethics J 4:141–157

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kenneth Button .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer-Verlag GmbH Germany, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Button, K. (2019). Travel Behavior and Travel Demand. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36203-3_46-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36203-3_46-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36203-3

  • Online ISBN: 978-3-642-36203-3

  • eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

Publish with us

Policies and ethics