Meta-analysis for Explaining the Variance in Public Transport Demand Elasticities in Europe

Results from past studies on transportation demand elasticities show a large variance. This paper assesses key factors that influence the sensitivity of public transit users to transportation costs in Europe, by carrying out a comparative analysis of the different elasticity values of demand for transportation that are being used in some different member states. The empirical base is elasticity studies in Norway, Finland, the Netherlands and the United Kingdom. The paper identifies a set of potential factors causing variances between results of different studies. An in depth rough set analysis of causes of variances between elasticity values across the four countries is presented. The analysis supports the literature, which indicates that the difference between aggregated, empirical-based research methods and the use of disaggregated choice models, as well as model assumptions, explain the variance in elasticity values accross studies. It also appears that the country involved, the number of competitive modes, and type of data are important factors for the size of elasticities.

[1]  R. Rosenthal Meta-analytic procedures for social research , 1984 .

[2]  Richard F. Beltramini,et al.  Meta-Analysis: Quantitative Methods for Research Synthesis , 1987 .

[3]  David B. Pillemer,et al.  Summing Up: The Science of Reviewing Research , 1984 .

[4]  D P Bowyer,et al.  Australian Road Research Board , 1987 .

[5]  P B Goodwin EVIDENCE ON CAR AND PUBLIC TRANSPORT DEMAND ELASTICITIES, 1980-1988 , 1988 .

[6]  T. Oum,et al.  A survey of recent estimates of price elasticities of demand for transport , 1990 .

[7]  Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[8]  P. Goodwin A REVIEW OF NEW DEMAND ELASTICITIES WITH SPECIAL REFERENCE TO SHORT AND LONG RUN EFFECTS OF PRICE CHANGES , 1992 .

[9]  T. Oum,et al.  CONCEPTS OF PRICE ELASTICITIES OF TRANSPORT DEMAND AND RECENT EMPIRICAL ESTIMATES: AN INTERPRETATIVE SURVEY. IN: URBAN TRANSPORT , 1992 .

[10]  S Hepburn,et al.  NEW REVIEW OF AUSTRALIAN TRAVEL DEMAND ELASTICITIES , 1993 .

[11]  J. P. Toner,et al.  LONDON CONGESTION CHARGING: REVIEW AND SPECIFICATION OF MODEL ELASTICITIES , 1993 .

[12]  Roman Slowinski,et al.  Handling Various Types of Uncertainty in the Rough Set Approach , 1993, RSKD.

[13]  C. J. V. Rijsbergen,et al.  Rough Sets, Fuzzy Sets and Knowledge Discovery , 1994, Workshops in Computing.

[14]  Molly Espey,et al.  Explaining the Variation in Elasticity Estimates of Gasoline Demand in the United States: A Meta-Analysis , 1996 .

[15]  T. Oum,et al.  THE STRUCTURE OF TRAVEL DEMANDS IN THE NETHERLANDS: AN APPLICATION TO PREDICT MODAL SHARES UNDER THE SUSTAINABLE DEVELOPMENT GOALS (*) , 1996 .

[16]  Peter Nijkamp,et al.  Meta-Analysis in Environmental Economics , 1997 .

[17]  Salvatore Greco,et al.  Rough Set Approach to Multi-Attribute Choice and Ranking Problems , 1997 .