Demand Forecast and Elasticities Estimation of Public Transport

This paper is related to the choice of alternative types of public transport modes and its incidence in the Madrid Metropolitan Area. When planning transport facilities, two conditions are needed: efficient estimation of the users' response to changes in prices and in the characteristics of the services; and reliable predictions of demand. These two conditions are the main objectives of this paper. Given a monthly database, the authors address the first objective using a causal econometric model. As a baseline for forecasting comparisons, they also use new variants of univariate unobserved components models. Forecasting evaluation is based on a variety of accuracy measures to avoid misleading conclusions. © 2006 LSE and the University of Bath

[1]  J. Pucher,et al.  Verkehrsverbund: the success of regional public transport in Germany, Austria and Switzerland , 1995 .

[2]  Peter C. Young,et al.  An ARMA Representation of Unobserved Component Models under Generalized Random Walk Specifications: New Algorithms and Examples , 2002 .

[3]  Antonio García-Ferrer,et al.  Can univariate models forecast turning points in seasonal economic time series , 1998 .

[4]  Fred L. Collopy,et al.  Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .

[5]  Charles Lave.  A BEHAVIORAL APPROACH TO MODAL SPLIT FORECASTING , 1969 .

[6]  Mark Wardman,et al.  Demand for rail travel to and from airports , 2002 .

[7]  Antonio García-Ferrer,et al.  A note on forecasting international tourism demand in Spain , 1997 .

[8]  Andrew Harvey,et al.  Forecasting, Structural Time Series Models and the Kalman Filter , 1990 .

[9]  F. FitzRoy,et al.  Season Tickets and the Demand for Public Transport , 1999 .

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

[11]  D. Hensher.  ESTABLISHING A FARE ELASTICITY REGIME FOR URBAN PASSENGER TRANSPORT. IN: RAILWAYS , 1998 .

[12]  J C Carbajo.  The economics of travel passes , 1988 .

[13]  Ginés de Rus.  PUBLIC TRANSPORT DEMAND ELASTICITIES IN SPAIN , 1990 .

[14]  D. Gillen,et al.  Alternative Policy Variables to Influence Urban Transport Demand , 1977 .

[15]  George E. P. Box,et al.  Intervention Analysis with Applications to Economic and Environmental Problems , 1975 .

[16]  P. Young,et al.  Dynamic harmonic regression. , 1999 .

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

[18]  Robert Fildes,et al.  The evaluation of extrapolative forecasting methods , 1992 .

[19]  Joyce Dargay,et al.  The demand for local bus services in England , 2002 .

[20]  Howard Slavin,et al.  An integrated, dynamic approach to travel demand forecasting , 1996 .

[21]  A. Matas,et al.  Demand and Revenue Implications of an Integrated Public Transport Policy: The Case of Madrid , 2004 .