Paying for parking : improving stated-preference surveys

This article describes an experiment which introduced random ranges into the variables used for the design of a stated preference survey and its effects on willingness to pay for parking. User behaviour at the time of parking was modelled to determine their willingness to pay in order to get to their final destination more quickly. Calculating willingness to pay is fundamental during the social and economic assessment of projects. It is important to correctly model how car parks and their users interact in order to get values which represent reality as closely as possible. Willingness to pay is calculated using a stated preference survey and by calibrating multinomial logit models, taking variable tastes into account. It is shown that a value with a low variability can be obtained for willingness to pay by correctly establishing the context of the choice and randomly changing the variables around an average value.

[1]  D. Hensher.  The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications , 2001 .

[2]  Joel Huber,et al.  The Importance of Utility Balance in Efficient Choice Designs , 1996 .

[3]  Juan de Dios Ortúzar,et al.  Confidence intervals to bound the value of time , 2001 .

[4]  D.P.J. van der Goot.  A model to describe the choice of parking places , 1982 .

[5]  K. Axhausen,et al.  Choice of parking: Stated preference approach , 1991 .

[6]  Y. Shiftan,et al.  Modeling Response to Parking Policy , 2000 .

[7]  Michel Wedel,et al.  Heterogeneous Conjoint Choice Designs , 2005 .

[8]  J. Hunt,et al.  Parking location choice: insights and representations based on observed behaviour and the hierarchical logit modelling formulation , 1988 .

[9]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[10]  Arun R Kuppam,et al.  Stated Response Analysis of the Effectiveness of Parking Pricing Strategies for Transportation Control , 1998 .

[11]  K. Train.  Recreation Demand Models with Taste Differences Over People , 1998 .

[12]  Gökmen Ergün.  DEVELOPMENT OF A DOWNTOWN PARKING MODEL , 1971 .

[13]  M. J. Bianco,et al.  Effective Transportation Demand Management: Combining Parking Pricing, Transit Incentives, and Transportation Management in a Commercial District of Portland, Oregon , 2000 .

[14]  David Gillen,et al.  Parking policy, parking location decisions and the distribution of congestion , 1978 .

[15]  F. Carlsson.  The demand for intercity public transport: the case of business passengers , 2003 .

[16]  E. Ferguson.  Parking and Accessibility , 2005 .

[17]  Robert L Smith,et al.  Development of Parking Choice Models for Special Events , 2003 .

[18]  Sergio R. Jara-Díaz,et al.  Detection of income effect in mode choice: theory and application , 1989 .

[19]  Willingness to Pay for Better Access to Final Destination by Using an Underground Car Park , 2007 .

[20]  Jordan J. Louviere,et al.  Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments , 2005 .

[21]  Aloys Borgers,et al.  PAMELA: Parking Analysis Model for Predicting Effects in Local Areas , 2002 .

[22]  Michel Wedel,et al.  Profile Construction in Experimental Choice Designs for Mixed Logit Models , 2002 .

[23]  G Kocur,et al.  GUIDE TO FORECASTING TRAVEL DEMAND WITH DIRECT UTILITY ASSESSMENT , 1981 .

[24]  D. B. Hess,et al.  Effect of Free Parking on Commuter Mode Choice: Evidence from Travel Diary Data , 2001 .

[25]  D. Hensher,et al.  Parking Demand and Responsiveness to Supply, Pricing and Location in the Sydney Central Business District , 2001 .

[26]  Juan de Dios Ortúzar,et al.  Confidence Interval for Willingness to Pay Measures in Mode Choice Models , 2006 .

[27]  David A. Hensher,et al.  Measurement of the Valuation of Travel Time Savings , 2000 .