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An analysis of parking behaviour using discrete choice models calibrated on SP datasets

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  • Stephane Hess
  • John W. Polak

Abstract

Parking policy is an important component of contemporary travel demand management policies. The effectiveness of many parking policy measures depends on influencing parking type choice, so that understanding the factors affecting these choices is of considerable practical importance. Yet, academic interest in this issue has been, at best, intermittent. This paper reports the results of an analysis of parking choice behaviour, based on a stated preference (SP) dataset, collected in various city centre locations in the UK. The analysis advances the state of the art in the analysis of parking choice behaviour by using a mixed multinomial logit (MMNL) model, capable of accommodating random heterogeneity in travellersÂ’ tastes and potential correlation structure induced by repeated observations being made of the same individuals. The results of the analysis indicate that taste heterogeneity is a major factor in parking type choice. Accommodating this heterogeneity leads to significantly different conclusions regarding the influence of substantive factors such as access, search and egress time and on the treatment of potential fines for illegal parking. It also has important effects on the implied willingness to pay for timesavings and on the distribution of this willingness in the population. Our analysis also reveals important differences in parking behaviour across different journey purposes, and the models reveal an important locational effect, in such that the results of the analysis vary substantively across the three locations used in the SP surveys. Finally, the paper also discusses a number of technical issues related to the specification of taste heterogeneity that are of wider significance in the application of the MMNL model.

Suggested Citation

  • Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa04p60
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    References listed on IDEAS

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    Cited by:

    1. José Javier Soto Martínez & Luis Gabriel Márquez Díaz & Luis Fernando Macea Mercado, 2018. "Preferencias sobre alternativas de estacionamiento en Cartagena: ¿cuánto están dispuestos a pagar los conductores?," Documentos de Trabajo 018327, Universidad Tecnológica de Bolívar.
    2. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    3. Liangpeng Gao & Yanjie Ji & Xingchen Yan & Yao Fan & Weihong Guo, 2021. "Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance," Transportation, Springer, vol. 48(2), pages 1033-1060, April.
    4. José Javier Soto Martínez & Luis Gabriel Márquez Díaz & Luis Fernando Macea Mercado, 2018. "Preferencias sobre alternativas de estacionamiento en Cartagena: ¿cuánto están dispuestos a pagar los conductores?," Documentos de Trabajo 018277, Universidad Tecnológica de Bolívar.
    5. José Javier Soto Martínez & Luis Gabriel Márquez Díaz & Luis Fernando Macea Mercado, 2018. "Preferencias sobre alternativas de estacionamiento en Cartagena: ¿Cuánto están dispuestos a pagar los conductores?," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 12(2), pages 163-180, December.
    6. Saki, Siavash & Hagen, Tobias, 2024. "Cruising for parking again: Measuring the ground truth and using survival analysis to reveal the determinants of the duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    7. Macea, Luis F. & Serrano, Iván & Carcache-Guas, Camila, 2023. "A reservation-based parking behavioral model for parking demand management in urban areas," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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