Modelo de comportamiento del usuario en la búsqueda de aparcamiento

Autores/as

  • Gonzalo Antolín San Martín Universidad de Cantabria
  • Luigi dell´Olio Universidad de Cantabria
  • Jose Luis Moura Berodia Universidad de Cantabria
  • Ángel Ibeas Portilla Universidad de Cantabria

Palabras clave:

parking choice, D-error, modelos de elección discreta.

Resumen

En este artículo se presenta una metodología para diseñar encuestas de preferencias declaradas orientadas a definir el comportamiento del usuario en la elección de la tipología de aparcamiento y se estiman modelos de elección discreta para estudiar dicho comportamiento. El diseño de la encuesta se lleva a cabo usando la técnica del d-error y se estiman modelos logit considerando variaciones sistemáticas y aleatorias en los gustos de los usuarios. Los modelos evidencian la heterogeneidad en la percepción de la tarifa, así como, la alta influencia de otras variables como la edad del vehículo o la posesión de tarjeta de residencia. 

Biografía del autor/a

Gonzalo Antolín San Martín, Universidad de Cantabria

Doctorando.

Grupo de Investigación de Sistemas de Transporte.

Luigi dell´Olio, Universidad de Cantabria

Grupo de Investigación de Sistemas de Transporte

Jose Luis Moura Berodia, Universidad de Cantabria

Grupo de Investigación de Sistemas de Transporte

Ángel Ibeas Portilla, Universidad de Cantabria

Grupo de Investigación de Sistemas de Transporte

Citas

Ahmadi Azari, K., Arintono, S., Hamid, H., y Rahmat, R. A. O. K. (2013). Modelling demand under parking and cordon pricing policy. Transport Policy, 25, 1-9.

Bianco M. J. Effective transportation demand management – combining parking pricing, transit incentives, and transportation management in a commercial district of Portland, Oregon. High-Occupancy. Vehicle Systems and Demand Management, 2000, 1711, 46–54.

Box, P. C. (2004). Curb-parking problems: Overview. Journal of Transportation Engineering, 130 (1), 1–5.

Chang, F., Xie, B., y Wang, Z. (2012). Simulation study of parking choice behaviour based on multi-agent. Journal of Wuhan University of Technology (Transportation Science and Engineering), 36(6), 1283-1287.

Dell'Olio, L., Ibeas, A., y Moura, J. L. (2009). Paying for parking: improving stated-preference surveys. Proceedings of the ICE-Transport, 162(1), 39-45.

Guo, L., Huang, S., Zhuang, J., y Sadek, A. W. (2013). Modelling parking behaviour under uncertainty: A static game theoretic versus a sequential neo-additive capacity modelling approach. Networks and Spatial Economics, 13(3), 327-350.

Hensher, D. A., & King, J. (2001). Parking demand and responsiveness to supply, pricing and location in the Sydney central business district. Transportation Research Part A: Policy and Practice, 35(3), 177-196.

Hess, S., & Polak, J. W. (2004, January). Mixed Logit estimation of parking type choice. In 83rd Annual Meeting of the Transportation Research Board, Washington, DC (pp. 561-582).

Hess, S., & Polak, J. W. (2009). Mixed Logit modelling of parking type choice behaviour. Transportation Statistics (77-102). JD Ross Publishing.

Ibeas, A., dell’Olio, L., y Barreda, R. (2010). Citizen Involvement in Promoting Sustainable Mobility. Journal of Transport Geography, 19 (4).

Ibeas, A., Cordera, R., dell’Olio, L. y Moura, J.L. (2011). “Modelling demand in restricted parking zones”. Transportation Research Part A: Policy and Practice, 45(6), 485-498.

Ibeas, A., Dell’Olio, L., Bordagaray, M., & Ortúzar, J. D. D. (2014). Modelling parking choices considering user heterogeneity. Transportation Research Part A: Policy and Practice, 70, 41-49.

Kelly, J. A., y Clinch, J. P. (2006). Influence of varied parking tariffs on parking occupancy levels by trip purpose. Transport Policy, 13(6), 487-495.

Kuppam, A. R., Pendyala, R. M., y Gollakoti, M. A. V. (1998). Stated response analysis of the effectiveness of parking pricing strategies for transportation control. Transportation Research Record (1649), 39-46.

Nurul Habib, K. M., Morency, C., y Trépanier Martin, M. (2012). Integrating parking behaviour in activity-based travel demand modelling: Investigation of the relationship between parking type choice and activity scheduling process. Transportation Research Part A: Policy and Practice, 46(1), 154-166.

Rose, J.M. y Bliemer, M.C.J., 2009. Constructing efficient stated choice experimental designs. Transp. Rev. 29, 587–617.

Sattayhatewa, P., y Smith jr., R. L. (2003). Development of parking choice models for special events. Transportation Research Record (1858), 31-38.

Shiftan Y. and Burd-Eden R. Modeling response to parking policy. High-Occupancy Vehicle Systems and Demand Management, 2001, 1765, 27–34.

Sillano, M., & de Dios Ortúzar, J. (2005). Willingness-to-pay estimation with mixed logit models: some new evidence. Environment and Planning A, 37(3), 525-550.

Shoup, D. C. (2006). Cruising for parking. Transport Policy, 13(6), 479-486.

Ukpong, I., Dissanayake, D., y Zhang, B. (2006). Development of a micro-simulation traffic model to investigate on-street parking and its impacts on sustainable environments: A case study in the city of Newcastle upon Tyne. 13th ITS World Congress, London, Toronto, Canada.

Washbrook, K., Haider, W., & Jaccard, M. (2006). Estimating commuter mode choice: A discrete choice analysis of the impact of road pricing and parking charges. Transportation, 33(6), 621-639.

Yousif, S., y Purnawan, S. (1999). On-street parking: Effects on traffic congestion. Traffic Engineering Control, 40 (9), 424–427.

##submission.downloads##

Publicado

03-08-2016

Número

Sección

Artículo Sistemas de Transporte