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Modelling demand in restricted parking zones


  • Ibeas, Ángel
  • Cordera, Ruben
  • dell'Olio, Luigi
  • Moura, Jose Luis


Multiple linear regression (MLR) and geographically weighted regression (GWR) models are used for estimating parking demand in areas with paid short stay parking systems. These models have been applied to the city of Santander (Cantabria, Spain) to check their goodness of fit and their predictive ability. The results show the main advantages and disadvantages of using GWR models. The technique proved to be useful in this case study because it offered a better fit and made better predictions in a scenario showing a certain degree of spatial heterogeneity unexplained by any of the variables introduced into the global model. However, the GWR model also presented situations of local correlation although this was considered moderate given the results provided by the variance inflation factors and the local condition indexes.

Suggested Citation

  • Ibeas, Ángel & Cordera, Ruben & dell'Olio, Luigi & Moura, Jose Luis, 2011. "Modelling demand in restricted parking zones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 485-498, July.
  • Handle: RePEc:eee:transa:v:45:y:2011:i:6:p:485-498

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    References listed on IDEAS

    1. Goyal, S. K. & Gomes, L. F. A. M., 1984. "A model for allocating car parking spaces in universities," Transportation Research Part B: Methodological, Elsevier, vol. 18(3), pages 267-269, June.
    2. David C Wheeler, 2007. "Diagnostic tools and a remedial method for collinearity in geographically weighted regression," Environment and Planning A, Pion Ltd, London, vol. 39(10), pages 2464-2481, October.
    3. David Wheeler & Michael Tiefelsdorf, 2005. "Multicollinearity and correlation among local regression coefficients in geographically weighted regression," Journal of Geographical Systems, Springer, vol. 7(2), pages 161-187, June.
    4. Shoup, Donald C., 1999. "The trouble with minimum parking requirements," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 549-574.
    5. Hensher, David A. & King, Jenny, 2001. "Parking demand and responsiveness to supply, pricing and location in the Sydney central business district," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(3), pages 177-196, March.
    6. Coro Chasco Yrigoyen, 2004. "Modelos De Heterogeneidad Espacial," Econometrics 0411004, University Library of Munich, Germany.
    7. repec:ucp:bkecon:9781884829987 is not listed on IDEAS
    8. Bifulco, Gennaro Nicola, 1993. "A stochastic user equilibrium assignment model for the evaluation of parking policies," European Journal of Operational Research, Elsevier, vol. 71(2), pages 269-287, December.
    9. repec:eee:jotrge:v:18:y:2010:i:1:p:153-165 is not listed on IDEAS
    10. Marsden, Greg, 2006. "The evidence base for parking policies--a review," Transport Policy, Elsevier, vol. 13(6), pages 447-457, November.
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    Cited by:

    1. Simićević, Jelena & Vukanović, Smiljan & Milosavljević, Nada, 2013. "The effect of parking charges and time limit to car usage and parking behaviour," Transport Policy, Elsevier, vol. 30(C), pages 125-131.
    2. Arnott, Richard & Rowse, John, 2013. "Curbside parking time limits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 89-110.
    3. Gragera, Albert & Albalate, Daniel, 2016. "The impact of curbside parking regulation on garage demand," Transport Policy, Elsevier, vol. 47(C), pages 160-168.
    4. Chang, Ching-Ter & Chung, Cheng-Kung & Sheu, Jiuh-Biing & Zhuang, Zheng-Yun & Chen, Huang-Mu, 2014. "The optimal dual-pricing policy of mall parking service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 223-243.
    5. repec:eee:jotrge:v:24:y:2012:i:c:p:370-382 is not listed on IDEAS
    6. Milosavljević, Nada & Simićević, Jelena, 2016. "User response to parking policy change: A comparison of stated and revealed preference data," Transport Policy, Elsevier, vol. 46(C), pages 40-45.
    7. repec:eee:transa:v:116:y:2018:i:c:p:622-634 is not listed on IDEAS
    8. repec:gam:jsusta:v:11:y:2018:i:1:p:120-:d:193376 is not listed on IDEAS


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