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Modelling demand in restricted parking zones

Abstract: 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.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Autoría: Ibeas A., Cordera R., dell'Olio L., Moura J.L.,

 Fuente: Transportation Research Part A: Policy and Practice 2011,45(6),485-498

Editorial: Elsevier Ltd

 Fecha de publicación: 01/07/2011

Nº de páginas: 14

Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.tra.2011.03.004

ISSN: 0965-8564,1879-2375

Proyecto español: E 21/08 - INTERLAND

Url de la publicación: https://doi.org/10.1016/j.tra.2011.03.004