2012
DOI: 10.1016/j.apgeog.2012.01.005
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Application of geographically weighted regression to the direct forecasting of transit ridership at station-level

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Cited by 263 publications
(179 citation statements)
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“…Nevertheless, GIS-T environments have been focused almost exclusively on the optimal location of facilities and calculating minimum cost routes or service areas for specific equipment (Murray and Tong, 2009;Lei and Church, 2010;Rybarczyk and Wu, 2010;Delmelle et al, 2012). However, few studies have applied these generic GIS environments with relational databases to the design of models containing estimated trips (Cardozo et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, GIS-T environments have been focused almost exclusively on the optimal location of facilities and calculating minimum cost routes or service areas for specific equipment (Murray and Tong, 2009;Lei and Church, 2010;Rybarczyk and Wu, 2010;Delmelle et al, 2012). However, few studies have applied these generic GIS environments with relational databases to the design of models containing estimated trips (Cardozo et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Dada la importancia que ha cobrado el problema de la movilidad segura en el acceso al entorno educativo y el hecho de que el 58 % de los desplazamientos detectados en población con edades comprendidas entre los 6 y los 20 años son por motivos de estudios (Ministerio de Fomento, 2007), resulta clave diagnosticar las pautas de desplazamiento seguidas por los alumnos en dicho acceso y considerar al mismo tiempo su coincidencia en el tiempo y el espacio con otros flujos urbanos (Cardozo et al, 2012). De esta forma, se busca convertir el itinerario escolar habitual en un entorno adaptado definido por un acceso seguro y autónomo al centro educativo, que mejore la salud (McDonald, 2007a;Andersson et al, 2012) y la socialización de los alumnos (Davis y Jones, 1997; Collins y Kearns, 2001), junto a la disponibilidad de espacios verdes y servicios básicos que favorezcan el desarrollo de actividades diversas minimizando la contaminación ambiental (Collins y Kearns, 2001;Kyttä, 2008;Broberg et al, 2013).…”
Section: Introductionunclassified
“…In contrast to the more traditional ordinary least-squares regression (OLS), GWR can solve the problem of spatial autocorrelation in residuals and can reduce the instability of space [90][91][92][93][94]. GWR produces a separate set of regression parameters for every observation across the study area.…”
Section: Influential Factors In Environmental Change Efficiencymentioning
confidence: 99%