2012
DOI: 10.1016/j.jtrangeo.2012.02.006
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Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters

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Cited by 116 publications
(61 citation statements)
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“…The resulting model appears in Table 1, where it can be seen that residual spatial autocorrelation has been successfully removed by means of a filter composed of 19 eigenvectors. An over-dispersion factor is estimated to provide sharper inference of the coefficients (see Moniruzzaman and Pá ez, 2012). Table 1 shows the list of variables tested for the model, and those retained with significance levels at pr0.05.…”
Section: Contextmentioning
confidence: 99%
“…The resulting model appears in Table 1, where it can be seen that residual spatial autocorrelation has been successfully removed by means of a filter composed of 19 eigenvectors. An over-dispersion factor is estimated to provide sharper inference of the coefficients (see Moniruzzaman and Pá ez, 2012). Table 1 shows the list of variables tested for the model, and those retained with significance levels at pr0.05.…”
Section: Contextmentioning
confidence: 99%
“…Generally, transit accessibility is deemed as index values to assess the degree of ease in reaching the transit service or transit facility (Moniruzzaman & Páez, 2012). It is often defined with environmental inputs (Rastogi & Rao, 2003).…”
Section: Transit Accessibility Without Considering Temporal Dimensionmentioning
confidence: 99%
“…The ''to transit'' measure is concerned with factors influencing the accessibility to the transit service or transit facility. Related factors include: the distance to the transit station, the length and width of the walking connector, the behavior of passenger influenced by the walking time, and the level of service of the transit facility (Delmelle & Casas, 2012;Foth, Manaugh, & El-Geneidy, 2013;Moniruzzaman & Páez, 2012). The ''by transit'' measure focuses on the convenience degree of accessing the transit service from a specific facility.…”
Section: Transit Accessibility Without Considering Temporal Dimensionmentioning
confidence: 99%
“…Most studies of social equity and public transit accessibility entail an aggregate comparison between transit need and transit supply. In these studies, transit need is often established over space as a measure of socioeconomic status in neighborhood units while transit supply is typically measured at the neighborhood level as the ease of reaching transit facilities (Murray et al, 1998;O'Neill, Ramsey and Chou, 1992;Moniruzzaman and Páez, 2012), reaching transit facilities weighted by level of service (Rood and Sprowls, 1998;Henk and Hubbard, 1996;Ryus et al, 2000;Hunter-Zaworski, 2003;Drew and Rowe, 2010;Al Mamun and Lownes, 2011;Currie, 2010), or reaching actual destinations with transit (O'Sullivan, Morrison and Shearer, 2000;Lei and Church, 2010;Foth, Manaugh and ElGeneidy, 2013;Páez and Farber, 2012;Farber, Morang and Widener, 2014). One drawback of these studies is that transit need is poorly characterized by zonal population characteristics since different population groups demand travel to different types of destinations at different times of the day.…”
Section: Introductionmentioning
confidence: 99%
“…Public transit accessibility has been extensively studied from the perspectives of station access (Murray et al, 1998;O'Neill, Ramsey and Chou, 1992;Moniruzzaman and Páez, 2012), average service frequency (Rood and Sprowls, 1998;Henk and Hubbard, 1996;Ryus et al, 2000;Hunter-Zaworski, 2003;Drew and Rowe, 2010;Al Mamun and Lownes, 2011) and origindestination travel times (O'Sullivan, Morrison and Shearer, 2000;Lei and Church, 2010). These can all be considered static measures of access, since the score for a particular location does not vary temporally.…”
Section: Introductionmentioning
confidence: 99%