Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas
By B. Taylor, Douglas Miller, Hiroyuki Iseki, Camille N. Y. Fink. 2008
434 citations recorded by the source corpus.
Subfields: Automotive Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/b9fca09bfa023ffb9acc17005fb8ed0fa11d5ead
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Transportation
- Cynthia Chen
- D. Varley
- Jason Li Chen
- T. Litman
- Otto Anker Nielsen
- Jesper Bláfoss Ingvardson
- Brian Ferris
- K. Dziekan
Citations in the corpus
- What Affects Transit Ridership? A Dynamic Analysis involving Multiple Factors, Lags and Asymmetric Behaviour (2011, background): “In comparison with previous studies, population and employment elasticities usually fall within the range of 1.04–1.75 (McLeod et al., 1991; Taylor et al., 2009).”
- How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas (2018, methodology): “83 Two-stage least square (2SLS) has been proposed to take into account correlation between the depend-84 ent variable and independent variables (Cordera et al., 2015; Estupiñán and Rodríguez, 2008; Souche, 85 2010; Taylor et al., 2009).”
- Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders (2011, background): “Although higher transit ridership is explained mostly by regional geography, economy, population, and transportation system characteristics (Taylor et al., 2009), it has been shown that real-time transit traveler information can result in a mode-shift to public transportation (Multisystems, 2003).”
- Understanding Transport Demands and Elasticities: How Prices and Other Factors Affect Travel Behavior (2012, background): “Several factors can affect public transit elasticities (Litman 2004; McCollom and Pratt 2005; Paulley 2004; Pratt and Evans 2004; Taylor et al. 2009; TRL 2004; Wang 2011; Wardman and Shires 2003 and 2011): User Type.”
- Preferences in regional public transport: a literature review (2019, background): “In order to include in the analysis all internal factors over which public transport managers exercise a certain level of control [29], cost has been added to the framework.”