What Affects Transit Ridership? A Dynamic Analysis involving Multiple Factors, Lags and Asymmetric Behaviour

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Understanding the Recent Transit Ridership Decline in Major US Cities: Service Cuts or Emerging Modes? (2019, methodology): “Similar panel 43 data methods used previously to study the determinants of transit ridership changes (12–14), with 44 those methods offering an advantage over time-series models which are sometimes used as well 45 (15, 16) because the panel models can consider data from multiple cities at once.”
Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction (2018, background): “Furthermore, the quality of service attributes such as cleanliness, comfort, and punctuality are important elements affecting public transport ridership (e.g., Chen et al., 2011; dell’olio et al., 2011; Lai and Chen, 2011; van Lierop et al., 2018).”
How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas (2018, background): “…ranged from focusing on single lines based on data on the individual level, 34 e.g. Buehler (2011), or aggregate data, e.g. Cervero et al. (2010); Chen et al. (2010), to covering larger 35 metropolitan areas using aggregate characteristics, e.g. Gutiérrez et al. (2011); Kuby et al. (2004); 36…”