Transit ridership forecasting at station level: an approach based on distance-decay weighted regression

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How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas (2018, methodology): “Finally, the influence of mixed land uses were 118 found to be positively related in many studies, e.g. Gutiérrez et al. (2011), but with some studies finding 119 inconsistent effects across different study areas (Buehler, 2011; Sung et al., 2014).”
Distance-decay functions for daily travel-to-work flows (2014, methodology): “Gutiérrez et al. (2011) analyse the more complex issue of ridership that comprises more travel modes within the intraurban environment and they apply a weighted distance decay concept.”