A model for forecasting public transit

Travel demand estimation risk for high‐speed railway transport considering travel price competition

“…Following A1, we apply a gravity model for trade (Alam et al . ) to represent the mean demand for travel by public transport in year t (≥ t B ), that is, , because it is thought that economic growth as well as both the populations of the origin and destination regions and the inclusive travel cost associated with the travel can influence the travel demand. The gravity model for trade is the generalized version of a well‐known gravity model that is used in the transportation research fields (see, for example, ).…”

Development of methods for estimating public transport shares under complementary operating conditions

“… annual time series data (for example Hendrickson, 1986;FitzPoy and Smith, 1988;Kyte et al, 1988, Gomez-Ibanez, 1996Romilly, 2001)  quarterly time series data (Doti and Adibi, 1991)  monthly time series data (Gaudry, 1975;Doi and Allen, 1986;Rose, 1986;Agthe and Billings, 1978;Gkritza et al, 2004;Currie and Phung, 2008;Chen et al, 2011;Chiang et al, 2011)  daily time series data (Guo et al, 2007;Stover and McCormack, 2012) (c) Panel Data Panel data analysis is used when the data set has information derived from many different units (indexed by i) observed over many periods of time (indexed by t). Thus, both the time series and the cross sectional nature of the data are present.…”

“…Several studies have proved that employment level has a positive impact on PT ridership (Hendrickson, 1986;McLeod, 1991;Doti and Adibi, 1991;Gomez Ibanez, 1996;Chung, 1997;Kuby et al, 2004). Hendrickson (1986) examined the relationship between Central Business District (CBD) employees and commuting by public transportation in 25 US metropolitan areas and found that they are intimately related.…”

“…Hendrickson (1986) examined the relationship between Central Business District (CBD) employees and commuting by public transportation in 25 US metropolitan areas and found that they are intimately related. Doti and Adibi (1991) estimated the elasticity of monthly PT ridership in Orange country in California with respect to the employment level 1.74. Gomez Ibanez, (1996) show that employment level is the main determinant of transit ridership in Boston between 1970 and 1980.…”