| | Authors | Data | Travel modes | Variables | Method |
| | Forinash & Koppelman [32] | Data collected by the Canadian national rail carrier through rail passenger reviews in the Toronto–Montreal corridor | Airplane, express bus, car, train | Frequency, travel cost, in-vehicle travel time, out-of-vehicle travel time | NL | | Bhat [36] | Data collected by the Canadian national rail carrier through rail passenger reviews in the Toronto–Montreal corridor | Car, airplane, train, express bus | Large city, household income, frequency, travel cost, travel time | MNL, NL, heteroscedastic extreme value model | | Bhat [33] | Data from the Canadian national rail carrier in 1989 | Train, airplane, car | Income, gender, travel group size, frequency, travel cost, travel time, large city | MNL, NL | | Bhat [33] | Data collected by the canadian national rail carrier through rail passenger reviews in the toronto–Montreal corridor | Train, airplane, car | Income, gender, travel group size, day of travel, trip distance, frequency, total cost, in-vehicle travel time, out-of-vehicle travel time, large city | Endogenous segmentation model | | Bhat [10] | Data collected by the Canadian national rail carrier through rail passenger reviews in the Toronto–Montreal corridor | Train, airplane, car | Frequency, total cost, in-vehicle time, out-of-vehicle time, income, gender, travel group size, large city, income, travel alone, day of travel, trip distance, weekend travel | Fixed- and random-coefficient logit models | | Lee et al. [39] | Stated preference survey conducted by the Korean society of transportation in the HoNam corridor in South Korea | Car, bus, train, airplane, HSR | Vehicles in the household, travel group size, baggage/children, higher income group, business trip, access/egress time, access/egress cost, in-vehicle time, travel cost | MNL, ML | | Yao & Morikawa (2005) | Data from railway users originating from one of the six main Japanese metropolitan areas | Shinkansen, airplane, regular train, express bus, car | Travel cost, line-haul time, access time, frequency, share of working population, share of working population in service sector, attractiveness | Integrated mode/route choice model, destination choice model, trip generation model | | Yao et al. (2002) | SP&RP survey data from most areas of Japan | HSR, train, airplane, express bus, car | Travel cost, line-haul time, terminal time, frequency | NL | | Wen et al. [11] | Data from Taiwan HSR corporation RP & SP surveys in 2007 | City bus, train, car, motorcycle, express shuttle bus, taxi | Access cost/income, parking fee/income, access time/distance, waiting time | Latent class multinomial logit model, latent class nested logit model | | Miskeen et al. [13] | Data from a transport survey conducted by the author from all major intercity corridors in Libya in 2010 | Private car, intercity bus, airplane | Age, gender, nationality, monthly income, dwell time at destination, travel purpose, access distance to airport/bus terminal, total travel cost, car availability, privacy, convenience | MNL | | Du et al. (2015) | Data from intercity trips from lafayette, Indiana, to Washington, D.C. | Airplane, rail, private car, public transit | Travel time, travel fare, waiting time | Bilevel optimization model, bilevel mixed-integer model | | Zheng et al. [35] | Data from a survey in five Australian state capitals | Bus, train, car | Time to station, waiting time, time in vehicle, fare, crowding level, time to destination, free wireless, laptop station, fuel cost, daily parking | Random-effects logit model | | Sperry et al. [16] | Data from a survey of residents in two communities in central Texas | Automobile, intercity bus, intercity rail, regional airline | Gender, age, number of vehicles in family, number of adults in family, number of children in family, educational level, annual household income | Random parameter logit model | | Hess et al. [31] | Data from northeast corridor (NEC) and cascade corridor | Rail, airplane, car, bus | Gender, age, education, employment, households with fewer cars than adults, households with more cars than licenses, west coast, journey purpose, party size, trip length in terms of overnight stays, frequency | Hybrid choice model |
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