Modeling of ride-sourcing demand for inner-city tripsThe use of the discrete choice method for Tabriz City

Nowadays, urban transportation is one of the most important issues and challenges in urban economics. The development of cities and the emergence of phenomena such as population density, traffic, air pollution, and so on, have made obvious the necessity of using new, inclusive, and cost-effective technologies in the field of urban transportation services. In this regard, this paper models the demand for ride-sourcing for inner-city trips in Tabriz City. Our model is based on the Lancaster demand theory using the hedonic price function and cost analysis method. We estimated the ride-sourcing choice probability for inner-city trips by applying the logit discrete choice method. The results obtained from the estimation of the ride-sourcing taxi demand model have shown the sensitivity of passengers to the time costs of traveling with this type of taxi. Also, the results of demand analysis show that the decrease in trip velocity due to city traffic causes to increase in demand for ride-sourcing.