2024 Volume 15 Pages 834-845
In metropolitan areas, transit networks have been extending and becoming increasingly complex, thus enabling more route choices. Apart from fare and travel time, interchange and crowding conditions also affect route choice behaviour. This paper reviewed factors influencing route choice, focusing on interchange and crowding effects. A stated preference (SP) technique was used to develop transit route choice models, based on standard logit and random parameters logit (RPL) models. The study found that these values are rather high, compared to the value of in-vehicle travel time. Therefore, it is crucial to ensure that interchange facilities are comfortable and sufficient for passengers. Additionally, the effects of interchange and crowding should be coordinated with demand forecasting models. Although, the absolute values for Bangkok cannot be directly compared to the values found in developed countries, the relative values (multiplier of in-vehicle time) are comparable and would be transferable to other cities and countries.