Research On Urban Rail Transit Route Choice Model Considering Physical Energy Consumption Of Travellers

Along with the construction and development of urban rail transit, it has become one of the most important transportation for urban residents. Urban rail transit has to be connected with other transportation to achieve the "door to door" transport service. Research on the problem of route choice of the whole travel process mainly on urban rail transit, which includes the selection of connection mode, connection route and transfer station, helps to promote the construction of better connection and transfer system and to improve the utilization rate of urban rail transit.Traveller’s feeling decides the route choice results, which is the internal reflection of the travel fatigue. From the point of physiology, traveller’s energy consumption causes travel fatigue, so it affects route choice results indirectly. Therefore, considering the physical energy consumption of travellers helps to master the actual route choice rules and to improve the service level of transportation equipment and facilitiesThis thesis addresses the problem of route choice of the whole travel process mainly on urban rail transit while considering physical energy consumption of travellers. The main work in this thesis could be summarized as follows.(1)The experiment plan for obtaining physical energy consumption of each travel scene is designed based on the characteristic of traveller and travel activity. And the experimental results are analyzed to achieve unit time energy consumption and the influence degree of each factor to the unit time energy consumption.(2)The travel energy consumption value coefficient is put forward to transform energy consumption into economy. The definition, equation and solution of travel energy consumption value coefficient are presented as well.(3)Based on the characteristic of route choice problem of the whole travel process mainly on urban rail transit, a route choice model combined with CNL and MNL is developed, which can be divided into three layers, such as mode layer, plan layer and route layer. The selected probability of route is related to each layer.(4)The study takes route choice from Beijing Jiaotong University to Tiantongyuan area as an example to testify the validity and applicability of the model, including the theoretical analysis of the necessity of taking physical energy consumption into account and the performance of the route choice model combined with CNL and MNL.