01555453

Component

Taking a taxi is getting more difficult in Chinese cities recently due to rapid growth in taxi travel demand. Taxi-pooling, defined as sharing a taxi by multi groups of passengers in a semi-common route and operating with shorter waiting time and relatively lower fare, is viewed as an effective alternative to increase taxi service supply. However, the popularization of taxi-pooling is still hindered by difficulties in matching ideal taxi-poolers effectively. This paper aims to get valuable insights into taxi-pooling agreement-reaching mechanism, and then quantify an individual’s taxi-pooling preference for screening out the most possible matches, which enables personalized pooling information push. Firstly, basic design for dynamic taxi-pooling systems is proposed and the agreement-reaching mechanism is fully analyzed. Secondly, an agreement-reaching model based on Binary Logit (BL) model is established, with the consideration of an optimal cost allocation method. Finally, the calculation of probabilities of agreement-reaching in a specified taxi-pooling context is carried out based on the proposed model. The results indicate that matches provided by the proposed approach can improve the efficiency of passengers’ decision-making, thus increase the success rate of taxi-pooling to a large extent.

This paper was sponsored by TRB committee AP060 Paratransit.

01550057

15-4021

English

16p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Carpools; Decision making; Logits; Passengers; Ridesharing; Taxi services; Travel demand

Agreements

China

Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-4021

TRIS, TRB, ATRI

Dec 30 2014 1:18PM