TY - JOUR
T1 - Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets
AU - Wang, Xiaolei
AU - Liu, Wei
AU - Yang, Hai
AU - Wang, Dan
AU - Ye, Jieping
N1 - Funding Information:
The work described in this paper is supported by grants from the National Natural Science Foundation of China under Project No. 71401102 , No. 71531011 and No. 71890973 , a grant from Hong Kong's Research Grants Council under project No. HKUST16222916 , and a grant from NSFC/RGC joint research scheme under project No. N_HKUST627/18 . The authors are grateful to Didi Chuxing ( http://www.xiaojukeji.com ) for providing us analysis data.
Funding Information:
The work described in this paper is supported by grants from the National Natural Science Foundation of China under Project No.71401102, No. 71531011 and No. 71890973, a grant from Hong Kong's Research Grants Council under project No.HKUST16222916, and a grant from NSFC/RGC joint research scheme under project No. N_HKUST627/18. The authors are grateful to Didi Chuxing (http://www.xiaojukeji.com) for providing us analysis data.
Publisher Copyright:
© 2019
PY - 2020/2
Y1 - 2020/2
N2 - In today's world, massive on-demand mobility requests are dispatched every hour on ride-sourcing platforms, however, customers later cancel quite a number of these confirmed orders. This paper makes the first attempt to look into this customer confirmed-order cancellation behaviour based on a two-month, hourly average dataset of Didi Express in Shanghai provided by Didi Chuxing. The mean ride distance and pick-up distance of cancelled orders are observed to be obviously longer than those of completed orders of the same time period, reflecting an obvious impact of travel cost on customer decisions of order cancellation. However, the correlation between the mean customer confirmed-order cancellation rate (COCR) and the mean customer waiting time for pick-up of cancelled orders is significantly negative. Shanghai, like many other cities around the world, has coupled ride-sourcing and taxi markets, and as such, this counter-intuitive phenomenon can be explained as an outcome of the lower (higher) chance of meeting vacant taxis while waiting for pick-up during peak (non-peak) hours. We formulate COCR as a function of customer waiting time for ride-sourcing vehicles and cruising taxis, the penalty strategy by the platform for cancellation of confirmed orders, and customers’ own characteristics (i.e., ride distance, value of time, perceived psychological cost of order cancellation, additional safety concern over ride-sourcing), and propose a system of nonlinear equations to depict the complex interactions between the ride-sourcing and taxi markets considering the probability of ride-sourcing cancellation after order confirmation. With the proposed model, we replicate the observed lower COCR under a higher demand rate and longer waiting time for pick-up through numerical examples, and highlight the potential improvement of platform profit that can be achieved by appropriately designed penalty/compensation strategies.
AB - In today's world, massive on-demand mobility requests are dispatched every hour on ride-sourcing platforms, however, customers later cancel quite a number of these confirmed orders. This paper makes the first attempt to look into this customer confirmed-order cancellation behaviour based on a two-month, hourly average dataset of Didi Express in Shanghai provided by Didi Chuxing. The mean ride distance and pick-up distance of cancelled orders are observed to be obviously longer than those of completed orders of the same time period, reflecting an obvious impact of travel cost on customer decisions of order cancellation. However, the correlation between the mean customer confirmed-order cancellation rate (COCR) and the mean customer waiting time for pick-up of cancelled orders is significantly negative. Shanghai, like many other cities around the world, has coupled ride-sourcing and taxi markets, and as such, this counter-intuitive phenomenon can be explained as an outcome of the lower (higher) chance of meeting vacant taxis while waiting for pick-up during peak (non-peak) hours. We formulate COCR as a function of customer waiting time for ride-sourcing vehicles and cruising taxis, the penalty strategy by the platform for cancellation of confirmed orders, and customers’ own characteristics (i.e., ride distance, value of time, perceived psychological cost of order cancellation, additional safety concern over ride-sourcing), and propose a system of nonlinear equations to depict the complex interactions between the ride-sourcing and taxi markets considering the probability of ride-sourcing cancellation after order confirmation. With the proposed model, we replicate the observed lower COCR under a higher demand rate and longer waiting time for pick-up through numerical examples, and highlight the potential improvement of platform profit that can be achieved by appropriately designed penalty/compensation strategies.
KW - Equilibrium
KW - Order cancellation
KW - Ride-sourcing
KW - Taxi
UR - https://www.scopus.com/pages/publications/85067008797
U2 - 10.1016/j.trb.2019.05.016
DO - 10.1016/j.trb.2019.05.016
M3 - Journal article
AN - SCOPUS:85067008797
SN - 0191-2615
VL - 132
SP - 358
EP - 378
JO - Transportation Research Part B: Methodological
JF - Transportation Research Part B: Methodological
ER -