Factors Influencing Matching of Ride-Hailing Service Using Machine Learning Method

Myungsik Do, Wanhee Byun, Doh Kyoum Shin and Hyeryun Jin
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Myungsik Do: Department of Urban Engineering, Hanbat National University, Daejeon 34158, Korea
Wanhee Byun: Future Strategy Research Center, Land & Housing Institute, Daejeon 34047, Korea
Doh Kyoum Shin: DataWiz Ltd., Mokwon University, Daejeon 35349, Korea
Hyeryun Jin: Center of Infrastructure Asset Management, Hanbat National University, Daejeon 34158, Korea

Sustainability, 2019, vol. 11, issue 20, 1-13

Abstract: It is common to call a taxi by taxi-apps in Korea and it was believed that an app-taxi service would provide customers with more convenience. However, customers’ requests can often be denied, as taxi drivers can decide whether to take calls from customers or not. Therefore, studies on factors that determine whether taxi drivers refuse or accept calls from customers are needed. This study investigated why taxi drivers might refuse calls from customers and factors that influence the success of matching within the service. This study used origin-destination data in Seoul and Daejeon obtained from T-map Taxis, which was analyzed via a decision tree using machine learning. Cross-validation was also performed. Results showed that distance, socio-economic features, and land uses affected matching success rate. Furthermore, distance was the most important factor in both Seoul and Daejeon. The matching success rate in Seoul was lowest for trips shorter than the average at midnight. In Daejeon, the rate was lowest when the calls were made for trips either shorter or longer than the average distance. This study showed that the matching success for ride-hailing services can be differentiated particularly by the distance of the requested trip depending on the size of the city.

Keywords: machine learning; ride-hailing service; decision tree; trip distance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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