Abstract
In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.
Highlights
In recent years, with the rapid development of Internet technology and mobile payment, innovative transportation service models have appeared in China, such as app-based third taxi service (ATTS), free-floating bike sharing (FFBS), car sharing services, scooter sharing, and so on
The results show that: customers of FFBS are primarily from the users whose original modes are walking (39%), private bicycle (15%), and conventional bus (14%), the riding distance mainly focusing on 1~5 km (80%)
Customers of ATTS mainly come from the users whose original modes are cruising taxi (26%) and conventional bus (25%), and it is more suitable for travel distance above 5 km (88%)
Summary
With the rapid development of Internet technology and mobile payment, innovative transportation service models have appeared in China, such as app-based third taxi service (ATTS), free-floating bike sharing (FFBS), car sharing services, scooter sharing, and so on. As of 2017, the scales of ATTS, FFBS, and car sharing users are approximately 336 million, 400 million, and 8 million, respectively, in China [1,2,3]. This means that ATTS and FFBS have become significant components of urban transportation systems [4,5]. Once one of the drivers accepts the request, the customer will receive the information of this ATTS. This driver will be guided to the location of the customer via the Global Navigation Satellite
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