The emergence of online car-hailing service provides an innovative approach to vehicle booking but has negatively influenced the taxi industry in China. This paper modeled taxi service mode choice supported evolutionary theory of games (EGT).

The modes included the dispatching and online car-hailing modes. We constructed an EGT framework, including determining the strategies and therefore the payoff matrix. We introduced different behaviors, including taxi company management, driver operation, and passenger choice.

This allowed us to model the impact of those behaviors on the evolving process of service mode choice. The results show that adjustments in taxi company, driver, and passenger behaviors impact the evolutionary path and convergence speed of our evolutionary game model.

However, it also reveals that, no matter adjustments, the stable states within the game model remain unchanged. The conclusion provides a basis for studying taxi system operation and management. Visit here;
Different travel modes, including private cars, transportation system , taxies, and subways, play an important role in modern cities.

Research on travel mode choice behavior may be a popular subject among traffic and concrete planners. In recent decades, emerging technology has led to different service modes appearing within one travel mode.
Recently, because the mobile-internet communication technologies have rapidly developed and popularized, different internet platforms like Uber, Didi, and Yidao, which may provide the web car-hailing service, appear gradually in China.

These platforms provide a preferable booking service and a fast payment system for the passengers by applying a web car-hailing application, which solves the knowledge asymmetry between taxi drivers and passengers effectively.

This trip mode is deeply loved by travelers because it doesn’t require passengers to face on the road to hail a taxi and thus avoids an extended waiting time. The rapid growing brings great impact on the normal taxi mode.

The China Internet Network Information Center [1] reported that the entire number of online car-hailing in China exceeded 49 million by the 2nd quarter of 2014. Taking Guangzhou, a contemporary city in China, as an example, 986 million passenger trips occurred through taxi system in 2015.

Among them, the web car-hailing completed 314 million passenger trips (average 0.086 million passenger trips per day), which accounts about 31.7% of the entire taxi passenger trips [2].

supported this, the State Council General Office in China published a crucial document on 28 July 2016. This document clearly indicated that the taxi market consisted of the normal taxi mode and therefore the online car-hailing mode [3]. the web car-hailing mode can meet the individualized and diversified trip demands, especially high demands for business population.

However, it’s pointed that this mode still must enhance its service quality and security under the supervision and guidance.
Currently, in China’s taxi market, taxi system can provide both the normal taxi service and therefore the online booking service. the normal taxi service consisted of the cruising mode and therefore the dispatching mode. the web booking service is merely considered because the online car-hailing mode, which mainly includes express car, special car, and ride sharing.

Among them, the dispatching service mode is uniformly operated by taxi company. during this mode, by applying telephone or the web booking system, taxi driver is dispatched to the appointed location to select up passengers.


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