Taxi near me

Posted by abdulsunny on March 27th, 2021

Different travel modes, including private cars, public transit, taxies, and subways, play a vital role in modern cities. Research on travel mode choice behavior is a popular subject among traffic and urban planners. In recent decades, emerging technology has led to different service modes appearing within one travel mode.

Recently, as the mobile-internet communication technologies have rapidly developed and popularized, different internet platforms such as Uber, Didi, and Yidao, which can provide online car-hailing service, appear gradually in China. These platforms provide a preferable booking service and a quick payment system for the passengers by applying an online car-hailing application, which solves the information asymmetry between taxi drivers and passengers effectively. This trip mode is deeply loved by travelers because it does not require passengers to stand on the street to hail a taxi and thus avoids a long waiting time. The rapid growth brings a great impact on the traditional taxi model. The China Internet Network Information Center reported that the total number of online car-hailing in China exceeded 49 million by the 2nd quarter of 2014. Taking Guangzhou, a modern city in China, as an example, 986 million passenger trips occurred through the taxi system in 2015. Among them, online car-hailing completed 314 million passenger trips (average 0.086 million passenger trips per day), which accounts for about 31.7% of the total taxi passenger trips. Based on this, the State Council General Office in China published an important document on 28 July 2016. This document clearly indicated that the taxi market consisted of the traditional taxi mode and the online car-hailing mode. The online car-hailing mode can meet the individualized and diversified trip demands, especially high demands for the business population. However, it is pointed that this mode still needs to enhance its service quality and security under supervision and guidance.

Currently, in China’s taxi market, the taxi system can provide both the traditional taxi service and the online booking service. The traditional taxi service consisted of the cruising mode and the dispatching mode. The online booking service is only considered as 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 the taxi company. In this mode, by applying a telephone or the internet booking system, a taxi driver is dispatched to the appointed location to pick up passengers. The internet booking system helps to achieve the optimum distribution of passenger resources, but it does not complete the connection between individual drivers and passengers. Correspondingly, the online car-hailing mode is managed by the platform. In this mode, any individual taxi driver can log in to the application used by the platform and receives requests for taxi service, and finally provides booking service. Today, taxi company has uniformly managed these taxi service modes because of the legalized status of the online car-hailing mode in China. However, the main difference between the dispatching and the online car-hailing modes is that there are expensive contract fees paid by taxi drivers to taxi companies for the dispatching mode, while these fees are greatly decreased in the latter. Thus, based on these current characteristics of China’s taxi system, discussing the choice behaviors which are associated with dispatching and the online car-hailing taxi near me service modes is very important.

Many factors influence travel or service mode choices. Geographic characteristics, including density, street design, and land use, impact the choice of travel mode by travelers. A public transit network provides preferable services for passengers, leading to stable demand. An underdeveloped public transit system is more likely to increase the demand for private cars. Clustered developments with high employment and population densities, as well as balanced jobs and housing opportunities, reduce the probability of automobile use and increase the probability of nonmotorized travel. Higher levels of transportation connectivity, accessibility, and mixed land use contribute to reducing the extent of motorized travel. A study in Hangzhou, a metropolitan area of China, found that the proportions of bicycle and pedestrian modes are higher in the city center than in suburbs. In addition, many studies have found that the socioeconomic indicators of households and individuals, including income, job status, and car ownership, strongly impact travel mode choice.