THE TAXI TRIP DATA
In this paper, we study the historical trip and fare logs of Beijingtaxis to investigate the change of taxi drivers’ behaviors under moneypromotion.Beijing is the capital of the People’s Republic of China and isone of the most populous cities around the world. Its populationhad grown over 21 000 000 in 2013. However, there are only nearly67 000 licensed taxis in Beijing, which cannot meet the ever increasingdemand of taxis service, especially in rush hours.The dataset used in this paper includes about 8.3 million taxi tripsthat made by over 9000 taxis during 40 days. Each trip record includesthe pickup and drop-off location and time, as well as anonymized taxilicense numbers. The personally identifiable information of passengershas been properly anonymized, so that we can only differ the driversbut not the passengers. Moreover, the names of the drivers are notreleased, either.The longitude and latitude location information in each taxi trip isobtained by converting the received GPS data into a planar coordinatesystem, since the latitudinal trend is not pronounced in the central partof Beijing city. The location errors caused by inaccurate GPS signalsare much smaller than the moving distances of taxi trips and are thusomitted in this paper.As pointed out in many studies, human traveling activities can beinfluenced by many factors. For example, human traveling patterns arenotably different in working-days and weekends/ holidays. Moreover,the weather also greatly affects the calling amount of taxi services. Toreduce the influences of such factors, we choose the sampling daysas Oct. 16–18, 21, 22, 24, 25, 28–31, Nov. 18–22, 25–27, 2013 andFeb. 17, 18, 20, 21, 24–28, Mar. 17–21, 24–28, 2014, respectively. Wecall the sampling days in 2013 the first time period, in which no moneypromotion was applied. The sampling days in 2014 is called the secondtime period, in which money promotion was applied. All these days areworking days and the weathers in these days are mild so that the traveldemands in these days are similar. Call Taxi in Kumbakonam
A battle between two Internet giants Tencent and Alipay had greatlystirred the taxis services during in early 2014. Although these twocompanies originally intended to extend their territories in mobilepayments by giving promotion fees to taxi drivers for each deal made,the money promotion had profoundly changed the pattern of taxisservices. Many people welcomed such promotion since they thoughttaxis drivers will become more diligent and available on-call. On thecontrary, many people found that they cannot find a taxi to take if theydo not use such apps.The authorities of some Chinese cities had to ban the use of taxibooking apps during rush hour periods, since they received increas-ing complaints from residents. However, no concrete data had beenreleased to explain the influence of money promotion, which makesthe ban somewhat unconvincing.In this paper, we study this problem based on the collected 40-daytrip data of over 9000 taxis in Beijing. Statistics show that the numberof taxis trips made by every vehicle per day increases under themoney promotion and the idle times become shorter, too. However,drivers preferred to pick up the passengers who travel shorter and thepassengers who went to the hot locations. In summary, the moneypromotion brings benefits to some but not all residents in the city.
During the review process of this paper, Didi and Kuaidadi hadannounced their official strategic combination on Feb. 14, 2015 (SaintValentine’s Day). We will study the influence of such a “marriage” inthe near future.This study also indicates that productively and critically employingbig data can help address long-standing questions of social justice,equity, and many other concerns [4], [17]. For example, Uber [18]is an international company which operates the mobile-app-basedtransportation world widely. It is preparing to penetrate into Chinesemarket recently. The above analysis results will be useful for such newdeveloping companies which aim to better share the markets and alsolocal governments which needs to guide the responses of residents tonew challenges. We believe the coming era of big data could provideus more chance to solve such formidable problems https://srisivasakthitravels.com/
https://goo.gl/maps/1rNVoifRFQ9snSor6
In this paper, we study the historical trip and fare logs of Beijingtaxis to investigate the change of taxi drivers’ behaviors under moneypromotion.Beijing is the capital of the People’s Republic of China and isone of the most populous cities around the world. Its populationhad grown over 21 000 000 in 2013. However, there are only nearly67 000 licensed taxis in Beijing, which cannot meet the ever increasingdemand of taxis service, especially in rush hours.The dataset used in this paper includes about 8.3 million taxi tripsthat made by over 9000 taxis during 40 days. Each trip record includesthe pickup and drop-off location and time, as well as anonymized taxilicense numbers. The personally identifiable information of passengershas been properly anonymized, so that we can only differ the driversbut not the passengers. Moreover, the names of the drivers are notreleased, either.The longitude and latitude location information in each taxi trip isobtained by converting the received GPS data into a planar coordinatesystem, since the latitudinal trend is not pronounced in the central partof Beijing city. The location errors caused by inaccurate GPS signalsare much smaller than the moving distances of taxi trips and are thusomitted in this paper.As pointed out in many studies, human traveling activities can beinfluenced by many factors. For example, human traveling patterns arenotably different in working-days and weekends/ holidays. Moreover,the weather also greatly affects the calling amount of taxi services. Toreduce the influences of such factors, we choose the sampling daysas Oct. 16–18, 21, 22, 24, 25, 28–31, Nov. 18–22, 25–27, 2013 andFeb. 17, 18, 20, 21, 24–28, Mar. 17–21, 24–28, 2014, respectively. Wecall the sampling days in 2013 the first time period, in which no moneypromotion was applied. The sampling days in 2014 is called the secondtime period, in which money promotion was applied. All these days areworking days and the weathers in these days are mild so that the traveldemands in these days are similar. Call Taxi in Kumbakonam
During the review process of this paper, Didi and Kuaidadi hadannounced their official strategic combination on Feb. 14, 2015 (SaintValentine’s Day). We will study the influence of such a “marriage” inthe near future.This study also indicates that productively and critically employingbig data can help address long-standing questions of social justice,equity, and many other concerns [4], [17]. For example, Uber [18]is an international company which operates the mobile-app-basedtransportation world widely. It is preparing to penetrate into Chinesemarket recently. The above analysis results will be useful for such newdeveloping companies which aim to better share the markets and alsolocal governments which needs to guide the responses of residents tonew challenges. We believe the coming era of big data could provideus more chance to solve such formidable problems https://srisivasakthitravels.com/
https://goo.gl/maps/1rNVoifRFQ9snSor6
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