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An approach to determine optimal pickup and drop-off points for urban ridesharing

Mao, Junhui (2020) An approach to determine optimal pickup and drop-off points for urban ridesharing.

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Abstract:Recently ridesharing has been widely adopted as a way of daily travel and commuting, which is regarded as a good example of the shared economy. Taking the advantage of reducing transport emissions and relieving urban traffic congestions, the ridesharing still confronts some challenges, one of which is that the driver needs to make extra detours while the location of passenger is with lower spatial accessibility. And when it comes to multiple passengers in a single ride, the cost of the extra detours which is supposed to bring about time wasting and negative impact, would become less acceptable. To solve this problem, the flexibility characteristic of ridesharing can be the breakthrough point. Therefore, this work aims to find out an approach to determine the optimal pickup and drop-off points (PDPs) which can effectively improve the driving rout in the urban ridesharing. It is assumed that the approach possesses both flexibility and practicality, implying that the PDPs vary with the changing circumstances of practical world. After investigating the indicators that affect the driving rout of the shared ride, the determination of possible and optimal alternative pickup and drop-off points was conducted adopting Amap-API as the implementing tool. The result demonstrated that the time cost, distance, number of traffic lights and turns, as well as the clearness of a shared ride had reduced by adopting the proposed approach to choose a alternative pickup or drop-off point while taking a rideshare.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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