| Abstract |
The rise of car-sharing can make full use of road space resources, alleviate traffic congestion and reduce traffic energy consumption. However, due to the failure to accurately predict the demand distribution of car-sharing, there are a lot of empty driving phenomena in vehicle scheduling, which leads to the economic losses of car-sharing operators. Existing studies show that the point of interest has a significant impact on urban residents' travel, but few of them study the quantitative relationship between interest points and shared car orders. Based on this, using the order data of car-sharing in Beijing, this paper establishes a negative binomial model of travel demand and density of different kind of points of interest, and analyzes their relationship. The analysis found that users tend to use car-sharing to go to leisure places. In areas where public transportation is underdeveloped, people will use car-sharing more. The methodology of this paper can provide a theoretical basis for sharing automobile enterprises to develop new operation areas and select reasonable car sharing stations. © Published under licence by IOP Publishing Ltd. |
