互联网租赁自行车是解决城市公共交通“最初和最后一公里”问题的方式,同时也吸引了一部分城市公共交通客流,与公共交通存在竞争和合作关系,对城市公共交通的发展产生了影响。然而,关于公共交通和互联网租赁自行车的影响模式还需要科学...互联网租赁自行车是解决城市公共交通“最初和最后一公里”问题的方式,同时也吸引了一部分城市公共交通客流,与公共交通存在竞争和合作关系,对城市公共交通的发展产生了影响。然而,关于公共交通和互联网租赁自行车的影响模式还需要科学地讨论,尤其是量化其影响程度。本研究首先分析了互联网租赁自行车和城市公共交通的服务特点,并从时间和空间两个方面分析了互联网租赁自行车和城市公交之间的竞争、合作和补充关系。然后,本研究基于昆明市的共享单车骑行大数据,对这些关系进行了定量比较分析,得出了竞争与合作的关系。结论是,在昆明市,互联网租赁自行车和城市公共交通的合作关系比例大于竞争关系,且可以弥补城市公共交通运营时间和覆盖空间的不足。Internet rental bike is a way to solve the problem of “the first and last mile” of urban public transport, it also attracts a part of urban public transport passenger flow. There is competition and cooperation between public transport and internet rental bike, which has an impact on the development of urban public transport. However, there is no scientific discussion on the impact model of public transport and internet rental bikes, and it is necessary to quantify the impact. Therefore, this study analyzes the service characteristics of internet rental bikes and urban public transport, and then analyzes the competitive, cooperative and complementary relationships between internet rental bike and urban public transport from two aspects of time and space. This study is based on the big data of internet rental bike riding orders in Kunming city, and quantitatively compares and analyzes this relationship, obtaining the relationship between competition and cooperation. The conclusion is that in Kunming, the cooperative relationship between internet bike rental and urban public transport is larger than the competitive relationship, and can make up for the lack of urban public transport operation time and coverage space.展开更多
文摘互联网租赁自行车是解决城市公共交通“最初和最后一公里”问题的方式,同时也吸引了一部分城市公共交通客流,与公共交通存在竞争和合作关系,对城市公共交通的发展产生了影响。然而,关于公共交通和互联网租赁自行车的影响模式还需要科学地讨论,尤其是量化其影响程度。本研究首先分析了互联网租赁自行车和城市公共交通的服务特点,并从时间和空间两个方面分析了互联网租赁自行车和城市公交之间的竞争、合作和补充关系。然后,本研究基于昆明市的共享单车骑行大数据,对这些关系进行了定量比较分析,得出了竞争与合作的关系。结论是,在昆明市,互联网租赁自行车和城市公共交通的合作关系比例大于竞争关系,且可以弥补城市公共交通运营时间和覆盖空间的不足。Internet rental bike is a way to solve the problem of “the first and last mile” of urban public transport, it also attracts a part of urban public transport passenger flow. There is competition and cooperation between public transport and internet rental bike, which has an impact on the development of urban public transport. However, there is no scientific discussion on the impact model of public transport and internet rental bikes, and it is necessary to quantify the impact. Therefore, this study analyzes the service characteristics of internet rental bikes and urban public transport, and then analyzes the competitive, cooperative and complementary relationships between internet rental bike and urban public transport from two aspects of time and space. This study is based on the big data of internet rental bike riding orders in Kunming city, and quantitatively compares and analyzes this relationship, obtaining the relationship between competition and cooperation. The conclusion is that in Kunming, the cooperative relationship between internet bike rental and urban public transport is larger than the competitive relationship, and can make up for the lack of urban public transport operation time and coverage space.
