Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis
Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis
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手机GPS数据在城市共享单车中的布局优化与减排分析
DOI：
10.1016/j.apenergy.2019.03.119
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发表时间：
2019-05
期刊：
影响因子：
11.2
通讯作者：
Liang Yongtu
中科院分区：
文献类型：
--
作者：
Zhang Haoran;Song Xuan;Long Yin;Xia Tianqi;Fang Kai;Zheng Jianqin;Huang Dou;Shibasaki Ryosuke;Liang Yongtu
作为智慧城市和可持续城市发展的代表，共享单车系统是交通、公共卫生、城市规划等领域的热门话题之一。本文提出了一个模型，用于分析采用共享单车系统的潜在减排量。提出了从移动的手机GPS轨迹中提取人类出行模式的方法，以及基于几何的概率模型，以支持粒子群优化。通过比较研究分析了该模型的计算效率。基于自行车对接站网络的最优布局，并考虑需求的不确定性，提出了一个多场景整数线性规划模型来优化再平衡过程（即，根据需求在对接站之间移动自行车），以确定所需的详细设计比例信息。移动的手机GPS轨迹从大约370万本地移动性被用来构建一个案例研究世田谷区，东京。结果表明，与以往的方法相比，所提出的方法求解的最优布局可以分别减少6.4%和4.4%的排放。随着自行车站点从30个增加到90个，采用自行车共享可以减少约3.1-3.8千吨的二氧化碳排放量。但是，通过自行车生产和再平衡产生的排放抵消后，减排量最大可减少21.26%。
As a representation of smart and sustainable city development, bicycle-sharing system is one of the hottest topics in the domains of transportation, public health, urban planning, and so on. In this paper, a model is proposed for analyzing the potential reduction in emissions associated with the adoption of a bicycle-sharing system. Methods are proposed for extracting human travel modes from mobile phone GPS trajectories, together with a geometry-based probability model, to support particle swarm optimization. A comparison study is implemented to analyze the model’s computational efficiency. Based on the resulting optimal layout for the network of bicycle docking stations, and considering demand uncertainty, a multi-scenario integer linear programming model is proposed to optimize rebalancing procedures (i.e., moving bicycles between docking stations according to demand), to determine the detailed design-scale information required. Mobile phone GPS trajectories from approximately 3.7 million local mobilities are used to construct a case study for Setagaya Ward, Tokyo. The results show that, compared with the previous methods, the optimal layout solved by the proposed method could reduce emissions by a further 6.4% and 4.4%. With an increase from 30 to 90 bicycle stations, the adoption of bicycle-sharing can reduce CO2emissions by approximately 3.1–3.8 thousand tonnes. However, emission reduction will maximally decrease by 21.26% after offset by bicycles production and rebalancing-generated emission.
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DOI：
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影响因子：
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DOI：
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