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Possible Emission Reductions From Ride-Sourcing Travel in a Global Megacity: The Case of Beijing

机译:全球特大城市的乘车旅行可能减少排放:以北京为例

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摘要

Urban transportation in China is undergoing a revolution due to ride-sourcing. The strong growth in ride-sourcing travel requires the government and the industry to adopt strategies for reducing environmental impact. Here, we address a key gap in knowledge on the emerging ride-sourcing travel model by designing a roadmap for realizing low-emission ride-sourcing drawing from an analysis of raw big trip data for Beijing. We found that adopting the most effective low-emission strategies requires joint efforts involving governance and management, enterprise operations, and consumer behavior change. With respect to issues of feasibility and effectiveness, the enterprise operation strategy, involving polices that shorten the pick-up time and increase the vehicle occupancy, is the best option, offering approximately 44% CO_(2)and NOx emission reductions compared with the current situation. Promoting ride-sourcing usage among car users or potential car users could help reduce emissions attributing to less cars being manufactured (26% CO_(2)and 24% NOx) but with uncertainty. To achieve low-emission ride-sourcing travel, governments, enterprises, and consumers must collaborate closely and define clear roles, responsibilities, and relationships.
机译:由于乘车来源,中国的城市交通正在发生一场革命。乘车出行旅行的强劲增长要求政府和行业采取减少环境影响的策略。在这里,我们通过对北京原始大行程数据的分析,设计了实现低排放乘车来源图的路线图,从而解决了对新兴乘车来源旅行模型知识的一个关键缺口。我们发现采用最有效的低排放策略需要共同努力,包括治理与管理,企业运营以及消费者行为改变。关于可行性和有效性问题,企业策略是最好的选择,该策略涉及缩短接载时间并增加车辆占用率的策略,与目前相比,可减少约44%的CO_(2)和NOx排放量。情况。促进小汽车用户或潜在小汽车用户的拼车采购使用,可以减少因制造的汽车数量减少(26%CO_(2)和24%NOx)而造成的排放,但不确定性。为了实现低排放的乘车出行,政府,企业和消费者必须紧密协作,并明确角色,职责和关系。

著录项

  • 来源
    《Journal of Environment & Development》 |2018年第2期|156-185|共30页
  • 作者单位

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China,Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing, China,BIT Didi Joint Laboratory of Sharing Economy and Behavior-Energy, Beijing, China,School of Management and Economics, Beijing Institute of Technology, Beijing, China,Beijing Key Lab of Energy Economics and Environmental Management, Beijing, China,Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sharing mobility; ride-sourcing travel; big trip data; low-emission strategy; emission reduction;

    机译:共享出行;出行旅行;大行程数据;低排放策略;减排;

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