How does extreme temperature affect shared travel? Evidence from bike-sharing order flow in China

IF 5.7 2区 工程技术 Q1 ECONOMICS
Mengtian Xue , Bin Zhang , Siyuan Chen , Yuandong Zhao , Zhaohua Wang
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Abstract

Due to its flexibility, pro-environmental characteristics, and its contribution to solving the first or last kilometer’ problem, sharing bike has become a popular travel option for many residents, especially for short trips. This study analyses the impact of extreme temperatures on residents' shared travel and the bike-sharing industry by combining the full-sample travel data, meteorological data, and POI data in Hohhot, China. Based on the temporal and spatial characteristics of residents' travel, five patterns are distinguished by K-means clustering: basic trips, short-distance trips, round trips, time tolerance trips and distance tolerance trips. The main conclusions of the research are as follows: i) extremely low temperatures can increase the possibility of short-distance trips and round trips but reduce long-duration or long-distance travel. Extremely high temperature has a positive effect on residents' round trips and time tolerance trips but suppress short-distance trips and distance tolerance trips; ii) for long-duration or long-distance shared travel, extremely low temperature enhance the connection between sharing bikes and other modes of transportation, but the extremely high temperature has the opposite impact; iii) extreme temperature causes less substitution of sharing bikes for other vehicles in round trips. However, residents in basic trip mode prefer to use sharing bikes instead of vehicles at extremely high temperatures; iv) the total annual economic loss of shared travel caused by extreme temperatures reached 31,393.82 CNY. In addition, many residents abandon sharing bikes in favor of cars at extreme temperatures, leading to additional carbon emissions of 2585.29 kg/year. The study also provides profound policy implications for the bike-sharing industry and green travel.

极端气温如何影响共享出行?来自中国共享单车订单流的证据
共享单车以其灵活、环保、解决 "最后一公里 "问题等特点,已成为许多居民的出行选择,尤其是短途出行。本研究结合中国呼和浩特市的全样本出行数据、气象数据和 POI 数据,分析了极端气温对居民共享出行和共享单车行业的影响。根据居民出行的时空特征,通过 K-means 聚类划分出基本出行、短途出行、往返出行、时间容忍度出行和距离容忍度出行五种模式。研究的主要结论如下:①极端低温会增加短途旅行和往返旅行的可能性,但会减少长时间或长途旅行。极高气温对居民的往返出行和时间容忍度出行有积极影响,但抑制了短途出行和距离容忍度出行;ii) 对于长时或长距离共享出行,极低气温增强了共享单车与其他交通方式之间的联系,但极高气温的影响恰恰相反;iii) 极端气温导致往返出行中共享单车对其他交通工具的替代性降低。然而,在极端高温下,基本出行模式下的居民更愿意使用共享单车而不是车辆;iv) 极端高温造成的共享出行年经济损失总额达 31393.82 元人民币。此外,许多居民在极端气温下放弃共享单车而改用汽车,导致每年额外碳排放 2585.29 千克。这项研究还为共享单车行业和绿色出行提供了深刻的政策启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.50
自引率
11.50%
发文量
197
期刊介绍: A major resurgence has occurred in transport geography in the wake of political and policy changes, huge transport infrastructure projects and responses to urban traffic congestion. The Journal of Transport Geography provides a central focus for developments in this rapidly expanding sub-discipline.
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