摘要
无桩式共享单车系统作为城市慢行交通的重要组成部分,为居民高效、绿色地解决了“最后一公里”出行问题。本研究基于上海市共享单车历史订单数据,以长宁区为范围,利用Python和ArcGIS工具对共享单车数据进行时空间特征分析。研究发现,共享单车在时间层面呈现明显的早晚高峰特征,工作日早高峰为7:00—9:00,非工作日是10:00—12:00,晚高峰均为17:00—19:00;工作日单车平均使用频次与非工作日相接近;空间层面上发现75%以上的用户骑行距离都在1.3 km范围内。对起讫点进行核密度分析发现,用地布局对于共享单车的使用具有较大影响。地铁枢纽、商业用地等区域周围共享单车的借还量核密度分布一致;东部区域的共享单车使用量密度明显大于西部区域。
As an important part of urban slow traffic,dockless bicycle sharing system solves the"last-mile"travel problem for residents efficiently and greenly.This study takes Changning District of Shanghai as the scope,and uses Python and ArcGIS tools to analyze the temporal-spatial features of shared bicycle data based on the historical order data of shared bicycle in Shanghai.It was found that shared bicycles show obvious morning and evening peak characteristics at the time level,with the morning peak being 7:00–9:00 on weekdays,10:00–12:00 on non-workdays,and the evening peak both being 17:00–19:00;the average frequency of bicycle use on weekdays is close to that on non-workdays;and it was found at the spatial level that more than 75%of the users'cycling distances are within the range of 1.3 km.Kernel density analysis of the starting and ending points found that the land use layout has a greater impact on the use of shared bicycles.The kernel density distribution of shared bicycle borrowing and returning around areas such as subway hubs and commercial sites is consistent;the density of shared bicycle usage in the eastern region is significantly greater than that in the western region.
作者
刘灿齐
曾俊盛
LIU Canqi;ZENG Junsheng(Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China)
出处
《交通与运输》
2024年第S01期194-198,共5页
Traffic & Transportation
关键词
慢行交通
共享单车
时空特征
长宁区
Slow traffic
Bicycle sharing
Temporal-spatial features
Changing district
作者简介
第一作者:刘灿齐(1964-),男,湖南浏阳人,博士,副教授,主要研究方向:交通规划与管理。
