【作者】 刘清； 王录仓；

【机构】 西北师范大学； 西北师范大学地理环境科学学院；

【摘要】 论文对西安市主城区2017年11月2日与4日摩拜单车使用数据进行了空间可视化分析与时间统计,对比总结了工作日与休息日单车使用的时空间特征、闲置单车的空间分布与移动单车的具体使用情况。研究发现,工作日单车使用有明显的早晚高峰与午间小高峰,休息日没有明显的早午高峰,但有晚高峰与午夜小高峰,并且平均单车骑行时耗大于工作日;空间分布上城三区单车总体使用强度低于郊三区。研究建议未来的共享单车设施规划应利用大数据构建单车市场供需统计系统,并分区域、分时段、分频次有针对性地进行投放布局与智能调度。更多还原

【Abstract】 The article analyzes the time statistics and spatial visualization of Maba bicycle usage data on the host city of Xi’an on November 2 and 4,2017,comparing and summarizing the time-space characteristics of bicycles used on work days and holidays and Specific usage of idle and mobile bicycles.The study found that bicycles on working days have obvious morning and evening peaks and small midday peaks.There are no early morning rush hours on rest days,but there are obvious night peaks and midnight peaks,and the average bicycle ride time is larger than the working days;The utilization rate of bicycles is generally lower than that of the peripheral urban area.Therefore,the future planning of shared bicycle facilities should use big data to construct the supply and demand statistics system of bicycle market,and carry out the placement and intelligent scheduling according to region,time,frequency and times.更多还原