| 中小城市公共自行车出行模式与驱动机制研究 |
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| 引用本文： | 王陆一,吴健生,李卫锋.中小城市公共自行车出行模式与驱动机制研究[J].地球信息科学,2019,21(1):25-35. |
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| 作者姓名： | 王陆一 吴健生 李卫锋 |
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| 作者单位： | 1. 北京大学城市规划与设计学院,城市人居环境科学与技术重点实验室,深圳5180552. 北京大学城市与环境学院,地表过程与模拟教育部重点实验室,北京1008713. 香港大学建筑学院城市规划及设计系,香港 9990774. 香港大学深圳研究院,深圳 5180575. 滴滴出行地图事业部,北京 100094 |
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| 基金项目： | 国家自然科学基金面上项目（41471370）. |
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| 摘 要： | 公共自行车在促进交通可持续发展、方便居民出行等方面意义重大。本文以广东省惠州市惠城区和惠阳区、韶关市区公共自行车为研究对象,利用时间序列数据分析、层次聚类、地理可视化等方法探究出行模式,利用随机森林算法分析出行行为的影响因素及其重要性程度。研究发现,惠州市惠城区和韶关市的公共自行车出行行为有规律、成规模,站点呈现生活居住、工作就业等类型;惠州市惠城区自行车使用目的多元,包括通勤、短途办事、公交接驳等,韶关市中,通勤是主要出行目的。惠州市惠阳区受到骑行道路限制,公共自行车使用率低。本研究可以为提高公共自行车系统运营效率、引导慢行交通政策制定、评估城市用地布局提供参考和建议,也能为其他区域公共自行车的研究提供借鉴作用。
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| 关 键 词： | 公共自行车 中小城市 时空数据挖掘 随机森林 驱动机制 |
| 收稿时间： | 2018-04-23 |
Usage Patterns and Driving Mechanisms of Public Bicycle Systems in Small and Medium-Sized Cities based on Space-Time Data Mining |
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| Luyi WANG,Jiansheng WU,Weifeng LI.Usage Patterns and Driving Mechanisms of Public Bicycle Systems in Small and Medium-Sized Cities based on Space-Time Data Mining[J].Geo-information Science,2019,21(1):25-35. |
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| Authors: | Luyi WANG Jiansheng WU Weifeng LI |
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| Abstract: | Given the importance of environment-friendly cities, the development of public bicycle systems (PBSs) has become more popular in recent years around the world. The purpose of this study was to explore the usage patterns of PBSs in small and medium-sized cities in Guangdong province, China, and to infer the driving mechanisms of system attributes and the built environment. The research applied time series analysis of global activity patterns, hierarchical clustering algorithm using Dynamic Time Warping distances as features and spatial data visualization on station-based data, and then compared different systems by employing a random forest algorithm to evaluate the influencing factors. The study objective was to better understand the relationship between public bicycle usage activity and underlying built environment characteristics. In Huicheng District of Huizhou City and Shaoguan City, the public bicycle usage patterns are regular, and bicycle stations are grouped into several clusters based on usage patterns of "morning destination, night origin" "morning origin, night destination" and "steady throughout the day". The PBS in Huicheng District plays various roles by helping users commute to and from jobs and schools, and to make short distance trips. The PBS also is a complementary tool for bus transit facilities. The PBS in Shaoguan City mostly serves as a mode for commuting. The PBS is inefficiently used in Huiyang District of Huizhou City owing to the poor road conditions. This research provides a study framework that can be reproduced in other areas, and offers a way of optimizing PBSs, thereby assisting urban transportation planning and urban land use allocation. |
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| Keywords: | public bicycle small and medium-sized cities spatio-temporal data mining random forest driving mechanisms |
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