地理科学进展 ›› 2016, Vol. 35 ›› Issue (12): 1529-1537.doi: 10.18306/dlkxjz.2016.12.009

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基于浮动车数据的旅游景点周边路网容量研究——以厦门岛为例

高悦尔(), 陈舒婷, 郑承于, 边经卫   

  1. 华侨大学建筑学院,福建 厦门 361021
  • 出版日期:2016-12-20 发布日期:2016-12-20
  • 作者简介:

    作者简介:高悦尔(1983-),女,福建晋江人,讲师,博士,从事城市土地利用与城市交通规划研究,E-mail:gaoyueer123@gmail.com

  • 基金资助:
    国家自然科学基金项目(51608209);华侨大学高层次人才科研启动项目(600005-Zl5Y0035)

Road network capacity of tourist site's periphery based on FCD: Taking Xiamen Island as an example

Yueer GAO(), Shuting CHEN, Chengyu ZHENG, Jingwei BIAN   

  1. School of Architecture, Huaqiao University, Xiamen 361021, Fujian, China
  • Online:2016-12-20 Published:2016-12-20
  • Supported by:
    National Natural Science Foundation of China, No.51608209;High Level Talent Research Project of Huaqiao University, No.600005-Zl5Y0035

摘要:

随着旅游业的快速发展,旅游城市在法定节假日出现了交通需求的大幅增长,导致不同程度的交通问题。本文利用厦门市的浮动车数据(FCD),分别选取2014年10月1日与10月14日作为节假日与工作日的样本进行研究,首先通过OD点核密度估计判断节假日与工作日出行在时空上的差异,确定研究的时空范围;其次,通过对FCD数据进行核密度估计分析旅游景点周边的车流量变化,并与路段的等级、车道数等道路设施属性进行对比,推测路网的容量;最后进一步通过计算路网中路段行程车速验证方法的可行性。结果显示:节假日期间的旅游交通与工作日的通勤交通在时空分布上存在差异,同时基于FCD数据研究旅游景点周边的路网容量是有效的,厦大—南普陀景点周边路网在节假日期间无法满足车流量的需求。本文对旅游景点周边路网容量的评估结果可为旅游旺季旅游路网的合理规划与管控提供依据。

关键词: 旅游交通, 路网容量, 核密度估计法, 浮动车数据, 厦门岛

Abstract:

With the rapid development of tourism, there has been a sharp increase in traffic demand in tourist cities during public holidays, which results in various traffic problems. This article examines the traffic characteristics of Xiamen using floating car data (FCD) on 1 October (a public holiday) and 14 October 2014 (a normal working day). The spatial scope of the study was determined by the spatiotemporal differences between the number of trips on the public holiday and the normal working day using the origin and destination's kernel density estimation method. Road network capacity was estimated by analyzing the change of traffic volume near the tourist sites using kernel density estimation based on FCD, and comparing with road facility attributes such as the grade of the road section, and the number of lanes. Finally, the study validates the feasibility of the method by estimating the traffic speed of the road sections in the road network. The results show that there exist spatiotemporal differences between the tourist traffic on the public holiday and commuting traffic on the normal working day, and the method for road network capacity study near the tourist sites is effective based on FCD. The road capacity near Xiamen University and Nanputuo Temple cannot meet the traffic demand during the public holiday. The estimation of road network capacity near tourist sites can provide a basis for reasonable planning and management of the tourism road network during the tourist season.

Key words: tourist traffic, road network capacity, kernel density estimation, floating car data (FCD), Xiamen Island