Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach
Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach
复制标题
使用浮动汽车数据的动态可达性映射：网络约束的密度估计方法
DOI：
10.1016/j.jtrangeo.2010.07.003
复制
发表时间：
2011-05-01
影响因子：
6.1
通讯作者：
Zeng, Zhe
中科院分区：
文献类型：
--
作者：
Li, Qingquan;Zhang, Tong;Zeng, Zhe
可达性的概念越来越受到交通规划者和研究人员的关注。“智能增长”的目标是促进可获得性，而不是移动性。可访问性地图是支持智能增长规划的高效工具。在过去的十年中，随着地理信息系统(GIS)被广泛应用于制作无障碍地图，对无障碍地图和分析的研究激增。然而，这些努力的一个主要负面方面是缺乏动态的准入衡量标准。交通状况在空间和时间上发生显著变化，导致非平稳行程时间估计，这是可达性测量的核心。本文提出了一种基于浮动车数据(FCD)的实时行程速度的动态可达性度量方法。我们提出了一种新的综合访问度量来计算受道路网络约束的兴趣点(POI)的可达性。POI可达性度量由网络核密度估计(NKDE)和网络线性密度估计(NLDE)两种方法得到。因此，我们能够通过在工作日和周末的高峰和非高峰时间使用FCD来考虑速度变异性来捕获时间动态。我们以武汉市中国为例，证明了该方法能够很好地捕捉可达性的时空动态变化。通过实证研究考察了密度估计参数(搜索带宽)和POI权重对综合可达性的影响。我们发现搜索带宽和POI权重会对最终的可访问性值产生深远的影响。实验还表明，NKDE和NLDE会产生明显不同的估计结果。(C)2010爱思唯尔有限公司。保留所有权利。
The concept of accessibility has been attracting increasing attention from transportation planners and researchers. The goal of "smart growth" is to promote accessibility rather than mobility. Accessibility mapping is a highly effective tool to support smart growth planning. Studies on accessibility mapping and analysis have proliferated over the last decade as Geographic Information Systems (GIS) has been widely adopted to produce accessibility maps. Nevertheless, a major negative aspect of these efforts is the lack of dynamic access measurement. Traffic conditions change significantly over space and time, leading to non-stationary travel time estimation which is central to accessibility measurement. In this paper, we propose a dynamic accessibility measure based on real-time travel speeds that are derived from floating car data (FCD). We introduce a novel integrated access measure to compute accessibility to Points of Interest (POIs) constrained by road networks. POI accessibility measures are obtained by means of both Network Kernel Density Estimation (NKDE) and Network Linear Density Estimation (NLDE). Therefore, we are able to capture temporal dynamics by taking into account speed variability using FCD during peak and off-peak hours on weekdays and weekends. We demonstrate that the proposed approach can capture the spatio-temporal dynamics of accessibility using FCD for Wuhan city in China. Empirical studies were conducted to examine the impacts of density estimation parameters (search bandwidths) and POI weights on the integrated accessibility. We find that search bandwidth and POI weights would impose profound influence on final accessibility values. Experiments also show that NKDE and NLDE would produce significantly different estimation results. (C) 2010 Elsevier Ltd. All rights reserved.