A GPS/GIS method for travel mode detection in New York City

被引：222

作者：

Gong, Hongmian ^{[1
]}

Chen, Cynthia ^{[2
]}

Bialostozky, Evan ^{[1
]}

Lawson, Catherine T. ^{[3
]}

机构：

[1] CUNY Hunter Coll, Dept Geog, New York, NY 10065 USA

[2] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA

[3] SUNY Albany, Albany, NY 12222 USA

来源：

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS | 2012年 / 36卷 / 02期

关键词：

Handheld GPS; GIS; Mode detection; New York City; GPS;

D O I：

10.1016/j.compenvurbsys.2011.05.003

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Handheld GPS provides a new technology to trace people's daily travels and has been increasingly used for household travel surveys in major cities worldwide. However, methodologies have not been developed to successfully manage the enormous amount of data generated by GPS, especially in a complex urban environment such as New York City where urban canyon effects are significant and transportation networks are complicated. We develop a GIS algorithm that automatically processes the data from GPS-based travel surveys and detects five travel modes (walk, car, bus, subway, and commuter rail) from a multimodal transportation network in New York City. The mode detection results from the GIS algorithm are checked against the travel diaries from two small handheld GPS surveys. The combined success rate is a promising 82.6% (78.9% for one survey and 86.0% for another). Challenges we encountered in the mode detection process, ways we developed to meet these challenges, as well as possible future improvement to the GPS/GIS method are discussed in the paper, in order to provide a much-needed methodology to process GPS-based travel data for other cities. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：131 / 139

页数：9

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