Person Trip Data Browser, Analyzer and Space-Time Visualizer

被引：0
|
作者：
Lwin, Ko Ko [1 ,2 ]
Murayama, Yuji [2 ]
机构：
[1] Natl Inst Informat & Commun Technol, Koganei, Tokyo, Japan
[2] Univ Tsukuba, Fac Life & Environm Sci, Div Spatial Informat Sci, Tsukuba, Ibaraki 305, Japan
来源：
PROCEEDINGS 2015 SECOND IEEE INTERNATIONAL CONFERENCE ON SPATIAL DATA MINING AND GEOGRAPHICAL KNOWLEDGE SERVICES (ICSDM 2015) | 2015年
关键词：
Person trip survey; Data browser; Space-Time visualizer; Web-GIS; MOBILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Understanding human mobility from a spatial perspective is important to urban transport planners, human geographers, social scientists and other geospatial information users in order to improve public transport planning, sustainable urban planning and socio-economic planning by acquiring information about transportation mode by age, gender, occupation, purposes, etc. This PTS Person Trip Survey data was converted as one minute synthesized dataset by applying OD Origin and Destination route identification process and stored in csv files. However, handling of these large amounts PTS data requires high-speed computational power, complex database management systems and considerable period of time to extract, manipulate and analyse the data for end users. In this paper we discuss about handling of large scale PTS data with Web-GIS in order to use in scientific and research communities in time and cost effective way.
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页码：12 / 17
页数：6
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