DocumentCode :
147719
Title :
A study of visualization analysis method in crowd flow spatial survey
Author :
Kuochung Wen ; Shushan Chang
Author_Institution :
Dept. of Archit. & Urban Design, Chinese Culture Univ., Taipei, Taiwan
fYear :
2014
fDate :
25-27 June 2014
Firstpage :
1
Lastpage :
7
Abstract :
Taipei metro transit transport system appears to the population as the main mode of transportation, containing a lot of environmental carrying capacity. It not only reflects pace of life in the city, but is also a status symbol of civilization, representing urban efficiency, safety indicators, the degree of happiness, and humanity cultural exchange. However, the system can be potentially dangerous, with factors such as how crowd density, risk of the spread of infectious diseases, fire, natural disasters, and even terrorist attacks. Therefore, the effective understanding of travelers´ dynamic can significantly reduce the risk of potential danger. In this research, how to record crowd dynamic effectively is one of the important issues for exploring the crowd survey method. The research´s purposes are to visually simulate the Taipei metro transit transport system in real situations, organizational assessment analysis, and derivation the relevant calculation formulas. We then proposed spatial and temporal distribution of potentially dangerous factors. The next stage of research applications is performance assessment on subway transfer stations.
Keywords :
cultural aspects; data visualisation; environmental factors; organisational aspects; railway industry; Taipei metro transit transport system; crowd flow spatial survey; environmental carrying capacity; humanity cultural exchange; organizational assessment analysis; spatial distribution; temporal distribution; visualization analysis; Cultural differences; Logic gates; Environmental Behavior; Spatial Information Technology (SIT); Spatial Statistics; Visualization; digital video records;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GeoInformatics), 2014 22nd International Conference on
Conference_Location :
Kaohsiung
ISSN :
2161-024X
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2014.6950832
Filename :
6950832
Link To Document :
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