DocumentCode
2708598
Title
Exploring reliability parameters of urban public transport network for emergency management
Author
Zhang, Yang ; Zheng, Jianghua
Author_Institution
Coll. of Resource & Environ. Sci., Xinjiang Univ., Urumqi, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
7
Abstract
Topology and reliability of urban road network are usually impacted by emergencies. Scientific evaluation of urban public transport network reliability is an objective demand of emergency management. We argue in this paper: The small world network parameters, average path length L, clustering coefficient C and traditional road network reliability indicators could be taken into reliability analysis of urban public transport network. That is to take connectivity reliability, time reliability, capacity reliability, evacuation reliability and restructuring reliability as indicators of reliability of urban public transport network. Further analysis of the relationship between the five reliability indicators are carried out. It takes Urumqi city as an example, it preliminarily analyzes the public transportation reliability of Urumqi City which is under typical incidents. The results show that the proposed indicators can be more scientific and accurate to evaluate urban public transport network reliability under emergencies. It enriches the evaluation system of urban public transport network reliability and also more effectively and scientifically supports emergency management.
Keywords
emergency services; reliability theory; transportation; Urumqi City; emergency management; road network reliability indicators; urban public transport network reliability; Capacity planning; Cities and towns; Jamming; Reliability theory; Roads; emergency management; evacuation reliability; restructuring reliability; small-world; urban public transport network;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980833
Filename
5980833
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