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ISPRS Int. J. Geo-Inf. 2016, 5(11), 203; doi:10.3390/ijgi5110203

Spatio-Temporal Risk Assessment Process Modeling for Urban Hazard Events in Sensor Web Environment

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
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Academic Editor: Wolfgang Kainz
Received: 30 June 2016 / Revised: 27 October 2016 / Accepted: 4 November 2016 / Published: 9 November 2016
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Abstract

Immediate risk assessment and analysis are crucial in managing urban hazard events (UHEs). However, it is a challenge to develop an immediate risk assessment process (RAP) that can integrate distributed sensors and data to determine the uncertain model parameters of facilities, environments, and populations. To solve this problem, this paper proposes a RAP modeling method within a unified spatio-temporal framework and forms a 10-tuple process information description structure based on a Meta-Object Facility (MOF). A RAP is designed as an abstract RAP chain that collects urban information resources and performs immediate risk assessments. In addition, we propose a prototype system known as Risk Assessment Process Management (RAPM) to achieve the functions of RAP modeling, management, execution and visualization. An urban gas leakage event is simulated as an example in which individual risk and social risk are used to illustrate the applicability of the RAP modeling method based on the 10-tuple metadata framework. The experimental results show that the proposed RAP immediately assesses risk by the aggregation of urban sensors, data, and model resources. Moreover, an extension mechanism is introduced in the spatio-temporal RAP modeling method to assess risk and to provide decision-making support for different UHEs. View Full-Text
Keywords: risk assessment process; urban hazard events; gas leakage; process chain risk assessment process; urban hazard events; gas leakage; process chain
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MDPI and ACS Style

Wang, W.; Hu, C.; Chen, N.; Xiao, C.; Jia, S. Spatio-Temporal Risk Assessment Process Modeling for Urban Hazard Events in Sensor Web Environment. ISPRS Int. J. Geo-Inf. 2016, 5, 203.

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