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Original scientific paper

https://doi.org/10.17559/TV-20190212143303

RTA Analysis & Existing Modelling for Emergency Medical Service

Muhammad Asim Azim* ; 12th Floor Unit 8, Amarin Tower, 496-502 Ploenchit Road, Lumpini, Pathumwan, Bangkok 10330, Thailand
Dang Jianwu ; School of Electronics and Information Engineering, Lanzhou Jiaotong University, 88 West Anning Road Lanzhou, Gansu Province, P. R. China 730030
Wang Yangping ; 802 Post Box Lanzhou Jiaotong University, 88 West Anning Road Lanzhou, Gansu Province, P. R. China 730070
Tarique Aziz ; College of Electrical Engineering, Yuquan Campus, Zhejiang University, 38 Zheda Road, Hangzhou, P. R. China, 310027
Zhai Fengwen ; 802 Post Box Lanzhou Jiaotong University, 88 West Anning Road Lanzhou Gansu Province, P. R. China 730070


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Abstract

Prevention of accidents is extremely difficult in absence of present situation analysis, as the aim to identify the incident locations and safety deficiency area is the key to work out the effective solution. To access the feasibility of using Geographic Information System (GIS) for mapping of incident locations with an existing data source is vital to estimate variation of RTAs (Road Traffic Accidents) pattern by interpolating. Generally, accident particulars like location, date, time, sex and suspect are included in GIS database. Here, Arc GIS (10.2.1) software is applied to identify incident locations in Karachi district. To reduce the accidents in particular area/study area and in order to sustain coverage for emergency response, there may be such more factors including the number of ambulances deployed, their position/location, and dispatching strategies that affect the EMS system, authors strictly recommended covering based probabilistic model for (Rescue-15) solving the problem of ambulance locations. GIS facilitates the respective authority to do assessment and to analyze the entire position of the accident with the help of GPS or additional sources of information while consequences are utilized as part of the preparation progression is based on the acuity of the patient in time.

Keywords

EMS; GIS; Karachi (Pakistan); Spatial Analysis

Hrčak ID:

234234

URI

https://hrcak.srce.hr/234234

Publication date:

15.2.2020.

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