RTA Analysis & Existing Modelling for Emergency Medical Service
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 incid...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/340544 |
| _version_ | 1797207253603844096 |
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| author | Muhammad Asim Azim* Dang Jianwu Wang Yangping Tarique Aziz Zhai Fengwen |
| author_facet | Muhammad Asim Azim* Dang Jianwu Wang Yangping Tarique Aziz Zhai Fengwen |
| author_sort | Muhammad Asim Azim* |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:19:59Z |
| format | Article |
| id | doaj.art-08f283a7e4a24cfe961c0f1b7e38a6c1 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:19:59Z |
| publishDate | 2020-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-08f283a7e4a24cfe961c0f1b7e38a6c12024-04-15T16:05:01ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392020-01-0127125126110.17559/TV-20190212143303RTA Analysis & Existing Modelling for Emergency Medical ServiceMuhammad Asim Azim*0Dang Jianwu1Wang Yangping2Tarique Aziz3Zhai Fengwen412th Floor Unit 8, Amarin Tower, 496-502 Ploenchit Road, Lumpini, Pathumwan, Bangkok 10330, ThailandSchool of Electronics and Information Engineering, Lanzhou Jiaotong University, 88 West Anning Road Lanzhou, Gansu Province, P. R. China 730030802 Post Box Lanzhou Jiaotong University, 88 West Anning Road Lanzhou, Gansu Province, P. R. China 730070College of Electrical Engineering, Yuquan Campus, Zhejiang University, 38 Zheda Road, Hangzhou, P. R. China, 310027802 Post Box Lanzhou Jiaotong University, 88 West Anning Road Lanzhou Gansu Province, P. R. China 730070Prevention 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.https://hrcak.srce.hr/file/340544EMSGISKarachi (Pakistan)Spatial Analysis |
| spellingShingle | Muhammad Asim Azim* Dang Jianwu Wang Yangping Tarique Aziz Zhai Fengwen RTA Analysis & Existing Modelling for Emergency Medical Service Tehnički Vjesnik EMS GIS Karachi (Pakistan) Spatial Analysis |
| title | RTA Analysis & Existing Modelling for Emergency Medical Service |
| title_full | RTA Analysis & Existing Modelling for Emergency Medical Service |
| title_fullStr | RTA Analysis & Existing Modelling for Emergency Medical Service |
| title_full_unstemmed | RTA Analysis & Existing Modelling for Emergency Medical Service |
| title_short | RTA Analysis & Existing Modelling for Emergency Medical Service |
| title_sort | rta analysis existing modelling for emergency medical service |
| topic | EMS GIS Karachi (Pakistan) Spatial Analysis |
| url | https://hrcak.srce.hr/file/340544 |
| work_keys_str_mv | AT muhammadasimazim rtaanalysisexistingmodellingforemergencymedicalservice AT dangjianwu rtaanalysisexistingmodellingforemergencymedicalservice AT wangyangping rtaanalysisexistingmodellingforemergencymedicalservice AT tariqueaziz rtaanalysisexistingmodellingforemergencymedicalservice AT zhaifengwen rtaanalysisexistingmodellingforemergencymedicalservice |