Multiple Spatial-Temporal factors with Social Network information using Data Visualization for Emergency Ambulance Base Locations

Authors

  • Pakinai Chaicharoenwut Industrial Engineering Department, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang
  • Suriyaphong Nilsang Industrial Engineering Department, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang
  • Chumpol Yuangyai Industrial Engineering Department, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang
  • Pornsak Attavanich Industrial Management Technology Faculty of Science and Technology Southeast Bangkok College

Keywords:

Emergency Medical Service, covering model, kernel density estimation, social network data, spatial-temporal data

Abstract

The Emergency Medical Service (EMS) are very important for helping wounded people or victims from the situation either from people or the natural disasters. Hence, the quickly access to those who have been a wounded people is very significant. To access into the scene of the accident have time to acceptable the response time is 8 minutes to increase more opportunities or reduce disability of wounded people. Therefore, allocating an emergency ambulance base for quick access to the accident area is very important. Currently, the emergency medical service allocates emergency ambulance base at hospitals. By using experts or past information to make decisions In this study, the application of data from social media and spatial data and time showing the thickness of each area for receiving emergency medical services using heatmap Visualization by the kernel density estimation method And use the highest-density high-density and medium-density results to force the selection in the mathematical model, also known as the covering model, in deciding the emergency ambulance base allocation in Bangkok, which is a case study in This time As for the results from this case study, the method proposed is to reduce emergency parking spaces that are more than necessary by 20%, increase coverage area of 2.72%, and increase service coverage by 1%.

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Published

2020-06-02