@inproceedings{d2906f5f7c9e4a10bb2c2194fe96a5cb,
title = "Optimal location of regional emergency trauma centers using geocoded crash data",
abstract = "Crashes on highways tend to be more serious on account of the high-speed driving of the vehicles involved. Therefore, a delay in handling a crash or transporting a patient may mean additional personal injury. To prevent such injury, quick emergency response is required. The purpose of this study is to analyze the optimal locations of regional emergency trauma centers, which allow for the effective handling of emergency trauma patients, and to determine the priority of each candidate hospital in terms of establishing trauma centers. Under such purpose, this study geocoded highway crash records to create a basis for spatial analysis and determined the priority of each candidate hospital by calculating the number of crashes handled based on the traffic volume and the severity of crashes using the maximum covering location problem model. The significance of this study is that it provides a basis for prioritizing the government{\textquoteright}s financial supports for the candidate hospitals.",
keywords = "Equivalent property damage only, Geocoding, Maximum covering location problem, Regional emergency trauma center, Spatial analysis",
author = "Park, {Shin Hyoung} and Kwon, {Oh Hoon}",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 11th International Conference on Future Information Technology, FutureTech 2016 ; Conference date: 20-04-2016 Through 22-04-2016",
year = "2016",
doi = "10.1007/978-981-10-1536-6_79",
language = "English",
isbn = "9789811015359",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "609--615",
editor = "Hai Jin and Young-Sik Jeong and Khan, {Muhammad Khurram} and Park, {James J.}",
booktitle = "Advanced Multimedia and Ubiquitous Engineering - FutureTech and MUE",
address = "Germany",
}