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’s financial supports for the candidate hospitals.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Multiple sensor geocoded data

    Guertin, F.E. / Friedmann, D. / Simard, R. et al. | Elsevier | 1985


    Caching reverse-geocoded locations on smartphones

    Phan, Thomas / Baek, Albert / Singh, Abhishek et al. | IEEE | 2013


    Extracting Geocoded Images From SAR Data

    Curlander, John C. / Kwok, Ronald / Pang, Shirley S. et al. | NTRS | 1990


    Geocoded information aided vehicle warning

    Europäisches Patentamt | 2017

    Freier Zugriff

    GEOCODED INFORMATION AIDED VEHICLE WARNING

    DATTA GUPTA SOMAK / IGNACZAK BRAD / NEUBECKER CYNTHIA M et al. | Europäisches Patentamt | 2018

    Freier Zugriff