Locating an ambulance base by using social media: a case study in Bangkok

Locating an ambulance base by using social media: a case study in Bangkok Ann Oper Res https://doi.org/10.1007/s10479-018-2918-8 S.I.: APPLICATIONS OF OR IN DISASTER RELIEF OPERATIONS Locating an ambulance base by using social media: a case study in Bangkok 1 1 Suriyaphong Nilsang · Chumpol Yuangyai · 2 1 Chen-Yang Cheng · Udom Janjarassuk © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Response time reduction is a fundamental aspect of ambulance location manage- ment. To minimize patient mortality and disability, the response time of emergency medical services is critical. Therefore, real-time management is required to determine the location of an ambulance with a low response time or called or a dynamic allocation system. Dynamic allocation is moving the ambulance bases from low demand areas to high-demand areas that is useful in the operational level. However, the dynamic allocation model for real-time man- agement requires re-allocation of ambulances, resulting in high costs and heavy workloads for the ambulance crews. This paper focuses on a covering model based on social media anal- ysis. The model was used for developing an ambulance reallocation system. In addition to dynamic allocation, the proposed model considers real-time data from a social media appli- cation (Twitter) to minimize the response time and cost during emergencies and disasters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Operations Research Springer Journals

Locating an ambulance base by using social media: a case study in Bangkok

Loading next page...
 
/lp/springer_journal/locating-an-ambulance-base-by-using-social-media-a-case-study-in-VOuiVJ7oWn
Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Business and Management; Operations Research/Decision Theory; Combinatorics; Theory of Computation
ISSN
0254-5330
eISSN
1572-9338
D.O.I.
10.1007/s10479-018-2918-8
Publisher site
See Article on Publisher Site

Abstract

Ann Oper Res https://doi.org/10.1007/s10479-018-2918-8 S.I.: APPLICATIONS OF OR IN DISASTER RELIEF OPERATIONS Locating an ambulance base by using social media: a case study in Bangkok 1 1 Suriyaphong Nilsang · Chumpol Yuangyai · 2 1 Chen-Yang Cheng · Udom Janjarassuk © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Response time reduction is a fundamental aspect of ambulance location manage- ment. To minimize patient mortality and disability, the response time of emergency medical services is critical. Therefore, real-time management is required to determine the location of an ambulance with a low response time or called or a dynamic allocation system. Dynamic allocation is moving the ambulance bases from low demand areas to high-demand areas that is useful in the operational level. However, the dynamic allocation model for real-time man- agement requires re-allocation of ambulances, resulting in high costs and heavy workloads for the ambulance crews. This paper focuses on a covering model based on social media anal- ysis. The model was used for developing an ambulance reallocation system. In addition to dynamic allocation, the proposed model considers real-time data from a social media appli- cation (Twitter) to minimize the response time and cost during emergencies and disasters.

Journal

Annals of Operations ResearchSpringer Journals

Published: Jun 5, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off