IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-11-13 11:05
Analyzing and Predicting Ambulance Demand for Heat Stroke Using Fine-grained Dispatch Log
Tetsuya Nakai, Sachio Saiki, Masahide Nakamura (Kobe Univ.) KBSE2020-11 SC2020-15
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the number of emergency transports is on the increase
The number is expected to continue to grow.
As a result, emergency medical service will be busier.
Therefore, emergency medical service needs taking more appropriate and concrete measures by analyzing dispatch logs.
In this paper, we focus on summer heat stroke as a contributing factor to the busyness on the emergency medical service.
In order to identify whether the number of heat stroke transports affects the busyness of emergency medical service, we analyze from the rush time.
Moreover, we predict the number of persons transported for heat stroke per day.
By analyzing in detail the dispatch logs of the Kobe Fire Department, we found that heat stroke affects the busyness of emergency medical service.
In addition, we were able to predict the number of persons transported for heat stroke from weather data.
Keyword (in Japanese) (See Japanese page) 
(in English) heat stroke / ambulance / smartcity / demand prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 232, SC2020-15, pp. 13-19, Nov. 2020.
Paper # SC2020-15 
Date of Issue 2020-11-06 (KBSE, SC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF KBSE2020-11 SC2020-15

Conference Information
Committee KBSE SC  
Conference Date 2020-11-13 - 2020-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Online + Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2020-11-KBSE-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analyzing and Predicting Ambulance Demand for Heat Stroke Using Fine-grained Dispatch Log 
Sub Title (in English)  
Keyword(1) heat stroke  
Keyword(2) ambulance  
Keyword(3) smartcity  
Keyword(4) demand prediction  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tetsuya Nakai  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Sachio Saiki  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Masahide Nakamura  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2020-11-13 11:05:00 
Presentation Time 30 minutes 
Registration for SC 
Paper # KBSE2020-11, SC2020-15 
Volume (vol) vol.120 
Number (no) no.231(KBSE), no.232(SC) 
Page pp.13-19 
#Pages
Date of Issue 2020-11-06 (KBSE, SC) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan