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Author
Toshihiro Osaragi
Title
Spatiotemporal Distribution of Automobile Users: Estimation Method and Applications to Disaster Mitigation Planning
Type
Conference Article
Year
2015
Publication
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2015
Volume
Issue
Pages
Keywords
automobile user
;
person trip survey
;
road network
;
spatiotemporal distribution
;
Tokyo
Abstract
When discussing human casualties from a severe earthquake with regard to urban disaster mitigation planning, it is important to clarify the characteristics of the spatiotemporal distribution of people. In this paper, we construct a model that estimates the spatiotemporal distribution of automobile users using data from the Person Trip Survey and the Road Traffic Census. We use this model to estimate the spatiotemporal distribution of automobile users in Tokyo and demonstrate several ways to apply this data to urban disaster mitigation planning.
Address
Corporate Author
Thesis
Publisher
University of Agder (UiA)
Place of Publication
Kristiansand, Norway
Editor
L. Palen; M. Buscher; T. Comes; A. Hughes
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9788271177881
Medium
Track
Geospatial Data and Geographical Information Science
Expedition
Conference
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1210
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Author
Toshihiro Osaragi
Title
Estimation of Transient Occupants on Weekdays and Weekends for Risk Exposure Analysis
Type
Conference Article
Year
2016
Publication
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2016
Volume
Issue
Pages
Keywords
Risk Exposure
;
Weekday/weekend
;
Spatiotemporal distribution
;
Person Trip Survey
;
Collapsed building
Abstract
Understanding the characteristics of the spatiotemporal distribution of a population, which varies according to the time of the day and the day of the week (weekday or weekend), is one of the most important issues in the field of urban disaster mitigation planning. However, the existing Person Trip Survey data based on weekdays is not appropriate for estimating the spatiotemporal distribution of population on weekends. In the present study, we proposed a method for converting existing Person Trip Survey data from a weekday base to a weekend base and examined the differences in the spatiotemporal distribution of the population. Using these databases, we attempted to compare the number of deaths due to building collapse estimated for weekdays and weekends for various districts in the Tokyo Metropolitan area.
Address
Corporate Author
Thesis
Publisher
Federal University of Rio de Janeiro
Place of Publication
Rio de Janeiro, Brasil
Editor
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3430
ISBN
978-84-608-7984-51
Medium
Track
Geospatial Data and Geographical Information Science
Expedition
Conference
13th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1370
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