Special Issue "Geoinformation for Disaster Risk Management"


A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (30 April 2015)

Special Issue Editor

Guest Editor
Dr. Christoph Aubrecht
AIT Austrian Institute of Technology GmbH, Donau-City-Str. 1, A-1220 Vienna, Austria
The World Bank, Urban and Disaster Risk Management, LCSDU, Washington, DC, USA
Website: http://homepage.univie.ac.at/christoph.aubrecht/
Interests: integration of GIS and remote sensing; population modeling; risk and vulnerability; disaster management; spatio-temporal aspects

Special Issue Information

Dear Colleagues,

Recent advancements in the field of geoinformation/geospatial technologies (GIT) which includes GIS, mobile mapping, volunteered geographic information (VGI), remote sensing and spatial analysis in line with increased global awareness of the topic (see UN International Strategy for Disaster Reduction), have resulted in a strong promotion of an integrated and applied perspective on GIScience in disaster risk research. Locational aspects have increasingly been considered essential in the aim of building disaster resilient communities, through coordinated international action, by promoting increased situational risk awareness as an integral component of sustainable development.

With disasters and disaster management being an “inherently spatial” problem, geographic information and related tools and technologies, applied for data interpretation and information dissemination, can provide insight and decision support in all aspects of integrated disaster risk and crisis management and offer the basis for estimating and mapping risk, for determining damage potentials and impacted areas, for evacuation planning, for resource distribution during recovery, and for risk communication to involved stakeholders. Applications and challenges that GIScience and GIT are able to tackle in that regard include the representation, analysis, and cognition of geographic information, as well as associated spatio-temporal dynamics and uncertainties. Recent improvements in information and model interoperability, as well as inter-accessibility through new data sharing, crowdsourcing, and integration initiatives, add to this agenda.

Dr. Christoph Aubrecht
Guest Editor


Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 150 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


  • exposure, vulnerability, and risk modeling for decision support
  • spatial disaster event databases
  • crowdsourcing and volunteered geographic information (vgi) in a disaster and crisis context and related geospatial modeling aspects
  • risk communication supported by geospatial mapping techniques
  • promotion of situational awareness in terms of communicating the actual spatial aspects and associated implications in a crisis context
  • near-real time mapping for response
  • crisis mapping and geovisualization
  • location technologies
  • data sharing initiatives for crisis and disaster management
  • interoperability aspects regarding disaster-related geodata
  • disaster and crisis related issues in spatial data infrastructures
  • webmapping for disaster and crisis support
  • spatio-temporal modeling
  • future challenges for disaster risk related geoinformation management

Published Papers (2 papers)

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p. 1033-1054
by , ,  and
ISPRS Int. J. Geo-Inf. 2015, 4(3), 1033-1054; doi:10.3390/ijgi4031033
Received: 31 March 2015 / Revised: 7 June 2015 / Accepted: 15 June 2015 / Published: 26 June 2015
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(This article belongs to the Special Issue Geoinformation for Disaster Risk Management)
p. 400-417
by  and
ISPRS Int. J. Geo-Inf. 2015, 4(1), 400-417; doi:10.3390/ijgi4010400
Received: 27 October 2014 / Revised: 3 March 2015 / Accepted: 10 March 2015 / Published: 19 March 2015
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Simulating and Communicating Outcomes in Disaster Management Situations
Author: Michal Lichter 1, A.Yair Grinberger 2 and Daniel Felsenstein 3
Affiliation: 1 Department of Geography, Hebrew University of Jerusalem Mount Scopus, 91900 ISRAEL
2 Department of Geography, Hebrew University of Jerusalem Mount Scopus, 91900 ISRAEL
3 Department of Geography, Hebrew University of Jerusalem Mount Scopus, 91900 ISRAEL
Abstract: The notion of disaster-related risk is conventionally asociated with social and economic disruption. It is generally formulated as a function of appropriately- weighted factors such as exposure, probability of occurance and type of hazard- all in a pre-disaster setting. Post-disaster the issue becomes one of management of recovery and restoration of the the system to its initial equilibrium. This aspect of post-disaster management has been less investigated as it deals with longer term, less tangible outcomes. We use a dynamic agent based (AB) model to simulate the long run outcomes of two very different urban disasters with severe consequences: an earthquake and a missile attack. These differ in terms of duration, intensity, permanance and focal points We simulate these hypothetical shocks in the downtown area of Jerusalem. Outcomes are compared in terms of their potential for disaster mitigation. In addition, identical policy measures for post-disaster management (active rehousing, emergency service provision and removal of land use restrictions) are simulated for both disasters and their results compared. The spatial and temporal dynamics of the simulation yield rich outputs. Web-based mapping is used to visualize these results and communicate risk to policy makers, planners and the informed public.

Title: A Model of Commuting Difficulties in an Urban District after a Devastating Earthquake
Toshihiro Osaragi
Affiliation: Tokyo Institute of Technology, Department of Mechanical and Environmental Informatics
Abstract: In the aftermath of a devastating earthquake, public transportation is presumed to be paralyzed and unavailable, and so a large number of people are expected to have difficulty in commuting. In recent years, district continuity plans (DCPs), as well as business continuity plans (BCPs), for recovery have become a big concern in many private companies and local governments. In this paper, we describe two simulation models that estimate the possibilities and the probabilities of commuting. The first is an intent-to-work model, which analyzes employees' intentions of commuting. The second is a mobility model that considers commuters' physical strength to travel on foot or by bicycle. Next, we attempt to estimate the number of people who would experience difficulty in commuting and discuss the spatial distribution of commuters. The number of commuters varies according to the commuters' attributes, such as sex and occupation. Finally, we evaluate the reduction in the fraction of people with difficulty in commuting through simulations assuming restoration work on damaged railroad lines.

Last update: 31 March 2015

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