Loading…
Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015
In the aftermath of a disaster, there is an urgent need for base maps to support relief efforts, especially in developing countries. In response to this, the OpenStreetMap project has been leveraged to produce maps of disaster-affected areas in a collaborative way. However, there has been little inv...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 197 |
container_issue | |
container_start_page | 188 |
container_title | |
container_volume | |
creator | Poiani, Thiago Henrique Dos Santos Rocha, Roberto Degrossi, Livia Castro Porto De Albuquerque, Joao |
description | In the aftermath of a disaster, there is an urgent need for base maps to support relief efforts, especially in developing countries. In response to this, the OpenStreetMap project has been leveraged to produce maps of disaster-affected areas in a collaborative way. However, there has been little investigation aimed at explaining the collaborative mapping activity itself. This study presents an exploratory case study on how the collaborative mapping activities that followed the Nepal Earthquake in 2015 were coordinated and structured, i.e. how volunteers were organized, and what were the main outcomes of their activity in the context of disaster management. The results show that a large number of remote contributors spread across the world carried out concerted efforts to support the relief work. Moreover, coordination mechanisms were used by local actors to share their knowledge with remote mappers, and, hence, to improve the accuracy of the map. |
doi_str_mv | 10.1109/HICSS.2016.31 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>proquest_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_7427206</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7427206</ieee_id><sourcerecordid>1816038043</sourcerecordid><originalsourceid>FETCH-LOGICAL-i274t-850d23b6612a2bc538dab070db6ba6c8032fb21234799a4455e600ce4be2616c3</originalsourceid><addsrcrecordid>eNotkDFPwzAUhA0CibYwMrF4ZEl5tmMnZatCoZUKRQTmyEleqCFNUttB6r8nqEy33H26O0KuGUwZg9ndcpWk6ZQDU1PBTsgYIjWTUkXATsmIy4gHKlb8jIyYFBAwBfKCjJ37AuAQMjUi9rX12Hija9pWNGnrWuet1d78IH3WXWeaT1q1lj4Yp51HS9-wNljd0zlNtEOa-r48_EU3HTapt4h-iFHTUL9F-oLdAF5o67f7Xn8jHZrKS3Je6drh1b9OyMfj4j1ZBuvN0yqZrwPDo9AHsYSSi1wpxjXPCyniUucQQZmrXKsiBsGrnDMuwmg202EoJSqAAsMcuWKqEBNye-R2tt336Hy2M67AYWGDbe8yFg9_iBhCMVhvjlaDiFlnzU7bQxaFPOKgxC9WLmec</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>1816038043</pqid></control><display><type>conference_proceeding</type><title>Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015</title><source>IEEE Xplore All Conference Series</source><creator>Poiani, Thiago Henrique ; Dos Santos Rocha, Roberto ; Degrossi, Livia Castro ; Porto De Albuquerque, Joao</creator><creatorcontrib>Poiani, Thiago Henrique ; Dos Santos Rocha, Roberto ; Degrossi, Livia Castro ; Porto De Albuquerque, Joao</creatorcontrib><description>In the aftermath of a disaster, there is an urgent need for base maps to support relief efforts, especially in developing countries. In response to this, the OpenStreetMap project has been leveraged to produce maps of disaster-affected areas in a collaborative way. However, there has been little investigation aimed at explaining the collaborative mapping activity itself. This study presents an exploratory case study on how the collaborative mapping activities that followed the Nepal Earthquake in 2015 were coordinated and structured, i.e. how volunteers were organized, and what were the main outcomes of their activity in the context of disaster management. The results show that a large number of remote contributors spread across the world carried out concerted efforts to support the relief work. Moreover, coordination mechanisms were used by local actors to share their knowledge with remote mappers, and, hence, to improve the accuracy of the map.</description><identifier>ISSN: 1530-1605</identifier><identifier>EISSN: 2572-6862</identifier><identifier>EISSN: 1530-1605</identifier><identifier>EISBN: 0769556701</identifier><identifier>EISBN: 9780769556703</identifier><identifier>DOI: 10.1109/HICSS.2016.31</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Buildings ; Collaboration ; Computers ; Conferences ; Context ; Developing countries ; Disaster management ; Disaster relief ; Earthquakes ; Mapping ; Open systems ; Roads</subject><ispartof>2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, p.188-197</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7427206$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7427206$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Poiani, Thiago Henrique</creatorcontrib><creatorcontrib>Dos Santos Rocha, Roberto</creatorcontrib><creatorcontrib>Degrossi, Livia Castro</creatorcontrib><creatorcontrib>Porto De Albuquerque, Joao</creatorcontrib><title>Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015</title><title>2016 49th Hawaii International Conference on System Sciences (HICSS)</title><addtitle>HICSS</addtitle><description>In the aftermath of a disaster, there is an urgent need for base maps to support relief efforts, especially in developing countries. In response to this, the OpenStreetMap project has been leveraged to produce maps of disaster-affected areas in a collaborative way. However, there has been little investigation aimed at explaining the collaborative mapping activity itself. This study presents an exploratory case study on how the collaborative mapping activities that followed the Nepal Earthquake in 2015 were coordinated and structured, i.e. how volunteers were organized, and what were the main outcomes of their activity in the context of disaster management. The results show that a large number of remote contributors spread across the world carried out concerted efforts to support the relief work. Moreover, coordination mechanisms were used by local actors to share their knowledge with remote mappers, and, hence, to improve the accuracy of the map.</description><subject>Buildings</subject><subject>Collaboration</subject><subject>Computers</subject><subject>Conferences</subject><subject>Context</subject><subject>Developing countries</subject><subject>Disaster management</subject><subject>Disaster relief</subject><subject>Earthquakes</subject><subject>Mapping</subject><subject>Open systems</subject><subject>Roads</subject><issn>1530-1605</issn><issn>2572-6862</issn><issn>1530-1605</issn><isbn>0769556701</isbn><isbn>9780769556703</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2016</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkDFPwzAUhA0CibYwMrF4ZEl5tmMnZatCoZUKRQTmyEleqCFNUttB6r8nqEy33H26O0KuGUwZg9ndcpWk6ZQDU1PBTsgYIjWTUkXATsmIy4gHKlb8jIyYFBAwBfKCjJ37AuAQMjUi9rX12Hija9pWNGnrWuet1d78IH3WXWeaT1q1lj4Yp51HS9-wNljd0zlNtEOa-r48_EU3HTapt4h-iFHTUL9F-oLdAF5o67f7Xn8jHZrKS3Je6drh1b9OyMfj4j1ZBuvN0yqZrwPDo9AHsYSSi1wpxjXPCyniUucQQZmrXKsiBsGrnDMuwmg202EoJSqAAsMcuWKqEBNye-R2tt336Hy2M67AYWGDbe8yFg9_iBhCMVhvjlaDiFlnzU7bQxaFPOKgxC9WLmec</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Poiani, Thiago Henrique</creator><creator>Dos Santos Rocha, Roberto</creator><creator>Degrossi, Livia Castro</creator><creator>Porto De Albuquerque, Joao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20160101</creationdate><title>Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015</title><author>Poiani, Thiago Henrique ; Dos Santos Rocha, Roberto ; Degrossi, Livia Castro ; Porto De Albuquerque, Joao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i274t-850d23b6612a2bc538dab070db6ba6c8032fb21234799a4455e600ce4be2616c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Buildings</topic><topic>Collaboration</topic><topic>Computers</topic><topic>Conferences</topic><topic>Context</topic><topic>Developing countries</topic><topic>Disaster management</topic><topic>Disaster relief</topic><topic>Earthquakes</topic><topic>Mapping</topic><topic>Open systems</topic><topic>Roads</topic><toplevel>online_resources</toplevel><creatorcontrib>Poiani, Thiago Henrique</creatorcontrib><creatorcontrib>Dos Santos Rocha, Roberto</creatorcontrib><creatorcontrib>Degrossi, Livia Castro</creatorcontrib><creatorcontrib>Porto De Albuquerque, Joao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Poiani, Thiago Henrique</au><au>Dos Santos Rocha, Roberto</au><au>Degrossi, Livia Castro</au><au>Porto De Albuquerque, Joao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015</atitle><btitle>2016 49th Hawaii International Conference on System Sciences (HICSS)</btitle><stitle>HICSS</stitle><date>2016-01-01</date><risdate>2016</risdate><spage>188</spage><epage>197</epage><pages>188-197</pages><issn>1530-1605</issn><eissn>2572-6862</eissn><eissn>1530-1605</eissn><eisbn>0769556701</eisbn><eisbn>9780769556703</eisbn><coden>IEEPAD</coden><abstract>In the aftermath of a disaster, there is an urgent need for base maps to support relief efforts, especially in developing countries. In response to this, the OpenStreetMap project has been leveraged to produce maps of disaster-affected areas in a collaborative way. However, there has been little investigation aimed at explaining the collaborative mapping activity itself. This study presents an exploratory case study on how the collaborative mapping activities that followed the Nepal Earthquake in 2015 were coordinated and structured, i.e. how volunteers were organized, and what were the main outcomes of their activity in the context of disaster management. The results show that a large number of remote contributors spread across the world carried out concerted efforts to support the relief work. Moreover, coordination mechanisms were used by local actors to share their knowledge with remote mappers, and, hence, to improve the accuracy of the map.</abstract><pub>IEEE</pub><doi>10.1109/HICSS.2016.31</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1530-1605 |
ispartof | 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016, p.188-197 |
issn | 1530-1605 2572-6862 1530-1605 |
language | eng |
recordid | cdi_ieee_primary_7427206 |
source | IEEE Xplore All Conference Series |
subjects | Buildings Collaboration Computers Conferences Context Developing countries Disaster management Disaster relief Earthquakes Mapping Open systems Roads |
title | Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T12%3A17%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Potential%20of%20Collaborative%20Mapping%20for%20Disaster%20Relief:%20A%20Case%20Study%20of%20OpenStreetMap%20in%20the%20Nepal%20Earthquake%202015&rft.btitle=2016%2049th%20Hawaii%20International%20Conference%20on%20System%20Sciences%20(HICSS)&rft.au=Poiani,%20Thiago%20Henrique&rft.date=2016-01-01&rft.spage=188&rft.epage=197&rft.pages=188-197&rft.issn=1530-1605&rft.eissn=2572-6862&rft.coden=IEEPAD&rft_id=info:doi/10.1109/HICSS.2016.31&rft.eisbn=0769556701&rft.eisbn_list=9780769556703&rft_dat=%3Cproquest_CHZPO%3E1816038043%3C/proquest_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i274t-850d23b6612a2bc538dab070db6ba6c8032fb21234799a4455e600ce4be2616c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1816038043&rft_id=info:pmid/&rft_ieee_id=7427206&rfr_iscdi=true |