Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake

Yates, Dave; Paquette, Scott

doi:10.1016/j.ijinfomgt.2010.10.001

Cited by 746 publications

(419 citation statements)

References 17 publications

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“…Facebook, FlickR) are increasingly being exploited to monitor and map disease outbreaks (Signorini et al, 2011) and natural disasters (Gao et al, 2011;Yates & Paquette, 2011).…”

Section: Discussionmentioning

confidence: 99%

Detecting change in urban areas at continental scales with MODIS data

Mertes

Schneider

Sulla‐Menashe

et al. 2015

Remote Sensing of Environment

151

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Abstract. Urbanization is one of the most important components of global environmentalchange, yet most of what we know about urban areas is at the local scale. Remote sensing of urban expansion across large areas provides information on the spatial and temporal patterns of growth that are essential for understanding differences in socioeconomic and political factors that spur different forms of development, as well the social, environmental, and climatic impacts that result. However, mapping urban expansion globally is challenging: urban areas have a small footprint compared to other land cover types, their features are small, they are heterogeneous in both material composition and configuration, and the form and rates of new development are often highly variable across locations. Here we demonstrate a new methodology for monitoring urban land expansion at continental to global scales using Moderate Resolution Imaging Spectroradiometer (MODIS) data. The new method focuses on resolving the spectral and temporal ambiguities between urban/non-urban land and stable/changed areas by: (1) spatially constraining the study extent to known locations of urban land; (2) integrating multi-temporal data from multiple satellite data sources to classify ca 2010 urban extent; and (3) mapping newly built areas (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) within the 2010 urban land extent using a multi-temporal composite change detection approach based on MODIS 250 m annual maximum enhanced vegetation index (EVI). We test the method in 15 countries in East-Southeast Asia experiencing different rates and manifestations of urban expansion. A two-tiered accuracy assessment shows that the approach characterizes urban change across a variety of socicoeconomic/political and ecological/climatic conditions with good accuracy (70-91% overall accuracy by country, 69-89% by biome). The 250 m EVI data not only improve the classification results, but are capable of distinguishing between change and no-change areas in urban areas. Over 80% of ii the error in the change detection is related to human decision making or error propagation, rather than algorithm error. As such, these methods hold great potential for routine monitoring of urban change, as well as provide a consistent and up-to-date dataset on urban extent and expansion for a rapidly evolving region.

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“…Facebook, FlickR) are increasingly being exploited to monitor and map disease outbreaks (Signorini et al, 2011) and natural disasters (Gao et al, 2011;Yates & Paquette, 2011).…”

Section: Discussionmentioning

confidence: 99%

Detecting change in urban areas at continental scales with MODIS data

Mertes

Schneider

Sulla‐Menashe

et al. 2015

Remote Sensing of Environment

151

View full text Add to dashboard Cite

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“…Social networking applications and social media not only affect e-government but also play a role in its communications process [14]. However, scholars have urged caution regarding the utilization of SNS in e-government As SNS has become a formidable presence in social life, some researchers suggest government should collaborate with private sector in a different and guided approach utilizing social media in the public sector [15,16]; some authors have questioned social networking utilization's ability to reach every group of citizens equally [17], as well as the potential confusion between private and public use [18]. Whether there is theoretical consensus on the pace of SNS applications in e-government or not, both academics and practitioners need solid data and cases with respect to this ongoing tendency.…”

Section: E-government Applications: From Website Portals To Multiple mentioning

confidence: 99%

Towards a New Digital Era: Observing Local E-Government Services Adoption in a Chinese Municipality

Yao

2017

Future Internet

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Abstract:As electronic government services (e-government) evolve, traditional applications such as online portals are encountering challenges in a new digital era in which people thirst for more convenient, diverse channels of communication with their government. Despite the efforts devoted to the promotion of Social Networking Service (SNS) use in e-government for the past few years, empirical studies regarding this ongoing trend are still insufficient. In the local administration of China, a special collaboration between local governments and private Internet enterprises is happening: government services are imported into commercial SNS platforms known as WeChat and Weibo. This research conducts a case study of a Chinese municipality premised upon survey data (N = 605) collected in Chongqing. It examines the determinants of e-services adoption in four major local applications: two traditional government-led services "Government website portal" and "Government official app" (traditional government-led services), and two built-in government services on social networking applications "Weibo Government official account" "WeChat Public Services". The paper aims to provide a closer understanding of current trends in local government e-services, or in this case, an innovative trial of Chinese e-government practices.

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“…This type of information, called Volunteered Geographic Information, has been of great practical value to complement existing geospatial datasets (Goodchild, 2007), owing to the potentially large number of volunteers who act as "sensors" (Poser and Dransch, 2010). In recent natural disasters, VGI has been used to support the activities of emergency agencies and government departments (Poser and Dransch, 2010;Yates and Paquette, 2011;Roche et al, 2011;Kongthon et al, 2012;Kaewkitipong et al, 2012;Triglav-Čekada and Radovan, 2013;Chae et al, 2014).…”

Section: Volunteered Geographic Informationmentioning

confidence: 99%