Real-time mapping of natural disasters using citizen update streams

Subasinghe, Iranga; Nittel, Silvia; Cressey, Michael; Landon, Melissa E.; Bajracharya, Prashanta

doi:10.1080/13658816.2019.1639185

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…The disaster management paradigm has shifted from being centralized and government-based to being decentralized, citizen-based, and participatory. The extensive participation of citizens during the occurrence of disasters not only provides support to relieve the gap of disaster damage and solve vulnerability but also has a positive influence on rebuilding after disasters as well as developing the local community [1][2][3][4][5]. Hicks et al demonstrated that citizens' participation led to global mapping and resulted in enhancing the disaster reduction [6].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

et al. 2020

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This study aimed to analyze how resource variables (health status, economic affordability, social network, social capital, and neighborhood environment) influence citizens’ intention to pay for and participate in disaster management and safety activities. We compared four psychometric paradigm variables with five resource variables and analyzed how the latter moderate the relationships of the perception variables with intention to pay and to participate. A regression analysis revealed that willingness to pay was mainly explained by trust, followed by social capital, economic affordability, perceived risk, and experience, respectively. Participation was explained by knowledge, social capital, age, trust, and social network, respectively. Gender, trust, and social capital had an influence both on willingness to pay and to participate. Perceived risk, knowledge, and trust had a moderating effect on willingness to pay, but this effect depended on the quality of the neighborhood environment. Trust, knowledge, and stigma had a moderating effect on participation intention, but this effect depended on social capital and the neighborhood environment.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

et al. 2020

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“…In 2019, Subasinghe et al developed Citizen Disaster Reaction Multi-Agent Simulation, a multiagent system that simulates the reaction of citizens to a natural disaster in a city by gathering information from social media [1]. The evaluation result showed that event mapping based on citizen update streams is mostly influenced by the amount and movement of citizen.…”

Section: Related Workmentioning

confidence: 99%

“…Each path will be splatted into several segments with maximum length of the segment is 5 meters [30]. To segment paths with a maximum length of 5 meters can use the following query: SELECT a.osm_id,(a.ra).path [1] AS sid, a.name, st_segmentize ((a.ra).geom, 0.00004533::double precision) AS lgeom, st_length ((a.ra).geom::geography) AS length FROM (SELECT osm_id::bigint AS osm_id, name, st_dump(geom) AS ra FROM pnm_roads) a;…”

Section: Road Segmentationsmentioning

confidence: 99%

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A Web and Mobile GIS for Identifying Areas within the Radius Affected by Natural Disasters Based on OpenStreetMap Data

Ariyanto¹,

Syaifudin²,

Puspitasari³

et al. 2019

Int. J. Onl. Eng.

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In many countries where natural disasters often occur, such as Indonesia, information about the area affected by the disaster is very important. As in the transportation sector, road users must avoid affected areas and roads. To overcome this problem, in this paper we propose a Geographic Information System (GIS) to identify areas affected by natural disasters within a certain radius. We use a web-based and mobile platform to present an open access system. In addition, we utilize OpenStreetMap map data as a source of spatial database that is open, wide-scale, and complete. In the initial stage, polygon-shaped road data will be split in-to shorter line segments and stored in PostGIS Spatial DBMS. Furthermore, this system will automatically detect road segments that included within the radius of a natural disaster event. Displays of road segments affected by disasters will be accessible to users through web and mobile applications. In addition, we also test and evaluate our system in case studies in certain areas in Indonesia.

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Digital post-disaster risk management twinning: A review and improved conceptual framework

Lagap,

Ghaffarian

2024

International Journal of Disaster Risk Reduction

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Real-time mapping of natural disasters using citizen update streams

Cited by 6 publications

References 26 publications

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management

A Web and Mobile GIS for Identifying Areas within the Radius Affected by Natural Disasters Based on OpenStreetMap Data

Digital post-disaster risk management twinning: A review and improved conceptual framework

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