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The Use of Big Data and Social Networks for Disaster Management - Technical Report

PIARC's Technical Committee 1.5 - Disaster Management, has established a task related to the'Use of Big Data and Social Networks for Disaster Management. This task considers new information evolutions such as big data and social networks. It involves an international literature review, collection and analysis of case studies and engagement with worldwide road administrations to learn from global experience to promote knowledge sharing.

As part of this research, TC 1.5 – Working Group 1 (WG1) carried out an international survey. The main themes of survey questions were the Types of Big Data and Social Network information collected and the frequency of collection, validation techniques and ensuring the accuracy of the collected data, data analysis and dissemination (technologies, software, etc.), benefits to the road administration and road users, and application with COVID-19 pandemic.

From survey responses analysis, which came from 22 countries with a continent breakdown as follows; 8 (Asia), 8 (Europe), 5 (America) and 1 (Oceania), the following results were obtained:

  1. Production of a briefing note to provide an overview of the project methodology and summary of findings on survey results.
  2.  Collection of 11 case study related to the survey main topics, which came from Japan (3), China (1), South Korea (1), Chile (1), Czech Republic (2), Spain (1), New Zealand (1) and Poland (1).

Analysis shows extensive collection and analysis of Big Data and information from Social Networks is taking place during the disaster/emergency lifecycle. Most of this information relates to traffic, infrastructure and weather data.

This technical report contains a brief summary of survey results and case study analysis, conclusions and recommendations for decision-makers and international organizations.

Information sheet

  • Date: 2023
  • Type: 2023R22EN - Technical Report
  • PIARC Ref.: 2023R22EN
  • ISBN: 978-2-84060-795-3
  • Number of pages: 60