Mapping Undermined Role of Information and Communication Technologies in Floods

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY Transport and Telecommunication Journal Pub Date : 2022-04-01 DOI:10.2478/ttj-2022-0015
Izza Anwer, M. Yousuf
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Abstract

Abstract This paper reports the undermined potential of broad range of (Information and communication technologies) ICTs that remained effective yet unnoticed in different flood-phases to exchange traffic, travel, and evacuation related information. The objective was to identify convenient ICTs that people found operational in life cycle of a flood. For the purpose, ICTs were tested in relation to 18 different variables based on personal capabilities, demographic, and vehicle-based information etc. Samples of 105 and 102 subjects were recruited from flood-prone communities of developing and developed case-studies respectively, through random sampling and analyzed through Multinomial Logistic Regression. Those categories of independent variables that showed p-value ≥ 0.05 were considered to model the results. The main findings showed that in developed countries TV, mobile phone subscriptions and international news channels were prominent source of information whilst in developing countries multiple messengers, Facebook and contributory websites were impactful for information dissemination. The results are useful for academia, engineers, and policy makers and for future work same variables can be tested for different disaster affected communities.
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信息和通信技术在洪水中的作用被削弱
摘要:本文报道了广泛的信息通信技术(ict)的潜力被削弱,这些技术在不同的洪水阶段仍然有效,但却被忽视,以交换交通、旅行和疏散相关信息。其目的是确定人们发现在洪水生命周期内可用的便利信息通信技术。为此,根据个人能力、人口统计和基于车辆的信息等,对信息通信技术与18个不同变量进行了测试。采用随机抽样的方法,从发展中国家和发达国家的洪水易发社区中分别招募105名和102名受试者,采用多项Logistic回归进行分析。那些显示p值≥0.05的自变量类别被认为对结果进行建模。主要发现表明,在发达国家,电视、手机订阅和国际新闻频道是重要的信息来源,而在发展中国家,多个信使、Facebook和贡献网站对信息传播具有影响力。这些结果对学术界、工程师和政策制定者以及未来的工作都很有用,同样的变量可以在不同的受灾社区进行测试。
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来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
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