Social Media Communication Patterns of Construction Industry in Major Disasters
Social Media Communication Patterns of Construction Industry in Major Disasters
复制标题
重大灾害中建筑业社交媒体传播模式
DOI：
10.1061/9780784482865.072
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发表时间：
2020
影响因子：
2.8
通讯作者：
Nipesh Pradhananga
中科院分区：
文献类型：
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作者：
Md Ashraf Ahmed;A. M. Sadri;Piyush Pradhananga;Mohamed Elzomor,;Nipesh Pradhananga
建筑业利益相关者倾向于采用创新策略，以使其项目交付机制顺利运行。然而，在飓风等重大灾害期间，建筑行业在应对即将到来的飓风以及灾后恢复方面面临着一些挑战。为了有效地传播信息，在线社交媒体平台变得越来越普遍，最近的研究表明，社交媒体在危机沟通中发挥着重要作用。本研究的主要目的是揭示飓风迈克尔（2018）期间建筑行业的社交媒体传播模式。通过使用Twitter应用程序编程接口（API），收集了约2.75亿条推文（从2018年9月9日到11月19日），使用相关关键词，如飓风、建筑、工人、安全、站点、分包商、危险、重建、进度、供应等。已经使用了几种机器学习技术（主题模型和随时间变化的动态主题）和数据挖掘方法（最常见的单词）来分析基于此类tweet的文本、地理位置和时间戳的用户情感和关注点随时间和空间的变化。虽然飓风路径是关键的，但随着时间的推移不确定，这种数据驱动的方法揭示了建筑行业的危机沟通模式。具体而言，飓风期间计划施工的必要性、登陆前夜间施工的必要性、建筑行业持续的就业机会以及登陆后项目关闭的必要性都是突出的话题。本研究获得的危机沟通模式将有助于建筑利益相关者和决策者制定以社区为中心的战略决策，并促进重大灾害的有效应对和恢复。这种类型的研究还可以揭示延迟基础设施重建的潜在挑战，并为缩短恢复时间提供机会。
Construction industry stakeholders tend to adopt innovative strategies for the smooth operation of their project delivery mechanisms. However, during major disasters such as hurricanes, the construction industry experiences several challenges in responding to an approaching hurricane as well as the aftermath recovery. Online social media platforms are becoming more prevalent for effective information dissemination, and recent studies suggest that social media plays an important role in crisis communication. The primary objective of this study is to reveal social media communication patterns of construction industry during Hurricane Michael (2018). By employing Twitter application programming interface (API), ~275 Million tweets (from Sep. 9 to Nov. 19, 2018) were collected using relevant, keywords such as hurricane, construction, workers, safety, site, subcontractor, hazard, rebuilding, schedule, supply, among others. Several machine learning techniques (topic model and dynamic topics over time) and data mining approaches (most frequent words) have been used to analyze user sentiments and concerns over time and space based on text, geo-locations, and timestamps of such tweets. While the hurricane paths were critical but uncertain to follow over time, this data-driven method revealed crisis communication patterns of construction industry. Specifically, the necessity of planned construction during hurricane, construction at night before landfall, continuous job opportunity in construction industry, and project closure after landfall are among prominent topics. The crisis communication patterns obtained in this study will help construction stakeholders and policymakers to make strategic decisions that are community-centered as well as to facilitate effective response and recovery in major disasters. This type of study can also reveal latent challenges that delay reconstruction of infrastructure and provide opportunities to improve recovery time.