Title:	DETERMINING THE SIGNIFICANCE OF EXTREME EVENTS IN TEXAS CONSTRUCTION MARKET THROUGH OUTLIER DETECTION OF TEXAS CONSTRUCTION HIRING DATA
Author(s):	Milad Ashtab and Boong Yeol Ryoo
ISBN:	978-989-8704-26-9
Editors:	Piet Kommers and Pedro Isaías
Year:	2021
Edition:	Single
Keywords:	Post-Disaster, Construction Hiring, Workforce Migration, Extreme Events Analysis, Outlier Detection
Type:	Short
First Page:	264
Last Page:	268
Language:	English
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Paper Abstract:	The Texas construction market is the second-largest hub inside the U.S. Nearly 750 thousand people are working in different sectors of the Texas construction industry. Although the big picture indicates steady growth in Texas hiring size in the last 30 years, the Texas construction market's volatility has been an issue for construction companies and their hiring plans. Rather than seasonal patterns inherent to construction activities, factors such as economic recessions and crises, tropical hurricanes, and outbreaks of pandemics are potential reasons for fluctuations in construction companies' demand to hire. The impact of each factor on the cities varies due to geographical and demographical diversity inside Texas. This paper focuses on understanding workforce migration behaviors following local disasters because it relies heavily on the local workforce. To determine each factor's significance is to find if they created an anomaly in the dataset after they occurred. This research implemented an outlier detection analysis on Texas cities and compared the resulting outlier dates with the timeline of Texas's extreme events in the last 30 years. The results show that economic crises with national scales such as the dot-com bubble at the start of the century and the 2008 economic crisis mostly affected four major cities (Austin, Houston, Dallas/Fort Worth, and San Antonio) of Texas. Multi-state local disasters such as hurricane Harvey impacted both major cities and their satellite cities, suggesting the migration of the workforce to the disaster-areas. The research found that low population cities have been affected by local disasters.
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