The Correlation Analysis between Air Quality and Construction Sites: Evaluation in the Urban Environment during the COVID-19 Pandemic

Haoran Li, Ali Cheshmehzangi, Zhiang Zhang, Zhaohui Su, Saeid Pourroostaei Ardakani, Maycon Sedrez and Ayotunde Dawodu
Additional contact information
Haoran Li: The Bartlett Real Estate Institute, University College London (UCL), London WC1E 6BT, UK
Ali Cheshmehzangi: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Zhiang Zhang: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Zhaohui Su: Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX 78229, USA
Saeid Pourroostaei Ardakani: School of Computer Science, University of Nottingham Ningbo China, Ningbo 315100, China
Maycon Sedrez: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Ayotunde Dawodu: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China

Sustainability, 2022, vol. 14, issue 12, 1-20

Abstract: This research studies the data on air quality and construction activities from 29 January 2020 to 30 April 2020. The analysis focuses on three sample districts of Hangzhou’s Xiacheng, Gongshu, and Xiaoshan districts. The samples, respectively, represent low-level, mid-level, and high-level districts in the scale of construction projects. The correlative relationships are investigated, respectively, in the periods of ‘pandemic lockdown (29 January 2020–20 February 2020)’ and ‘after pandemic lockdown (21 February 2020–30 April 2020)’. The correlative equations are obtained. Based on the guideline values of air parameters provided by the Chinese criteria and standards, the recommended maximum scales of construction projects are defined. The numbers of construction sites are 16, 118, and 311 for the Xiacheng, Gongshu, and Xiaoshan districts during the imposed lockdown period, respectively, and 19, 88, 234, respectively, after the lockdown period. Because the construction site is only one influential factor on the air quality, and the database is not large enough, there are some limitations in the mathematical model and the management plan. Possible problem solving techniques and future studies are introduced at the end of the research study.

Keywords: city management; air quality index; COVID-19; building construction sites; lockdown; regression analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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