SPATIO-TEMPORAL STUDY OF THE DETERMINANTS OF RESIDENTIAL SATISFACTION IN NEW YORK CITY DURING COVID-19 USING CROWDSOURCED DATA

Author:

Azad S.,Ghandehari M.

Abstract

Abstract. Residential satisfaction, an indicator of the quality of life, can be conceptualized with the objective and subjective evaluation of the physical and ecological characteristics of dwellings and neighbourhoods. The majority of the New Yorkers remained indoors during the COVID-19 pandemic, increasing the importance of the residential environment and satisfaction like never before. Noise and safety are two major determinants of residential satisfaction that changed much during the pandemic lockdown. We used citizen-generated non-emergency (NYC311) and emergency (NYPD911) complaint data to investigate the spatial and temporal change dynamics of complaints related to noise and safety. In the noise domain, we focused on NYC311 complaints associated with the noise from neighbours, streets, and illegal fireworks. In the safety domain, we examined the change of both physical and economic safety. For physical safety, we used the NYPD 911 data related to burglary and vehicle larceny, where for economic safety, we used NYC311 complaints correspond to price gouging. We spatially aggregated the complaints at the census tract level (total = 2123) and performed Welsch’s t-test to identify the change dynamics of the satisfaction during the pandemic for different socioeconomic factors. We found the overall residential satisfaction decreased during the pandemic with extreme noise exposure and inadequate safety. The study also found the economic and racial disparity in residential satisfaction during the pandemic, as with statistical significance, the complaints regarding noise, physical and financial safety generated from the Black, Latinx, and impoverished communities were significantly higher than White, Asian and affluent communities.

Publisher

Copernicus GmbH

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3