Occupants’ Satisfaction with LEED- and Non-LEED-Certified Apartments Using Social Media Data

Xingtong Guo, Kyumin Lee, Zhe Wang and Shichao Liu

No 8q4zt, OSF Preprints from Center for Open Science

Abstract: Leadership in Energy and Environmental Design (LEED) certified buildings aim to offer a sustainable and healthy built environment. Previous studies have shown mixed and inconsistent results on whether occupants in LEED-certified buildings are more satisfying than in non-LEED-certified counterparts. Those studies usually based on surveys or questionnaires for commercial buildings were limited by sample size and pre-defined question structures. Since most people stay longer at home during the COVID-19 pandemic and the trend might continue in the post-pandemic era, assessing the satisfaction with LEED-certified residential buildings benefits future environmental design and certification system development. In this work, we propose a natural language processing-based approach for such assessment. The study collected 16,761 online reviews on 260 LEED-certified apartments and 180 non-LEED-certified-apartments from social media, then applied topic modeling and sentiment analysis to evaluate occupants’ satisfaction. Based on topic modeling, we categorized online comments into three topic clusters, 1) location and transportation, 2) running cost, and 3) health and wellbeing. The subsequent sentiment analysis has shown a statistically significant but small or negligible enhancement in the satisfaction occurring in LEED-certified apartments compared to non-LEED-certified ones concerning all the three topic clusters. The “significant but small or negligible uptick” has also been found in online star rating and indoor environmental satisfaction. The only exception with a large effect size is lighting that is significantly more satisfying in LEED-certified apartments. Nevertheless, the statistical significance in online star rating disappears when it is normalized by rent price and property house value.

Date: 2021-06-30
New Economics Papers: this item is included in nep-env
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://osf.io/download/60dc7175f83de201d9afe06b/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:8q4zt

DOI: 10.31219/osf.io/8q4zt

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF (contact@cos.io).