A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Occupants’ satisfaction with LEED- and non-LEED-certified apartments using social media data
https://orcid.org/0000-0002-9004-1740
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-0642-9700
Abstract Leadership in Energy and Environmental Design (LEED) certified buildings aim to offer a sustainable and healthy building environment. Previous studies have shown mixed and inconsistent results on whether occupants in LEED-certified buildings are more satisfied than in non-LEED-certified counterparts. Those studies are usually based on surveys or questionnaires for commercial buildings and were limited by sample size and pre-defined question structures. Since most people would spend more time at home after experiencing the COVID-19 pandemic due to the flexibility to work remotely, assessing the satisfaction with 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 of 232 LEED-certified and 129 non-LEED-certified apartment buildings from social media, then applied topic modeling and sentiment analysis to evaluate occupants’ satisfaction. Based on topic modeling, we categorized online comments into three topics, 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 three topics. 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 which is found to be significantly more satisfying in LEED-certified apartments. Nevertheless, the statistical significance in online star rating disappears when normalized by rent price and property house value.
Graphical abstract Display Omitted
Highlights Proposed a natural language processing method to assess occupants' satisfaction. Identified 3 topics (transportation & location, running cost, and health & wellbeing). The median satisfaction with LEED or non-LEED apartments is positive. A significant but small or negligible uptick in satisfaction with LEED apartments. There is a weak relationship between rent price and star rating.
Occupants’ satisfaction with LEED- and non-LEED-certified apartments using social media data
https://orcid.org/0000-0002-9004-1740
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-0642-9700
Abstract Leadership in Energy and Environmental Design (LEED) certified buildings aim to offer a sustainable and healthy building environment. Previous studies have shown mixed and inconsistent results on whether occupants in LEED-certified buildings are more satisfied than in non-LEED-certified counterparts. Those studies are usually based on surveys or questionnaires for commercial buildings and were limited by sample size and pre-defined question structures. Since most people would spend more time at home after experiencing the COVID-19 pandemic due to the flexibility to work remotely, assessing the satisfaction with 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 of 232 LEED-certified and 129 non-LEED-certified apartment buildings from social media, then applied topic modeling and sentiment analysis to evaluate occupants’ satisfaction. Based on topic modeling, we categorized online comments into three topics, 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 three topics. 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 which is found to be significantly more satisfying in LEED-certified apartments. Nevertheless, the statistical significance in online star rating disappears when normalized by rent price and property house value.
Graphical abstract Display Omitted
Highlights Proposed a natural language processing method to assess occupants' satisfaction. Identified 3 topics (transportation & location, running cost, and health & wellbeing). The median satisfaction with LEED or non-LEED apartments is positive. A significant but small or negligible uptick in satisfaction with LEED apartments. There is a weak relationship between rent price and star rating.
Occupants’ satisfaction with LEED- and non-LEED-certified apartments using social media data
https://orcid.org/0000-0002-9004-1740
https://orcid.org/0000-0002-2231-1606
https://orcid.org/0000-0002-0642-9700
Abstract Leadership in Energy and Environmental Design (LEED) certified buildings aim to offer a sustainable and healthy building environment. Previous studies have shown mixed and inconsistent results on whether occupants in LEED-certified buildings are more satisfied than in non-LEED-certified counterparts. Those studies are usually based on surveys or questionnaires for commercial buildings and were limited by sample size and pre-defined question structures. Since most people would spend more time at home after experiencing the COVID-19 pandemic due to the flexibility to work remotely, assessing the satisfaction with 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 of 232 LEED-certified and 129 non-LEED-certified apartment buildings from social media, then applied topic modeling and sentiment analysis to evaluate occupants’ satisfaction. Based on topic modeling, we categorized online comments into three topics, 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 three topics. 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 which is found to be significantly more satisfying in LEED-certified apartments. Nevertheless, the statistical significance in online star rating disappears when normalized by rent price and property house value.
Graphical abstract Display Omitted
Highlights Proposed a natural language processing method to assess occupants' satisfaction. Identified 3 topics (transportation & location, running cost, and health & wellbeing). The median satisfaction with LEED or non-LEED apartments is positive. A significant but small or negligible uptick in satisfaction with LEED apartments. There is a weak relationship between rent price and star rating.
Occupants’ satisfaction with LEED- and non-LEED-certified apartments using social media data
Guo, Xingtong (author) / Lee, Kyumin (author) / Wang, Zhe (author) / Liu, Shichao (author)
Building and Environment ; 206
2021-08-23
Article (Journal)
Electronic Resource
English
Occupant satisfaction in LEED and non-LEED certified buildings
| Online Contents | 2013
Occupant satisfaction in LEED and non-LEED certified buildings
| Elsevier | 2013
Occupant satisfaction in LEED and non-LEED certified buildings
| British Library Online Contents | 2013