Green housing on social media in China: A text mining analysis

Building and Environment - Tập 237 - Trang 110338 - 2023
Chen Shen1, Ping Li2
1Department of Public Policy, City University of Hong Kong, 999077, Hong Kong, China
2School of Civil Engineering, Wuhan University, Wuhan 430072, China

Tài liệu tham khảo

Zahan, 2020, Green purchase behavior towards green housing: an investigation of Bangladeshi consumers, Environ. Sci. Pollut. Res. Int., 27, 38745, 10.1007/s11356-020-09926-3 Ofek, 2020, Differential effect of knowledge on stakeholders' willingness to pay green building price premium: implications for cleaner production, J. Clean. Prod., 251, 10.1016/j.jclepro.2019.119575 Zou, 2017, The spatial distribution of green buildings in China: regional imbalance, economic fundamentals, and policy incentives, Appl. Geogr., 88, 38, 10.1016/j.apgeog.2017.08.022 Al Horr, 2017, Occupant productivity and indoor environment quality: a case of GSAS, Inter. J.Sust. Built Environ., 6, 476, 10.1016/j.ijsbe.2017.11.001 He, 2019, How to attract customers to buy green housing? Their heterogeneous willingness to pay for different attributes, J. Clean. Prod., 230, 709, 10.1016/j.jclepro.2019.05.160 Hui, 2021, Housing market segmentation and the price effect of certified green residential properties, Habitat Int., 111, 10.1016/j.habitatint.2021.102350 Sang, 2019, Influencing factors of consumers' willingness to purchase green housing: a survey from Shandong Province, China, Environ. Dev. Sustain., 22, 4267, 10.1007/s10668-019-00383-8 Huang, 2022, Exploring public attention about green consumption on Sina Weibo: using text mining and deep learning, Sustain. Prod. Consum., 30, 674, 10.1016/j.spc.2021.12.017 Chen, 2022, Critical success factors for green building promotion: a systematic review and meta-analysis, Build. Environ., 207, 10.1016/j.buildenv.2021.108452 Zhao, 2019, Framework for Benchmarking green building movement: a case of Brazil, Sustain. Cities Soc., 48, 10.1016/j.scs.2019.101545 Liu, 2019, Attention and sentiment of Chinese public toward green buildings based on Sina Weibo, Sustain. Cities Soc., 44, 550, 10.1016/j.scs.2018.10.047 Dana, 1971, The Apocalyptic Vision of Paolo Soleri. Technology and Culture, 12, 75 Ade, 2020, The unwritten history of green building rating tools: a personal view from some of the ‘founding fathers, Build. Res. Inf., 48, 1, 10.1080/09613218.2019.1627179 Golbazi, 2020, Willingness to pay for green buildings: a survey on students’ perception in higher education, Energy Build., 216, 10.1016/j.enbuild.2020.109956 Wu, 2019, What hinders the development of green building? An investigation of China, Int. J. Environ. Res. Publ. Health, 16, 3140, 10.3390/ijerph16173140 Hwang, 2017, Factors affecting productivity in green building construction projects: the case of Singapore, J. Manag. Eng., 33, 10.1061/(ASCE)ME.1943-5479.0000499 Yao, 2022, Research on decision-making behavior of stakeholders of low-carbon housing from the perspective of evolutionary game, Energy Rep., 8, 112, 10.1016/j.egyr.2022.05.064 Thadani, 2021, Integration of solar energy into low-cost housing for sustainable development: case study in developing countries, Heliyon, 7, 10.1016/j.heliyon.2021.e08513 Adabre, 2022, To build or not to build, that is the uncertainty: fuzzy synthetic evaluation of risks for sustainable housing in developing economies, Cities, 125, 10.1016/j.cities.2022.103644 Shi, 2015, What leads to low-carbon buildings? A China study, Renew. Sustain. Energy Rev., 50, 726, 10.1016/j.rser.2015.05.037 Cherry, 2015, Media discourses of low carbon housing: the marginalisation of social and behavioural dimensions within the British broadsheet press, Publ. Understand. Sci., 24, 302, 10.1177/0963662513512442 Vyas, 2018, What does it cost to convert a non-rated building into a green building?, Sustain. Cities Soc., 36, 107, 10.1016/j.scs.2017.09.023 Friedman, 2022, Policy entrepreneurs in green building transitions: the role of interurban coalitions, Environ. Innov. Soc. Transit., 43, 160, 10.1016/j.eist.2022.03.009 Rajaee, 2019, Proposing a socio-psychological model for adopting green building technologies: a case study from Iran, Sustain. Cities Soc., 45, 657, 10.1016/j.scs.2018.12.007 Mustaffa, 2021, Top-down bottom-up strategic green building development framework: case studies in Malaysia, Build. Environ., 203, 10.1016/j.buildenv.2021.108052 Halder, 2020, How national culture and ethics matter in consumers' green consumption values, J. Clean. Prod., 265, 10.1016/j.jclepro.2020.121754 Jiang, 2016, Assessment of online public opinions on large infrastructure projects: a case study of the Three Gorges Project in China, Environ. Impact Assess. Rev., 61, 38, 10.1016/j.eiar.2016.06.004 Sayce, 2013, Beyond traditional stakeholder engagement: public participation roles in California's statewide marine protected area planning process, Ocean Coast Manag., 74, 57, 10.1016/j.ocecoaman.2012.06.012 Chang, 2022, Influence mechanisms of the National Pollution Source Census on public participation and environmental consciousness in China, J. Clean. Prod., 363, 10.1016/j.jclepro.2022.132397 Al-Sharari, 2022, Assessing the public participation initiatives in the planning and delivery of the Amman Bus Rapid Transit project, Case Studies on Transport Policy, 10, 1314, 10.1016/j.cstp.2022.04.018 Brown, 2014, Measuring change in place values for environmental and natural resource planning using public participation GIS (PPGIS): results and challenges for longitudinal research, Soc. Nat. Resour., 27, 36, 10.1080/08941920.2013.840023 Jang, 2022, Considerations for encouraging citizen participation by information-disadvantaged groups in smart cities, Sustain. Cities Soc., 76, 10.1016/j.scs.2021.103437 Poplin, 2012, Playful public participation in urban planning: a case study for online serious games, Comput. Environ. Urban Syst., 36, 195, 10.1016/j.compenvurbsys.2011.10.003 Kuang, 2021, Public participation and city sustainability: evidence from urban garbage classification in China, Sustain. Cities Soc., 67, 10.1016/j.scs.2021.102741 Devereux, 2020, Consumer engagement on social media: evidence from small retailers, J. Consum. Behav., 19, 151, 10.1002/cb.1800 Kushwaha, 2022, Capricious opinions: a study of polarization of social media groups, Govern. Inf. Q., 39 Fergen, 2021, ‘Doomscrolling’ in my backyard: corrosive online communities and contested wind development in rural Ohio, Energy Res. Social Sci., 80, 10.1016/j.erss.2021.102224 Corbett, 2022, From tweets to insights: a social media analysis of the emotion discourse of sustainable energy in the United States, Energy Res. Social Sci., 89, 10.1016/j.erss.2022.102515 Min, 2021, Grievances, resources, or values? Predicting online citizen-initiated government contacts in China, Telematics Inf., 56 Krittanawong, 2021, Public perception of heart failure on twitter: a sentiment analysis, Prog. Cardiovasc. Dis., 68, 91, 10.1016/j.pcad.2021.09.008 Wang, 2019, Attitude of the Chinese public toward off-site construction: a text mining study, J. Clean. Prod., 238, 10.1016/j.jclepro.2019.117926 Yang, 2021, Green building technologies adoption process in China: how environmental policies are reshaping the decision-making among alliance-based construction enterprises?, Sustain. Cities Soc., 73, 10.1016/j.scs.2021.103122 Zalejska-Jonsson, 2014, Stated WTP and rational WTP: willingness to pay for green apartments in Sweden, Sustain. Cities Soc., 13, 46, 10.1016/j.scs.2014.04.007 Ayyub, 2021, Stance detection using diverse feature sets based on machine learning techniques, J. Intell. Fuzzy Syst., 40, 9721, 10.3233/JIFS-202269 Darko, 2017, Examining issues influencing green building technologies adoption: the United States green building experts' perspectives, Energy Build., 144, 320, 10.1016/j.enbuild.2017.03.060 Dou, 2021, Disaster damage assessment based on fine-grained topics in social media, Comput. Geosci., 156, 10.1016/j.cageo.2021.104893 Benchimol, 2022, Text mining methodologies with R: an application to central bank texts, Mach. Learn. Applic., 8 Nota, 2022, Text mining techniques for the management of predictive maintenance, Proc. Comput. Sci., 200, 778, 10.1016/j.procs.2022.01.276 Benchimol, 2021, Federal Reserve communication and the COVID-19 pandemic, Covid Economics, 79, 218 Benchimol, 2023 Liu, 2019, Attention and sentiment of Chinese public toward green buildings based on Sina Weibo, Sustain. Cities Soc., 44, 550, 10.1016/j.scs.2018.10.047 Tsantopoulos, 2018, Public perceptions and attitudes toward green infrastructure on buildings: the case of the metropolitan area of Athens, Greece, Urban For. Urban Green., 34, 181, 10.1016/j.ufug.2018.06.017 Tan, 2014, Interpreting the public sentiment variations on twitter, IEEE Trans. Knowl. Data Eng., 26, 1158, 10.1109/TKDE.2013.116 Hu, 2014, Using web crawler technology for geo-events analysis: a case study of the huangyan island incident, Sustainability, 6, 1896, 10.3390/su6041896 Yao, 2019, Understanding human reposting patterns on Sina Weibo from a global perspective, Phys. Stat. Mech. Appl., 518, 374, 10.1016/j.physa.2018.11.043 Li, 2018, Octopus: a data acquisition system for open source communities, 893 Copiello, 2015, Green housing: toward a new energy efficiency paradox?, Cities, 49, 76, 10.1016/j.cities.2015.07.006 Yuan, 2020, Unsupervised multi-granular Chinese word segmentation and term discovery via graph partition, J. Biomed. Inf., 110, 10.1016/j.jbi.2020.103542 Ekman, 1994 Egger, 2022, A topic modeling comparison between LDA, NMF, Top2Vec, and BERTopic to demystify twitter posts, Front Sociol, 7, 10.3389/fsoc.2022.886498 Albanese, 2022 Maier, 2018, Applying LDA topic modeling in communication research: toward a valid and reliable methodology, Commun. Methods Meas., 12, 93, 10.1080/19312458.2018.1430754 Sievert, 2014 Hasan, 2021, Normalized approach to find optimal number of topics in Latent Dirichlet Allocation (LDA), 341 Gao, 2020, Spatial-temporal evolution and driving factors of green building development in China, Sustainability, 12, 2773, 10.3390/su12072773 Hagen, 2018, Content analysis of e-petitions with topic modeling: how to train and evaluate LDA models?, Inf. Process. Manag., 54, 1292, 10.1016/j.ipm.2018.05.006 Kalyana, 2022, Barriers and project management practices in green buildings, Mater. Today: Proc., 52, 1131 Venkataraman, 2018, Critical success and failure factors for managing green building projects, J. Architect. Eng., 24, 10.1061/(ASCE)AE.1943-5568.0000327 Wong, 2016, Do vegetated rooftops attract more mosquitoes? Monitoring disease vector abundance on urban green roofs, Sci. Total Environ., 573, 222, 10.1016/j.scitotenv.2016.08.102 Zhang, 2017, Comparison of evaluation standards for green building in China, Britain, United States, Renew. Sustain. Energy Rev., 68, 262, 10.1016/j.rser.2016.09.139 Chen, 2022, Spatial-temporal investigation of green building promotion efficiency: the case of China, J. Clean. Prod., 362, 10.1016/j.jclepro.2022.132299 Amstalden, 2007, Economic potential of energy-efficient retrofitting in the Swiss residential building sector: the effects of policy instruments and energy price expectations, Energy Pol., 35, 1819, 10.1016/j.enpol.2006.05.018