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