請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83827完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張伯茹(Po-Ju Chang) | |
| dc.contributor.author | Jyun-Yi Lee | en |
| dc.contributor.author | 李雋奕 | zh_TW |
| dc.date.accessioned | 2023-03-19T21:19:36Z | - |
| dc.date.copyright | 2022-08-02 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-07-28 | |
| dc.identifier.citation | 王紀鯤(1993)。台灣未來都市建築發展趨勢之研究。 中華民國行政院環境保護署(2021)。2022 年 6月 19 日,取自:https://www.epa.gov.tw/ 。 中華民國內政部建築研究所(2015)。屋頂綠化技術手冊。 朱芳妮與張金鶚(2014)。台北與香港集合住宅管理維護績效之比較分析。都市與計劃, 41(2),199-227。 朱政德(2011)。都市型集合住?之住戶平面計畫的供給特性: 以台?市集合住???。建築學報(77), 19-43。 朱政德(2012)。從區域性探討台?市民間集合住?之住戶平面計畫的供給特性。建築學報(81),1-24。 行政院經濟建設委員會(2012)。國家氣候變遷調適政策綱領。 李茂能(2006)。結構方程模式軟體 Amos之簡介及其在測驗編製上之應用: An introduction to Amos and its uses in scale development: Graphics and Basic (Vol. 32): 心理。 林炯明(2010)。都市熱島效應之影響及其環境意涵。環境與生態學報, 3,1-15。 林晏州與林寶秀(2007)。遊客與居民對太魯閣國家公園資源保育願付費用之影響因素分析與比較。觀光研究學報, 13(4), 309-326。 洪子茵與張金鶚(2002)。台北市集合住宅管理維護模式之研究。 Journal of City and Planning, 29(3),421-444。 孫金華,江福松,施淵源與劉振鄉(2003)。臺灣東北角磯釣釣者願付價值之分析。農業經濟半年刊(74), 63-88。 高英欽(1997)。中高層集合住宅日常管理費構成之研究-以南部地區為例。成功大學建築研究所, 碩士論文。 高雄市政府工務局建管處(2016)。2022年7月1日。取自:https://build.kcg.gov.tw/greenroof/?fbclid=IwAR0izzQr2gMmu3HOGbkWTA-1GGJ3ahveeUM1iUQRfi_Kf0h2qsOV61Rm0bw。 國家發展委員會(2014)。高齡社會下公共服務趨勢與展望。 張怡萱,林喻東,鄧書麟與劉癸君(2011)。新環境典範態度與負責任環境行為關係之探討—以嘉義樹木園的遊客為例。林業研究季刊,33(2),13-27。 張楊乾(2010)八八風災與暖化意識??語音辨識電話民調發布〉。環境資訊中心,2022 年 6月 19 日,取自:http://e-info.org.tw/node/57924。 章錦瑜,鄒君瑋與林思媛(2016)。植生牆視覺景觀偏好之研究。造園景觀學報, 21(2),25-51。 陳美惠與莊政諺(2017)。遊客對於生態旅遊之願付價格與環境態度之探討—以墾丁社頂部落為例。林業研究季刊,39(1),25-42。 陳香妃,張金鶚與葉毅明(2007)。從集體行動看社區意識與管理制度對公寓大廈管理維護之影響—管理維護客觀績效與社區主委主觀滿意度分析。都市與計劃,34(2),139-163。 陳逸萍,楊文慧與何明錦(2020)。垂直綠化型態偏好之探討。 ?梓航,敬一鳴,喻豐,古若雷,周欣悅,張建新與蔡華儉(2018)。個人主義上升,集體主義式微?——全球文化變遷與民眾心理變化。心理科學進展, 26(11), 2068。 游森期與余民寧(2006)。網路問卷與傳統問卷之比較:多樣本均等性方法學之應用。測驗學刊,53(1),103-127。 黃芳銘與溫福星(2007)。模式化學習型學校:多層次驗證性因素分析取向。測驗學刊,54(1),197-222。 楊宏仁,楊雪華與汪正中(2013)。區域抽樣在調查研究上的應用。調查研究-方法與應用(29),105-121。 臺北市政府主計處(2020)。臺北市家庭收支訪問調查報告。 蔡雅琄與許耿銘(2020)。氣候治理中風險意識與防災調適行為之探析。 蕭代基,鄭蕙燕,吳珮瑛,錢玉蘭與溫麗琪(2002) 。環境保護之成本效益分析: 理論。方法與應用,台北:俊傑書局。 Addo-Bankas, O., Zhao, Y., Vymazal, J., Yuan, Y., Fu, J., and Wei, T. (2021). Green walls: A form of constructed wetland in green buildings. Ecological Engineering, 169, 106321. Ahern, J., Cilliers, S., and Niemel?, J. (2013). The concept of ecosystem services in adaptive urban planning and design: Encouraging transdisciplinarity. Landscape and urban planning. Aithal, B. H., Bhat, S. P., and Mahapatra, D. M. (2015). ENVIS Technical Report 93. Energy. Ajzen, I., and Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of experimental social psychology, 22(5), 453-474. Akbari, H., Pomerantz, M., and Taha, H. (2001). Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas. Solar energy, 70(3), 295-310. Almas, A. S., Rahim, C., Butt, M., and Shah, T. I. (2005). Metropolitan growth monitoring and land use classification using geospatial techniques. Paper presented at the Proceedings of International Workshop on Service and Application of Spatial Data Infrastructure, Hangzhou, China. Alsaad, H., Hartmann, M., Hilbel, R., and Voelker, C. (2022). The potential of facade greening in mitigating the effects of heatwaves in Central European cities. Building and environment, 216, 109021. Aram, F., Garc?a, E. H., Solgi, E., and Mansournia, S. (2019). Urban green space cooling effect in cities. Heliyon, 5(4), e01339. Arnfield, A. J. (2003). Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology: a Journal of the Royal Meteorological Society, 23(1), 1-26. Azadi, Y., Yazdanpanah, M., and Mahmoudi, H. (2019). Understanding smallholder farmers’ adaptation behaviors through climate change beliefs, risk perception, trust, and psychological distance: Evidence from wheat growers in Iran. Journal of environmental management, 250, 109456. Banfi, S., Farsi, M., Filippini, M., and Jakob, M. (2008). Willingness to pay for energy-saving measures in residential buildings. Energy economics, 30(2), 503-516. Batley, S. L., Colbourne, D., Fleming, P., and Urwin, P. (2001). Citizen versus consumer: challenges in the UK green power market. Energy policy, 29(6), 479-487. Bauer, R. A. (1960). Consumer behavior as risk taking. Paper presented at the Proceedings of the 43rd National Conference of the American Marketing Assocation, June 15, 16, 17, Chicago, Illinois, 1960. Bentler, P. M., and Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin, 88(3), 588. Boehme, P., Berger, M., and Massier, T. (2015). Estimating the building based energy consumption as an anthropogenic contribution to urban heat islands. Sustainable Cities and Society, 19, 373-384. Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological methods and research, 17(3), 303-316. Borrelli, P., Robinson, D. A., Fleischer, L. R., Lugato, E., Ballabio, C., Alewell, C., . . . Ferro, V. (2017). An assessment of the global impact of 21st century land use change on soil erosion. Nature communications, 8(1), 1-13. Breivik, E., and Olsson, U. H. (2001). Adding variables to improve fit: The effect of model size on fit assessment in LISREL. Structural equation modeling: Present and future, 169-194. Bubeck, P., Botzen, W. J. W., and Aerts, J. C. (2012). A review of risk perceptions and other factors that influence flood mitigation behavior. Risk Analysis: An International Journal, 32(9), 1481-1495. Cai, Y., Chen, Y., and Tong, C. (2019). Spatiotemporal evolution of urban green space and its impact on the urban thermal environment based on remote sensing data: A case study of Fuzhou City, China. Urban Forestry and Urban Greening, 41, 333-343. Cai, Z., Tang, Y., and Zhan, Q. (2021). A cooled city? Comparing human activity changes on the impact of urban thermal environment before and after city-wide lockdown. Building and environment, 195, 107729. Carlton, S. J., and Jacobson, S. K. (2013). Climate change and coastal environmental risk perceptions in Florida. Journal of environmental management, 130, 32-39. Chakravarty, D., and Mandal, S. K. (2020). Is economic growth a cause or cure for environmental degradation? Empirical evidences from selected developing economies. Environmental and Sustainability Indicators, 7, 100045. Chan, C. S. (2017). 制定指標, 向可持續的香港城市公園管理進發. Chan, R. Y., and Lau, L. B. (2002). Explaining green purchasing behavior: A cross-cultural study on American and Chinese consumers. Journal of international consumer marketing, 14(2-3), 9-40. Cho, S. H., and Lee, T. K. (2011). A study on building sustainable communities in high-rise and high-density apartments–Focused on living program. Building and environment, 46(7), 1428-1435. Clayton, S. (2003). Environmental identity: A conceptual and an operational definition. Identity and the natural environment: The psychological significance of nature, 45-65. Cohen, Y., and Haberfeld, Y. (1991). Why do married men earn more than unmarried men? Social Science Research, 20(1), 29-44. Cotillon, S. E., and Tappan, G. G. (2016). Landscapes of West Africa: A window on a changing world. Crimmins, A., Balbus, J., Gamble, J., Beard, C., Bell, J., Dodgen, D., . . . Herring, S. (2017). US Global Change Research Program. The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334. Currie, B. A., and Bass, B. (2008). Estimates of air pollution mitigation with green plants and green roofs using the UFORE model. Urban ecosystems, 11(4), 409-422. Desa, U. (2017). United nations department of economic and social affairs/population division (2009b): World population prospects: The 2008 revision. URL: http://esa. un. org/unpp (gelesen am 16, 2010. accessed: may 19. Dienes, C. (2015). Actions and intentions to pay for climate change mitigation: Environmental concern and the role of economic factors. Ecological economics, 109, 122-129. Dietz, T. (2020). Earth day: 50 years of continuity and change in environmentalism. One Earth, 2(4), 306-308. Douglas, A. N., Morgan, A. L., Rogers, E. I., Irga, P. J., and Torpy, F. R. (2021). Evaluating and comparing the green wall retrofit suitability across major Australian cities. Journal of environmental management, 298, 113417. Douglas, J., and Simula, M. (2010). The future of the world's forests: Ideas vs ideologies (Vol. 7): Springer Science and Business Media. Douglas, O., Lennon, M., and Scott, M. (2017). Green space benefits for health and well-being: A life-course approach for urban planning, design and management. Cities, 66, 53-62. Dreezens, E., Martijn, C., Tenb?lt, P., Kok, G., and De Vries, N. K. (2005). Food and values: an examination of values underlying attitudes toward genetically modified-and organically grown food products. Appetite, 44(1), 115-122. Dunlap, R., Liere, K. V., Mertig, A., and Jones, R. E. (2000). Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of social issues, 56(3), 425-442. Dunlap, R. E., Van Liere, K. D., Mertig, A. G., and Jones, R. E. (2000). New trends in measuring environmental attitudes: measuring endorsement of the new ecological paradigm: a revised NEP scale. Journal of social issues, 56(3), 425-442. Eagly, A. H., and Chaiken, S. (1993). The psychology of attitudes: Harcourt brace Jovanovich college publishers. Egan, P. J., and Mullin, M. (2017). Climate change: US public opinion. Annual Review of Political Science, 20, 209-227. Estoque, R. C., Murayama, Y., and Myint, S. W. (2017). Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349-359. Fleck, R., Gill, R., Saadeh, S., Pettit, T., Wooster, E., Torpy, F., and Irga, P. (2022). Urban green roofs to manage rooftop microclimates: A case study from Sydney, Australia. Building and environment, 209, 108673. Fornell, C., and Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics: Sage Publications Sage CA: Los Angeles, CA. G?mez-Baggethun, E., and Barton, D. N. (2013). Classifying and valuing ecosystem services for urban planning. Ecological economics, 86, 235-245. Gifford, R., Kormos, C., and McIntyre, A. (2011). Behavioral dimensions of climate change: drivers, responses, barriers, and interventions. Wiley Interdisciplinary Reviews: Climate Change, 2(6), 801-827. Gounaridis, D., Newell, J. P., and Goodspeed, R. (2020). The impact of urban sprawl on forest landscapes in Southeast Michigan, 1985–2015. Landscape Ecology, 35(9), 1975-1993. Gustavsson, L., Nguyen, T., Sathre, R., and Tettey, U. Y. A. (2021). Climate effects of forestry and substitution of concrete buildings and fossil energy. Renewable and Sustainable Energy Reviews, 136, 110435. Gwenzi, W., Veneklaas, E. J., Bleby, T. M., Yunusa, I. A., and Hinz, C. (2012). Transpiration and plant water relations of evergreen woody vegetation on a recently constructed artificial ecosystem under seasonally dry conditions in Western Australia. Hydrological Processes, 26(21), 3281-3292. Haaland, C., and van Den Bosch, C. K. (2015). Challenges and strategies for urban green-space planning in cities undergoing densification: A review. Urban Forestry and Urban Greening, 14(4), 760-771. Hami, A., Abdi, B., Zarehaghi, D., and Maulan, S. B. (2019). Assessing the thermal comfort effects of green spaces: A systematic review of methods, parameters, and plants’ attributes. Sustainable Cities and Society, 49, 101634. Hammitt, W. E., Kyle, G. T., and Oh, C.-O. (2009). Comparison of place bonding models in recreation resource management. Journal of Leisure Research, 41(1), 57-72. Hanberry, B. B. (2022). Global population densities, climate change, and the maximum monthly temperature threshold as a potential tipping point for high urban densities. Ecological Indicators, 135, 108512. Hawcroft, L. J., and Milfont, T. L. (2010). The use (and abuse) of the new environmental paradigm scale over the last 30 years: A meta-analysis. Journal of Environmental Psychology, 30(2), 143-158. Helm, P. (1996). Integrated risk management for natural and technological disasters. Tephra, 15(1), 4-13. Hoffimann, E., Barros, H., and Ribeiro, A. I. (2017). Socioeconomic inequalities in green space quality and accessibility—Evidence from a Southern European city. International journal of environmental research and public health, 14(8), 916. Hu, L. t., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. Huang, S.-L., and Hsu, W.-L. (2003). Materials flow analysis and emergy evaluation of Taipei’s urban construction. Landscape and urban planning, 63(2), 61-74. Hungerford, H. R., and Peyton, R. B. (1976). Teaching environmental education: J. Weston Walch. Hunter, M. (2011). Using ecological theory to guide urban planting design an adaptation strategy for climate change. Landscape Journal, 30(2), 173-193. Hwang, Y.-H., Kim, S.-I., and Jeng, J.-M. (2000). Examining the causal relationships among selected antecedents of responsible environmental behavior. The journal of environmental education, 31(4), 19-25. Jaku?ionyt?-Skodien?, M., and Liobikien?, G. (2021). Climate change concern, personal responsibility and actions related to climate change mitigation in EU countries: Cross-cultural analysis. Journal of Cleaner Production, 281, 125189. Johnson, D. L., Ambrose, S. H., Bassett, T. J., Bowen, M. L., Crummey, D. E., Isaacson, J. S., . . . Winter?Nelson, A. E. (1997). Meanings of environmental terms. Journal of environmental quality, 26(3), 581-589. Jones, D. C. (1985). Persuasive appeals and responses to appeals among friends and acquaintances. Child Development, 757-763. K?ppler, M.-R., and Hitchmough, J. D. (2015). Ecology good, aut-ecology better; improving the sustainability of designed plantings. Journal of Landscape Architecture, 10(2), 82-91. Kahan, D. M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L. L., Braman, D., and Mandel, G. (2012). The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature climate change, 2(10), 732-735. Kaiser, F. G., and Wilson, M. (2019). The Campbell paradigm as a behavior-predictive reinterpretation of the classical tripartite model of attitudes. European Psychologist. Kaiser, H. F. (1974). An index of factorial simplicity. psychometrika, 39(1), 31-36. Kasser, T. (2017). Living both well and sustainably: a review of the literature, with some reflections on future research, interventions and policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2095), 20160369. Khoshbakht, M., Gou, Z., Lu, Y., Xie, X., and Zhang, J. (2018). Are green buildings more satisfactory? A review of global evidence. Habitat International, 74, 57-65. Kiesler, S., and Sproull, L. S. (1986). Response effects in the electronic survey. Public Opinion Quarterly, 50(3), 402-413. Kollmuss, A., and Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental education research, 8(3), 239-260. Kovats, S., Hales, S., Campbell-Lendrum, D., Rocklov, J., Honda, Y., and Lloyd, S. (2015). Global risk assessment of the effect of climate change on selected causes of death in 2030s and 2050s. Paper presented at the ISEE Conference Abstracts. Krishnan, R., Sanjay, J., Gnanaseelan, C., Mujumdar, M., Kulkarni, A., and Chakraborty, S. (2020). Assessment of climate change over the Indian region: a report of the ministry of earth sciences (MOES), government of India: Springer Nature. Kummu, M., Guillaume, J. H., de Moel, H., Eisner, S., Fl?rke, M., Porkka, M., . . . Ward, P. (2016). The world’s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability. Scientific reports, 6(1), 1-16. Lacroix, K., and Gifford, R. (2018). Psychological barriers to energy conservation behavior: The role of worldviews and climate change risk perception. Environment and Behavior, 50(7), 749-780. Lee, C.-K., and Han, S.-Y. (2002). Estimating the use and preservation values of national parks’ tourism resources using a contingent valuation method. Tourism management, 23(5), 531-540. Lee, X., Goulden, M. L., Hollinger, D. Y., Barr, A., Black, T. A., Bohrer, G., . . . Gu, L. (2011). Observed increase in local cooling effect of deforestation at higher latitudes. Nature, 479(7373), 384-387. Leiserowitz, A. (2006). Climate change risk perception and policy preferences: The role of affect, imagery, and values. Climatic change, 77(1), 45-72. Lewicka, M. (2010). What makes neighborhood different from home and city? Effects of place scale on place attachment. Journal of Environmental Psychology, 30(1), 35-51. Li, T., Horton, R. M., and Kinney, P. L. (2013). Projections of seasonal patterns in temperature-related deaths for Manhattan, New York. Nature climate change, 3(8), 717-721. Lindell, M. K., and Perry, R. W. (2012). The protective action decision model: theoretical modifications and additional evidence. Risk Analysis: An International Journal, 32(4), 616-632. Ling, T.-Y., and Chiang, Y.-C. (2018). Well-being, health and urban coherence-advancing vertical greening approach toward resilience: A design practice consideration. Journal of Cleaner Production, 182, 187-197. Liu, Z., Hanley, N., and Campbell, D. (2020). Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing. Journal of Environmental Economics and Management, 104, 102383. Luan, W., and Li, X. (2021). Rapid urbanization and its driving mechanism in the Pan-Third Pole region. Science of the Total Environment, 750, 141270. Luber, G., and McGeehin, M. (2008). Climate change and extreme heat events. American journal of preventive medicine, 35(5), 429-435. Manso, M., Teot?nio, I., Silva, C. M., and Cruz, C. O. (2021). Green roof and green wall benefits and costs: A review of the quantitative evidence. Renewable and Sustainable Energy Reviews, 135, 110111. Markus, H. R. (2016). What moves people to action? Culture and motivation. Current Opinion in Psychology, 8, 161-166. Masoudi, M., Tan, P. Y., and Liew, S. C. (2019). Multi-city comparison of the relationships between spatial pattern and cooling effect of urban green spaces in four major Asian cities. Ecological Indicators, 98, 200-213. Mathieson, A., and Wall, G. (1982). Tourism, economic, physical and social impacts: Longman. McDonald, R. P., and Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological methods, 7(1), 64. McHugh, M. L. (2013). The chi-square test of independence. Biochemia medica, 23(2), 143-149. Meerow, S. (2019). A green infrastructure spatial planning model for evaluating ecosystem service tradeoffs and synergies across three coastal megacities. Environmental Research Letters, 14(12), 125011. Meng, Q., Zhang, L., Sun, Z., Meng, F., Wang, L., and Sun, Y. (2018). Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China. Remote Sensing of Environment, 204, 826-837. Menny, C., Osberghaus, D., Pohl, M., and Werner, U. (2011). General knowledge about climate change, factors influencing risk perception and willingness to insure. ZEW-Centre for European Economic Research Discussion Paper(11-060). Menzel, S., and B?geholz, S. (2008). Was f?rdert eine Bereitschaft von Oberstufensch?ler (inne) n, die Biodiversit?t zu sch?tzen? Eine standardisierte Befragung in Anlehnung an die Value-Belief-Norm-Theorie. Umweltpsychologie, 12(2), 105-122. Michael, C., Charles, H., James, R., Stefan, S., and Graham, V. M. (2018). World atlas of desertification. Milfont, T. L., and Duckitt, J. (2004). The structure of environmental attitudes: A first-and second-order confirmatory factor analysis. Journal of Environmental Psychology, 24(3), 289-303. Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., and Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological bulletin, 105(3), 430. Muldoon, A. (2006). Where the green is: Examining the paradox of environmentally conscious consumption. Electronic Green Journal, 1(23). Nations, U. (2019). World Urbanization Prospects: the 2018 Revision. United Nations Department of Economic and Social Affairs. Population Division, New York. Ng, E., Chen, L., Wang, Y., and Yuan, C. (2012). A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Building and environment, 47, 256-271. Nunnally, J. C., and Bernstein, I. (1978). Psychometric Theory McGraw-Hill New York. The role of university in the development of entrepreneurial vocations: a Spanish study, 387-405. O'Connor, R. E., Bard, R. J., and Fisher, A. (1999). Risk perceptions, general environmental beliefs, and willingness to address climate change. Risk analysis, 19(3), 461-471. O’Malley, C., Piroozfar, P., Farr, E. R., and Pomponi, F. (2015). Urban Heat Island (UHI) mitigating strategies: A case-based comparative analysis. Sustainable Cities and Society, 19, 222-235. Oke, T. R. (1976). The distinction between canopy and boundary?layer urban heat islands. Atmosphere, 14(4), 268-277. Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1-24. Oliveira, S., Andrade, H., and Vaz, T. (2011). The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study in Lisbon. Building and environment, 46(11), 2186-2194. Oquendo-Di Cosola, V., Olivieri, F., and Ruiz-Garc?a, L. (2022). A systematic review of the impact of green walls on urban comfort: temperature reduction and noise attenuation. Renewable and Sustainable Energy Reviews, 162, 112463. Pahl, S., Harris, P. R., Todd, H. A., and Rutter, D. R. (2005). Comparative optimism for environmental risks. Journal of Environmental Psychology, 25(1), 1-11. Peacock, W. G., Brody, S. D., and Highfield, W. (2005). Hurricane risk perceptions among Florida's single family homeowners. Landscape and urban planning, 73(2-3), 120-135. Polonsky, M. J., and Rosenberger III, P. J. (2001). Reevaluating green marketing: a strategic approach. Business horizons, 44(5), 21-30. Raji, B., Tenpierik, M. J., and Van Den Dobbelsteen, A. (2015). The impact of greening systems on building energy performance: A literature review. Renewable and Sustainable Energy Reviews, 45, 610-623. Rana, I. A., Jamshed, A., Younas, Z. I., and Bhatti, S. S. (2020). Characterizing flood risk perception in urban communities of Pakistan. International journal of disaster risk reduction, 46, 101624. Rana, I. A., and Routray, J. K. (2016). Actual vis-?-vis perceived risk of flood prone urban communities in Pakistan. International journal of disaster risk reduction, 19, 366-378. Riley, B. (2017). The state of the art of living walls: Lessons learned. Building and environment, 114, 219-232. Rizwan, A. M., Dennis, L. Y., and Chunho, L. (2008). A review on the generation, determination and mitigation of Urban Heat Island. Journal of environmental sciences, 20(1), 120-128. Rokeach, M. (1973). The nature of human values: Free press. Rosenzweig, C., Solecki, W., Hammer, S. A., and Mehrotra, S. (2010). Cities lead the way in climate–change action. Nature, 467(7318), 909-911. Rosso, F., Pisello, A., Castaldo, V., Fabiani, C., Cotana, F., Ferrero, M., and Jin, W. (2017). New cool concrete for building envelopes and urban paving: Optics-energy and thermal assessment in dynamic conditions. Energy and Buildings, 151, 381-392. Sanderson, M., Arbuthnott, K., Kovats, S., Hajat, S., and Falloon, P. (2017). The use of climate information to estimate future mortality from high ambient temperature: a systematic literature review. PloS one, 12(7), e0180369. Santamouris, M. (2020). Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change. Energy and Buildings, 207, 109482. Sauer, U., and Fischer, A. (2010). Willingness to pay, attitudes and fundamental values—On the cognitive context of public preferences for diversity in agricultural landscapes. Ecological economics, 70(1), 1-9. Schewe, J., Heinke, J., Gerten, D., Haddeland, I., Arnell, N. W., Clark, D. B., . . . Col?n-Gonz?lez, F. J. (2014). Multimodel assessment of water scarcity under climate change. Proceedings of the National Academy of Sciences, 111(9), 3245-3250. Schumacker, R. E., and Lomax, R. G. (2004). A beginner's guide to structural equation modeling: psychology press. Shamoon, A., Haleem, A., Bahl, S., Javaid, M., and Garg, S. B. (2022). Role of energy technologies in response to climate change. Materials Today: Proceedings. Shao, Q., Sun, C., Liu, J., He, J., Kuang, W., and Tao, F. (2011). Impact of urban expansion on meteorological observation data and overestimation to regional air temperature in China. Journal of Geographical Sciences, 21(6), 994-1006. Sheng, L., Tang, X., You, H., Gu, Q., and Hu, H. (2017). Comparison of the urban heat island intensity quantified by using air temperature and Landsat land surface temperature in Hangzhou, China. Ecological Indicators, 72, 738-746. Shrigley, R. L. (1983). The Attitude Concept and Science Teaching. Science education, 67(4), 425-442. Slimak, M. W., and Dietz, T. (2006). Personal values, beliefs, and ecological risk perception. Risk analysis, 26(6), 1689-1705. Slovic, P. (2016). Understanding perceived risk: 1978–2015. Environment: Science and Policy for Sustainable Development, 58(1), 25-29. S?umel, I., Weber, F., and Kowarik, I. (2016). Toward livable and healthy urban streets: Roadside vegetation provides ecosystem services where people live and move. Environmental Science and Policy, 62, 24-33. Soydan, O. (2020). Effects of landscape composition and patterns on land surface temperature: Urban heat island case study for Nigde, Turkey. Urban Climate, 34, 100688. Spinoni, J., Barbosa, P., Cherlet, M., Forzieri, G., McCormick, N., Naumann, G., . . . Dosio, A. (2021). How will the progressive global increase of arid areas affect population and land-use in the 21st century? Global and Planetary Change, 205, 103597. Stern, P. C., Kalof, L., Dietz, T., and Guagnano, G. A. (1995). Values, beliefs, and proenvironmental action: Attitude formation toward emergent attitude objects 1. Journal of applied social psychology, 25(18), 1611-1636. Stessens, P., Canters, F., and Khan, A. Z. (2021). Exploring Options for Public Green Space Development: Research by Design and GIS-Based Scenario Modelling. Sustainability, 13(15), 8213. Stewart, I. D., and Oke, T. R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 93(12), 1879-1900. Stoutenborough, J. W., and Vedlitz, A. (2014). The effect of perceived and assessed knowledge of climate change on public policy concerns: An empirical comparison. Environmental Science and Policy, 37, 23-33. Sullivan-Wiley, K. A., and Gianotti, A. G. S. (2017). Risk perception in a multi-hazard environment. World Development, 97, 138-152. Sun, R., L?, Y., Yang, X., and Chen, L. (2019). Understanding the variability of urban heat islands from local background climate and urbanization. Journal of Cleaner Production, 208, 743-752. Teot?nio, I., Silva, C. M., and Cruz, C. O. (2021). Economics of green roofs and green walls: A literature review. Sustainable Cities and Society, 69, 102781. Thieken, A. H., Kreibich, H., M?ller, M., and Merz, B. (2007). Coping with floods: preparedness, response and recovery of flood-affected residents in Germany in 2002. Hydrological Sciences Journal, 52(5), 1016-1037. Tianyu, J., and Meng, L. (2020). Does education increase pro-environmental willingness to pay? Evidence from Chinese household survey. Journal of Cleaner Production, 275, 122713. Trivedi, R. H., Patel, J. D., and Savalia, J. R. (2015). Pro-environmental behaviour, locus of control and willingness to pay for environmental friendly products. Marketing Intelligence and Planning. Vlek, C., and Steg, L. (2007). ? Human Behavior and Environmental Sustainability: Problems, Driving Forces, and Research Topics. Journal of social issues, 63(1), 1. Wang, L., Gu, D., Jiang, J., and Sun, Y. (2019). The not-so-dark side of materialism: can public versus private contexts make materialists less eco-unfriendly? Frontiers in Psychology, 10, 790. Wang, Y., Mauree, D., Sun, Q., Lin, H., Scartezzini, J., and Wennersten, R. (2020). A review of approaches to low-carbon transition of high-rise residential buildings in China. Renewable and Sustainable Energy Reviews, 131, 109990. Weigel, R. H., and Newman, L. S. (1976). Increasing attitude-behavior correspondence by broadening the scope of the behavioral measure. Journal of personality and social psychology, 33(6), 793. Wong, N. H., and Yu, C. (2005). Study of green areas and urban heat island in a tropical city. Habitat International, 29(3), 547-558. Wu, J., Zhou, Y., Gao, Y., Fu, J. S., Johnson, B. A., Huang, C., . . . Liu, Y. (2014). Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States. Environmental health perspectives, 122(1), 10-16. Yao, L., Li, T., Xu, M., and Xu, Y. (2020). How the landscape features of urban green space impact seasonal land surface temperatures at a city-block-scale: An urban heat island study in Beijing, China. Urban Forestry and Urban Greening, 52, 126704. Yapici, G., ?genler, O., Kurt, A. ?., Ko?a?, F., and ?a?maz, T. (2017). Assessment of environmental attitudes and risk perceptions among university students in Mersin, Turkey. Journal of environmental and public health, 2017. Z?lch, T., Maderspacher, J., Wamsler, C., and Pauleit, S. (2016). Using green infrastructure for urban climate-proofing: An evaluation of heat mitigation measures at the micro-scale. Urban Forestry and Urban Greening, 20, 305-316. Zaalberg, R., Midden, C., Meijnders, A., and McCalley, T. (2009). Prevention, adaptation, and threat denial: Flooding experiences in the Netherlands. Risk Analysis: An International Journal, 29(12), 1759-1778. Zhang, L., Fukuda, H., and Liu, Z. (2019). Households' willingness to pay for green roof for mitigating heat island effects in Beijing (China). Building and environment, 150, 13-20. Zhang, Y., and Altan, H. (2011). A comparison of the occupant comfort in a conventional high-rise office block and a contemporary environmentally-concerned building. Building and environment, 46(2), 535-545. Ziter, C. D., Pedersen, E. J., Kucharik, C. J., and Turner, M. G. (2019). Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer. Proceedings of the National Academy of Sciences, 116(15), 7575-7580. Zobeidi, T., Yaghoubi, J., and Yazdanpanah, M. (2022). Farmers’ incremental adaptation to water scarcity: An application of the model of private proactive adaptation to climate change (MPPACC). Agricultural Water Management, 264, 107528. Zobeidi, T., Yazdanpanah, M., and Bakhshi, A. (2020). Climate change risk perception among agriculture students: The role of knowledge, environmental attitude, and belief in happening. Journal of Agricultural Science and Technology, 22(1), 43-55. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83827 | - |
| dc.description.abstract | 氣候變遷的問題已是日益嚴重之議題,因為都市的發展快速,所以導致都市熱島效應之問題。而現今國際上為了緩解都市熱島,多數朝向建築綠化之趨勢發展。而實際之綠化行為,也考量到都市居民對於氣候變遷之風險感知,以及都市居民對於環境的態度,甚至是願意支付多少費用來進行對環境有益之行為。 依循背景,本研究針對氣候變遷這項議題,進行相關之文獻蒐集,探討都市居民此議題,氣候變遷之風險感知、環境態度、親環境行為、綠化願付價格;因此,本研究透過問卷蒐集,滾雪球取樣的方式,蒐集以李克特五點量表填答基本資料、三份量表,以及綠化之偏好與願付價格,有效問卷共1028份。 研究結果顯示,都市居民對於氣候變遷之風險感知會正向影響環境態度;環境態度會正向影響親環境行為;氣候變遷之風險感知會正向影響親環境行為;環境態度會正向影響綠化願付價格;親環境行為會正向影響綠化願付價格;環境態度在氣候變遷之風險感知與親環境行為之間存在中介效果;親環境行為在環境態度與綠化願付價格之間存在中介效果。並且,根據卡方檢定,分析不同人口統計變項與綠化願付價格之結果,僅生理性別與綠化願付價格不具差異性。另外,建築綠化偏好的結果為大部分集合住宅的都市居民較偏好居住房屋建築的屋頂施作庭園型綠化,但是自家陽臺較偏好盆缽型綠化,而對於居住房屋建築的牆面綠化以及陽臺的牆面綠化皆偏好活動式綠牆。 本研究期望未來可以藉由本研究結果,透過政府公權力,制訂有效的綠化政策,提供具吸引力之獎勵措施,緩解都市熱島,改善都市環境。 | zh_TW |
| dc.description.abstract | The problem of climate change has become an increasingly serious issue. Due to the rapid development of cities, it has led to the problem of the urban heat island effect. Nowadays, in order to alleviate the urban heat island, most of the countries are developing towards the trend of building greening. The actual greening behavior also takes into account the risk perception of urban residents towards climate change, as well as the attitude of urban residents towards the environment, and even how much they are willing to pay for behaviors that are beneficial to the environment. According to the background, this study aims to collect relevant literature on the issue of climate change, and explores the issue of urban residents, risk perception of climate change, environmental attitudes, pro-environmental behaviors, and willingness to pay for greening. Snowball sampling was used to collect basic information, three scales, and preference and willingness to pay for greening with a five-point Likert scale. A total of 1028 valid questionnaires were collected. The research results show that urban residents' risk perception of climate change will positively affect environmental attitudes; environmental attitudes will positively affect pro-environmental behaviors; climate change risk perceptions will positively affect pro-environmental behaviors; environmental attitudes will positively affect greening willingness. Pro-environmental behaviors positively affect the willingness to pay for greening; environmental attitudes have a mediating effect between climate change risk perception and pro-environmental behaviors; pro-environmental behaviors have a mediating effect between environmental attitudes and willingness to pay for greening. Moreover, according to the chi-square test, the results of different demographic variables and the willingness to pay for greening were analyzed, and only biological sex and the willingness to pay for greening were not different. In addition, the result of building greening preference is that most urban residents of collective housing prefer the roof of residential buildings to be garden-type greening, but their balconies prefer pot-type greening, while the wall greening and balcony greening of residential buildings are more preferred. Wall greening prefers living green wall. Based on the results of this study, it is expected that the government can formulate effective greening policies in the future, provide attractive incentive measures, alleviate the urban heat island and improve the urban environment. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T21:19:36Z (GMT). No. of bitstreams: 1 U0001-2707202221344700.pdf: 3086509 bytes, checksum: 16110fc75c044064c54442a1175bffec (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 第壹章、緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 研究範圍與限制 4 第四節 研究流程 5 第貳章、文獻回顧 6 第一節 氣候變遷與都市熱島 6 (一)氣候變遷 6 (二)都市熱島 8 第二節 氣候變遷之風險感知、環境態度、親環境行為 14 (一)氣候變遷之風險感知(Risk Perception of Climate Change) 14 (二)環境態度(Environmental Attitude) 15 (三)親環境行為(Pro-environmental Behavior) 16 (四)氣候變遷之風險感知與環境態度 18 (五)環境態度與親環境行為 18 (六)氣候變遷之風險感知與親環境行為 19 第三節 集合住宅之建築綠化類型與願付價格 20 (一)建築綠化系統(Building Greening System) 20 (二)願付價格(Willingness to Pay) 22 (三)集合住宅(Congregate Housing) 25 第參章、研究方法 27 第一節 研究架構與研究假設 27 (一)研究架構 27 (二)研究假設 28 第二節 研究問卷設計 29 (一)人口統計變項問卷 29 (二)氣候變遷之風險感知量表 31 (三)環境態度量表 32 (四)親環境行為量表 33 (五)綠化偏好及願付價格問卷 34 第三節 研究抽樣設計 39 (一)樣本抽樣採取的方式 39 (二)受測者背景限制的設定 39 (三)問卷發放形式的設定 39 第四節 資料分析方法 40 (一)敘述性分析 40 (二)信度分析 40 (三)相關性分析 40 (四)結構方程式 41 (五)卡方獨立性檢定 42 第五節 預測研究問卷信效度檢驗結果 44 (一)預測問卷信效度數值標準 44 (二)氣候變遷之風險感知量表 44 (三)環境態度量表 44 (四)親環境行為量表 45 第肆章、研究結果 46 第一節 人口統計變項詳述 46 (一)生理性別 46 (二)年齡 46 (三)居住時間 47 (四)居住之行政區 47 (五)居住家中具經濟能力人數比例 47 (六)婚姻狀態 47 (七)受教育程度 47 (八)家庭平均月收入 47 (九)居住房屋平均月管理費 48 (十)居住房屋管理委員會形式 48 (十一)居住房屋有無建築綠化 48 (十二)居住房屋建築綠化是否足夠 48 第二節 量表平均數分析 49 (一)都市居民對於氣候變遷之風險感知量表平均數分析 49 (二)都市居民對於環境態度量表平均數分析 50 (三)都市居民對於親環境行為量表平均數分析 51 第三節 量表信效度分析與因素分析 53 (一)量表信效度分析 53 (二)量表因素分析 54 第四節 氣候變遷之風險感知、環境態度、親環境行為及綠化願付價格相關分析 58 (一)氣候變遷之風險感知與環境態度之相關性 58 (二)環境態度與親環境行為之相關性 58 (三)氣候變遷之風險感知與親環境行為之相關性 59 (四)環境態度與綠化願付價格之相關性 60 (五)親環境行為與綠化願付價格之相關性 60 第五節 氣候變遷之風險感知、環境態度、親環境行為及綠化願付價格結構關係 62 (一)驗證性因素分析(Confirmatory Factor Analysis, CFA) 62 (二)模型配適度分析 63 (三)路徑分析 64 (四)中介效果 66 第六節 人口統計變項與綠化願付價格之關聯 69 (一)生理性別與綠化願付價格之關聯 69 (二)年齡與綠化願付價格之關聯 71 (三)居住時間與綠化願付價格之關聯 75 (四)居住之行政區與綠化願付價格之關聯 79 (五)居住家中具經濟能力人數比例與綠化願付價格之關聯 84 (六)婚姻狀態與綠化願付價格之關聯 89 (七)受教育程度與綠化願付價格之關聯 91 (八)家庭平均月收入與綠化願付價格之關聯 94 (九)居住房屋平均月管理費與綠化願付價格之關聯 98 (十)居住房屋管理委員會形式與綠化願付價格之關聯 102 (十一)居住房屋有無建築綠化與綠化願付價格之關聯 106 (十二)居住房屋建築綠化是否足夠與綠化願付價格之關聯 109 第七節 研究假設結果統整 113 第伍章、結論與建議 114 第一節 研究結果與討論 114 (一)人口統計變項之探討 114 (二)氣候變遷之風險感知、環境態度、親環境行為因素及綠化願付價格之探討 115 (三)都市居民面對氣候變遷之風險感知、環境態度、親環境行為及綠化願付價格之關係 117 (四) 氣候變遷之風險感知、環境態度、親環境行為及綠化願付價格之中介效果 119 (五)人口統計變項與綠化願付價格之關係 120 第二節 研究限制與建議 123 (一)調整研究問卷設計,增加可能更為準確的結果 123 (二)設定不同受測者背景分類,滿足不同情況 123 (三)質性問卷的加入,深入了解相關議題 123 第三節 研究貢獻 124 (一)學術層面 124 (二)應用層面 124 參考文獻 125 附錄一 問卷 145 | |
| dc.language.iso | zh-TW | |
| dc.subject | 陽臺綠化 | zh_TW |
| dc.subject | 盆缽型綠化 | zh_TW |
| dc.subject | 建築綠化 | zh_TW |
| dc.subject | 都市熱島 | zh_TW |
| dc.subject | 活動式綠牆 | zh_TW |
| dc.subject | 庭園型綠化 | zh_TW |
| dc.subject | Urban Heat Island | en |
| dc.subject | Living Green Wall | en |
| dc.subject | Pot-type Greening | en |
| dc.subject | Garden-type Greening | en |
| dc.subject | Balcony Greening | en |
| dc.subject | Building Greening | en |
| dc.title | 都市居民面對氣候變遷之風險感知、環境態度、親環境行為及對集合住宅綠化願付價格之研究 | zh_TW |
| dc.title | A study in climate change research:Risk Perception, Environmental Attitude, Pro-environmental Behavior, and Willingness to Pay for Greening of Congregate Housing of Urban Residents | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林寶秀(Bau-Show Lin),林晏州(Yann-Jou Lin),江彥政(Yen-Cheng Chiang),蘇愛媜(Ai-Tsen Su) | |
| dc.subject.keyword | 都市熱島,建築綠化,陽臺綠化,庭園型綠化,盆缽型綠化,活動式綠牆, | zh_TW |
| dc.subject.keyword | Urban Heat Island,Building Greening,Balcony Greening,Garden-type Greening,Pot-type Greening,Living Green Wall, | en |
| dc.relation.page | 152 | |
| dc.identifier.doi | 10.6342/NTU202201801 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2022-07-28 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 園藝暨景觀學系 | zh_TW |
| 顯示於系所單位: | 園藝暨景觀學系 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-2707202221344700.pdf 未授權公開取用 | 3.01 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
