Implementing Smart Green Building Architecture to Residential Project Based on Kaohsiung, Taiwan

Liu, K. S.

doi:10.15666/aeer/1502_159171

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…They preferred housings that are idyllic and are located in places that offer a high quality of living. Furthermore, Liu et al [38] administered a questionnaire to Kaohsiung residents and indicated that rigorous safety monitoring and holistic elderly care influenced consumers' purchases of high-quality housing, and these two factors are salient design concepts for age-friendly housing. They also found that age-friendly housing met the housing needs of females.…”

Section: Empirical Analysis Resultsmentioning

confidence: 99%

Exploring the Factors Influencing Kaohsiung Residents’ Intentions to Choose Age-Friendly Housing

Lee

Liang

et al. 2020

IJERPH

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Taiwan’s declining birthrate has changed the housing market, which should become more consumer-oriented in the future. In particular, age-friendly housing has become a salient housing choice among buyers. Age-friendly housing consists of housing units that are suitable for occupants of any age. There are three concepts underlying such housing: aging in place, multigenerational-multiunit living arrangements, and lifetime homes. This study aimed to examine the factors affecting consumers’ choice of age-friendly housing. The participants were residents of Kaohsiung City, and data analysis was performed using a binary logistic model. The empirical results indicated that adult sons/daughters, residents who currently live in the city center, residents who have a high or medium monthly family income, residents who are currently part of a stem family, residents who desire to live under multigenerational-multiunit living arrangements, residents who desire to be a part of a stem family, and residents who prioritize housing type when house-buying are significantly more likely to choose age-friendly housing. These results can serve as a reference regarding age-friendly housing investments for investors, as well as for house buyers who are deliberating between age-friendly housing and ordinary housing.

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Section: Empirical Analysis Resultsmentioning

confidence: 99%

Exploring the Factors Influencing Kaohsiung Residents’ Intentions to Choose Age-Friendly Housing

Lee

Liang

et al. 2020

IJERPH

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“…Hu et al suggested that performance considerations, such as health and comfort, are the key motivations for attracting consumers to purchase GHs [ 17 ]. Liu et al found in a survey conducted in Taiwan that a higher perception of the quality and economic characteristics of GHs may lead to a higher willingness to pay for residents [ 48 ]. Thus, if residents perceive higher functional benefits of GHs, then they will have a more positive overall perceived value of GHs.…”

Section: Theoretical Framework and Research Hypothesesmentioning

confidence: 99%

Exploring Residents’ Purchase Intention of Green Housings in China: An Extended Perspective of Perceived Value

Zhao

Chen

2021

IJERPH

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The promotion of green housings (GHs) is considered a potentially effective way to save energy, reduce air pollution, and promote industrial upgrading. However, the low level of public acceptance of GHs leads to insufficient GH market penetration in China. Thus, it is significant to explore GH purchase decisions to understand and enhance the market demand for GHs effectively. From an extended perspective of perceived value, this study proposes a comprehensive research model that integrates residents’ perceptions and personal traits to examine the influencing mechanism of residents’ intention to purchase GHs. The proposed model is empirically tested using data collected from 728 urban residents in China. The results reveal that perceived value is a crucial predictor of GH purchase intention. All dimensions of perceived benefits—including perceived functional benefits, perceived emotional benefits, perceived green benefits, and perceived social benefits—have a positive influence on perceived value, while perceived performance risks have a negative influence on perceived value. Two types of personal traits, namely, environmental concern and social trust, significantly affect residents’ perceived benefits and perceived risks. The findings contribute to a more in-depth analysis of the effects of residents’ perceptions and personal traits on GH purchase behavior. Furthermore, suggestions for policymakers and developers on popularizing GHs are proposed.

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“…To cope with issues of global climate and environmental change, the ecocity concept has become an ideal goal in urban development in recent years [4]. Additionally, urban development-oriented ideas such as promoting alternative fuel vehicles, using solar energy equipment in residential situations, cultivating low-carbon living habits [5], providing environmental education [6,7], constructing green buildings [8,9], and implementing green community construction have been developed with the aim pf achieving the ideal goal of a low-carbon city [10,11].…”

Section: Introductionmentioning

confidence: 99%

Conceptualization and Development of a DFuzzy Model for Low-Carbon Ecocities

2019

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The Industrial Revolution has enabled mechanization to lead the manufacturing industry into a new era of explosive economic growth. Mass production through the use of machines has improved the overall societal prosperity in industrialized countries. The great and continuous demand of mechanization, economic growth, and energy consumption has resulted in the excessive use of natural resources and the mining of natural energy deposits. Challenges such as serious environmental pollution, ecological damage, and climate change have been identified as some of the critical issues for sustainable development. Therefore, this paper proposes a Delphi and Fuzzy (DFuzzy) model in order to institute low-carbon ecocities. DFuzzy is a scientific decision-making model with quantitative multiple attributes and artificial intelligence. Twelve specialists from the Delphi experts were interviewed, including chief executive officers (CEOs) of industries, management committee members, and senior academics, all of whom have 15 years of experience in urban planning practice. After a three-round Delphi process with 17 criteria that were taken from the literature, four criteria of the DFuzzy model were recognized by experts: policy norms, resident cooperation, pollution prevention and control, and ecological reserves. The practical application of the DFuzzy model took three areas as examples: the Baiyun District and Conghua District of Guangzhou City, and the Dahu Community of Kaohsiung City. Through the experts’ consensus in the two-round Delphi process, the four criteria, as the input basis, demonstrated the objective quantitative calculation function of the DFuzzy model and also indicated that the model established in this study provides a reference for evaluating low-carbon ecocities.

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Implementing Smart Green Building Architecture to Residential Project Based on Kaohsiung, Taiwan

Cited by 7 publications

References 14 publications

Exploring the Factors Influencing Kaohsiung Residents’ Intentions to Choose Age-Friendly Housing

Exploring the Factors Influencing Kaohsiung Residents’ Intentions to Choose Age-Friendly Housing

Exploring Residents’ Purchase Intention of Green Housings in China: An Extended Perspective of Perceived Value

Conceptualization and Development of a DFuzzy Model for Low-Carbon Ecocities

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