Perceived Quality of Urban Wetland Parks: A Second-Order Factor Structure Equation Modeling

Li, Jiang; Pan, Qiao; You, Peng; Feng, Tao; Liu, Shaobo; Cai, Xiaoxi; Zhong, Chixing; Yin, Yajun; Lai, Wenbo

doi:10.3390/su12177204

Cited by 16 publications

(12 citation statements)

References 56 publications

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“…Furthermore, their study also showed that although landscape composition and arrangement both have an impact on LST, landscape composition is more important than landscape layout; thus, one component indicator (e.g., impervious surface) together with no more than four landscape layout indicators can well lead to the prediction of LST [23][24][25][26][27]. ese research results can help landscape ecologists effectively use landscape indicators and promote landscape planners to make balanced use of land use types (LUTs) in urban planning [28][29][30][31][32][33]. Mainly, land surface characteristics are primarily represented by land cover and land use (LCLU).…”

Section: Introductionmentioning

confidence: 84%

“…After the establishment of the indexes, the same index value can contain different types of surface factors. Although the fitting with the LST can point to a specific trend and indicate a particular connection [24][25][26][27][28][29][30], we do not know precisely what type of surface factors respond to the thermal environment [4][5][6][7] and how much they are affected [8][9][10]. rough regression statistics, more than 95% of confidence level indicates that vegetation has the greatest influence on the rate of change of environmental temperature, with a contribution coefficient of about 0.17, followed by dark soil with a contribution coefficient of 0.16, and water bodies and buildings with high reflectivity have the least contribution coefficient to the thermal environment.…”

Section: Advances In Meteorologymentioning

confidence: 99%

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Contribution Degree of Different Surface Factors in Urban Interior to Urban Thermal Environment

Wan

Zhu

2021

Advances in Meteorology

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The contribution degree of different surface factors (complexity and heterogeneity) in the urban interior to the urban thermal environment has become an issue of increasing concern under changing climate. In this paper, the multiple linear regression analysis methods to analyze the contribution degree of different surface factors to the urban thermal environment were based on seven urban built-up areas. At the same time, the LST of the same type of factors in the same city will have a difference of ±2.5°C due to the different surrounding features. At the same time, the LST of the same ground object in the same city will be ±2.5°C different because of the difference of the surrounding ground object. The environmental LST and the mean LST of other surface factors were significantly correlated, and the root mean square error was 3.52. This study first classifies the ground features with different attributes, conducts LST statistics for each category, and conducts multivariate linear analysis, instead of setting some fuzzy exponent and forcing a threshold to calculate. The purpose is to explore the contribution of different reflectivity ground objects to the urban thermal environment.

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Section: Introductionmentioning

confidence: 84%

Section: Advances In Meteorologymentioning

confidence: 99%

Contribution Degree of Different Surface Factors in Urban Interior to Urban Thermal Environment

Wan

Zhu

2021

Advances in Meteorology

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“…These are positively related and shows us the probability that a citizen has a high level of well-being measured as satisfaction in the set of municipal services and recommends the city as a place to live, attracting population to it, facing the problem of depopulation. from urban areas [ 48 – 69 ] and these affect the likelihood that citizens will stay and recommend the urban area, thus avoiding the dreaded depopulation [ 49 ].…”

Section: Introductionmentioning

confidence: 99%

Study of citizen satisfaction and loyalty in the urban area of Guayaquil: Perspective of the quality of public services applying structural equations

et al. 2022

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This study investigates the satisfaction and adequacy of citizens through the expected quality and perceived quality in the areas of planning and territorial viability, experience in the provision of municipal services and citizen experience in environmental issues, in order to provide tools for territorial decision making for the citizens’ well-being. In our research PLS software is used for the analysis of hypotheses. A questionnaire was delivered to a sample of 521 citizens, representing the spectrum of the population, and the statistical study of the responses yielded results on citizen satisfaction and loyalty. Our research includes the study of moderating effects on the causal ratio of perceived value and satisfaction in territorial planning and viability, the perceived quality in the provision of municipal services and the perceived quality in the citizen experience in the environmental management of the territory on the value relationship perceived by the citizen and general satisfaction. A second objective of the study is to see if there are significant differences in the hypotheses raised by gender by performing a multigroup analysis. This difference has been appreciated in two of the hypotheses. The study shows that the policies exercised by the territorial managers of the different areas have a significant influence on the value perceived by citizens, satisfaction and loyalty, which shape their general well-being. Areas for improvement in territorial policies and municipal services such as citizen security, air quality, public lighting and sports services have been identified. Knowing these shortcomings allows politicians to focus their efforts on improving the quality of life in cities.

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“…As the essential components in urban system, outdoor and semi-outdoor environments can provide open spaces for hosting various recreational, social and commercial activities [16]. On the other hand, the outdoor green spaces in urban areas are facilitating to adapt to the increased heat stress and evolving into an important contribution to the energy efficiency of the surrounding buildings [17,18].…”

Section: Introductionmentioning

confidence: 99%

Assessing Comfort in Urban Public Spaces: A Structural Equation Model Involving Environmental Attitude and Perception

You

Peng

Feng

et al. 2021

IJERPH

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The research of comfort in urban public spaces has become increasingly important for improving environmental quality and encouraging people spend more time in outdoor activities. Among numerous approaches to understand comfort perception, the rational indices based on heat balance theory have prevailed to guide the research and practice in urban planning, design, and management. The limitations of a solely rational index-based approach reveal the necessity for a more comprehensive understanding of comfort by considering a wider range of influential factors from both individual and environmental perspectives during the assessing process. This study conceptualizes individuals’ comfort in urban public spaces as a latent construct, which is measured by indicators regarding perceptions on multifarious meteorological variables. The conceptual framework has been introduced involving hypothetical relationships among individuals’ comfort, attitudes, and environmental perceptions in urban public spaces. A series of field work including microclimate measurements and questionnaire-based surveys were carried out in two public squares in Changsha, China. Based on the dataset derived from 372 questionnaires and related meteorological measurements, this paper examines the relationships between the physical microclimatic variables, individuals’ socio-demographical characteristics and environmental attitudes and perceptions, and outdoor comfort assessment. The estimation results of the structural equation model quantitatively verified the conceptual framework at large, as many hypothetical relationships are identified, which indicates the importance of individuals’ role and the psychological factors in modeling comfort perception. This approach improves the understanding of comfort assessment, contributes to improving the quality of urban environment and the practices of urban planning and management.

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Perceived Quality of Urban Wetland Parks: A Second-Order Factor Structure Equation Modeling

Cited by 16 publications

References 56 publications

Contribution Degree of Different Surface Factors in Urban Interior to Urban Thermal Environment

Contribution Degree of Different Surface Factors in Urban Interior to Urban Thermal Environment

Study of citizen satisfaction and loyalty in the urban area of Guayaquil: Perspective of the quality of public services applying structural equations

Assessing Comfort in Urban Public Spaces: A Structural Equation Model Involving Environmental Attitude and Perception

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