The perceived psychological distance of climate change impacts and its influence on support for adaptation policy

Singh, Ajay S.; Zwickle, Adam; Bruskotter, Jeremy T.; Wilson, Robyn S.

doi:10.1016/j.envsci.2017.04.011

Cited by 149 publications

(130 citation statements)

References 40 publications

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“…The psychological distance is the subjective and individual behaviour of the surrounding residents. The residents do not really understand each other's psychological effects and their own emotional needs, which also makes it difficult to study the LSPBs (Singh, Zwickle, Bruskotter et al, 2017). Based on the theory of psychological space distance, this paper explores the psychological effect of the LSPBs on surrounding residents.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Psychological Effect of Large-Space Public Buildings on Surrounding Residents Based on Psychological Space Distance Theory

2020

RACP

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With the boom of urban construction, more and more large-space public buildings (LSPBs) have emerged, which widens the psychological space distance between surrounding residents. In this paper, the psychological effect of the LSPBs on the surrounding residents is analysed based on the psychological space distance theory. Eight scenarios were designed according to the construction time of the LSPBs, and the sociality of the surrounding residents. A total of 150 families were selected to make real responses to different scenarios. The responses were analysed in the light of behavioural psychology of people in the LSPBs. The results show that the psychological space distance is unmeasurable, yet affects the behavioural decisions; the psychology of surrounding residences varies with the psychological space distances; the psychological effect on the surrounding residents is negatively correlated with the LSPBs' construction time, and positively with the sociality of the residents. The research findings lay a theoretical basis for the rational design of the LSPBs.

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Section: Introductionmentioning

confidence: 99%

Analysis on Psychological Effect of Large-Space Public Buildings on Surrounding Residents Based on Psychological Space Distance Theory

2020

RACP

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“…Under the agreement, China has pledged that by 2030, carbon emissions per unit of GDP will fall by 60% to 65% from 2005. Research on influencing factors analysis and CO 2 emission prediction will help the government extract the main factors influencing CO 2 emissions and use them to guide CO 2 reduction efforts [14]. In recent years, research on CO 2 emission factors has mainly related to (1) exponential decomposition analysis methods, such as the generalized Fisher Index (GFI) decomposition analysis, logarithmic mean index Divisia decomposition method, and Laspeyres decomposition method [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Predicting and Analyzing CO2 Emissions Based on an Improved Least Squares Support Vector Machine

Sun¹,

Huang²,

Wang³

2019

Pol. J. Environ. Stud.

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Carbon dioxide (CO 2) is the main cause of the greenhouse effect. With the rapid development of the economy in China, CO 2 emissions have increased dramatically. To reduce CO 2 emissions, ensure the sustainability of China's economy and implement the Paris International Convention, it is important to investigate the main factors affecting CO 2 emissions and use those factors to accurately forecast CO 2 emissions. In order to achieve accurate prediction of CO 2 , this paper proposes a CO 2 emission prediction model based on principal component analysis (PCA) and particle swarm optimization for least squares support vector machine (PSO-LSSVM). Through data 1990-2016 in Hebei Province of China, this paper identifies 24 influencing factors though the bivariate correlation analysis. After applying PCA to reduce the dimensions of the influencing factors, two principal components were extracted as input variables. Then the parameters of the LSSVM model are obtained by PSO and the forecast model is established. By comparing the prediction results with actual values, it is proved that the prediction error of the PSO-LSSVM prediction model is 0.663%, which is smaller than that of the traditional BPNN and LSSVM models.

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“…Patchen (2006) argues that some people show their concern about climate change, while many others have not. Those who perceive climate change is still far away, or those who think of that climate change will not have any impacts to them will put little concern and tend to be apathetic to this issue (Lieske et al, 2014;Singh et al, 2017). Moreover, those who show their concern believe that the world's climate is changing (Hayles & Dean, 2015) and aware of its causes and impacts.…”

Section: Introductionmentioning

confidence: 99%

The Level of Climate Change Awareness among Citizens of Bitung City, Indonesia

Nggole

Tyas²,

Pradoto³

2019

JWL

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Knowledge about citizen’s climate change awareness level is needed to establish an appropriate policy to cope with climate change hazard, particularly in a highly vulnerable country like Indonesia. However, research regarding climate change awareness among citizens in Indonesian cities is limited. This research aims to investigate the level of climate change awareness among the citizens in Bitung City, a medium-sized city in the eastern part of Indonesia. The survey method is used in the research by analyzing questionnaires collected from the citizens. Three variables for measuring the awareness level include public concerns on climate variability, the causes of climate change, and the impacts of climate change. The findings show that the citizens of Bitung have a ”quite strong” awareness level. This contributes to the recognition of citizens’ characteristics toward climate change useful to climate change policy formulation in Indonesia, particularly the Bitung City Government. Some recommendations for the government include the incorporation of climate change issue to the citizens’ daily life and development programs by establishing a special task force of climate change at the city level.

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The perceived psychological distance of climate change impacts and its influence on support for adaptation policy

Cited by 149 publications

References 40 publications

Analysis on Psychological Effect of Large-Space Public Buildings on Surrounding Residents Based on Psychological Space Distance Theory

Analysis on Psychological Effect of Large-Space Public Buildings on Surrounding Residents Based on Psychological Space Distance Theory

Predicting and Analyzing CO2 Emissions Based on an Improved Least Squares Support Vector Machine

The Level of Climate Change Awareness among Citizens of Bitung City, Indonesia

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