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Urban air temperature rises induced by the urban heat island (UHIE) effect or by global warming (GW) can be beneficial in winter but detrimental in summer. The SCIENCE-Outdoor model was used to simulate changes to sensible heat release and CO2 emissions from buildings yielded by four UHIE countermeasures and five GW countermeasures. This model can evaluate the thermal condition of building envelope surfaces, both inside and outside. The results showed that water-consuming UHIE countermeasures such as evaporative space cooling and roof water showering provided positive effects (decreasing sensible heat release and CO2 emissions related to space conditioning) in summer. Additionally, they had no negative (unwanted cooling) effects in winter since they can be turned off in the heating season. Roof greening can provide the greatest space-conditioning CO2 emissions reductions among four UHIE countermeasures, and it reduces the amount of heat release slightly in the heating season. Since the effect on reducing carbon dioxide (CO2) emissions by UHIE countermeasures is not very significant, it is desirable to introduce GW countermeasures in order to reduce CO2 emissions. The significance of this study is that it constructed the new simulation model SCIENCE-Outdoor and applied it to show the influence of countermeasures upon both heat release and CO2 emissions.

To develop a decarbonized society, two contradictory requirements must be met: (1) reducing energy demand and (2) creating flexibility in energy demand in order to respond to fluctuations in renewable electricity generation. To help meet these requirements, conventional energy efficiency studies should be extended to incorporate “energy demand science.” This paper presents a definition of “energy demand science” and then reviews the related history and research questions of energy demand science in the context of the residential sector. It then examines three key areas that must be integrated into the next-generation energy demand science: (1) energy demand measurement with detailed granularity and analysis using cutting-edge technology, (2) energy demand modeling that helps clarify the formation mechanism of energy demand, and (3) identification of the factors that influence people's decision making, which represents typical human-dimension research. Energy demand science consists of technical, human, natural environment, demographic, and land-use dimensions, and their integration is key for the establishment of a decarbonized society.

A variety of energy-efficient and energy-generating products, such as photovoltaics (PV) and electric vehicles, have diffused into the market to reduce greenhouse gas emissions in the residential sector. Understanding future changes in electricity demand and supply is complicated by uncertainties such as lifestyle shifts and national energy policies, and how such changes interact with the diffusion of products. To address this issue, this study adopts a scenario approach to analyze the impact of product diffusion on residential electricity demand under different social circumstances. Two simulation models are employed for the analysis: (i) a model for estimating the diffusion of products based on consumer preferences and (ii) a model to estimate electricity demand in residential sectors considering product diffusion. To demonstrate the proposed method, a scenario analysis case study was conducted, estimating the electricity demand in the residential sector of Toyonaka City, Osaka, Japan, for 2030. The results show that compared to 2012, the net electricity demand in the city in 2030 is projected to decrease by 20–39% depending on the scenarios considered, with changes in demographics and PV diffusion identified as among the most critical factors. [ABSTRACT FROM AUTHOR]

The article explores the use of the Social and Emotional Health Survey-Secondary version (SEHS-S) with a sample of 975 Japanese students in Grades 7-9 attending schools located northwest of Tokyo. A confirmatory factor analysis using half the sample confirmed the four-factor structure of the SEHS-S, and further analyses verified its second-order factor model including Belief-in-Self, Belief-in-Others, Emotional Competence, and Engaged Living, all of which contribute to a latent second-order construct labeled Covitality. Additional SEM validity analyses found that the four identified first-order SEHS constructs and the second-order covitality construct were positively associated with subjective well-being. SEHS-S scores also predicted several variables indicative of positive school engagement for Japanese students, including academic performance, social relationships, and willingness to assist others. Results of the study are discussed in terms of the advantages of using strength-based assessments such as the SEHS-S for Japanese students and in promoting well-being in this population.

Systemic understanding of potential research activities and available technology seeds at university level is an essential condition to promote interdisciplinary and vision-driven collaboration in an attempt to cope with complex sustainability and environmental problems. Nonetheless, any such practices have been hardly conducted at universities due mainly to a lack of appropriate institutional schemes and methodologies to systemically collect, map out, and synthesize individual research activities within a university. In this paper, we present the recent initiative of such systemic and comprehensive understanding of research activities at university level. We carry out a case study, attempting to summarize all the relevant research activities and technology seeds associated with environmental issues and sustainability currently being studied individually at the laboratory level at Osaka University. We collected 138 potential seeds from the university's relevant schools and institutes and sorted them according to Japan's three sustainability visions. The case study demonstrates the university's potential to provide collective knowledge enabling the societal transition to sustainability if these seeds are systematically overviewed and effectively mobilized to mesh with specific social demands and purposes. We highlight the need for a framework and practice that allows synthesizing research activities and promising technologies even at university level to further facilitate providing collective knowledge and discuss challenges and research needs for promoting synthesis practices and interdisciplinary research that are essential to deal with sustainability problems.

The validity of the Multidimensional School Anger Inventory (MSAI) was examined with adolescents from 5 Pacific Rim countries (N = 3,181 adolescents; age, M = 14.8 years; 52% females). Confirmatory factor analyses examined configural invariance for the MSAI's anger experience, hostility, destructive expression, and anger coping subscales. The model did not converge for Peruvian students. Using the top 4 loaded items for anger experience, hostility, and destructive expression configural invariance and partial metric and scalar invariances were found. Latent means analysis compared mean responses on each subscale to the U.S. sample. Students from other countries showed higher mean responses on the anger experience subscale (ds = 0.37-0.73). Australian (d = 0.40) and Japanese students (d = 0.21) had significantly higher mean hostility subscale scores. Australian students had higher mean scores on the destructive expression subscale (d = 0.30), whereas Japanese students had lower mean scores (d = -0.17). The largest latent mean gender differences (females lower than males) were for destructive expression among Australian (d = -0.67), Guatemalan (d = -0.42), and U.S. (d = -0.66) students. This study supported an abbreviated, 12-item MSAI with partial invariance. Implications for the use of the MSAI in comparative research are discussed.