Papers - Kawakubo, Shun

Validation of Energy Simulations for Multi-family Residences with Photovoltaic Power and Gas Cogeneration: Case Study on Balancing Energy Efficiency and Resident Health

Hikari Harasaki, Kan Shindo, Shin-ichi Tanabe, Toru Shiba, Shun Kawakubo, Takashi Akimoto, and Toshiharu Ikaga

Energy and Buildings (Elsevier)     116088 2025.10

Research paper (scientific journal), Joint Work, Accepted

Effects of residential floor-level thermal environment on task performance via psychophysiological responses using multilevel structural equation modeling

Shun Kawakubo, Shiro Arata, Chihiro Suganuma, Yuya Takuwa, Toshiharu Ikaga

Building and Environment (Elsevier)     113416 2025.09

Research paper (scientific journal), Joint Work, Lead author, Corresponding author, Accepted

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Proposal and Case Application of ZEF (net Zero Energy Factory) Based on ZEB Standards for Energy Evaluation in Factories

Kunita SHINDO, Taisuke OKI, Shogo MURAKAMI, Shiro ARATA and Shun KAWAKUBO

Transactions of the Society of Heating,Air-conditioning and Sanitary Engineers of Japan (The Society of Heating, Air-Conditioning & Sanitary Engineers of Japan)  50 ( 340 ) 23 - 30 2025.07

Research paper (scientific journal), Joint Work, Accepted,  ISSN  2424-0486

DEVELOPMENT OF AN ONLINE PLATFORM TO SUPPORT LOCAL GOVERNMENTS’ SDG INITIATIVES

Shun Kawakubo, Hayato Imai, Tomoya Asano, Chihiro Nozaki, Yutaro Kimura, Shintaro Ozaki

AIJ Journal of Technology and Design (Architectural Institute of Japan)  31 ( 78 ) 1135 - 1140 2025.06

Research paper (scientific journal), Joint Work, Lead author, Corresponding author, Accepted,  ISSN  18818188

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The efforts of local governments are essential to achieving the Sustainable Development Goals (SDGs). To support these initiatives, an online platform providing SDG-related information was developed. The platform offers two main functions: searching for and sharing information. Users can search for plans, progress, and exemplary cases related to the SDGs across 1,788 local governments, while local governments can voluntarily share their own exemplary cases. Since its launch in 2018, the platform has been utilized by approximately 400 local governments, facilitating widespread info

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Verification of the effectiveness of automatic optimization control of cold-water supply temperature using image sensors and machine learning

Kunita SHINDO, Taisuke OKI, Wataru Mimura, Shiro ARATA, Naoto TATSUTA and Shun KAWAKUBO

Transactions of the Society of Heating,Air-conditioning and Sanitary Engineers of Japan (The Society of Heating, Air-Conditioning & Sanitary Engineers of Japan)  50 ( 339 ) 19 - 25 2025.06

Research paper (scientific journal), Joint Work, Accepted,  ISSN  2424-0486

Causal effects of the residential environment on hypertension, heart disease, and asthma: a cross-lagged panel model from a prospective cohort study

Shiro Arata, Tomomitsu Kamata, Shuzo Murakami, Toshiharu Ikaga, Shun Kawakubo

Building and Environment (Elsevier)  270   112516 2025.02

Research paper (scientific journal), Joint Work, Last author, Accepted

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Key office environment items from post-occupancy evaluation data using item response theory

Shiro Arata, Tomomitsu Kamata, Shuzo Murakami, Toshiharu Ikaga, Yoshihisa Fujino, Yasuyuki Shiraishi, Tatsuya Hayashi, Junta Nakano, Shintaro Ando, Shun Kawakubo

Building and Environment (Elsevier)  270   112519 2025.02

Research paper (scientific journal), Joint Work, Last author, Accepted

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高断熱集合住宅における床チャンバー方式の全館空調が住宅内温熱環境と居住者の健康に及ぼす影響

石井智大, 伊香賀俊治, 川久保俊, 吉田安広, 清田正道, 齊藤共主

Transactions of the Society of Heating,Air-conditioning and Sanitary Engineers of Japan (The Society of Heating, Air-Conditioning & Sanitary Engineers of Japan)  50 ( 334 )  2025.01

Research paper (scientific journal), Joint Work, Accepted

Comprehensive estimation model for the health economic impact of the residential environment

Tomomitsu Kamata, Junta Nakano, Ryota Fujii, Shuzo Murakami, Toshiharu Ikaga, Shun Kawakubo

Building and Environment (Elsevier)  267 ( C ) 112233 2025.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Analyzing multiple elements of physical office environment for maximizing perceived work efficiency: Insights from surveys of 58 offices during summer

Masaki Sugiuchi, Shiro Arata, Toshiharu Ikaga, Yasuyuki Shiraishi, Tatsuya Hayashi, Junta Nakano, Shintaro Ando, Shun Kawakubo

Building and Environment (Elsevier)  267 ( A ) 112153 2025.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Effects of perceived office environment on the subjective well-being of workers: Insights from a structural equation modeling analysis

Shiro Arata, Masaki Sugiuchi, Ryoma Yazawa, Haruki Funatsu, Shun Kawakubo

Building and Environment (Elsevier)  267 ( B ) 112180 2025.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Survival time analysis of the relationship between the residential environment and residents’ health status

Tomomitsu Kamata, Junta Nakano, Ryota Fujii, Shuzo Murakami, Toshiharu Ikaga, Shun Kawakubo

Building and Environment (Elsevier)  267 ( B ) 112305 2025.01

Research paper (scientific journal), Joint Work, Last author, Accepted

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Office environment and employee differences by company health management certification

Shiro Arata, Masaki Sugiuchi, Toshiharu Ikaga, Yasuyuki Shiraishi, Tatsuya Hayashi, Shintaro Ando, Shun Kawakubo

Building & Cities (ubiquity press)  5 ( 1 ) 723 - 743 2024.12

Research paper (scientific journal), Joint Work, Last author, Accepted

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47都道府県でのプラネタリー・ソーシャルバウンダリー評価の試行

松井 孝典, 渡辺 舞, 今井 隼人, 芳賀 智宏, 増原 直樹, 川久保 俊

環境情報科学論文集 (一般社団法人 環境情報科学センター)  38   63 - 70 2024.12

Research paper (scientific journal), Joint Work, Last author, Accepted

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Item response theory in building environment engineering: a novel approach to identifying key residential environment items

Shun Kawakubo, Tomomitsu Kamata, Shiro Arata, Shuzo Murakami, Toshiharu Ikaga, Yoshihisa Fujino, Junta Nakano, Shintaro Ando

Building and Environment (Elsevier)  111764 2024.06

Research paper (scientific journal), Joint Work, Lead author, Corresponding author, Accepted

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THERMAL ENVIRONMENT, ENERGY PERFORMANCE AND SUBJECTIVE EVALUATION BY RESIDENTS OF A HIGHLY INSULATED APARTMENT HOUSE EQUIVALENT TO ZEH STANDARD DURING WINTER

Shiro Arata, Yuto Demizu, Shun Kawakubo, Shizuo Iwase, Takashi Katayama

AIJ Journal of Technology and Design (Architectural Institute of Japan)  30 ( 74 ) 199 - 204 2024.02

Research paper (scientific journal), Joint Work, Accepted,  ISSN  18818188

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The study analyzes the thermal environment and energy-saving performance of nearly net-zero energy apartments in Japan during winter by measurement and questionnaire. Results show the average indoor temperatures exceeded 18°C even without air conditioning, due to superior insulation performance. Energy consumption for heating was 58.9% to 62.9% of the national average, and residents perceived their homes as warmer, leading to lower temperature settings of air-conditioner. However, there were several challenges, such as the low ratings by residents of non-heated rooms during winter.

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An Analysis of Nexus Structure of Sustainable Development Goals by Data-Driven Approach

松井 孝典, 安藤 魁呂, 今井 隼人, 芳賀 智宏, 岩見 麻子, 増原 直樹, 川久保 俊

環境情報科学論文集 (一般社団法人 環境情報科学センター)   ceis37 (0)   78 - 85 2023.12

Research paper (scientific journal), Joint Work, Last author, Accepted

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本研究ではデータ駆動アプローチによって</tt>SDGs <tt>のグローバル目標とターゲットの連環であるネクサス構造を分析した。</tt>SDGs <tt>ローカル指標、</tt>SDGs <tt>未来都市計画を対象に、スパースモデリングやネットワーク分析の技術を適用することでネクサス構造を帰納的に推論して可視化した。 その結果、現状の日本の</tt>SDGs <tt>のグローバル目標とターゲットには特徴を持ったネクサス構造があること、日本の</tt>SDGs <tt>の状態を表す顕示データであるローカル</tt>SDGs <tt>指標による推論されるネクサス構造とこれから</tt>SDGs <tt>未来都市が行おうとしている計画の選好データに見られるネクサス構造は異なる傾向を持つことを示した。これらの知見は、シナジー・トレードオフ構造を理解した上でのセクターを超えた包摂的な計画立案、パートナーシップの形成への示唆を与えると期待される

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A Study on Incorporation and Priority Goals of Local SDGs Policy Based on Planning Documents and Interview Survey

増原 直樹, 岩見 麻子, 熊澤 輝一, 鈴木 隆志, 松井 孝典, 川久保 俊

環境情報科学論文集 (一般社団法人 環境情報科学センター)  ceis37 (0)   46 - 51 2023.12

Research paper (scientific journal), Joint Work, Last author, Accepted

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日本全国のSDGs 未来都市について，154 の未来都市計画の内容分析と15 の自治体担当者を対象とした聞取り調査結果を基に，SDGs 政策の重点ゴールの変化，総合計画におけるSDGs 対応の手法，庁内外への普及啓発の現状とSDGs 推進上の課題を明らかにした。SDGs 担当課だけでなく行政各課もSDGs マッピングの作成過程に参加することで普及啓発のねらいがあると考察されたほか，先行研究と比較したところ未来都市における課題と一般的な自治体における課題には異なるところがあり，先進的に取り組んでいるが故に生じる課題がいくつかの未来都市で明らかになった。

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Investigation of the usefulness of newspaper article analysis of topics related to SDGs to grasp trends

岩見 麻子, 後藤 侑哉, 増原 直樹, 松井 孝典, 川久保 俊

環境情報科学論文集 (一般社団法人 環境情報科学センター)  ceis37 (0)   175 - 180 2023.12

Research paper (scientific journal), Joint Work, Last author, Accepted

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本研究では</tt>SDGs <tt>に関する話題の動向を把握する方法として，新聞記事に対するテキストマイニングの有用性を検討することを目的とした。具体的には朝日新聞を対象に「</tt>SDGs<tt>」が含まれる記事を収集し，対象記事の件数や分量の時系列推移を把握するとともに，出現語の関係性の可視化を試みた。その結果，</tt>SDGs <tt>が採択された当初の</tt>2015<tt>・</tt>2016 <tt>年は</tt>SDGs <tt>の紹介や全球規模の問題について扱われていたのに対して，</tt>2017 <tt>年以降はそれらの話題を残しつつ徐々に</tt>SDGs <tt>の達成に向けて活用が期待される技術や国内の地域レベルの問題，自治体・企業・学校での具体的な事例・取り組みへと話題が変化していったことを明らかにすることができ，</tt>SDGs <tt>に関する話題の動向を把握する方法として，新聞記事に対するテキストマイニングの有用性を示すことができた

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Visualization of urban roadway surface temperature by applying deep learning to infrared images from mobile measurements

Kawakubo S., Arata S., Demizu Y., Kamata T., Narumi D., Asawa T., Ihara T.

Sustainable Cities and Society (Sustainable Cities and Society)  99 2023.12

Accepted,  ISSN  22106707

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Urban heat islands (UHIs) have been worsening, and Tokyo, Japan, is among the worst globally. The urban thermal environment requires measurement to formulate effective countermeasures. This study proposes a method for detecting roadways from infrared images of captured by a moving automobile and using deep learning to extract roadway surface temperatures from the detected roadways. Additionally, a roadway surface temperature map of Tokyo was created from 17,000 infrared images covering a route of 37 km and was then used to identify hotter and cooler areas of the city in order to validate the proposed methodology. The surface temperatures were high on wide roadways with a high sky view factor, but were lower and less variable in street canyons. Roadways perpendicular to the solar azimuth had lower temperatures due to shading by buildings. The accuracy of deep learning to detect roadway was imperfect, but a significant improvement in analytical efficiency was achieved. The method could also be applied to three-dimensional evaluation of urban surface temperatures by extracting surface temperatures for various city components, such as buildings and vegetation.

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