Faculty of Urban Innovation, Department of Urban Innovation



Date of Birth


Research Fields, Keywords

District Heating and Cooling, Cogeneration, Energy Saving, Heat Island, Geographic Information System (GIS), Information System for Risk Management and Emergency Response, Enviromental Friendly Community Design, Community Design with Shopping Distric

Mail Address

E-mail address

Homepage URL


Graduating School 【 display / non-display


    Waseda University   Faculty of Science and Engineering   Graduated

Graduate School 【 display / non-display


    Waseda University  Graduate School, Division of Science and Engineering  Constrcution Engineering  Doctor Course  Accomplished credits for doctoral program


    Waseda University  Graduate School, Division of Science and Engineering  Construction Engineering  Master Course  Completed

Degree 【 display / non-display

  • Doctor of Engineering -  Waseda University

  • Master of Engineering -  Waseda University

External Career 【 display / non-display

  • 2001.04

    Kanagawa University   Department of Engineering   Part-time Lecturer  

  • 1994.04

    Keio University   Part-time Lecturer  

  • 1985.04

    Waseda University   Faculty of Science Engineering   Research Assistant  

Field of expertise (Grants-in-aid for Scientific Research classification) 【 display / non-display

  • Architectural environment/Equipment

  • Social systems engineering/Safety system


Research Career 【 display / non-display

  • Study on Low Carbon and Resilient City by constructing independent and detached Energy Systems.

    Project Year:  -   

  • Study on Geospatial Information for Urban Safety Planning.

    Project Year:  -   

  • Study on Construction of Integrated ICT Platform

    Project Year:  -   

  • Study on ICT Platform for Malti-Modal Smart Transportation Systems.

    Project Year:  -   

  • Study on Construction of Cities and Regions in Shrinking Era Making Use of Ecosystem Services

    Project Year:  -   

Books 【 display / non-display

  • The Urban Climatic Map

    Yasunobu Ashie, Takahiro Tanaka, Satoru Sadohara and Shusuke Inachi (Part: Joint Work )

    Routledge  2015 ISBN: 9781849713764

  • SATOYAMA Revitalization

    (Part: Joint Work )

    2011.11 ISBN: 9784883402656


Thesis for a degree 【 display / non-display

  • 東京都区部における地域冷暖房導入地区の選定に関する研究



    No Setting   Single Work

Papers 【 display / non-display


    KIM Kangmin, ITO Shunsuke, YOSHIDA Satoshi, SADOHARA Satoru

    Journal of Environmental Engineering (Transactions of AIJ) ( Architectural Institute of Japan )  84 ( 755 )   83 - 91   2019

    Joint Work

     View Summary

    &nbsp;In recent years after IPCC Fifth Assessment Report, strategies of not only mitigation but also adaptation are being focused for responding to climate change. The report has predicted that the average temperature would be rise by up to 4.8 &deg;C from now by the end of the 21st century if the current level of Greenhouse gas emission is continued. To prepare global warming, recent studies have estimated the impact of climate change on heating and cooling energy by utilizing future meteorological data.<br>&nbsp;In this context, Japanese government has recently published a database called &ldquo;Database for Policy Decision-Making for Future Climate Change&rdquo; (hereafter d4PDF) to be used researches for impact assessment studies and adaptation planning for global warming. building and urban energy sectors of Japan should utilize these weather prediction data to examine the impact of climate change and prepare adaptation strategies.<br>&nbsp;Therefore, this study aims to predict heating and cooling demand after a mean temperature increase of 4&deg;C (hereafter 4&deg;C-rise temperature) and analyze its effect on heating and cooling system by estimating system COP, total and peak energy demand, and amount of discharged heat and cooling tower makeup water with the d4PDF data. This study is based on the steam demand and the chilled water demand in Minatomirai 21 Area (hereafter MM21 Area) to reflect conditions of actual heating and cooling system.<br>&nbsp;To do this, this study conducted three steps: derivation of regression analysis equations, prediction of heating and cooling demand, and examination of influence on heating and cooling system.<br>&nbsp;The first step derived regression analysis equations between mean temperatures and the steam and chilled water demands in MM21 Area of 2014. The regression analysis equations are to predict the heating and cooling demand after 4&deg;C-rise temperature.<br>&nbsp;The second step estimated the fluctuation range of heating and cooling demand after 4&deg;C Global warming of d4PDF. Compared with the average year, the steam demand decreases to 70.7% to 77.2% and the chilled water demand increases to 147.9% to 163.4%. In the weather of the top 5% of 4&deg;C-rise temperature, the chilled water demand in August goes up 169.5% compared with the average year. The full load equivalent hour of steam and chilled water becomes 99.1% to 105.2% and 106.7% to 115.1% respectively, compared to the average year.<br>&nbsp;The third step examined the influence on the heating and cooling system of MM21 Area. The electric power consumption rises to 140.5% to 152.5% and the gas consumption is the similar level of the average year, 98.8% to 100.8%. Therefore, the annual primary energy consumption grows to 114.8% to 122.0% compared the average year. COP stays on the similar level of the average year and CO2 emission increases by 5.0% to 6.9% more than the average year<br>&nbsp;In the weather, the top 5% of 4&deg;C-rise temperature in August, the daily primary energy consumption rises to 162.0% compared the average year. Because of the increased cooling demand, the annual discharged heat and the annual cooling tower makeup water grow to 156.9% to 172.6%, compared with the average year. the peak of discharged heat is calculated at 165.3%.

    DOI CiNii

  • STUDY ON THERMAL AND WIND ENVIRONMENT IN HILLY CITY WITH YATO TOPOGRAPHY:Understanding the current situation and proposing planning guideline for each topography classification using field measurement and numerical calculation

    YOKOYAMA Makoto, TANAKA Takahiro, SUGIYAMA Toru, SADOHARA Satoru

    Journal of Environmental Engineering (Transactions of AIJ) ( Architectural Institute of Japan )  84 ( 758 )   457 - 467   2019

    Joint Work

     View Summary

    <p> In recent years, the thermal environment in urbanized areas is becoming increasingly severe for residents because of urban heat island effect and global warming. These phenomena are collectively regarded as urban warming. Consequently, some problems, such as loss of inhabitant's comfortable life, increasing of the energy consumption for cooling, extreme weather event and health hazard will occur. Therefore, effort to mitigate urban warming effect is permeating for example establishing guideline by Ministry of Land, Infrastructure and Transport.</p><p> Such effects are also reported in Yokohama where is a target place of this study, and urban planning considering urban warming effect are demanded in urban masterplan of Yokohama. Urbanized areas in Yokohama are classified into flatland in coastal area and hilly area in inland. Inland area has complicated topography and a lot of small valleys called "Yato". Generally, such valley area seems to be bad ventilation and heats tends to accumulate in valley because of its topographical characteristics. Therefore, urbanized Yato seems to tend to become more severe thermal environment than other urbanized area. On the other hand, in and around Yato, cold air drainage may be available to improve thermal environment during nighttime because of many forest areas in slope area of Yato.</p><p> Therefore, understanding thermal and wind environment characteristics in hilly city including Yato and proposing planning guidelines (i.e. land use planning and natural resource utilizing planning) for every topography from the view point of urban warming effect mitigation is important to form sustainable urban environment in Yokohama.</p><p> From such backgrounds, this study aims to understand thermal and wind environmental characteristics of hilly city including Yato and propose panning guidelines to mitigate urban warming effect. In this study, fixed point observation and numerical calculation by Multi-Scale Simulator for the Geoenvironment (MSSG) is used and present urban climate of hilly city is analyzed from these results. Furthermore, potential natural climate, in which building effect is removed and all present urbanized area is naturalized, is calculated by MSSG and potential climatic environments in hilly city are analyzed. Finally, planning guidelines for each topography in hilly city is proposed by using these results.</p><p> The major findings are as follows:</p><p> 1) Thermal and wind environment is not good in flatland and good in plateau in present daytime.</p><p> 2) Valley is better thermal and wind environment than flatland, but local higher air temperature area exists in valley from observation results in present daytime.</p><p> 3) Air temperature is lower near slope green area because of cold air drainage from slope green, and it is higher in center of flatland far from slope green in present nighttime.</p><p> 4) Maximum effective distance of cold air drainage is estimated about 50m from observation result and about 270m from calculation results respectively, and these distances differ by topography, amount of green area and building density around each area.</p><p> 5) Potential wind environment is good during daytime, and rich effect of cold air drainage is expected during nighttime in flatland. So, making open space near exit of valley and along prevail wind direction is effective to mitigate thermal environment during daytime and nighttime.</p><p> 6) Improving ventilation isn't effective to for valley, this is because potential wind environment during daytime is not good in this area because of topographical characteristics. On the other hand, decreasing building density and renaturalization is required to maximize effect of cold air drainage.</p>

    DOI CiNii

  • A Study on The Role Played by Local Nature for Residents,

    Junko Sato, Keiko Inagaki, Satoru Sadohara and Takahiro Tanaka

    Proceedings of the 12th International Symposium on Architectural Interchanges in Asia ( ISAIA 2018 )    563 - 566   2018.10

    Joint Work


    SASAKI Yui, MATSUO Kaoru, YOKOYAMA Makoto, TANAKA Takahiro, SADOHARA Satoru

    Journal of Environmental Engineering (Transactions of AIJ) ( Architectural Institute of Japan )  ( 751 )   769 - 779   2018.09

    Joint Work

     View Summary

    &nbsp;In recent years, temperatures in urban area rise because of urban heat islands. Therefore, it is necessary to consider the mitigation of urban warming. For proposing the mitigation measures for proper places, this study aims at producing Urban Environmental Climate Maps (UECMs) of Yokohama, a coastal warming urban area, which has a particular climatic characteristic with a sea breeze coming from two directions. In this study, it performed the analysis by using the data from meso-scale meteorological model (WRF) and the field temperature measurement in 2015 and 2016.<br>&nbsp;At first, typical summer fine weather days are extracted. Secondly, classification criteria are made by using data of the wind direction and velocity of the Yokohama Local Meteorological Observatory and AMeDAS Tsujido Observatory during summer days in 2015 and 2016. From the results, authors can classify into three patterns, pattern A, pattern B and pattern C. In this study, the target is Pattern C that is defined as &ldquo;East wind and southwest wind blow&rdquo;.<br>&nbsp;Next, it estimated the sea breeze front by using data from WRF. By using the wind distribution data from WRF, the target area is classified into &ldquo;Sea breeze arrival zone&rdquo; and &ldquo;Sea breeze non-arrival zone&rdquo; base on the presence of invasions of sea breeze. And the boundary of the 2 zones seems to be the sea breeze front. In order to compare and select the best criteria, the following three criteria are set. By using Criteria 3, the sea breeze front locations are spatially grasped, and the sea breeze arrival time map are computed.<br>&nbsp;Next, authors performed the relevant analysis on the temperature and the factors of temperature distribution. Firstly, a multiple regression analysis is performed in order to understand the factors of temperature distribution in the whole target area. It used average hourly measured temperatures in 2015, for each time, as objective variables and five explanatory variables. The results show that the standardized partial regression coefficient of the sea breeze arrival time is large in the positive direction mainly in daytime and the one of NDVI is large in the negative direction mainly in nighttime. Both explanatory variables are meaningful with significant level 5%.<br>&nbsp;Based on the sea breeze arrival time map, the target area can be classified into four zones by the sea breeze front location. The result of analyzing the relationship among measured temperature in 2015 and the NDVI, Ratio of Building Blocking (RBB) for each zone, it is found that the factor of temperature distribution varied according to zone.<br>&nbsp;Besides, authors performed the analysis on the factors of temperature distribution inside of Yato. Yato is the topography where flatland get into the hill plateau with the horseshoe shape. In the target area, it is revealed that the factors of the temperature distribution of the inside of Yato are different from the outside.<br>&nbsp;Finally, authors made the Urban Environmental Climate Maps (UECMs) in the daytime and nighttime based on the factors of the temperature distribution. Also, authors proposed mitigating measures for each zone.

    DOI CiNii




    Joint Work

display all >>

Review Papers 【 display / non-display

  • Problem of the Energy Aspect and Prospect in Urban Development Focusing Mainly on the Lower Carbon

    SADOHARA Satoru

      45 ( 4 ) 184 - 191   2016.04

    Introduction and explanation (scientific journal)   Single Work


  • The Present Status, Issues and Future Prospects of Urban Energy System

    Energy and resources ( The Society of Japan Energy and resources )  35 ( 3 ) 140 - 143   2014.05

    Introduction and explanation (scientific journal)   Single Work


  • Expectations from Architectural Earthquake Resistance

      1637   40 - 44   2012.10

    Introduction and explanation (commerce magazine)   Joint Work


  • Outline of the water resources GIS application, Arc Hydro, and case studies in the United States

    KAWASAKI Akiyuki,YOSHIDA Satoshi,SADOHARA Satoru

    Theory and Applications of GIS ( Geographic Information Systems Association )  15 ( 1 ) 29 - 37   2007.06  [Refereed]  [Invited]

    Introduction and explanation (others)   Joint Work

    DOI CiNii

  • An Introduction to Salton Sea Database Program (SSDP)

    YUKAWA Kyosuke,TANAKA Takahiro,YOSHIDA Satoshi,SADOHARA Satoru

    Theory and Applications of GIS ( Geographic Information Systems Association )  12 ( 1 ) 91 - 95   2004.07  [Refereed]  [Invited]

    Introduction and explanation (scientific journal)   Joint Work

    DOI CiNii

display all >>

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(A)

    Project Year: 2011.04  -  2014.03 

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2004.04  -  2007.03 

  • Grant-in-Aid for Exploratory Research

    Project Year: 2004.04  -  2006.03 

Other external funds procured 【 display / non-display

  • Area Management Platform for Super Smart City

    Offer organization: Japan Science and Technology Agency 

    Project Year: 2018.11  -  2020.03  Investigator(s): SADOHARA Satoru

     View Summary

    Using Yokohama Minatomirai 21 district as a target model, we will build a platform that can mount and visualize human flow data in threedimensional cyberspace, including attribute information such as position information and spatial functions. This platform has the capability of processing the cyber-physical systems (CPS) cycle of collection, accumulation, analysis, integration (service design), and execution using the collected human behavior and human flow data. By its function, we can scientifically grasp the actual condition and flow of human behavior and human flow, which is the main component of cities; convert it to big data; tackle difficult modeling; and utilize the results of the simulation. This platform will promote collaboration among diverse stakeholders to create new value through various human-centered services related to disaster prevention, mitigation, marketing, etc. Our research and development affirms the concept of the system architecture, the social and economic impact, and the implementation scenario of this platform.

Preferred joint research theme 【 display / non-display

  • Study on Realization of Ecological Communities

  • Study on Energy System in Cities