Research Roadmap for Intelligent and Responsive Buildings

Intelligence has three parts cognitive, emotional and practical. A building needs to reflect this. So an intelligent building will responsive to people in terms of not only being functional but to the human senses besides serving a community in the location. It will be resource effective in terms of energy , water and waste with low pollution. It will be smart in terms of technology selected to enable the systems to respond effectively but also make them easier for people to use. Today there is a focus on health and wellbeing and so intelligent buildings must produce a healing environment. Buildings need to be functional and practical but also expressive. Equally important is the infrastructure that services buildings and the people moving between them.

[1]  Tony Llewellyn.  Performance Coaching for Complex Projects: Influencing Behaviour and Enabling Change , 2016 .

[2]  Mark J. Nieuwenhuijsen,et al.  Commuters’ exposure to PM2.5, CO, and benzene in public transport in the metropolitan area of Mexico City , 2004 .

[3]  Chi Nyon Kim,et al.  Spatial distribution of particulate matter (PM10 and PM2.5) in Seoul Metropolitan Subway stations. , 2008, Journal of hazardous materials.

[4]  Tianzhen Hong,et al.  Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .

[5]  Salvador Calvet,et al.  Particulate matter concentrations and emissions in rabbit farms , 2012 .

[6]  Chang-Jin Ma,et al.  Physicochemical Properties of Indoor Particulate Matter Collected on Subway Platforms in Japan , 2012 .

[7]  Yu-Hsiang Cheng,et al.  Levels of PM10 and PM2.5 in Taipei Rapid Transit System , 2008 .

[8]  F. Marcovecchio,et al.  Particulate matter concentration and chemical composition in the metro system of Rome, Italy , 2015, Environmental Science and Pollution Research.

[9]  Bruno Oro,et al.  Gansu Studio: 'Plug-in' school unit for rural China , 2019 .

[10]  조영민,et al.  Status of PM in Seoul metropolitan subway cabins and effectiveness of subway cabin air purifier (SCAP) , 2014 .

[11]  Henggen Shen,et al.  Passengers’ Exposure to PM2.5, PM10, and CO2 in Typical Underground Subway Platforms in Shanghai , 2014 .

[12]  Mohammad Hoseini,et al.  Concentration and characterization of airborne particles in Tehran’s subway system , 2014, Environmental Science and Pollution Research.

[13]  Karen S. Hollweg,et al.  Introduction: Ecosystem Understanding Is a Key to Understanding Cities , 2003 .

[14]  R. Burnett,et al.  Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. , 2002, JAMA.

[15]  Luisa F. Cabeza,et al.  Heating and cooling energy trends and drivers in buildings , 2015 .

[16]  Bilal Succar,et al.  Building information modelling framework: A research and delivery foundation for industry stakeholders , 2009 .

[17]  Z. Ning,et al.  Chemical characterization and redox potential of coarse and fine particulate matter (PM) in underground and ground-level rail systems of the Los Angeles Metro. , 2011, Environmental science & technology.

[18]  Hongbo Fu,et al.  Characteristics and chemical compositions of particulate matter collected at the selected metro stations of Shanghai, China. , 2014, The Science of the total environment.

[19]  Ki-Hyun Kim,et al.  Characterization of Fine Particulate Matter and Associations between Particulate Chemical Constituents and Mortality in Seoul, Korea , 2012, Environmental health perspectives.

[20]  María Cruz Minguillón,et al.  Subway platform air quality: Assessing the influences of tunnel ventilation, train piston effect and station design , 2014 .

[21]  E. Seto,et al.  A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China. , 2015, Environmental pollution.

[22]  Dong-Uk Park,et al.  Characteristics of PM10, PM2.5, CO2 and CO monitored in interiors and platforms of subway train in Seoul, Korea. , 2008, Environment international.

[23]  Jing Huang,et al.  Comparisons of personal exposure to PM2.5 and CO by different commuting modes in Beijing, China. , 2012, The Science of the total environment.

[24]  George D. Thurston,et al.  Black Carbon and Particulate Matter (PM2.5) Concentrations in New York City’s Subway Stations , 2014, Environmental science & technology.

[25]  N Künzli,et al.  Public-health impact of outdoor and traffic-related air pollution: a European assessment , 2000, The Lancet.

[26]  Burcu Onat,et al.  PM10 concentrations and the size distribution of Cu and Fe-containing particles in Istanbul's subway system , 2012 .

[27]  Jhih-Wei Yan,et al.  Comparisons of PM10, PM2.5, Particle Number, and CO2 Levels inside Metro Trains Traveling in Underground Tunnels and on Elevated Tracks , 2012 .

[28]  S. Zou,et al.  Exposure level of carbon monoxide and respirable suspended particulate in public transportation modes while commuting in urban area of Guangzhou, China , 2002 .

[29]  C. Sioutas,et al.  Particulate matter (PM) concentrations in underground and ground-level rail systems of the Los Angeles Metro , 2011 .

[30]  S Tokarek,et al.  An Exemple of Particle Concentration Reduction in Parisian Subway Stations by Electrostatic Precipitation , 2006, Environmental technology.

[31]  Constantinos Sioutas,et al.  Spatial and Temporal Variability of Coarse (PM10−2.5) Particulate Matter Concentrations in the Los Angeles Area , 2010 .

[32]  Joseph Zayed,et al.  Manganese concentrations in the air of the Montreal (Canada) subway in relation to surface automobile traffic density. , 2006, The Science of the total environment.

[33]  Inger Odnevall Wallinder,et al.  Characterisation of nano- and micron-sized airborne and collected subway particles, a multi-analytical approach. , 2012, The Science of the total environment.

[34]  J. Fernández-Ruiz,et al.  Whole-brain connectivity analysis and classification of spinocerebellar ataxia type 7 by functional MRI , 2014, Cerebellum & Ataxias.

[35]  B. Wang,et al.  Concentrations, properties, and health risk of PM2.5 in the Tianjin City subway system , 2016, Environmental Science and Pollution Research.

[36]  Azam Sadat Delbari,et al.  CONCENTRATION AND CHARACTERIZATION OF AIRBORNE PARTICLES IN TWO SUBWAY SYSTEMS OF ISLAMIC REPUBLIC OF IRAN AND INDIA , 2016 .

[37]  Roy M. Harrison,et al.  Sources and processes affecting concentrations of PM10 and PM2.5 particulate matter in Birmingham (U.K.) , 1997 .