Assessment of visitors' thermal comfort based on physiologically equivalent temperature in open urban areas

Abstract Thermal sensation of visitors is very important factor for open urban spaces for physiological, psychological and behavioral conditions of the visitors. Therefore in this article thermal sensation of the visitors in open urban spaces is investigated. For such a purpose physical data are used and questionnaire study as well. Sensitivity analysis is performed on the thermal sensation of the visitors based on different factors. ANFIS (adaptive neuro fuzzy inference system) methodology is applied for the analysis. The main ability of the methodology is its adaptive behavior. The main goal is to investigate how the visitors use the open urban areas for their activity. Results are shown that the temperature and solar radiation are the factors with the highest impact on the visitors' thermal sensation in the open urban spaces.

[1]  Liang Chen,et al.  Outdoor thermal comfort and outdoor activities: A review of research in the past decade , 2012 .

[2]  H. Mayer,et al.  Modelling radiation fluxes in simple and complex environments—application of the RayMan model , 2007, International journal of biometeorology.

[3]  Thermal comfort and urban canyons morphology in coastal temperate climate, Concepción, Chile , 2016 .

[4]  Zhang Yi,et al.  Fuzzy SVM with a new fuzzy membership function , 2006, Neural Computing & Applications.

[5]  L. Katzschner,et al.  Thermal comfort comparison and evaluation in different climates , 2016 .

[6]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[7]  K. Cena,et al.  Thermal comfort and behavioural strategies in office buildings located in a hot-arid climate , 2001 .

[8]  Madhavi Indraganti,et al.  Effect of age, gender, economic group and tenure on thermal comfort: A field study in residential buildings in hot and dry climate with seasonal variations , 2010 .

[9]  Ken Parsons,et al.  Human Thermal Environments: The Effects of Hot, Moderate, and Cold Environments on Human Health, Comfort and Performance , 1999 .

[10]  Hazim B. Awbi,et al.  Building cluster and shading in urban canyon for hot dry climate , 2004 .

[11]  H. Nezamabadi-pour,et al.  Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams , 2013 .

[12]  Martin Tenpierik,et al.  Outdoor thermal comfort within five different urban forms in the Netherlands , 2015 .

[13]  B Griefahn,et al.  The effects of gender, age, and fatigue on susceptibility to draft discomfort , 2001 .

[14]  T R Holford,et al.  A stepwise variable selection procedure for nonlinear regression models. , 1980, Biometrics.

[15]  Fazia Ali-Toudert,et al.  Effects of asymmetry, galleries, overhanging façades and vegetation on thermal comfort in urban street canyons , 2007 .

[16]  Kazuyuki Kanosue,et al.  Thermal regulation and comfort during a mild-cold exposure in young Japanese women complaining of unusual coldness. , 2002, Journal of applied physiology.

[17]  N. Sulong,et al.  Prediction of shear capacity of channel shear connectors using the ANFIS model , 2014 .

[18]  Kattia Villadiego,et al.  Outdoor thermal comfort in a hot and humid climate of Colombia: A field study in Barranquilla , 2014 .

[19]  S. Karjalainen.  Gender differences in thermal comfort and use of thermostats in everyday thermal environments , 2007 .

[20]  Martin T. Hagan,et al.  Neural network design , 1995 .

[21]  Jianqing Fan,et al.  Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .

[22]  Hugo Guterman,et al.  An adaptive neuro-fuzzy system for automatic image segmentation and edge detection , 2002, IEEE Trans. Fuzzy Syst..

[23]  Detlef Nauck,et al.  Foundations Of Neuro-Fuzzy Systems , 1997 .

[24]  Junta Nakano,et al.  Differences in perception of indoor environment between Japanese and non-Japanese workers , 2002 .

[25]  J. Mendel.  Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .

[26]  Suprava Patnaik,et al.  Thermal comfort in urban open spaces: Objective assessment and subjective perception study in tropical city of Bhopal, India , 2017 .

[27]  Veronica Soebarto,et al.  Thermal comfort and occupant responses during summer in a low to middle income housing development in South Australia , 2014 .

[28]  A. Dimoudi,et al.  The influence of bioclimatic urban redevelopment on outdoor thermal comfort , 2018 .

[29]  Edward Ng,et al.  Outdoor thermal comfort study in a sub-tropical climate: a longitudinal study based in Hong Kong , 2011, International Journal of Biometeorology.

[30]  Tetsumi Horikoshi,et al.  Evaluation of outdoor thermal comfort in sunlight, building shade, and pergola shade during summer in a humid subtropical region , 2014 .