Heat and park attendance: Evidence from “small data” and “big data” in Hong Kong

[1]  T. Dogan,et al.  How The Urban Microclimate And Outdoor Thermal Comfort Can Affect Intra-City Mobility Patterns: Evidence From New York City , 2022, 2022 Annual Modeling and Simulation Conference (ANNSIM).

[2]  Guifeng Han,et al.  Influence of thermal comfort of green spaces on physical activity: Empirical study in an urban park in Chongqing, China , 2022, Building and Environment.

[3]  Pui Kwan Cheung,et al.  Space poverty driving heat stress vulnerability and the adaptive strategy of visiting urban parks , 2022, Cities.

[4]  Tzu-Ping Lin,et al.  A systematic review advocating a framework and benchmarks for assessing outdoor human thermal perception. , 2022, The Science of the total environment.

[5]  Lishuai Li,et al.  How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong , 2022, Transport Policy.

[6]  Linchuan Yang,et al.  Variations in outdoor thermal comfort in an urban park in the hot-summer and cold-winter region of China , 2021, Sustainable Cities and Society.

[7]  Yongchuan Yang,et al.  How thermal conditions affect the spatial-temporal distribution of visitors in urban parks: a case study in Chongqing, China , 2021, Urban Forestry & Urban Greening.

[8]  Luis Roman Carrasco,et al.  Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area , 2021, Scientific Reports.

[9]  D. Haase,et al.  Impact of summer heat on urban park visitation, perceived health and ecosystem service appreciation , 2021 .

[10]  D. Richards,et al.  Does geo-located social media reflect the visit frequency of urban parks? A city-wide analysis using the count and content of photographs , 2020 .

[11]  P. Jones,et al.  Heat stress and outdoor activities in open spaces of public housing estates in Hong Kong: A perspective of the elderly community , 2020, Indoor and Built Environment.

[12]  R. Hamdi,et al.  Intra-urban differences of outdoor thermal comfort in Ghent on seasonal level and during record-breaking 2019 heat wave , 2020 .

[13]  Florian Pappenberger,et al.  ERA5‐HEAT: A global gridded historical dataset of human thermal comfort indices from climate reanalysis , 2020, Geoscience Data Journal.

[14]  Weiwei Liu,et al.  A comprehensive review of thermal comfort studies in urban open spaces. , 2020, The Science of the total environment.

[15]  B. Hong,et al.  Outdoor thermal benchmarks and their application to climate‒responsive designs of residential open spaces in a cold region of China , 2020 .

[16]  D. Lai,et al.  Quantification of the influence of thermal comfort and life patterns on outdoor space activities , 2020, Building Simulation.

[17]  D. Richards,et al.  Using social media user attributes to understand human–environment interactions at urban parks , 2020, Scientific Reports.

[18]  K. Steemers,et al.  Outdoor thermal comfort and summer PET range: A field study in tropical city Dhaka , 2019, Energy and Buildings.

[19]  Fabian Flöck,et al.  Demographic Inference and Representative Population Estimates from Multilingual Social Media Data , 2019, WWW.

[20]  Pui Kwan Cheung,et al.  Improved assessment of outdoor thermal comfort: 1-hour acceptable temperature range , 2019, Building and Environment.

[21]  Michael Sinclair,et al.  Passive crowdsourcing of social media in environmental research: A systematic map , 2019, Global Environmental Change.

[22]  Dino P. Christenson,et al.  Recruiting large online samples in the United States and India: Facebook, Mechanical Turk, and Qualtrics , 2018, Political Science Research and Methods.

[23]  Mustafa Coskun,et al.  #europehappinessmap: A Framework for Multi-Lingual Sentiment Analysis via Social Media Big Data (A Twitter Case Study) , 2018, Inf..

[24]  Katy I. Gero,et al.  Biometeorological indices explain outside dwelling patterns based on Wi-Fi data in support of sustainable urban planning , 2017 .

[25]  Chaobin Zhou,et al.  Outdoor thermal environments and activities in open space: An experiment study in humid subtropical climates , 2016 .

[26]  J. Brownstein,et al.  A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives , 2014, Journal of medical Internet research.

[27]  Jianxiang Huang,et al.  CityComfort+: A simulation-based method for predicting mean radiant temperature in dense urban areas , 2014 .

[28]  Nyuk Hien Wong,et al.  A comparative analysis of human thermal conditions in outdoor urban spaces in the summer season in Singapore and Changsha, China , 2013, International Journal of Biometeorology.

[29]  V. Cheng,et al.  Urban human thermal comfort in hot and humid Hong Kong , 2012 .

[30]  Andreas Matzarakis,et al.  Quantification of the effect of thermal indices and sky view factor on park attendance , 2012 .

[31]  Roland B. Stull,et al.  Wet-Bulb Temperature from Relative Humidity and Air Temperature , 2011 .

[32]  Y. Epstein,et al.  Comparison of UTCI to selected thermal indices , 2011, International Journal of Biometeorology.

[33]  Olga V. Wilhelmi,et al.  Connecting people and place: a new framework for reducing urban vulnerability to extreme heat , 2010 .

[34]  Jon M. Kleinberg,et al.  Mapping the world's photos , 2009, WWW '09.

[35]  P. Höppe,et al.  The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment , 1999, International journal of biometeorology.

[36]  L A Kuehn,et al.  Theory of the globe thermometer. , 1970, Journal of applied physiology.

[37]  C. P. Yaglou,et al.  Control of heat casualties at military training centers. , 1957, A.M.A. archives of industrial health.

[38]  P. Moran.  Notes on continuous stochastic phenomena. , 1950, Biometrika.

[39]  Yanliu Lin.  Social media for collaborative planning: A typology of support functions and challenges , 2022, Cities.

[40]  S. Lenzholzer,et al.  Towards guidelines for designing parks of the future , 2017 .

[41]  H. Hutter,et al.  Elderly resident’s uses of and preferences for urban green spaces during heat periods , 2017 .

[42]  Kang-Ting Tsai,et al.  Effects of thermal comfort and adaptation on park attendance regarding different shading levels and activity types , 2013 .

[43]  George Havenith,et al.  An introduction to the Universal Thermal Climate Index (UTCI) , 2013 .

[44]  George Havenith,et al.  UTCI—Why another thermal index? , 2011, International Journal of Biometeorology.

[45]  Curt Tagtmeier,et al.  » Facebook vs. Twitter: Battle of the Social Network Stars , 2010 .

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

[47]  Koen Steemers,et al.  Thermal comfort in outdoor urban spaces: understanding the human parameter , 2001 .

[48]  R. Dear,et al.  An outdoor thermal comfort index (OUT_SET^*) : Part I-The model and its assumptions , 1999 .

[49]  L. Berglund,et al.  A standard predictive index of human response to the thermal environment , 1986 .