A Universal Scale of Apparent Temperature

Steadman, Robert G.

doi:10.1175/1520-0450(1984)023<1674:ausoat>2.0.co;2

Cited by 636 publications

(420 citation statements)

References 1 publication

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“…While temperature can to some extent represent how comfortable a weather condition is for outdoor activities and travel; other weather factors, particularly humidity and wind, may impose additional influence on the level of thermal comfort (or discomfort) felt by individuals (Nguyen, Schwartz, & Dockery, 2014;Steadman, 1984). For example, high humidity can amplify the feeling of heat stress during hot weather, while the onset of wind may have the opposite (cooling) effect.…”

Section: Datacontrasting

confidence: 94%

Mapping spatial patterns of bus usage under varying local temperature conditions

Corcoran

Sui

2017

Journal of Maps

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Weather influences our daily travel decisions in a number of important ways. At the individual scale, weather has been shown to influence trip-making behaviours where inclement conditions can induce re-scheduling, re-routing and cancellation of a planned journey. Furthermore at the transit system-level, poor weather can increase traffic congestion and reduce operational efficiencies. While some research has examined the weather-transit relationship, focus on the spatial dimension remain in their infancy. In this paper we adopt a visual analytic approach to spatially explore the complex weather-transit relationship at a micro geographical scale. We demonstrate that through spatially integrating a large disaggregate smart card database of bus ridership with hourly local weather measurements we can reveal how 'heat stress' changes the way in which passengers use the public transit system in subtropical Brisbane, Australia. Our approach has the potential for broader application across other public and private transport and climatic contexts to unveil the way in which weather influences our daily travel behaviour. ARTICLE HISTORY

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Section: Datacontrasting

confidence: 94%

Mapping spatial patterns of bus usage under varying local temperature conditions

Corcoran

Sui

2017

Journal of Maps

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“…Following Scott et al (2004), the thermal comfort is no longer measured by the "new effective temperature" (Gagge et al 1971) but instead by the "apparent temperature" (Steadman 1984). In addition, the original "wind chill Extremely unfavourable < 10 Impossible index" (Siple and Passel 1945) used for one of the four wind rating schemes suffers from some serious shortcomings and was replaced by the wind chill equivalent temperature (Osczevski and Bluestein 2005).…”

Section: The Adjusted Tourism Climatic Indexmentioning

confidence: 99%

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

2010

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Climate is an important resource for many types of tourism. One of several metrics for the suitability of climate for sightseeing is Mieczkowski's "Tourism Climatic Index" (TCI), which summarizes and combines seven climate variables. By means of the TCI, we analyse the present climate resources for tourism in Europe and projected changes under future climate change. We use daily data from five regional climate models and compare the reference period to the A2 scenario in 2071-2100. A comparison of the TCI based on reanalysis data and model simulations for the reference period shows that current regional climate models capture the important climatic patterns. Currently, climate resources are best in Southern Europe and deteriorate with increasing latitude and altitude. With climate change the latitudinal band of favourable climate is projected to shift northward improving climate resources in Northern and Central Europe in most seasons. Southern Europe's suitability for sightseeing tourism drops strikingly in the summer holiday months but is partially compensated by considerable improvements between October and April.

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“…The data was collected between 0700 and 1900 h each day at 10-min intervals with the total N of 292. (Steadman, 1984). The following formula is applied in the calculation as follows:…”

Section: Microclimate Conditionmentioning

confidence: 99%

“…The vapour pressure, e is calculated from air temperature and relative humidity using the Equation 3 (Steadman, 1984). e = RH/100 x 6.105 x EXP(17.27 x Ta/(237.7+Ta)) (3) where RH is Relative Humidity (%).…”

Section: Microclimate Conditionmentioning

confidence: 99%

Adaptive Outdoor Thermal Comfort at an Urban Park in Malaysia

Nasir

Ahmad

Zain-Ahmed

2018

AjBeS

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This paper clarifies the perceptive and adaptive mechanisms involved in an outdoor thermal comfort in hot, and humid condition. The method of the study was through microclimate measurement coupled with structured interviews of urban park users. The objective of this study is to identify the impacts of weather and personal factors on respondents' perceptual and sensation estimations. The findings on the significant influences of microclimate parameters and personal factors on the participants' perceptions of outdoor urban places are discussed. This study shows the respondents' thermal adaptation from physiological and psychological perspectives. The significance of the findings showed the importance of a sustainable urban park for continued use by future communities.

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A Universal Scale of Apparent Temperature

Cited by 636 publications

References 1 publication

Mapping spatial patterns of bus usage under varying local temperature conditions

Mapping spatial patterns of bus usage under varying local temperature conditions

Future climate resources for tourism in Europe based on the daily Tourism Climatic Index

Adaptive Outdoor Thermal Comfort at an Urban Park in Malaysia

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