Assessing the Effects of Weather Conditions on Physical Activity Participation Using Objective Measures

Chan, Catherine B.; Ryan, David L.

doi:10.3390/ijerph6102639

Cited by 218 publications

(168 citation statements)

References 51 publications

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“…The first point that the current literature failed to consider is the effect of ambient temperature and humidity on occupant behavior in commercial buildings. Occupancy energy-use behavior varies according to weather conditions [73,150]. Individual occupant's behaviors may have a larger impact on energy consumption in hot-dry climates than in mild-humid ones [8].…”

Section: Overview Of Current Approachesmentioning

confidence: 99%

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

2015

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Abstract:Buildings currently account for 30-40 percent of total global energy consumption. In particular, commercial buildings are responsible for about 12 percent of global energy use and 21 percent of the United States' energy use, and the energy demand of this sector continues to grow faster than other sectors. This increasing rate therefore raises a critical concern about improving the energy performance of commercial buildings. Recently, researchers have investigated ways in which understanding and improving occupants' energy-consuming behaviors could function as a cost-effective approach to decreasing commercial buildings' energy demands. The objective of this paper is to present a detailed, up-to-date review of various algorithms, models, and techniques employed in the pursuit of understanding and improving occupants' energy-use behaviors in commercial buildings. Previous related studies are introduced and three main approaches are identified: (1) monitoring occupant-specific energy consumption; (2) Simulating occupant energy consumption behavior; and (3) improving occupant energy consumption behavior. The first approach employs intrusive and non-intrusive load-monitoring techniques to estimate the energy use of individual occupants. The second approach models diverse characteristics related to occupants' energy-consuming behaviors in order to assess and predict such characteristics' impacts on the energy performance of commercial buildings; this approach mostly utilizes agent-based modeling techniques to simulate actions and interactions between occupants and their built environment. The third approach employs occupancy-focused interventions to change OPEN ACCESSEnergies 2015, 8 10997 occupants' energy-use characteristics. Based on the detailed review of each approach, critical issues and current gaps in knowledge in the existing literature are discussed, and directions for future research opportunities in this field are provided.

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Section: Overview Of Current Approachesmentioning

confidence: 99%

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

2015

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“…Furthermore, a study consisting of 41 older Japanese people (above 70 years) revealed that the number of steps taken per day decreased with increasing precipitation 23 , as well as for another study 7 . We could not confirm that precipitation was the most influential on PA of all the weather variables, as suggested previously 10 , because different influences were found for each age and gender group.…”

Section: Discussionmentioning

confidence: 57%

“…A review by Chan et al 10 focused on the effects of weather conditions on PA and categorised studies into two groups: studies that used season as a weather indicator and studies that objectively measured climatological conditions. Of the 24 studies reviewed, 16 used season as a climate indicator, and the other 8 examined the effects of weather (isolated weather indicators) on PA.…”

Section: Introductionmentioning

confidence: 99%

Influence of weather variables on physical activity assessed by accelerometry across age and gender groups

Bento

Morgado

Leitão³

et al. 2015

Rev Bras Ativ Fís Saúde

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The purpose of this research was to study the effects of weather on physical activity and compliance to minimum physical activity recommendations. Participants included 257 women and 178 men. Time spent in physical activity, average daily steps, and weather variables were gathered and analysed to explore the influence of weather on PA and compliance with the PA recommendations. In result, environmental factors may have a weak influence in an individual will to engage in PA, and individuals highly committed to an active lifestyle (based on the number of steps taken per day) did not seem to be influenced by any of the weather variables. To conclude, considering the known barriers to an active lifestyle, this information is markedly important since engaging in physical activity on a day-to-day basis may be of extreme relevance to the maintenance of a healthy status, especially in the elderly. Keywords PAlAvrAs-chAveAcelerometria; Atividade física; Clima; Adultos.Weather and physical activity across age and gender 37

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“…Drawing on the computation method, some scholars have reported a significant association between apparent temperature and outdoor activity, such as taking an outdoor walk (e.g. Chan & Ryan, 2009). However, few studies have examined the impact of this heat stress index on travel by public transport.…”

Section: Datamentioning

confidence: 99%

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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Assessing the Effects of Weather Conditions on Physical Activity Participation Using Objective Measures

Cited by 218 publications

References 51 publications

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

Influence of weather variables on physical activity assessed by accelerometry across age and gender groups

Mapping spatial patterns of bus usage under varying local temperature conditions

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