Sport participation behaviours of spectators attending major sports events and event induced attitudinal changes towards sport

Purpose: Evidence of the link between major sports events and increased participation at grassroots level is somewhat mixed. This paper examines attitudinal changes to sport participation among spectators associated with seven sports events held in Great Britain in 2014. Approach: Primary data was gathered from 4,590 spectators aged 16 and over who attended one of the events. Both positive (inspiration) effects and negative (discouragement) effects were considered through the lens of the Transtheoretical Model (TTM). Findings: The evidence from this research indicates that event audiences belong primarily to the latter (more active) stages of the TTM. It was also found that attending sports events can further fuel the existing desire of contemplators to increase participation, whereas the catalytic effect among pre-contemplators is arguably less potent. Virtually no discouragement effects were observed across the different TTM stages. Research limitations: The research stops short of measuring actual changes in sport participation post-event of individuals in the different TTM stages and any attribution of such behaviour changes to events. This is both a limitation of the current research and a natural direction for future research. Practical implications: The main implications for promoting sport participation through the medium of sports events include attracting more people in the early stages of the TTM, greater collaboration between different event stakeholders and the building of sport participation strategies into the event planning phase. Originality: Models of behaviour change such as the TTM have seldom been applied to document the current and/or planned sport participation behaviour of individuals in a sport event context or to examine attitudinal changes towards sport as a result of attending an event. An adapted version of the TTM has been proposed to overcome the limitations of the traditional model

Design Optimization for Solar Array of Multiple Collector Types

Methodology is presented for optimizing solar arrays used for heating fluids from ambient to elevated temperatures. The optimal array consists of the appropriate combination of available collector types which delivers the most energy per dollar invested in the array. An example optimization is presented and verified using computer simulation of numerous combinations of collector types

Estimating Hourly Solar Radiation for One-Axis Tracking Focusing Collectors

Performance simulations of focusing parabolic collectors are hampered by a limited amount of useful insolation data. Hourly values of total radiation on a horizontal surface are the most common data available from the National Oceanographic & Atmospheric Administration. This paper develops a method to convert this total horizontal radiation to direct radiation on the surface of the tracking collector

Limited or lasting legacy? : the effect of non-mega sport event attendance on participation

Research question: It is often claimed by event promoters that hosting major sports events will inspire increased participation at grass-roots level. However, evidence of this linkage is scarce. This paper addresses the research gap by examining the legacy effect of ‘non-mega’ events on the sport participation levels of those who attend them. Research methods: Data gathered using a combination of face-to-face and online surveys with spectators during and following their attendance at one of nine events, held in England between 2010 and 2012, yielded 434 matched responses. Results and findings: The analysis revealed different types of increases in post-event participation behaviour of both previously active and inactive respondents, including ‘initial’, ‘sustained’ and ‘lagged’ effects. However, attributing causality for these positive changes in activity behaviour to a single event is problematic due to the range of other factors that audiences may experience with the passage of time, including other events. Implications: The key implication of the research for management practice is that major sport events can have a positive market penetration effect but market development effects are as yet unproven.</p

Membership of English Sport Clubs: a Dynamic Panel Data Analysis of the Trickle-Down Effect

[Abstract] Investments in elite sport and major sporting events are often justified in sport policy by various rationales, one of which is a ‘trickle-down’ effect whereby successful athletes have a positive impact on general sport participation rates. This effect is likely to be greater when hosting events, as home advantage can contribute to sporting success. The purpose of this research is to explore the possibility of a trickle-down effect on sports club membership in the United Kingdom in the context of the 2012 London Olympic Games. Secondary data were collected on sports club membership levels in 33 sports, over a ten-year period, from 2007–2016 (n = 330). Sporting success was measured by the number of gold medals won in international competitions, the number of major sport events hosted in the UK, and the results of the BBC’s Sports Personality of the Year award (SPOTY). The outcomes of a dynamic panel regression analysis show a causal relationship between the trickle-down effect and sports club membership over a four-year period

"Обратная" переходность среди частей речи как актуализация внутренней формы слова

В статье рассматривается специфика внутренней формы синтаксических дериватов, которую предлагается обозначить термином "грамматикализованная". На примере существительных адъективного склонения, наречий/наречных выражений и отглагольных прилагательных анализируется механизм речевой "обратной" морфолого-синтаксической транспозиции, в основе которого лежит инициируемая внутренней формой транспозитов и квазитранспозитов грамматическая рефлексия говорящих.У статті розглядається специфіка внутрішньої форми синтаксичних деріватов, яку пропонується позначити терміном "граматикалізована". На прикладі іменників ад'єктивного відміни, наречий/наречных виразів і віддієслівних прикметників аналізується механізм мовної "зворотної" морфолого-синтаксичної транспозиції, в основі якого лежить ініційована внутрішньою формою транспозітів і квазітранспозітов граматична рефлексія говорючих.The article examines the specificity of internal form of syntactic derivatives, which is to be named as "grammaticalized" one. By the example of substantives of adjective declension model, adverbs/adverb expressions and verbal adjectives, the author analyzes the mechanism of speech "reverse" morphological-syntactic transposition, and it is speaker grammatical reflexion initiated by internal form of transposites and "quasi-transposites" what underlies this mechanism

Particulate-Matter Emission Estimates from Agricultural Spring-Tillage Operations Using LIDAR and Inverse Modeling

Particulate-matter (PM) emissions from a typical spring agricultural tillage sequence and a strip–till conservation tillage sequence in California’s San Joaquin Valley were estimated to calculate the emissions control efficiency (η) of the strip–till conservation management practice (CMP). Filter-based PM samplers, PM-calibrated optical particle counters (OPCs), and a PM-calibrated light detection and ranging (LIDAR) system were used to monitored upwind and downwind PM concentrations during May and June 2008. Emission rates were estimated through inverse modeling coupled with the filter and OPC measurements and through applying a mass balance to the PM concentrations derived from LIDAR data. Sampling irregularities and errors prevented the estimation of emissions from 42% of the sample periods based on filter samples. OPC and LIDAR datasets were sufficiently complete to estimate emissions and the strip–till CMP η, which were ∼90% for all size fractions in both datasets. Tillage time was also reduced by 84%. Calculated emissions for some operations were within the range of values found in published studies, while other estimates were significantly higher than literature values. The results demonstrate that both PM emissions and tillage time may be reduced by an order of magnitude through the use of a strip–till conservation tillage CMP when compared to spring tillage activities

Lidar Based Emissions Measurement at the Whole Facility Scale: Method and Error Analysis

Particulate emissions from agricultural sources vary from dust created by operations and animal movement to the fine secondary particulates generated from ammonia and other emitted gases. The development of reliable facility emission data using point sampling methods designed to characterize regional, well-mixed aerosols are challenged by changing wind directions, disrupted flow fields caused by structures, varied surface temperatures, and the episodic nature of the sources found at these facilities. We describe a three-wavelength lidar-based method, which, when added to a standard point sampler array, provides unambiguous measurement and characterization of the particulate emissions from agricultural production operations in near real time. Point-sampled data are used to provide the aerosol characterization needed for the particle concentration and size fraction calibration, while the lidar provides 3D mapping of particulate concentrations entering, around, and leaving the facility. Differences between downwind and upwind measurements provide an integrated aerosol concentration profile, which, when multiplied by the wind speed profile, produces the facility source flux. This approach assumes only conservation of mass, eliminating reliance on boundary layer theory. We describe the method, examine measurement error, and demonstrate the approach using data collected over a range of agricultural operations, including a swine grow-finish operation, an almond harvest, and a cotton gin emission study

Integrating Lidar and Atmospheric Boundary Layer Measurements to Determine Fluxes and Dynamics of Particulate Emissions from an Agriculture Facility

Lidar technology offers the ability to quantify concentrations of small particulates in the atmosphere in certain ranges of time and space. While this is a valuable tool to visualize the behavior of plumes emitted from the surface, the actual flux of particles cannot be estimated from such data alone. To determine the mass flux of particles, the concentrations must be properly integrated with wind and turbulence properties. The goal of this study is to utilize a model that uses wind and particle density information to calculate the flux of particles from an animal facility near Ames, Iowa. The model is a simplified conservation equation for particle density in the atmosphere. This approach essentially quantifies fluxes in and out of a box centered over the facility and estimates the surface source by assuming conservation of mass. In addition, we hypothesize that distinct turbulence structures will sometimes interact with the intermittency of the surface emission from the buildings, resulting in episodic changes in emission fluxes from the site. A second objective involves documenting how intermittent the emission plumes are and how they are connected to periodic large scale turbulence events. Lidar data of particle size and density in the vicinity of the site were collected during an intensive field campaign lasting nearly 2 weeks. In addition to the lidar data, turbulence data were measured at several levels on each of three towers, located upwind, inside and downwind of the source area. The model requires measurements of the vertical profiles of both concentrations of particulates and the mean horizontal wind. The concentrations were measured using the lidar, while winds were measured using a combination of cup anemometers and sonic anemometers. This allows the emission fluxes to be calculated during 15 to 30 minute periods when winds are consistent. Flux calculations await the final calibration of the lidar returns using measured particle densities. Flux estimates will be made when distinct plumes are observed under steady-state wind conditions. Current results are presented showing evidence of episodic plumes of CO2 in response to intermittent vertical motions of turbulences

Aglite Lidar: A Portable Elastic Lidar System for Investivating Aerosol and Wind Motions at or Around Agricultural Production Facilities

The Aglite Lidar is a portable scanning lidar that can be quickly deployed at agricultural and other air quality study sites. The purpose of Aglite is to map the concentration of PM10 and PM2.5 in aerosol plumes from agricultural and other sources. Aglite uses a high-repetition rate low-pulse energy 3-wavelength YAG laser with photon-counting detection together with a steerable pointing mirror to measure aerosol concentration with high spatial and temporal resolution. Aglite has been used in field campaigns in Iowa, Utah and California. The instrument is described, and performance and lidar sensitivity data are presented. The value of the lidar in aerosol plume mapping is demonstrated, as is the ability to extract wind-speed information from the lidar dat