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Calum Sharp

Researcher at University of Salford

Publications -  18
Citations -  153

Calum Sharp is an academic researcher from University of Salford. The author has contributed to research in topics: Annoyance & Agency (philosophy). The author has an hindex of 5, co-authored 17 publications receiving 123 citations. Previous affiliations of Calum Sharp include ARUP Laboratories & University of Manchester.

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Effect of situational, attitudinal and demographic factors on railway vibration annoyance in residential areas.

TL;DR: It was found that annoyance scores were strongly influenced by two attitudinal factors: Concern of property damage and expectations about future levels of vibration, which indicate that future railway vibration policies and regulations focusing on community impact need to consider additional factors for an optimal assessment of railway effects on residential environments.
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Exposure-response relationships for annoyance due to freight and passenger railway vibration exposure in residential environments

TL;DR: The results indicate that people are able to distinguish between freight and passenger railway vibration, and that the annoyance response due to freight railway vibration is significantly higher than that due to passenger railway vibrations, even for equal levels of exposure.
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Modelling wheat breakage during roller milling using the Double Normalised Kumaraswamy Breakage Function: Effects of kernel shape and hardness

TL;DR: In this paper, the effects of wheat properties on breakage during first break roller milling, as described by the Double Normalized Kumaraswamy Breakage Function (DNKBF), were investigated.
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Guidance for new policy developments on railway noise and vibration

TL;DR: In this article, the authors investigated the impact of railway noise and vibration on the human response to vibration in residential environments and found that neglecting vibrations results in an underestimation of people highly annoyed by railway noise.
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Assessing the exposure-response relationship of sleep disturbance and vibration in field and laboratory settings.

TL;DR: The presented combined data set provides a first set of exposure response relationships for vibration-induced sleep disturbance, which are useful when considering public health outcomes among exposed populations.