A comparison of productivity and physical demands during parcel delivery using a standard and a prototype electric courier truck

Hurley, Kevin; Marshall, J.; Hogan, Kelly; Wells, Richard

doi:10.1016/j.ergon.2012.04.003

Cited by 10 publications

(2 citation statements)

References 11 publications

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“…It had been used in several areas of research, such as infant studies (Vogel, Monesson, & Scott, 2012), doctor-patient interaction studies (Zhou, Cameron, Forbes, & Humphris, 2012), or ergonomics research (Hurley, Marshall, Hogan & Wells, 2012). It facilitates the development of coding manuals, the coding of video data, as well as the conduct of inter-rater reliability analyses.…”

Section: Discussionmentioning

confidence: 99%

Interactivity fosters Bayesian reasoning without instruction.

Vallée-Tourangeau¹,

Abadie²,

Vallée-Tourangeau³

2015

Journal of Experimental Psychology: General

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Successful statistical reasoning emerges from a dynamic system including: a cognitive agent, material artefacts with their actions possibilities, and the thoughts and actions that are realized while reasoning takes place. Five experiments provide evidence that enabling the physical manipulation of the problem information (through the use of playing cards) substantially improves statistical reasoning, without training or instruction, not only with natural frequency statements (Experiment 1) but also with single-event probability statements (Experiment 2). Improved statistical reasoning was not simply a matter of making all sets and subsets explicit in the pack of cards (Experiment 3), it was not merely due to the discrete and countable layout resulting from the cards manipulation, and it was not mediated by participants' level of engagement with the task (Experiment 5). The positive effect of an increased manipulability of the problem information on participants' reasoning performance was generalizable both over problems whose numeric properties did not map perfectly onto the cards and over different types of cards (Experiment 4). A systematic analysis of participants' behaviors revealed that manipulating cards improved performance when reasoners spent more time actively changing the presentation layout "in the world" as opposed to when they spent more time passively pointing at cards, seemingly attempting to solve the problem "in their head". Although they often go unnoticed, the action possibilities of the material artefacts available and the actions that are realized on those artefacts are constitutive of successful statistical reasoning, even in adults who have ostensibly reached cognitive maturity.

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Section: Discussionmentioning

confidence: 99%

Interactivity fosters Bayesian reasoning without instruction.

Vallée-Tourangeau¹,

Abadie²,

Vallée-Tourangeau³

2015

Journal of Experimental Psychology: General

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“…Electric mobility is one of the major new developments in personal as well as cargo transport in the context of green logistics (Davis and Figliozzi 2013;Augenstei 2015). This is mainly due to reductions in raw energy consumption and (local) emissions-depending on the production scheme of the used electricity-as well as significant noise reduction especially in urban areas (Pallas et al 2014;Hurley et al 2012). In this context of electric vehicles used in logistics applications for an efficient use of these new propulsion technologies for sustainability and also long-term cost reasons are in high demand.…”

Section: Case Study E-mobilitymentioning

confidence: 99%

Crowdsourcing in Logistics: An Evaluation Scheme

Klumpp

2016

Dynamics in Logistics

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Crowdsourcing concepts are a major development in the context of social media and Industry 4.0 as well as a possible enabler for dynamic logistics processes and concepts. In the light of increasing sustainability, flexibility, and security expectations towards global supply chains, solutions for logistics based on crowdsourcing may be promising-but still the proof of concept is missing for logistics applications in practice. Combined with a theoretical framework for crowdsourcing in logistics, this contribution outlines two case studies for regarding e-mobility, knowledge management in logistics, as well as disaster applications. This could be a supportive approach in developing new business models for real-life intelligent transport systems including customers and multiple stakeholder perspectives.

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