531 research outputs found

    Citizen science for environmental citizenship

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    Citizen science projects, in which citizens are collectors and sensors generating data, have become a well-established scientific practice (Bonney et al. 2016). Citizen science research within environmental conservation typically focuses on either the usability of citizen-generated data or individual motivation for involvement (Kobori et al. 2016; Ellwood et al. 2017; McKinley et al. 2017). The 10 principles of citizen science (ECSA 2015) identify possible benefits to citizen scientists as publications, learning, enjoyment, satisfaction, and policy influence. Notably, changes in attitude and values beyond the scientific realm are absent from this list. In short, although the ability of citizen science to transform scientific practice is well known, the potential for citizen science to transform the citizen needs further elaboration. We propose that the social capacity potential of citizen science extends far beyond collecting data. We suggest that involvement in citizen science activities can cultivate environmental citizenship and change attitudes if projects are intentionally designed to do so. This is an opportunity for conservation biologists to engage with citizen scientists on a different level.publishedVersio

    Walking and Worlding : Trails as Storylines in Video Games

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    Video games have grown into a major industry, ranging across a variety of genres that appeal to many kinds of users. No longer a niche phenomenon, video games are part of mainstream popular culture. During the COVID lockdowns of 2020 and 2021, more people than ever turned to video games for entertainment and social interactions.¹ Confined to their homes by lockdowns and restrictions, many embraced video game worlds as complements to, not replacements for, the world outside their homes. Games are not only a way to pass the time, but also a truly meaningful activity to many.publishedVersio

    Welfare consequences of request stops at transport services with low demand

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    Background: Demand-responsive transport is an alternative to fixed-route, fixed-scheduled transport services in low-demand areas. Objective: This paper discusses the welfare and distributional consequences of the implementation of request stops (RSs) on a scheduled fixed-stop transport service. Method: The discussion is based on a general welfare model. The focus is on discussing how the magnitudes of the welfare effects on different groups of travellers are influenced by travel patterns and the characteristics of the travellers involved. Results: The effects of implementing RSs are critically dependent on the booking procedure, the variation in demand throughout the day, and the travellers’ time values per hour when on the mode and when arriving at the destinations before having any appointments. Moreover, the benefits for the operators and the authorities depend strongly on the risk profile in the tendering contract.publishedVersio

    Designing capacity and service level at ferry crossings

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    Valuing the risk and social costs of road traffic accidents – Seasonal variation and the significance of delay costs

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    Author's accepted version (postprint).Available from 05/04/2019

    Using Standardized Revenue and Cost Norm Analyses to Reveal Subsidy Fraud in Contracted Public Transport Services

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    Author's accepted version (postprint).This is an Accepted Manuscript of an article published by Taylor & Francis in Transport Reviews on 20/10/2009, available online: http://wwww.tandfonline.com/10.1080/01441640902986866.In 2004, one of the biggest ferry operators in Norway was found guilty of having intentionally attempted to defraud the state of about 113 million Norwegian kroner in subsidies by underreporting revenues and overstating costs during the period 1992-2002. The company and five of the top managers were convicted and the case was regarded as one of the most serious subsidy offences ever committed in Norway. The aim of this article is to show that standardized revenue and cost norm models from the state can deter operators from committing such offences and when relevant detecting the fraud attempts at an early stage. Our model suggests that the operator in question overstated costs by about 19% and that the actual subsidy fraud attempt was about three times higher than concluded by the Court
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