ORCID Profile
0000-0001-7888-4609
Current Organisation
University of South Australia
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Publisher: MDPI AG
Date: 31-12-2022
DOI: 10.3390/SU14010412
Abstract: Conciliating nature conservation and tourism development is an increasingly important task for authorities in charge of managing protected areas and requires an adequate knowledge of visitors′ preferences and recreational behavior. In this light, we used data collected by means of a choice experiment to investigate recreational preferences at Dolomiti Bellunesi National Park, a protected area located in Northeastern Italy. More specifically, we analyzed the determinants of visitors’ decisions to engage with different activities in the park. This is important information for park managers, as different recreational activities have both different impact on the natural heritage and different capability to generate revenue for nature conservation and for enhancing the quality of life of local communities. The findings of our study suggest that the choice of recreational activities is mainly driven by the features of recreational sites and by visitors’ personal characteristics. Concerning park features, visitors’ choices seem to be mostly driven by features directly related to each activity, such as thematic trails for hiking and climbing routes for rock climbing. Among visitors′ characteristics, we found that both previous experience with the activity and socio-demographic characteristics had a significant effect on activity choice. Overall, the results of our study can help park authorities in developing management plans aimed specifically at attracting a larger number of visitors of a certain type, which is an important tool to foster the more sustainable forms of tourism.
Publisher: Elsevier BV
Date: 12-2020
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 28-11-2018
Publisher: Elsevier BV
Date: 06-2014
Publisher: IOP Publishing
Date: 07-2011
Publisher: Elsevier BV
Date: 09-2023
Publisher: Springer Science and Business Media LLC
Date: 24-05-2021
Publisher: Elsevier BV
Date: 2016
DOI: 10.2139/SSRN.2790047
Publisher: Springer Science and Business Media LLC
Date: 10-05-2020
Publisher: Elsevier BV
Date: 10-2023
Publisher: Springer International Publishing
Date: 02-07-2019
Publisher: Springer Science and Business Media LLC
Date: 11-2014
Publisher: Australian Housing and Urban Research Institute (AHURI)
Date: 24-03-2022
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 08-2013
Publisher: Springer Science and Business Media LLC
Date: 24-07-2020
Publisher: Elsevier BV
Date: 12-2021
DOI: 10.1016/J.JSR.2021.08.014
Abstract: Safety is a critical factor in promoting sustainable urban non-motorized travel modes like bicycles. Helmets have shown to be effective in reducing injury severity in bicycle crashes, however, their effects on bicyclists' behaviors still requires deeper understanding, especially amid the emerging trend of using shared bicycles. Risk compensation effects suggest that bicyclists may offset perceived gains in safety from wearing a helmet by increasing risk-taking behaviors. A better understanding of these compensation effects can be useful in assessing various bicycle safety related programs. Using a s le of 131 bicyclists from the San Francisco Bay area, this research studies how bicyclists respond with respect to risk-taking behaviors under various urban-street conditions, as a function of helmet use. Study participants were each shown 12 videos, shot in Berkeley, California, from the perspective of a bicyclist riding behind another bicyclist. A fractional factorial experiment design was used to systematically vary contextual attributes (e.g., speed, bike lane facilities, on-street parking, passing vehicles) across the videos. After each video, participants were asked to indicate if they would overtake the bicyclist in the video. With the help of data adaptive estimation techniques, targeted maximum likelihood estimation (TMLE) was applied to estimate the average risk difference between helmeted users and non-users, controlling for self-selection effects. In idual-based nonparametric bootstrap was performed to assess the uncertainty associated with the estimator. Our findings suggest, on average, in iduals more likely to wear a helmet are 15.6% more likely to undertake a risky overtaking maneuver. Practical Applications: This study doesn't try to oppose mandatory helmet laws, but rather serves as a cautionary warning that road safety programs may need to consider strategies in which unintended impact of bicycle helmet use can be mitigated. Moreover, our findings also provide additional evaluation component when it comes to the cost-benefit assessment of helmet-related laws.
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 12-2017
Publisher: Edward Elgar Publishing
Date: 29-08-2014
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 08-2016
No related grants have been discovered for Akshay Vij.