Dataset Information

Managing tourism emissions through optimizing the tourism demand mix: Concept and analysis.

ABSTRACT: Carbon mitigation strategies are an urgent and overdue tourism industry imperative. The tourism response to climate action has been to engage businesses in technology adoption, and to encourage more sustainable visitor behaviour. These strategies however are insufficient to mitigate the soaring carbon footprint of tourism. Building upon the concepts of optimization and eco-efficiency, we put forward a novel carbon mitigation approach, which seeks to pro-actively determine, foster, and develop a long-term tourist market portfolio. This can be achieved through intervening and reconfiguring the demand mix with the fundamental aim of promoting low carbon travel markets. The concept and the analytical framework that quantitatively inform optimization of the desired market mix are presented. Combining the "de-growth" and "optimization" strategies, it is demonstrated that in the case study of Taiwan, great potential exists to reduce emissions and sustain economic yields. The implications for tourism destination managers and wider industry stakeholders are discussed.

SUBMITTER: Sun YY

PROVIDER: S-EPMC7274965 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Managing tourism emissions through optimizing the tourism demand mix: Concept and analysis.

Sun Ya-Yen YY Lin Pei-Chun PC Higham James J

Tourism management 20200606

Carbon mitigation strategies are an urgent and overdue tourism industry imperative. The tourism response to climate action has been to engage businesses in technology adoption, and to encourage more sustainable visitor behaviour. These strategies however are insufficient to mitigate the soaring carbon footprint of tourism. Building upon the concepts of optimization and eco-efficiency, we put forward a novel carbon mitigation approach, which seeks to pro-actively determine, foster, and develop a ...[more]

PMID: 32536740

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Project description:BackgroundThere is a consensus among healthcare providers, academics, and policy-makers that spiraling demand and diminishing resources are threatening the sustainability of the current healthcare system. Different telemedicine services are seen as potential solutions to the current challenges in healthcare. This paper aims to identify how distance monitoring services rendered for patients with chronic conditions can affect the escalating demand for healthcare. First, we identify how distance monitoring service changes the care delivery process using the lens of service cocreation. Next, we analyze how these changes can impact healthcare demand using the literature on demand and capacity management.MethodIn this qualitative study, we explore a distance monitoring service in a primary healthcare setting in Norway. We collected primary data from nurses and general physicians using the semi-structured interview technique. We used secondary patient data collected from a study conducted to evaluate the distance monitoring project. The deductive content analysis method was used to analyze the data.ResultThis study shows that the application of distance monitoring services changes the care delivery process by creating new activities, new channels for interaction, and new roles for patients, general physicians, and nurses. We define patients' roles as proactive providers of health information, general physicians' roles as patient selectors, and nurses' roles as technical coordinators, data workers, and empathetic listeners. Thus, the co-creation aspect of the service becomes more prominent demonstrating potential for better management of healthcare demand. However, these changes also render the management of demand and resources more complex. To reduce the complexities, we propose three mechanisms: foreseeing and managing new roles, developing capabilities, and adopting a system-wide perspective.ConclusionThe main contribution of the paper is that it demonstrates that, although distance monitoring services have the potential to have a positive impact on healthcare demand management, in the absence of adequate managerial mechanisms, they can also adversely affect healthcare demand management. This study provides a means for practitioners to reflect upon and refine the decisions that they make regarding telemedicine deployment and resource planning for delivering care.

Project description:OBJECTIVES:The purpose of this study was to analyze distortion product otoacoustic emission (DPOAE) level and signal to noise ratio in a group of infants from birth to 4 months of age to optimize prediction of hearing status. DPOAEs from infants with normal hearing (NH) and hearing loss (HL) were used to predict the presence of conductive HL (CHL), sensorineural HL (SNHL), and mixed HL (MHL). Wideband ambient absorbance was also measured and compared among the HL types. DESIGN:This is a prospective, longitudinal study of 279 infants with verified NH and HL, including conductive, sensorineural, and mixed types that were enrolled from a well-baby nursery and two neonatal intensive care units in Cincinnati, Ohio. At approximately 1 month of age, DPOAEs (1-8?kHz), wideband absorbance (0.25-8?kHz), and air and bone conduction diagnostic tone burst auditory brainstem response (0.5-4?kHz) thresholds were measured. Hearing status was verified at approximately 9 months of age with visual reinforcement audiometry (0.5-4?kHz). Auditory brainstem response air conduction thresholds were used to assign infants to an NH or HL group, and the efficacy of DPOAE data to classify ears as NH or HL was analyzed using receiver operating characteristic (ROC) curves. Two summary statistics of the ROC curve were calculated: the area under the ROC curve and the point of symmetry on the curve at which the sensitivity and specificity were equal. DPOAE level and signal to noise ratio cutoff values were defined at each frequency as the symmetry point on their respective ROC curve, and DPOAE results were combined across frequency in a multifrequency analysis to predict the presence of HL. RESULTS:Single-frequency test performance of DPOAEs was best at mid to high frequencies (3-8?kHz) with intermediate performance at 1.5 and 2?kHz and chance performance at 1?kHz. Infants with a conductive component to their HL (CHL and MHL combined) displayed significantly lower ambient absorbance values than the NH group. No differences in ambient absorbance were found between the NH and SNHL groups. Multifrequency analysis resulted in the best prediction of HL for the SNHL/MHL group with poorer sensitivity values when infants with CHL were included. CONCLUSIONS:Clinical interpretation of DPOAEs in infants can be improved by using age-appropriate normative ranges and optimized cutoff values. DPOAE interpretation is most predictive at higher F2 test frequencies in young infants (2-8?kHz) due to poor test performance at 1 to 1.5?kHz. Multifrequency rules can be used to improve sensitivity while balancing specificity. Last, a sensitive middle ear measure such as wideband absorbance should be included in the test battery to assess possibility of a conductive component to the HL.

Dataset Information

Managing tourism emissions through optimizing the tourism demand mix: Concept and analysis.

Publications

Managing tourism emissions through optimizing the tourism demand mix: Concept and analysis.

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