Investigating the effects of two fragrances on cabin comfort in an automotive environment

Work ◽  
2021 ◽  
Vol 68 (s1) ◽  
pp. S101-S110
Author(s):  
Alexandre Gentner ◽  
Giuliano Gradinati ◽  
Carole Favart ◽  
Kojo Sarfo Gyamfi ◽  
James Brusey

BACKGROUND: For passengers in private or public transportation systems, comfort is a major interest. Available comfort models are already used to correlate thermal comfort to influencing factors. However, the available models do not other sensory comfort aspect and specific influences as fragrances and ambient light. OBJECTIVE: This publication investigates the impact of fragrances with “warm” and “cold” associated meanings on thermal and overall comfort perception. METHODS: Human subject trials (n = 47) were performed in different temperature-controlled environments following a 3×3 within-subject design considering ambient fragrance (“neutral scent”, “peppermint”, “orange & cinnamon”) and ambient light as variables. RESULTS: Olfactory comfort is shown to have the larger effect on overall comfort perception, comparable in weight to the one of thermal comfort. The impact observed on thermal sensation was in line with the meanings associated the fragrances, whereas it was positive on thermal comfort appreciation regardless of the type of fragrance diffused. CONCLUSIONS: These initial results suggest that olfactory stimulations have the potential to positively impact thermal and overall comfort. The appreciation of the fragrance appears to have a major impact on these interactions and should be deeply considered in future research and features development.

Inclusion ◽  
2013 ◽  
Vol 1 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Steven E. Stock ◽  
Daniel K. Davies ◽  
Leslie A. Hoelzel ◽  
Rene J. Mullen

Abstract People with intellectual disability often have support needs related to navigating their communities using public transportation. Specialized transportation resources such as paratransit programs or adult service agency transportation are costly and generally non-inclusive. This paper describes a study examining the impact of a GPS-based system called WayFinder operating on mainstream smartphone device on the independent use of public transportation systems by people with intellectual disability. Specifically, the impact of the system on number of training trials for independent navigation of a novel bus route (vs. traditional training procedures) and generalization to another novel route were examined. Additionally, the bus ridership and financial impacts were examined in a city where a provider organization and the public bus system were adopting WayFinder to support people with intellectual disability to access fixed-route bus systems. Implications and recommendations for future research and practice are described.


Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.


Author(s):  
Francesca Di Virgilio ◽  
Angelo A. Camillo ◽  
Isabell C. Camillo

Tourism represents one of the most important industries in the global economy. Medical tourism is not a new phenomenon: mankind has traveled to foreign lands to access treatment for many years. Current research in information and communication technology considerably affects the tourism industry by providing innovative tools capable, on the one hand, of supporting tourists in organizing their holidays and, on the other, of supplying fast and efficient information on tourist destination. Published literature shows that many aspects of medical tourists' behavior are under-researched. One of these aspects is the impact of social media on tourists' behavior for the choice of tourist medical destination, which is the original focus of this research. This paper explores how a social network can become a strategic platform using eWOM (electronic Word of Mouth) as a tool for disseminating fast and detailed information for the choice of medical tourist destination. A survey instrument was used to collect information from Italian active users of a social network: Facebook. Data was solicited from 960 active, experienced users. The findings support the development of medical tourism communication strategies focused on the online contexts as factors capable of influencing medical tourists' behavior in a more efficient way. Implications and future research directions are discussed.


Toxins ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 714 ◽  
Author(s):  
Noureddine Bouaïcha ◽  
Christopher Miles ◽  
Daniel Beach ◽  
Zineb Labidi ◽  
Amina Djabri ◽  
...  

Hepatotoxic microcystins (MCs) are the most widespread class of cyanotoxins and the one that has most often been implicated in cyanobacterial toxicosis. One of the main challenges in studying and monitoring MCs is the great structural diversity within the class. The full chemical structure of the first MC was elucidated in the early 1980s and since then, the number of reported structural analogues has grown steadily and continues to do so, thanks largely to advances in analytical methodology. The structures of some of these analogues have been definitively elucidated after chemical isolation using a combination of techniques including nuclear magnetic resonance, amino acid analysis, and tandem mass spectrometry (MS/MS). Others have only been tentatively identified using liquid chromatography-MS/MS without chemical isolation. An understanding of the structural diversity of MCs, the genetic and environmental controls for this diversity and the impact of structure on toxicity are all essential to the ongoing study of MCs across several scientific disciplines. However, because of the diversity of MCs and the range of approaches that have been taken for characterizing them, comprehensive information on the state of knowledge in each of these areas can be challenging to gather. We have conducted an in-depth review of the literature surrounding the identification and toxicity of known MCs and present here a concise review of these topics. At present, at least 279 MCs have been reported and are tabulated here. Among these, about 20% (55 of 279) appear to be the result of chemical or biochemical transformations of MCs that can occur in the environment or during sample handling and extraction of cyanobacteria, including oxidation products, methyl esters, or post-biosynthetic metabolites. The toxicity of many MCs has also been studied using a range of different approaches and a great deal of variability can be observed between reported toxicities, even for the same congener. This review will help clarify the current state of knowledge on the structural diversity of MCs as a class and the impacts of structure on toxicity, as well as to identify gaps in knowledge that should be addressed in future research.


Atmosphere ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 769 ◽  
Author(s):  
Fabio Fantozzi ◽  
Giulia Lamberti

In previous years, providing comfort in indoor environments has become a major question for researchers. Thus, indoor environmental quality (IEQ)—concerning the aspects of air quality, thermal comfort, visual and acoustical quality—assumed a crucial role. Considering sport facilities, the evaluation of the thermal environment is one of the main issues that should be faced, as it may interfere with athletes’ performance and health. Thus, the necessity of a review comprehending the existing knowledge regarding the evaluation of the thermal environment and its application to sport facilities becomes increasingly relevant. This paper has the purpose to consolidate the aspects related to thermal comfort and their application to sport practice, through a deep study concerning the engineering, physiological, and psychological approaches to thermal comfort, a review of the main standards on the topic and an analysis of the methodologies and the models used by researchers to determine the thermal sensation of sport facilities’ occupants. Therefore, this review provides the basis for future research on the determination of thermal comfort in indoor sport facilities located in moderate environments.


2021 ◽  
Vol 20 ◽  
pp. 160940692110501
Author(s):  
Emilia Aiello ◽  
Teresa Sorde-Marti

Public narrative is a leadership practice of translating values into action. It links the three elements of self, us, and now: why I am called, why we are called, and why we are called to act now. Taught and learned for more than 15 years now through various learning environments (in-person or online courses, in-person or online workshops, etc.), the Narratives4Change research project (H2020, Nr. 841355) aimed at studying how public narrative is being used by individuals as a leadership practice within different domains of practice and across diverse cultural and geographical contexts, as well as what are the impacts achieved. An endeavor never carried before, capturing evidence of impact of public narrative going beyond the usage and transference posed several methodological challenges. To overcome them, we engaged in an on-going process of dialogue with researchers experienced in social impact analysis, and practitioners and leaders well experienced in using public narrative. Drawing on the work done in the framework of the Narratives4Change project, this article explains its methodological design, presenting and discussing two of the strategies adopted to capture the impact dimension, and how they were implemented. On the one hand, the communicative orientation of the mixed-methods research design of the project allowed researchers to empirically grasp the manifold agentic orientations that can be triggered by public narrative. On the other hand, how the Social Impact Open Repository criteria for social impact analysis was incorporated at the time of exploring and deepening into the social reality that was being observed sets us off on an “impact-oriented analytical mindset” that facilitated identifying evidence of impacts. Specific examples of how each of these strategies played out during the methodological design and implementation of the research are discussed, drawing lessons that can also inform the design of future research projects.


2021 ◽  
Vol 246 ◽  
pp. 15003
Author(s):  
Natalia Krawczyk

Nowadays, we spend most of our time inside buildings. Thus, ensuring adequate thermal comfort is an important issue. The paper discusses the issue of thermal comfort assessment in the intelligent low energy building “Energis” of Kielce University of Technology (Poland). The tests conducted in a selected lecture theater focused on collecting anonymous questionnaires containing thermal sensation and air quality votes of the respondents as well as performing measurements of indoor air parameters (air and globe temperatures, relative humidity, air velocity and CO2 concentration). Based on the obtained data a comparison has been done between the actual sensation votes of the volunteers and the calculation results performed with the Fanger thermal comfort model. Two indices have been considered in the paper: PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied). A modification of the model has also been proposed, which considers the impact of the carbon dioxide concentration on thermal comfort.


Author(s):  
Renato Guadamuz ◽  
Vikash V. Gayah ◽  
Rajesh Paleti

Although research in transportation safety is abundant, very few studies have examined the relationship between public transportation systems and safety performance. Most studies on the subject have focused on the impact of infrastructure countermeasures related to bus rapid transit systems. However, the impact of city-street buses on safety performance remains unknown. This research explores the pseudo-causal impact of the presence of bus routes and bus traffic on observed crash frequencies by developing safety performance functions (SPFs) that include the presence of a bus route and estimated weekly bus traffic as input variables. The SPFs were developed using the propensity score–potential outcomes (PS-PO) framework to reduce unobserved biases that might exist between segments that have and do not have bus routes. The results suggest that PS-PO reduced standardized biases significantly, allowing stronger causal inferences to be obtained. The results revealed that the presence of a bus route was associated with a 27% increase in expected crash frequency after controlling for other infrastructure-related variables. Weekly bus traffic was also found to be a significant predictor of overall crash frequency, with a 1% increase in ] weekly bus traffic associated with an expected increase in crash frequency of 0.016%. A non-parametric approach is also presented for comparison with the results from the SPFs; this confirmed the findings from the parametric method used.


2017 ◽  
pp. 232-247 ◽  
Author(s):  
Francesca Di Virgilio ◽  
Angelo A. Camillo ◽  
Isabell C. Camillo

Tourism represents one of the most important industries in the global economy. Medical tourism is not a new phenomenon: mankind has traveled to foreign lands to access treatment for many years. Current research in information and communication technology considerably affects the tourism industry by providing innovative tools capable, on the one hand, of supporting tourists in organizing their holidays and, on the other, of supplying fast and efficient information on tourist destination. Published literature shows that many aspects of medical tourists' behavior are under-researched. One of these aspects is the impact of social media on tourists' behavior for the choice of tourist medical destination, which is the original focus of this research. This paper explores how a social network can become a strategic platform using eWOM (electronic Word of Mouth) as a tool for disseminating fast and detailed information for the choice of medical tourist destination. A survey instrument was used to collect information from Italian active users of a social network: Facebook. Data was solicited from 960 active, experienced users. The findings support the development of medical tourism communication strategies focused on the online contexts as factors capable of influencing medical tourists' behavior in a more efficient way. Implications and future research directions are discussed.


Author(s):  
Suvrat Dhanorkar ◽  
Gordon Burtch

Despite their promise, popularity, and rapid growth, the transit implications of ride-hailing platforms (e.g., Uber, Lyft) are not altogether clear. On the one hand, ride-hailing services can provide pooling (i.e., traffic reductions) advantages by efficiently matching customer demand (i.e., trips) with resources (i.e., cars) or by facilitating car-sharing. On the other hand, ride-hailing may also induce extra travel because of increased convenience and travel mode substitution, which may create crowding (i.e., traffic increases). We seek to reconcile these divergent perspectives here, exploring the heterogeneous determinants of ride-hailing’s effects. Taking advantage of Uber’s staggered entry into various geographic markets in California, we execute a regression-based difference-in-differences analysis to estimate the impact of ride-hailing services on traffic volumes. Using monthly micro data from more than 9,000 vehicle detector station units deployed across California, we show that Uber’s effect (either pooling or crowding) on traffic depends on various contextual factors. We find some evidence of pooling effects on weekdays; however, Uber’s entry leads to significant crowding effects on weekends. Furthermore, the crowding effect is amplified on interior roads and in areas characterized by high population density. Although ride-hailing seems to have a substitution effect on public transportation, we find ride-hailing services may have a complementary effect for carpooling users. Finally, we show that premium ride-hailing services (e.g., Uber Black) almost exclusively lead to a crowding effect. We conduct a battery of robustness tests (e.g., propensity score matching, alternative treatment approaches, placebo tests) to ensure the consistency of our findings.


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