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Publications (10 of 21) Show all publications
Fayzullaev, K., Heldt Cassel, S. & Brandt, D. (2018). Destination image in Uzbekistan – heritage of the Silk Road and nature experience as the core of an evolving Post Soviet identity. Service Industries Journal, 1-16
Open this publication in new window or tab >>Destination image in Uzbekistan – heritage of the Silk Road and nature experience as the core of an evolving Post Soviet identity
2018 (English)In: Service Industries Journal, ISSN 0264-2069, E-ISSN 1743-9507, p. 1-16Article in journal (Refereed) In press
Abstract [en]

ABSTRACTThe purpose of this research is to analyze the destination image of Uzbekistan presented by the DMO and the destinations images emerging from user generated content in social media posts. In this study, promotional images and user-generated images on the platform Instagram were examined by using content-semiotic analysis. The main findings show that the destination image of Uzbekistan is dominated by heritage and reference to ancient cultural traditions of the region. However, the image represented through user generated content on Instagram is more diverse and to a larger extent depict the destination through natural heritage and experiences in the natural landscape. Furthermore, Uzbekistan is concurrently trying to create a post-Soviet identity through a focus on its history prior to the Soviet past, with focus on heritage of the Great Silk Road which highlight that destination image construction is related to geo-political processes in society which includes contestations of national identity.

Place, publisher, year, edition, pages
Routledge, 2018
Keywords
Destination image, content-semiotic analysis, post-Soviet identity, tourism representations, the Great Silk Road, Uzbekistan
National Category
Human Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-28534 (URN)10.1080/02642069.2018.1519551 (DOI)
Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2018-10-01Bibliographically approved
Elbe, J. & Brandt, D. (2018). Kurbits affärsutveckling 10 år: Vad tycker deltagarna?.
Open this publication in new window or tab >>Kurbits affärsutveckling 10 år: Vad tycker deltagarna?
2018 (Swedish)Report (Other academic)
Publisher
p. 17
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2018:01
National Category
Human Geography Business Administration
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-27641 (URN)
Available from: 2018-05-07 Created: 2018-05-07 Last updated: 2018-05-15Bibliographically approved
Saqlain, M., Alam, M., Brandt, D., Rönnegård, L. & Westin, J. (2018). Stochastic differential equations modelling of levodopa concentration in patients with Parkinson's disease. In: : . Paper presented at The 40th Conference on Stochastic Processes and their Applications – SPA 2018, June 11-15 2018, Gothenburg.
Open this publication in new window or tab >>Stochastic differential equations modelling of levodopa concentration in patients with Parkinson's disease
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2018 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The purpose of this study is to investigate a pharmacokinetic model of levodopa concentration in patients with Parkinson's disease by introducing stochasticity so that inter-individual variability may be separated into measurement and system noise. It also aims to investigate whether the stochastic differential equations (SDE) model provide better fits than its ordinary differential equations (ODE) counterpart, by using a real data set. Westin et al. developed a pharmacokinetic-pharmacodynamic model for duodenal levodopa infusion described by four ODEs, the first three of which define the pharmacokinetic model. In this study, system noise variables are added to the aforementioned first three equations through a standard Wiener process, also known as Brownian motion. The R package PSM for mixed-effects models is used on data from previous studies for modelling levodopa concentration and parameter estimation. First, the diffusion scale parameter, σ, and bioavailability are estimated with the SDE model. Second, σ is fixed to integer values between 1 and 5, and bioavailability is estimated. Cross-validation is performed to determine whether the SDE based model explains the observed data better or not by comparingthe average root mean squared errors (RMSE) of predicted levodopa concentration. Both ODE and SDE models estimated bioavailability to be about 88%. The SDE model converged at different values of σ that were signicantly different from zero while estimating bioavailability to be about 88%. The average RMSE for the ODE model wasfound to be 0.2980, and the lowest average RMSE for the SDE model was 0.2748 when σ was xed to 4. Both models estimated similar values for bioavailability, and the non-zero σ estimate implies that the inter-individual variability may be separated. However, the improvement in the predictive performance of the SDE model turned out to be rather small, compared to the ODE model.

Keywords
levodopa, parkinson's disease, pharmacokinetic model, stochastic modelling, PSM.
National Category
Probability Theory and Statistics
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - methods
Identifiers
urn:nbn:se:du-28268 (URN)
Conference
The 40th Conference on Stochastic Processes and their Applications – SPA 2018, June 11-15 2018, Gothenburg
Available from: 2018-08-08 Created: 2018-08-08 Last updated: 2018-12-17Bibliographically approved
Brandt, D. (2018). Wage determinants in the Swedish tourism sector. Scandinavian Journal of Hospitality and Tourism, 18(1), 18-38
Open this publication in new window or tab >>Wage determinants in the Swedish tourism sector
2018 (English)In: Scandinavian Journal of Hospitality and Tourism, ISSN 1502-2250, E-ISSN 1502-2269, Vol. 18, no 1, p. 18-38Article in journal (Refereed) Published
Abstract [en]

A significant number of the jobs that are found in the tourism sector are relatively low-paying positions. The share of part-time employment is also large. This study focuses on individuals who have remained in the sector for many years and are making a career in tourism. The analysis is based on a balanced panel consisting of individuals who, between 2002 and 2011, lived and worked full time in the tourism industry in central Sweden. Data were analyzed using three different models; a cross-sectional OLS model was utilized for the analysis of the data from 2011 and both a pooled OLS model as well as a fixed-effect model were used in the analysis of data between 2002 and 2011. The fixed-effect model is important because it captures differences in ability among the individuals included in the study. The results show a lower income for individuals in the tourism sector compared to the rest of the economy. However, the results of the panel data estimations indicate that the effect of education is stronger for individuals in the tourism sector and that wage levels in this sector is more equal between the men and women, compared to the rest of the economy. 

Keywords
fixed-effect regression, pooled OLS regression, Sweden, tourism, Wage equation
National Category
Economics and Business
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-23005 (URN)10.1080/15022250.2016.1206832 (DOI)000423735300002 ()2-s2.0-84982279882 (Scopus ID)
Available from: 2016-09-01 Created: 2016-09-01 Last updated: 2018-02-22Bibliographically approved
Macuchova, Z. & Brandt, D. (2017). Vinterturismens utveckling 2012-2017: En kartläggning av gästnätternas fördelning och utveckling på kommunnivå i Dalarnas län. Borlänge: Högskolan Dalarna
Open this publication in new window or tab >>Vinterturismens utveckling 2012-2017: En kartläggning av gästnätternas fördelning och utveckling på kommunnivå i Dalarnas län
2017 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2017. p. 19
Series
Tema Turism
Keywords
Turism
National Category
Human Geography
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - tourism
Identifiers
urn:nbn:se:du-26507 (URN)
Available from: 2017-11-07 Created: 2017-11-07 Last updated: 2017-11-15Bibliographically approved
Wikström, D., Brandt, D. & Heldt, T. (2016). A business intelligence solution of handling traveling data with R and Shiny. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016.
Open this publication in new window or tab >>A business intelligence solution of handling traveling data with R and Shiny
2016 (English)In: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Conference paper, Published paper (Refereed)
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-23617 (URN)978-91-88025-62-3 (ISBN)
Conference
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain, Östersund, Sweden, April 11-12, 2016
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2018-01-13Bibliographically approved
Brandt, D., Heldt, T. & Wikström, D. (2016). Potential research areas for big data in tourism. In: Fuchs, M., Lexhagen, M. & Höpken, W. (Ed.), Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain: . Paper presented at IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016.
Open this publication in new window or tab >>Potential research areas for big data in tourism
2016 (English)In: Proceedings of the IFITTtalk@Östersund Workshop on Big Data & Business Intelligence in the Travel & Tourism Domain / [ed] Fuchs, M., Lexhagen, M. & Höpken, W., 2016Conference paper, Published paper (Refereed)
Keywords
Business Intelligence, Big Data, Tourism
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - tourism
Identifiers
urn:nbn:se:du-23616 (URN)978-91-88025-62-3 (ISBN)
Conference
IFITTtalk@Östersund on Big Data & Business Intelligence in Travel & Tourism Domain. Östersund, Sweden, April 11-12, 2016
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2018-01-13Bibliographically approved
Bohlin, M., Brandt, D. & Elbe, J. (2016). Tourism as a vehicle for regional development in peripheral areas – myth or reality?: A longitudinal case study of Swedish regions. European Planning Studies, 24(10), 1788-1805
Open this publication in new window or tab >>Tourism as a vehicle for regional development in peripheral areas – myth or reality?: A longitudinal case study of Swedish regions
2016 (English)In: European Planning Studies, ISSN 0965-4313, E-ISSN 1469-5944, Vol. 24, no 10, p. 1788-1805Article in journal (Refereed) Published
Abstract [en]

In the contemporary so-called ‘competition state era’, many rural and peripheral regions are in decline. Tourism is increasingly viewed as being able to alleviate and rejuvenate regions that are facing economic difficulties. The European Union has launched several programmes with the goal of stimulating growth and employment in peripheral areas. These programmes are often used to support tourism development projects. In this paper, a longitudinal analysis of spatial changes in Swedish tourism is conducted. The analysis is based on statistics regarding overnight stays in Swedish commercial accommodation facilities. The aim is to investigate if tourism and tourism policy contribute to the reduction in disparities between regions. Although there are exceptions, the main findings indicate that the potential for creating sustainable rural tourism growth through tourism policy seems to be much less than the popular discourse suggests. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Keywords
clusters, regional policy, the EU, Tourism
National Category
Business Administration Human Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-23052 (URN)10.1080/09654313.2016.1194807 (DOI)000383249700004 ()2-s2.0-84983728047 (Scopus ID)
Available from: 2016-09-08 Created: 2016-09-08 Last updated: 2017-11-21Bibliographically approved
Brandt, D. & Wikström, D. (2015). Education and careers in the Swedish tourism sector: How important is education for building a successful career?. In: : . Paper presented at 24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015.
Open this publication in new window or tab >>Education and careers in the Swedish tourism sector: How important is education for building a successful career?
2015 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Human Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-20459 (URN)
Conference
24th Nordic Symposium of Tourism and Hospitality Research. Responsible tourism? Reykjavik, Island 1-3 oktober 2015
Available from: 2015-12-18 Created: 2015-12-18 Last updated: 2016-12-20Bibliographically approved
Brandt, D. (2015). Wage determinants in the Swedish tourism sector 2002-2011. In: : . Paper presented at Global Growth Agendas: Regions, Institutions and Sustainability, Regional Studies Association Annual Conference 2015, 24th May - 27th May, 2015, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Open this publication in new window or tab >>Wage determinants in the Swedish tourism sector 2002-2011
2015 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Human Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-20457 (URN)
Conference
Global Growth Agendas: Regions, Institutions and Sustainability, Regional Studies Association Annual Conference 2015, 24th May - 27th May, 2015, Università Cattolica del Sacro Cuore, Piacenza, Italy
Available from: 2015-12-18 Created: 2015-12-18 Last updated: 2015-12-18Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2051-7555

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