Dalarna University's logo and link to the university's website

This report provides a brief explanation of the MIRANDA tool and its links to the D.U.GIS platform. The report also presents system components and data sources used within the MIRANDA tool.

The starting point for the development of the MIRANDA tool has been the call for better understanding of the scale and scope of tourism at the local and regional levels. The purpose of the MIRANDA project was to develop a micro-based decision support to be used by public planners for more efficient and sustainable decisions regarding infrastructure investments in connection with destination development.

This report gives a brief introduction to the project before starting out with an overview of the MIRANDA-tool’s software architecture. This is followed by a description of the Coding languages, a section giving information on the Class libraries, as well as the type of data used. Following this are two sections describing APIs and the system model, before a final section concludes by giving an outlook for future development options for the MIRANDA tool.

Mobility planning in rural areas with a high number of tourists is important for creating sustainable destinations. By identifying mobility gaps in the transportation system, measures to improve the situation can be implemented. In order to identify such mobility gaps, decision-makers need a spatial decision support system (SDSS). The aim of this paper is to identify vital aspects of creating such an SDSS and to build a prototype. Two important aspects were identified, data and system design. The result of the analysis of available data shows a lack of data portals with disaggregated socio-economic and intradestination travel data. Further, it shows that data on points of interest (POI) and public transit data are primarily found in company databases. The system design analysis showed that most SDSS today are relying on public data and are not designed to integrate disparate data sources. They are primarily developed to be used by experts. Based on these findings an SDSS that automatically integrates both public and private data was developed. It comprises a self-hosted web mapping system and several geospatial tools. Our main conclusion is that both data and system design are important aspects to consider when building an SDSS for mobility planning. By using the architecture proposed in this article, new data can easily be incorporated in an SDSS. Furthermore, the system design also facilitates the involvement of stakeholders in the planning process. © 2022. by the authors. All Rights Reserved.

Denna rapport presenterar en sammanfattning av resultat från projektet Mikrobaserade beslutsstöd för hållbart turismresande och infrastruktur-planering (Miranda). Utgångspunkten har varit de oklarheter och de svårigheter som finns i att uppskatta turismen och besöksnäringens storlek och struktur på regional nivå.

Mirandaverktyget är ett mikrobaserat beslutsstödsystem för hållbar turism- och infrastrukturplanering som består av två delar, dels en teknisk plattform där flera datakällor som beskriver turismvolymer sammanförs för att kunna beräkna och presentera turismens ekonomiska effekter, dels en processmetodik för hur datakällorna samlas in och vilka aktörer i planeringssystemet som behöver samverka.

Syftet med texten är att ge en lättillgänglig beskrivning av vad Mirandaverktyget gör, vilka aktörer som kan använda det och hur den nya kunskap som Mirandaverktyget producerar kan användas i praktiken.

Sammanfattningsvis konstateras i rapporten att Mirandaverktyget i dagsläget är på dess första nivå av utveckling och att det redan nu är möjligt med ett antal analyser såsom:

·  en geografisk analys av turismens intressepunkter för en valfri destination/testområde i Sverige

·  en presentation av företag och dess ekonomi för ett urval av turistnäringens SNIs

·  uppskattningar av turismens volymer för ett valfritt studieområde

·  beskrivning av turistnäringens storlek och struktur från producentsidan och konsumentsidan

·  beskriva ekonomiska effekter av besöksnäringen och enskilda evenemang

·  initiera processer för samverkan mellan såväl privata aktörer som olika offentliga nivåer för turism-och infrastrukturplanering

Framtida utvecklingsbehov för Mirandaverktyget ligger främst inom datakvalitétsförbättringar, kalibrering av indata, visualisering och dashboard samt särskild utveckling av vissa delar (fartkameradelen samt en för scenariobyggande).

This paper presents the first results from a newly developed BI (business intelligence) model for the Swedish horse industry. Compared to previous studies of the impact from the horse industry we are able to present both figures for the national level as well as a decomposition to regional levels.

The size of the horse industry in Sweden for 2016, is measured departing from the expenditure approach, i.e. summing the final use of horse related goods and services. One implication of the approach is that results are comparable with overall GDP figures for a country and with other subsectors of an economy, e.g. the tourism industry or the car producing industry. The model has two main inputs. Firstly, estimates of the geographical position of all Sweden’s 355.500 horses of different type and use, based on JBVs statistics and postal codes from horse associations. Secondly, estimates of the horse owner’s consumption pattern related to their leisure or professional use. Other horse related activities like riding schools, education, race tracks, betting etc. is treated separately, measured and added to the overall calculation.

The preliminary results indicate that the horse industry in Sweden amounts to somewhere in the interval of 26-32 Billion SEK corresponding to approximately 0,5-0,6 percentage of Swedish GDP. Looking at regional variations, the region of Skåne has most horses and consistently also the region with largest share of the horse industry.

Denna rapport presenterar skattningar av den svenska hästnäringens samhällsekonomiska effekter på nationell och regional nivå. År 2016 uppskattades hästnäringen i Sverige generera en direkt omsättning på 31,3 miljarder kronor motsvarande en sysselsättning om ca 16 900 helårsarbetskrafter. Skattningarna bygger på en modell för hästnäringens samhällsekonomi som har sin utgångspunkt i summering av total konsumtion av hästrelaterade varor och tjänster i Sverige under ett år. Rapporten presenterar även den Business Intelligence (BI) lösning som ligger till grund samt hur bakgrundsdata har samlats in, lagrats och paketerats för att slutligen presenteras med hjälp av ett BI-verktyg (https://hastnaringen-i-siffror.se).

Norm-nudges are effective in encouraging sustainable consumer behaviour in various settings, by raising the salience of the target behaviour via social norms. Tourism presents a highly hedonic context, in which behaviour is primarily framed by self-oriented goals as opposed to normative ones related to the good of the environment and society. While the existing literature provides insights on the appropriate content of norm-nudges to raise the salience of normative goals, less is known about an appropriate frequency of nudges. It is important to address this gap in tourism because tourists need to be aware of desired sustainable behaviours, while overly obtrusive nudges may backfire. A field experiment was conducted to test the extent to which an increased frequency of norm-nudges has a backfiring effect on sustainable tourist behaviour, using donations for mountain-biking trails as the target behaviour. Results show that increasing the frequency of norm-nudges does not diminish their positive uptake, which suggests that they can be used more to encourage sustainable behaviour and enhance tourists’ experiences. Using actual and self-reported behavioural data, this study provides new empirical evidence on the effectiveness of increased frequency of norm-nudges in a real tourism setting, contributing to knowledge on norm-nudges and backfiring effects. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.