Starting Point

The Bike-Kingdom Lenzerheide is THE destination for mountain bikers. The mountain bike experience is accompanied by a pioneering app. The marketers and operators would like to know more about its use. One of the long-term goals is to use GPS data from the app to make reliable projections and to know where how many people are and, if necessary, to point them to those trails where the utilisation is low or where the app user could potentially have (more) fun. For the time being, however, there are other intermediate goals. https://www.bikekingdom.ch/de

Goals

• Visualise trail use on map and enrich with external data. Possible data: Time, weekdays, weather, holiday period, etc.
• Visualise trail use on map in the form of a heat map over the season (or individual days).
• Creation of a user-based annual review: Similar to Strava, you could build a query that pulls out per user data like "Your best day, your longest run, your longest bike day" etc. and display it visually in a usable format. This could then be used for impressive campaigns or even a micro-site. (It needs to be clarified here whether this sub-goal is compatible with data protection).

Territories

This challenge is limited to the Bike-Kingdom in the destination Lenzerheide.

Ausgangslage

Viele Ferienwohnungen werden von privaten Eigentümern vermietet. Eigentümer wenden sich an die Tourismusorganisation, um die Ferienwohnungen vermarkten zu lassen oder auch um Tipps für die erfolgreiche Vermietung zu erhalten. Eine Frage von Neuvermietern ist, wie hoch der Mietpreis angesetzt werden soll. Dazu gibt es bisher keine belastbaren Analysen. Eine Ferienwohnung im alpinen Raum während über 20 Wochen pro Jahr zu vermieten ist eine Herausforderung. Möglicherweise lässt sich die Vermietdauer mit unterschiedlichen Preisen erhöhen.

Mögliche Ziele

Untenstehende Ziele sind offen formuliert. Je nach Datenlage könnte ein Schwergewicht gesetzt werden Preiselastizitäten von Ferienwohnungen auf Basis von folgenden Gegebenheiten berechnen Ferienwohnungen werden vor allem in der Hauptsaison stark nachgefragt. Die Hauptsaison ist nicht in allen Destinationen deckungsgleich. Preiselastizitäten können mit Kategorisierung, Grösse, der Location oder weiteren Variablen zusammenhängen. Evtl. weitere? Buchungszeiträume pro Saison visualisieren Analyse und Visualisierung, wie stark die Auslastung von Ferienwohnungen abhängt beispielsweise von … exogenen Faktoren wie Events, Ferienzeiten des Quellmarktes etc. … endogenen Faktoren wie Preise, Klassifikation der Ferienwohnung, Alleinstellungsmerkmalen etc. Bewertungen

Gebiete

Für diese Challenge gibt es mehrere Challenge Owner. Der Fokus wird auf den Regionen der Challengeowner liegen. Es sind dies: Heidiland, Gstaad/Saanenland und Engadin

Initial Situation

Being a tourist is a big experience to everyone of us. Discovering new places, new gastronomy, new cultures. But, normally, although we like to register in our memories those moments, we do not like to answer reviews about destinations we visit as much, speacilly when we are still travelling. According with Endel Tulving, Rotman Research Institute of Baycrest Centre, Toronto, Canada (1997): From an evolutionary perspective, the ability to remember various aspects of one’s visual environment must be vital for survival, so it is not surprising that memory for pictorial material is particularly well developed. For that reason we are presenting the Trip Review. An easy way to remeber the favorite destinations we had visit by using only a photo. By connecting our experiences with a image, we have more accuracy on describing the things that were most remarcable at that specific place and the things we think could make the visit better. A simple code, made from people to people provide a support where you can easily connect the picture you took and the experience you have had with your own thoughts about that destination. So, when you recommend to someone this amazing experience you can do it by only sharing a link. You will also be able, on a shareble map made of memories to connect to other people that have been also there but decided to use a diferent route. So, next time you visit, you may rediscover the location again like it was the first time. Further than that, reviewing and saving online a place you loved or had memories that you keep until nowordays can make you treasure it forever.

Objectives

Make reviews more appealing to tourists and improving the collect reviews from different sources oriented by location points.

Challenge

The goal of the challenge is to demonstrate the added value of open reviews for tours based on a prototyping approach. For this purpose, a convincing concept should be presented on how reviews for tours from different sources can be successfully aggregated in practice and how the creation of reviews for tours can be simplified and promoted on different platforms, websites and in the destination.

A fundamental challenge of the Challenge is to initially find an approach to identify the same or sufficiently similar tours from different sources so that an aggregation of ratings is possible in a meaningful way - both, from a technical point of view and from the user perspective.

The collected reviews should then be visualised by integrating them on websites or in apps, for example using widgets from the Open Reviews Association or interfaces of the Outdooractive API. As part of the challenge, data model aspects, approaches to identifying fake reviews, ideas for incentivising reviews or working out the strategic potential for Swiss tourism can be conceptualised and presented as part of the solution.

The Open Reviews Association (ORA), Outdooractive and Heidiland Tourismus will support you in this challenge with technical infrastructure, extensive tour data with ratings, and as sparring partners with professional and technical experience.

https://open-reviews.net/technology/ https://developers.outdooractive.com/

Team: Aline Santos Barbosa and Tu Tran

Hashtags

#Tourism, #Tours, #Reviews, #Ratings, #Interdisciplinary, #OpenReviews

PROJECT PITCH

https://youtu.be/IreVR2pqh7c

TOPIC / ISSUE:

In times of incertainty about the different measures and regulations for national and international travel, there is a need for an united information platform. The team worked on a prototype that partly automatically retrieves information from different portals

GOAL:

DATASETS:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PITCH

https://youtu.be/h4NyLz5f4Lo

TOPIC / ISSUE:

Covid-19 has made the home office the norm for knowledge workers. The mandatory switch to telecommuting was disruptive, but many companies are beginning to see the long-term value of the concept. Some employees are more productive at home; they appreciate the flexibility, the lack of commuting or the ability to work in seclusion without interruption. And companies that build distributed teams can hire the best talent from anywhere in the world. This is a huge opportunity for tourism in Switzerland, because after the positive experiences in the home office, many will look for alternative workplaces, international remote workers but also local Swiss tourists. The first very successful coliving projects are already underway in Grimentz VS (swissescape) and the Mia Engiadina project. New coliving spaces are being created in Aeschiried, Berghaus Gurnigel, Zermatt, etc.

GOAL:

• 13.1 What does a remote work client do in a day?
• 13.2 Is there a Swiss village ready to become a Digital Nomad Village?

CHALLENGES:

So the hotel room alone is not enough. This is where the innovative idea of modern coworking spaces in tourist areas of Switzerland must come into play. It is important that tourism managers are familiar with the requirements of remote workers and digital nomads. A coliving is a place where people form long-lasting friendships and relationships. Some people even meet their partner for life. A coliving creates an experience where human interactions are key - connections and a sense of belonging are created. It is a safe place for people to meet. It is a place where ideas are born and dreams become a reality. It is a place where people push each other to go beyond what they thought was possible and give the best of themselves.

LESSONS LEARNED:

https://www.digitalenomaden.ch/ecosystems A great best practice example from Portugal: If Gonçalo Hall (33), a remote work consultant from Lisbon, has his way, a tiny archipelago could become the next big thing in remote working. Hall is helping to create a new digital nomad community in a tiny village in the autonomous Portuguese region of Madeira. “With a lot of people leaving the big cities right now, we wanted a village in a smaller place where people can build deeper connections than in a city,” Hall says of Digital Nomads Madeira Islands. When the pilot project opens in the village of Ponta do Sol, with support from the Madeira Regional Government and StartupMadeira, it will be ready to house up to 100 remote workers in a co-working space and surrounding village buildings. And plans to expand to other buildings – both in the village and elsewhere on the island – are also in the works. Now it’s a case of waiting until the Corona situation allows the launch.

NEXT STEPS:

GROUP MEMBERS:

A wonderfull team of 12 Remote Work pioneers and Tourism Experts (Hazique Memon, Fanny Caloz, Pascal Eisenhut, Pascal Gebert, Marcel Gasser aka the business buddha, Birgit Pestalozzi, Marcelle Christen Einsiedler, Jacqueline Hutter, Ilona Klama, Sarah Zingerli and Lorenz Ramseyer) worked on this question for the two days on the official Tourism Hackdays from HotellerieSuisse, Opendata.ch, HSLU Hochschule Luzern and Touristofficelab (April 2021)

OUR CHALLENGE OWNER ARE:

Lorenz Ramseyer, BERGSPITZ media Digitale Nomaden Schweiz Digital Nomads Villages - Ecosystems How to build a Digital Nomads Village Ecosystem? Digital nomads choose their destinations based on several factors which influence both living and working in a certain country. The most important factors are the following ones: - 7 Cs (Community, Coworking, Coliving, Conferences, Colearning, Collaboration & Cobalancing)- Infrastructure (Broadband Internet, stable

PROJECT PRESENTATION

https://youtu.be/lbkvIASiWCg

SUMMARY:

Cable cars and their corresponding offers for tours, restaurants or agro-tourism are lacking visibility. The group worked on the prototype of a common platform aggregating the offers, allowing a good overview for visitors and fast booking decisions.

GOAL:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PRESENTATION

https://youtu.be/nrp9P2TkEOI

SUMMARY:

Traveling in a sustainable manner asks for thoughtfully deciding about the most sustainable options available. Identifying and evaluating the relevant offers should be an easier process, both for those who actively look for this information and those are ready to influence their choice for the more sustainable options when seeing them. The project team developed a visualization tool for the different sustainability parameters to be taken in account in the tourism industry.

GOAL:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PRESENTATION

https://youtu.be/V4HRJKs53Cw

SUMMARY:

Reaching a Sustainable Tourism is a necessary goal to guaranty not only the quality of the experience but also the long term survival of the industry and of the environmant. There is a need to encourage best practices towards sustainable activities and behaviours.

GOAL:

A platform informing about and promoting sustainable tourism.

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PITCH

https://youtu.be/AtumP0WQIlA

SUMMARY:

The tourism industry is one of the most vulnerable industries in face of crises, be they international or local, economic or politic, ecological or sanitary. Still the industry at large lacks preparedness, plans and reflections to react fast and adequatly to the ever changing conditions it has to react to. The project proposes a website exposing a 3-tier approach to awareness, collaborative innovation and community building to help the different actors of the industry to build a resilience and innovation oriented mindset as well as develop pro-active strategies to mitigate identifiable risks.

GOAL:

A web-based tool helping different actors to: - visualize clearly their risks and likely options in case the issue would occur - start an own risk evaluation, mitigation and innovation process, recognizing their weaknesses and their potentials - collaboratively develop pro-active strategies to mitigate identifiable risks within the industry

CHALLENGES:

• identify the underlying common challenges posed by the different risks and the corresponding overall response strategies
• find the right frameworks for three different types of approaches
• making complex information easily understandable

LESSONS LEARNED:

• it helped to go through the different risks types and how they would affect the different actors to get a sense of the general strategy
• Borrowing problem solving from another discipline ( the diagnostic tree) helped to develop an adapted visualization
• the chance and challenge of an online event is that it allows to do several things in parallel, but it makes difficult to manage the tasks of the team members.

NEXT STEPS:

• deepen the risk/ actors /challenges/ opportunity matrix
• precise the "tree" visualization principle and how many layers of information the visualization allows
• precise the risk prepardness & innovation canvas
• define the right community building & collaboration tool ( ex. Policy Kitchen?)
• conceptualize and realize the web platform, communicate, initiate collaboration etc...

GROUP MEMBERS:

• Stephanie Zundler
• Quyen Duong
• Maud Châtelet
• Wenwen Zhao

OUR CHALLENGE OWNER ARE:

Mik Häfliger from graubuenden.ch

DOCUMENTS:

• https://miro.com/app/board/o9J_lHOLA1g=/
• https://docs.google.com/spreadsheets/d/1mmm7bjsdvO46maB6POYZ42VxJ0AEQhtKORu9VqdwQM8/edit#gid=0

REFERENCES:

• https://tourismhackdays2021.slack.com/files/U01UJ7UQETZ/F01V2HTJ43Y/htr_nr_3__vom_11._februar_2021.jpg
• https://tourismhackdays2021.slack.com/files/U01UJ7UQETZ/F020008EUGL/htr_nr_8_vom_22._april_2021_seite_11112_das_gespr__ch.pdf
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771910/
• https://www.gaiadiscovery.com/planet/covid-19-pandemic-five-ways-of-becoming-resilient-in-tourism-business
• https://openknowledge.worldbank.org/bitstream/handle/10986/34348/Rebuilding-Tourism-Compet[…]ience-to-the-COVID-19-crisis.pdf?sequence=5&isAllowed=y

PROJECT PITCH

https://youtu.be/Nwj-HjjJ85w

TOPIC / ISSUE:

Tourism destinations are looking for alternative experiences to offer to their visitors. Mobile and tiny accommodations are enjoying enormous popularity but regulation limits their expansion drastically. Instead the group worked on offering adventures and challenge packages to the visitors who actually want an experience to remember rather than an accommodation type.

GOAL:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PITCH

https://youtu.be/c1Z5sTIx5sw

TOPIC / ISSUE:

An analyse of the effective correlation (or not) of the prices of holyday rentals with the demand & other factors. A further step could be to predict demand and optimise prices according to the different parameters.

GOAL:

DATASETS:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PITCH

https://youtu.be/88CgR7NFHu8

TOPIC / ISSUE:

GOAL:

DATASETS:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

AUSGANGSLAGE

Die Grand Tour der Schweiz https://www.myswitzerland.com/grandtour ist eine ikonische Route durch alle Regionen und entlang aller Sehenswürdigkeiten der Schweiz. Die Rund-Tour führt entlang einer fixen und ausgeschilderten Route. Gästerückmeldungen besagen, dass die Beschilderung zwar gut ist, aber nicht perfekt und dass man sich unterwegs immer wieder unsicher fühlt. Wenn man mal einen Abzweiger verpasst hat, ist es schwierig wieder auf die GrandTour zu gelangen. Eine klassische Navigationslösung für die Unterstützung auf dem Weg unterwegs funktioniert nicht, denn Navigationssysteme funktionieren immer nach dem Prinzip a) kürzeste Route von A nach B oder b) schnellste Route von A nach B.

ZIEL / AUFGABE

Erhöhung der Convenience der Gäste welche unterwegs sind. Eine digitale Navigationslösung welche den Gast entlang der vorgegebenen Route führt und somit Sicherheit gibt. Gibt es eine technische Möglichkeit, eine echte Navigation (z.B. Abzweiger-Anweisungen, Zurückführen auf die Route falls man sie verlässt) zu ermöglichen auf Basis einer fixen und vorgegebenen Route? Wichtig, die Route muss zwingend eingehalten werden, man muss sich entlang folgender Route orientieren: https://www.myswitzerland.com/de-ch/erlebnisse/erlebnisfahrten/auto-motorrad-grand-tour/fakten-zur- grand-tour-of-switzerland/karte-navigation/ . Alternativ kann auch geprüft werden, ob die echte Navigation erst dann zum Zuge kommt, wenn man die Route verlassen hat und somit den Gast wieder zurück auf die Grand Tour führt.

TOPIC:

The Solution is a management tool named TWO VIEW. This tool was created during the Hackdays on 28/04/2021 and 29/04/2021. TWO VIEW is a simple solution for the management of a destination. One dashboard represents the target in numbers and facts. The second dashboard shows the development of the KPIs of the destination (like revenue, mapping of personas, weather correlation to revenue and seasonality). This could also be predicted in the future.

GOAL:

Utilize data to analyze and visualize frequencies and dependencies
Outlook for further analysis / data requirements

VALUABLE DATA:

Data from different sources is available but not combined to get the full picture. Below we present the useful data sources which could have a great impact - on the management tool TWO VIEW.

Invervista:

Projection should be taken with a grain of salt, as it does not represent reality. But there is information with added value - such as the arrival of guests, evaluation of daily and multi-day guests and number of stays (duration and number of days).

Skidata:

Rich data source to understand visitor segmentation.However, must be broken down to the tag, article to generate value. Revenue (Restaurant)

Social Media:

Through the Facebook and Instagram can be determined the guest structure, as well as generate reach through paid advertising.

Google Analytics

Google Analytics should be implemented correctly. Here, an analysis of the users on the website would be beneficial. Also, advertising could be placed via Google Ads.

GWD Data (WIFI)

Collect wifi data to measure # of people passing by (currently just 2 months).

DATASET:

Diemtigtal: SKIDATA, Restaurant Turnover, Social Media, Snow Conditions, Value Study Solothurn: SKIDATA, WLAN, Social Media, Google Analytics Intervista: POI (Parking and cable railways)

CHALLENGES:

Though there is plenty of data, it was hard to combine the different data sources. Some data formats were hard to clean and visualize. In example, there were not unique ids and inconsistent entries for some data columns. In the future, a stable process should be a goal. For that all exceptions have to get caught. The development machine learning models was hard to implement with limited time. The data needs some feature engineering to apply i.e. time series analysis. We did not want to publish preliminary results. We would recommend DeepAR (https://arxiv.org/abs/1704.04110) for this problem. Additionally, we wanted to integrate the weather data, but our API key failed to work and we ran out of time.

We have compared the web frequencies with the estimates from Intervista. The differences are quite large, but they balance each other out. The estimates of the Intervistata data are one time twice as high and one time half as high as the rail frequencies of the Wirihoren railroads. I could not compare the figures in Solothurn.

LESSONS LEARNED:

As part of the project, we were able to participate in a hackday event for the first time and gain experience. We were able to work with real data from various data sources during this time. The project partners were very motivated and helpful. Since there were several project partners involved in this project, communication and scheduling was not easy, but after a few meetings we were able to develop a flow that worked for all of us.

NEXT STEPS:

• Setup software pipeline to automate visualization process
• Recommendations for data quality: unique id, ‘Kartenbezeichnung’ unique
• Identify visitor segments missing at certain times (evaluation of daily and multi-day visitors, main means of travel arrival, number of stays (duration and number of days))
• Look for impact marketing events and weather conditions on frequency (correct implementation Google Analytics)
• Data would allow for Machine Learning models

TWO VIEW ROCKS! :)

GROUP MEMBERS:

Angela Schmidt
Jan Alexander Zak
Rashed Husseini
Fabienne Dörig
Roger Bär

OUR CHALLENGE OWNER ARE:

SOLOTHURN TOURISMUS: www.solothurn-city.ch
WIRIHORN DIEMTIGTAL: www.wiriehorn.ch

PROJECT PITCH

https://youtu.be/dyTstekZUJ8

Starting Point

The Bike-Kingdom Lenzerheide is THE destination for mountain bikers. The mountain bike experience is accompanied by a pioneering app. The marketers and operators would like to know more about its use. One of the long-term goals is to use GPS data from the app to make reliable projections and to know where how many people are and, if necessary, to point them to those trails where the utilisation is low or where the app user could potentially have (more) fun. For the time being, however, there are other intermediate goals. https://www.bikekingdom.ch/de

Goals

• Visualise trail use on map and enrich with external data. Possible data: Time, weekdays, weather, holiday period, etc.
• Visualise trail use on map in the form of a heat map over the season (or individual days).
• Creation of a user-based annual review: Similar to Strava, you could build a query that pulls out per user data like "Your best day, your longest run, your longest bike day" etc. and display it visually in a usable format. This could then be used for impressive campaigns or even a micro-site. (It needs to be clarified here whether this sub-goal is compatible with data protection).

Used Data (confidential data)

• "Bergbahn" data: Usage statics of each means of transport
• Trail descriptive data: GPS data for each trail
• Trail usage data: Information about users who use the trails

Outcome

These are the product outcomes of the hackday challenge.

Data Exploration

First we explored the data manually using the power of Jupyter and Python. Plots allowed us to gain first insights and gave us initial hints of the customer usage. The first plot shows the distribution of customers during the month of July 2020. The weekends are easily recognizable as there are huge customer spikes.

Further we looked into the individual usage of the trails during the month of July 2020. We recognize the same pattern as in the first plot.

We also looked at the hourly distribution of bikers on their trails. The lunchbreaks of the bikers are also easily recognizable.

Mockup

We created a mockup to visualize our goal for the project outcome.

Challenges

We initially had to go through all datasets and separate the more useful datasets from the others. There was simply too much dirty and not directly useable data. We focused on the trails related and cable car data. The getting to know each other part of the event was harder than expected. Not seeing each other in person but seeing them online made it harder. Where we struggled: Keeping track of the current open tasks and what each member is working on, requires a lot more discipline during an online event.

Result

We built a ready to use application environment. The result contains an initial import feature, database, backend and frontend. The following image describes the environment.

The enduser can view the application in his browser on any device. The user can filter the trail usage during the specified time range.

Lessons Learned

• Define goals between each member within the next two hours
• Regular mini stand-up meetings
• Create central todo list (Kanban board)

Next Steps

• Visualization of Usage per “Bergbahn”
• Filter Trails accessible by “Bergbahn”
• Evaluate incentives to use other trails
• Create Pipeline to read live data

Project Presentation

https://youtu.be/5wX5u9_-LZg

TOPIC / ISSUE:

GOAL:

DATASETS:

CHALLENGES:

LESSONS LEARNED:

NEXT STEPS:

GROUP MEMBERS:

OUR CHALLENGE OWNER ARE:

PROJECT PITCH

https://youtu.be/zuJq4rFbka8

Starting Point

Both domestic and foreign visitors are often on the move in Switzerland by public transport or car and – without knowing it – drive past sights and excursion opportunities. They actually have time to make a detour or would like to remember this sight for a later visit. IN general: There are plenty of experiences in Switzerland that people don’t know, even if they have passed them several times without knowing it. We want to give our guests (and of course Swiss inhabitants) the possibility to explore experiences nearby, which can be accessed within a certain amount of time.

Goal / Task

Realisation of a system (e.g. app) that draws the guest’s attention to sights in the current surroundings. The type of attention that is helpful here is to be worked out. There are a few sub-goals to achive:

• Visualize the experiences on a map which are reachable within 1 hour
• Giving the user the possibility to define if they’re travelling by car or by public transport
• Create a prediction for a visitor, based on it’s moving behaviour

Data

The largest collection of tourist content in Switzerland is obtained via the Open Data API of Switzerland Tourism at https://www.myswitzerland.io . The challenge was focussing on experiences and therfore useing the 'attractions' endpoint.

Result

The main outcome is an app concept, which is adressing the travelling distance to the experiences nearby. It's giving the users the possibility to inactivate the recommendation system, bringing the app into a 'do not disturb' mode. Instead of filtering experiences, based on the travelling distance, the concept is adressing this issue by just giving the user the information, how much time you need to travel to the experience. This is much better than just filtering the experiences (e.g. what if an interesting experience is 1h 5 minutes away from the current location, and the filter is defined to 1h? -> Instead of technically filtering those experiences, we're giving the users all kind of information and let them filter by themself.

The concept is technically validated with Node-Red (https://www.nodered.org). Please find the presentation here (Link to YouTube):

• Original Figma
• PDF Export Figma
• Node-Red Configuration File

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