Tourism Data Domain Plan 2018 - MBIE
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Tourism Domain Data Plan released today
Published today by the Ministry of Business, Innovation and Employment, the Tourism Data Domain Plan sets out the main priorities for tourism statistics. Based on agreement by industry and government stakeholders, it provides the strategy for addressing these priorities over the next five to eight years.
Tourism, by both domestic and international visitors, has grown sharply in New Zealand in recent years. Tourism continues to be one of one of our largest employers, with one in 12 jobs in the tourism sector. Continued tourism growth is expected in the next few years. By 2024, international visitor arrivals are expected to reach 5.1 million.“When it comes to both data and tourism, we live in exciting times. The types of available data, its detail, and the costs of obtaining or using it are changing rapidly,” said Eileen Basher, General Manger Evidence and Insights. The first T ourism Data Domain Plan was completed in 2011 by the then Ministry of Economic Development. While the 2011 domain plan took a government-only, ‘official statistics’ approach, the 2018 plan uses a broader approach, including elements of industry focus. The plan was developed by MBIE’s Evidence and Insights branch, under the direction of a Project Steering Group comprising MBIE, Stats NZ and Tourism Industry Aotearoa.Extensive stakeholder engagement included central and local government agencies, the industry (including operators), representative organisations, consultants, researchers and academics. “We certainly appreciated the inclusion, and the opportunity to host a Māori workshop; we hope the insight gleaned in this gathering helped MBIE develop the plan,” said Simon Phillips, Director of Regions, New Zealand Māori Tourism.Fergus Brown, Chief Executive of the Holiday Parks Association of New Zealand, said consultation on the plan was in-depth and included substantial industry interaction. “The challenge will now focus on implementing the plan to ensure it adds value to the tourism industry, local and central government and New Zealand communities.” Following the completion of the 2018 Tourism Data Domain Plan, it is intended an annual report will demonstrate progress on the five key focus areas identified– the value and sustainability of tourism; businesses and workforce; tourism behaviours and characteristics and data usability. The plan and accompanying annual report will help make decisions that shape the future for New Zealand tourism.
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New Home For Tourism Data – Tourism Evidence And Insights Centre
A new website for accessing tourism data, research and reports is now available, making it easier to access information about the tourism industry.
“The Tourism Evidence and Insights Centre is the new home for tourism data,” said Michael Webster, Manager Tourism Evidence and Insights, Ministry of Business, Innovation & Employment (MBIE).
The Tourism Evidence and Insights Centre (TEIC, https://teic.mbie.govt.nz) has been developed by MBIE in collaboration with representatives from the tourism industry, academia, and central and local government, in particular the Department of Conservation (DOC).
“Providing a central location for tourism data, reports and articles will make it easier for those in the industry, business, government and anyone interested in the wider tourism story to access material,” says Michael Webster.
A key feature of the TEIC is the Sustainable Tourism Explorer, an interactive hub for sharing tourism data and insights to help measure the impact of tourism on Aotearoa New Zealand.
Michael Webster says it’s the first time information about tourism’s relationship with the environment, economy, visitors, communities and regions is available in one place.
“Having information about the activities and impacts of tourism has long been a priority for the industry and MBIE.
“We worked collaboratively with a wide range of stakeholders to identify what data they wanted and how to make it easy to use.
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“We’re pleased and proud that we can offer this via the Sustainable Tourism Explorer.
“It uses the latest technology in data visualisation. It will feel very intuitive for users, with a diverse range of appealing graph styles, the ability to add notes to charts and download both images and data.”
While the TEIC website already has a wealth of data and research available, new information will be added as it becomes available, allowing for expanded content as the website evolves. The aspiration for the website is to make it a home for a wide range of data and research, not just government-produced content.
“There’s an opportunity for the tourism sector to consider how it collects, shares and invests in data that’s not currently available,” says Michael Webster.
“We are also working with central and local government agencies to explore ways to present their data in a tourism context.”
Tourism Industry Aotearoa Chief Executive Chris Roberts says the new website will be welcomed by tourism operators around the country. TIA has long advocated for improved access to tourism insight.
“New Zealand tourism data and research is available from many different sources but can be hard to find and difficult to analyse. The Tourism Evidence and Insights Centre will support operators in making business decisions,” Mr Roberts says.
TIA will contribute links to any research it carries out and encourages others to do the same.
The TEIC and Sustainable Tourism Explorer are collaborative products. MBIE led the development and used targeted engagements to identify the industry’s information needs, including the 2018 Tourism Data Domain Plan, the 2019 Tourism
Information and Data Hui and the New Zealand Aotearoa Sustainable Tourism Dashboard workshop in early 2020.
MBIE’s Evidence and Insights team collects, analyses and publishes New Zealand tourism data, along with a range of useful tools and publications. You can read more on the Tourism research and data page.
The Tourism Evidence and Information Centre (TEIC) is the home to content related to tourism and sustainability.
At its landing page, the TEIC offers details about data releases and resources, where government agencies, industry and academia can contribute and have access to reports, insights, presentations and more.
The TEIC is also home to the Sustainable Tourism Explorer (STE), where users can visualise, interact and collect data. The STE uses the latest technology in data visualisation, which includes accessibility, multiple types of visualisation methods with quick and responsive interaction to support data exploration in an intuitive manner.
The STE also allows users to annotate charts, download graphs as images and download the underlying data as JSON or CSV files.
Google Analytics is in place to better understand what users need so the TEIC can adapt to the necessities of industry, academia and policy makers.
The data in the Sustainable Tourism Explorer comes from a range of sources and has been organised into 5 main themes, in alignment with the New Zealand Aotearoa Tourism strategy:
· Te Taiao - The environment
· Ngā Manuhiri O Te Ao, O Aotearoa Anō Hoki - International and domestic visitors
· Te Ōhanga - The economy
· Tātou o Aotearoa me ō tātou hapori - New Zealanders and our communities
· Ngā Rohe - Regions
Every measure and indicator used in the STE was selected through workshops with stakeholders. Based on the results of these workshops, the TEIC will allow industry, policy makers and academia to build the real non-stop-shop for all tourism related data and insights.
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About this site
December 22, 2021
The Tourism Evidence and Insights Centre (TEIC) was developed by MBIE in collaboration with representatives from the tourism industry, academia, and government.
This site provides insights, data and information about tourism in Aotearoa New Zealand to anyone wanting to know more about what’s happening in the tourism sector. You are welcome to contribute your own tourism-related articles or presentations to the site by contacting the team .
A key feature of the TEIC is the Sustainable Tourism Explorer (STE), an interactive application that allows users to explore a range of datasets related to the environmental, social and economic sustainability of tourism in Aotearoa New Zealand. You can visualise data, customise the graphs and download them.
How we started
As part of the 2018 Tourism Data Domain Plan , extensive stakeholder consultation across the industry identified the need for a sustainability dashboard that would capture a wider range of measures of tourism sustainability. A collaborative dashboard was further reinforced as a need by participants at the Tourism Information and Data Hui held in 2019.
As a result, the Tourism Evidence and Insights Centre and Sustainable Tourism Explorer were designed to address these key goals:
- A system that actively promotes and supports collaboration
- Data usability – how can this data be more usable, accessible, understandable - for a wider audience
- Developing a digital platform to encourage collaboration and data sharing across the sector.
- Measuring and monitoring sustainable tourism impacts, including creating a dashboard to support sector use of the information
A list of primary areas and indicators were developed for inclusion in this dashboard at a workshop involving regional tourism organisations, New Zealand Māori Tourism, academia, and the wider industry. These can now be found at the Sustainable Tourism Explorer .
To see more details about the current and past development of this site, see History - TEIC here or at the bottom of each page.
UN Tourism | Bringing the world closer
Statistics of tourism, tourism statistics database, share this content.
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UN Tourism systematically collects tourism statistics from countries and territories around the world in an extensive database that provides the most comprehensive repository of statistical information available on the tourism sector. This database consists mainly of more than 145 tourism indicators that are updated regularly. You can explore the data available through the UN Tourism database below:
145 Key Tourism Statistics
Data on inbound, outbound and domestic tourism, international tourism flows, tourism industries, employment and other indicators.
Economic Contribution and the SDGs
Data on the economic contribution of tourism and the implementation of relevant standards, such as the Tourism Satellite Account (TSA) and the System of Environmental-Economic Accounting (SEEA).
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The Tourism Structured Web Data Community Group
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Update – new standardization initiatives
I apologize upfront for not giving news sooner. I will try to update you on the matters I’m working on related to standardization which could interest you, and open again the discussions for improving schema.org on tourism.
As a reminder, in 2016-2017 we made two new proposals, accepted, to include new terms and properties in the vocabulary. Then, in 2018-2019, I was asked to draft the technical aspects of a norm for my country, Spain, based on Schema.org ( UNE 178503 ). It was approved and got traction, and in 2020 I worked on extending it to cope with new needs related to COVID-19. I missed here an opportunity to ask for changes in Schema.org, and things went back to normal.
In 2021 the sector was recovering from the pandemic blow. But in the second semester 2022, I took part in two initiatives I wanted to share with you. The first one is that I got invited as co-chair of this group to an introductory meeting organized by the European Commission. They are considering drafting a standard for the EU, and they wanted input from national organizations, corporates, and groups like ours. To my knowledge, they are still considering what route to take. If someone in this group has got more information and can share it with all of us, please do so.
The second one is that the tourism committee of ISO (International Organization of Standardization) has validated the creation of a working group (ISO/TC 228 WG 21 Semantics in tourism destinations ) to draft a new norm ( ISO/NP 20525 Tourism and related services — Semantics applied to tourism destinations ). I will be co-chairing the working group and represent Spain as technical expert along with a dozen of experts from other countries (please contact me if you want to join this group to put you in touch with the secretary of the ISO tourism committee). The goal is to end up with a norm that can be used by anyone to model and exchange tourism data, and we will certainly look to Schema.org as primary inspiration.
In the forthcoming months, I would like if possible to get any ideas you can provide to improve Schema.org first, and that could help us draft the new ISO norm. If we manage to get this right, we could add a lot of value to society. Personally, I will work towards adding terms related to sustainability as much as possible.
I look forward to improving and promoting Schema.org with you. Take care.
Proposal for TouristDestination and TouristTrip Submitted to Schema.org
A proposal has been submitted to the Schema.org community for the creation of two new Types — TouristDestination & TouristTrip
TouristDestination A tourist destination. In principle any Place can be a TouristDestination from a City , Region or Country to an AmusementPark or Hotel . This Type can be used on its own to describe a general TourstDestination , or be used as an additionalType to add tourist relevant properties to any other Place . A TouristDestination is defined as a Place that contains, or is colocated with, one or more TourstAttractions , often linked by a similar theme or interest to particular a touristType . The UNWTO defines Destination (main destination of a tourism trip) as the place visited that is central to the decision to take the trip.
- Subtype of: Place
- Property: touristType
- Property: includesAttraction (new property): Attraction located at destination. [Expected types: TouristAttraction , TouristDestiation ]
TouristTrip A tourist trip – a created itinerary of visits to one or more places of interest ( TouristAttraction / TouristDestination ) often linked by a similar theme, geographic area, or interest to a particular touristType . The UNWTO defines tourism trip as the Trip taken by visitors
- Subtype of: CreativeWork
- Property: itinerary (new property): Destination(s) that make up a trip. For a trip where destination order is important, use ItemList to specify that order. [Expected types: Place , ItemList ]
For more details, and options to support and/or comment, see the full submission in the GitHub Issue (#1810) .
Initial proposal accepted and published by Schema.org
The latest release of Schema.org (v3.3) appeared last month and it includes the proposals this group submitted:
- The addition of the publicAccess property to the Place type
Great progress – let the group know if and when you see on and apply this to tourist sites.
Onward, we are now thinking about what might be next – suggestions/proposals welcome!
Proposal #1 (follow up from previous post)
Following the proposal posted by Angelica Lo Duca and Elisabetta Triolo on November 3, Richard Wallis and I have had some interesting and constructive discussions with them about the way to move it forward.
As a result, we have reached a consensus around a minimum viable proposal to add value without adding too many things into the schema.org vocabulary.
Our goal is to fix some key issues identified in the past with the way tourist attractions are modeled today, and to provide a first set of examples for the Tourist Attraction class, from basic to complex, which are inexistent today. As such, the purpose is not solve every issue we have identified up to now; this will be hopefully done in forthcoming proposals 🙂
We invite you all to provide your comments or thoughts in this group’s mailing list. If no roadblocks are found, after one week we will submit a pull request to schema.org for incorporation into the Core Vocabulary.
Many thanks in advance for your feedback and help. Kind regards, Felipe
PROPOSAL #1
Our proposal is very simple and can be explained as follows:
1. Keep using the existing Multi-Type Entities mechanism available in schema.org as the best way to model tourist attractions, i.e. do not alter the class structure for the moment. Using this simple mechanism, anything can be expressed in schema.org as two or more classes, e.g. a famous winery that has become a tourist attraction on its own can have the types Winery and TouristAttraction (see the examples provided in the link below).
2. Add or alter some useful properties:
a) Add a property touristType to TouristAttraction (valid types are Audience or Text) to model the type of tourism the attraction is catering for, as well as the origin of the incoming tourists (see the example of a Cemetery).b) Add a property availableLanguage to TouristAttraction (valid types are Language or Text), used to model the languages available in the tourist attraction, e.g. the ones spoken during a guided visit, or written in the interpretative signage.
c) Add a property publicAccess (Boolean) to Place (the parent class of TouristAttraction) to signal that the place is accessible by public visitors. This criteria is important for tourist attractions, since many of them cannot be visited by the public.
d) Modify the property isAccessibleForFree used in Place (the parent class of TouristAttraction) to signal that the tourist attraction is accessible for free. Supersedes free.
All the details can be found in Richard’s GitHub fork (it will be used to build the PR for the main schema GitHub repository): https://github.com/Dataliberate/schemaorg/tree/TouristAttraction1
Also, a working copy with the changes incorporated and nine examples covering the changes described before can be found here: http://sdo-tourism.appspot.com/TouristAttraction
TouristAttraction extension proposal
one of my students, Elisabetta Triolo, is working on a proposal of a host extension for the TouristAttraction class of Schema.org.
She studied the structure of some important tourism platforms such as TripAdvisor , ParisInfo , Gogobot , and she tried to define what a tourist attraction is, by reading information and publications such as the Wikipedia definition , the Lorenzo Canova’s study of attractions , Lucia Varra’s article about tourist destination.
The whole extension has been published here .
In addition, an owl version of the extension is available here and it’s possible to find an explanation of the project here .
It’s important for us to have feedback from the community, in order to improve the structure of the class and its subclasses, and, hopefully, add this as an host extension of the Schema.org project.
Thanks in advance for your attention,
Proposal to kickoff group activity in 2016
Before taking some days off this holiday season, I would like to introduce some steps that we propose to initiate the group activity for 2016. Perhaps the term roadmap is adequate for this purpose.
Please consider the content as an individual contribution from Sismotur to start the debate, kindly please do not take this as an attempt to impose any methodology to this group, we are just trying to help.
Besides, Richard and I suggest to kick off the group activity in 2016 with a first (and if possible simple) example to improve schema.org. We think this would be good to provide traction and get the group to work around a specific subject.
Finally, please accept my apologies for any mistakes in the text, English is not my mother language.
All the best for the holiday season and 2016.
Kind regards, Felipe
Roadmap proposal 1. Do a diagnostic of the existing vocabulary
The first thing we propose to do is to review schema.org as a whole in order to identify major improvement areas to the vocabulary.
I will use a real example for this, the Beach class, which is an important place for many tourism destinations. This class is a child of Civil Structure and has no properties of its own. As a result, the only way to describe it is to use the following properties: – from CivicStructure: openingHours, – from Place: address, photo, review… – from Thing: name, url, description, image…
In our humble opinion, openingHours is of limited interest for a beach (at least in our home country, Spain, where most beaches are public). We think this class could potentially benefit from: (a) being a child of TouristAttraction (class without properties too!), from which it could inherit properties relevant to tourists, (b) adding properties to describe things such as the sand type (white, volcanic…), the setting (urban, natural), the type (quiet, nudist, lively, ideal for surfing…). These properties are found in Tenerife’s website, http://www.webtenerife.co.uk/places-interest/beaches/ Please do not take this as a concrete proposal, but just an example to illustrate the point. 2. Establish a framework to adapt the class tree
Based on the result of the diagnostic, analyze the existing schema.org global class tree and propose improvements to it.
This involves mainly the following tasks:
- identify potentially missing (or redundant) classes, e.g. add a new Viewpoint class,
- propose modifications to the class tree (in particular adding relationships between classes), e.g. make Beach be a child of TouristAttraction.
As a result, we should get a clear picture of the transition between the existing class tree and an improved tree which is better suited for Tourism.
3. Model individual classes to match tourism industry needs
For each class identified as relevant for Tourism in step 2, analyze its properties and decide whether these need to be amended (i.e. add, modify, remove properties). The gist of this work is to do here concrete proposals to schema.org involving class properties.
This is a work that can be made parallel for final classes (i.e. those with no children) if we all decide to make subgroups specialized in a particular domain (e.g. oenological tourism, sport tourism, cultural tourism… (*)). On the other hand, serializing the work is another valid option.
Furthermore, we could gather advice from experts to ensure each class gets the necessary properties for industry players having a stake on it. In that respect, we could bring tourism destinations specialized in the domain under analysis to the discussion table (e.g. subject matter experts from Canary Islands and Baleares tourism boards when analyzing the class Beach). This would allow us to take into account the tourism destination point of view, and make class properties relevant for the industry. (*) These tourism categories are loosely taken from the current French national tourism plan.
Welcome and Background
Felipe Santi and I welcome you to the Tourism Structured Web Data Community Group .
This group was set up in response to a thread, Tourism Schema , that Felipe started on the Schema.org Community Group mailing list.
We are a small company of consultants in the tourism industry focused on helping tourist destinations and services to market themselves. For that purpose we have recently built a web platform < http://www.inventrip.com >, which makes heavy use of tourism categories to describe places the tourists can visit or things they can do. We would like to migrate the existing categories in our platform to schema.org classes, however that would require extending classes (e.g. TouristAttraction) to cover up more detailed use cases frequent in the tourism industry.
It was clear from the following messages that there was interest in discussing enhancement and possible extension to the Schema.org vocabulary to help with the structured markup of tourism related information. Also there was interest in sharing best practice in the ways to this. Hence this group.
Tourism covers broad areas of markup interest, from locations and transport to hotels and disability access etc. Schema.org is also very broad. So it is hoped that much of what is required is already available, or being proposed – there is a hotels extension already in the proposal stage. The enhancements needed may well be minimal, and much of the work of this group will be around identifying use cases and capturing best practice to satisfy them.
We will have a wiki soon to capture such work in. In the meantime, please don’t hold back with suggestions, and potential use cases for us to engage with.
Richard Wallis .
Call for Participation in The Tourism Structured Web Data Community Group
The The Tourism Structured Web Data Community Group has been launched:
The mission of this group is to discuss and prepare proposals, examples, and best practice guidance for the sharing, via the web, structured data descriptions of resources associated with the tourism industry.
Initial focus will be on extending Schema.org schemas for the improved representation of tourism related information markup and sharing. The group will seek consensus around, and support for, proposal(s) to be made to the Schema.org community.
In order to join the group , you will need a W3C account . Please note, however, that W3C Membership is not required to join a Community Group.
This is a community initiative. This group was originally proposed on 2015-12-08 by Richard Wallis. The following people supported its creation: Richard Wallis, Raphaël Troncy, Felipe Santi, Christopher Regan, Vicki Holland. W3C’s hosting of this group does not imply endorsement of the activities.
The group must now choose a chair . Read more about how to get started in a new group and good practice for running a group .
We invite you to share news of this new group in social media and other channels.
If you believe that there is an issue with this group that requires the attention of the W3C staff, please email us at [email protected]
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How to improve NZ’s tourism insight? 25 recommendations from the Tourism Data Leadership Group
22nd February 2023 By Paul Yandall | [email protected] | @tourismticker
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IMAGES
VIDEO
COMMENTS
The Tourism Data Domain Plan sets out the main priorities for tourism statistics, based on agreement by industry and government stakeholders. The first Tourism Data Domain Plan was completed in 2011 by the then Ministry of Economic Development. With the five- to eight-year period for which the 2011 domain plan set priorities
The 2018 Tourism Data Domain Plan provides the strategy for addressing the main priorities for tourism statistics over the next 5 to 8 years. The plan was developed by the Sector Trends team in the Evidence and Insights branch of the Ministry of Business, Innovation and Employment (MBIE), under the direction of a Project Steering Group that ...
Tourism Data Domain Plan 2018 September 2018 Ministry of Business, Innovation and Employment (MBIE) Hikina Whakatutuki - Lifting to make successful MBIE develops and delivers policy, services, advice and regulation to support economic growth and the prosperity and wellbeing of New Zealanders.
consultation. The domain plan itself is not an action plan or a work programme. However, it does provide the foundations for deciding on where the greatest needs are in terms of tourism data essential for key decision making. Five perennial tourism data topics were identified: 1. The value of tourism
New Zealand's Tourism Data Domain Plan takes a strategic approach to tourism data. It aims to build a long term picture of tourism data needs and provides a framework for determining the highest priority tourism information needs in New Zealand. Revised in 2018, the Plan sets out the Government's tourism data priorities for the next 5 to 7 ...
The Tourism Data Domain Plan (TDDP) sets out the main priorities for improving tourism statistics, based on agreement by industry and government stakeholders. The QTR fills some gaps identified in the TDDP. In particular, the QTR aims to improve data usability and capability within the sector. The QTR assists in the following specific initiatives:
New Zealand's Ministry of Business, Innovation and Employment (MBIE) published (07-Sep-2018) its 'Tourism Data Domain Plan', aimed at achieving clarity and agreement from tourism industry and government stakeholders on priorities for tourism statistics.The plan also provides strategies for addressing these priorities over the next five to eight years.
Published today by the Ministry of Business, Innovation and Employment, the Tourism Data Domain Plan sets out the main priorities for tourism statistics. Based on agreement by industry and government stakeholders, it provides the strategy for addressing these priorities over the next five to eight years.
International Tourism and COVID-19. Export revenues from international tourism dropped 62% in 2020 and 59% in 2021, versus 2019 (real terms) and then rebounded in 2022, remaining 34% below pre-pandemic levels. The total loss in export revenues from tourism amounts to USD 2.6 trillion for that three-year period. Go to Dashboard.
The information was gathered from the 2018 Tourism Data Domain Plan, the 2019 Tourism Information and Data Hui and the New Zealand Aotearoa Sustainable Tourism Dashboard workshop in early 2020. MBIE's Tourism Evidence and Insights team collects, analyses and publishes New Zealand tourism data, along with a range of useful tools and publications.
In 2011, the then Ministry of Economic Development produced the first Tourism Data Domain Plan, with the goal of ensuring its tourism data met the needs of industry, researchers and Government. This plan set out the strategy for improving the tourism dataset for the next 5-7 years. Tourism Data Domain Plan November 2011 [PDF, 664 KB]
The ministry said the purpose of the Tourism Data Domain Plan was to achieve clarity and agreement from government and industry stakeholders about the main priorities for tourism statistics, and provide the strategy for addressing these priorities over the next five to eight years. It is intended that the 2018 Domain Plan would give:
MBIE led the development and used targeted engagements to identify the industry's information needs, including the 2018 Tourism Data Domain Plan, the 2019 Tourism
As part of the 2018 Tourism Data Domain Plan, extensive stakeholder consultation across the industry identified the need for a sustainability dashboard that would capture a wider range of measures of tourism sustainability. A collaborative dashboard was further reinforced as a need by participants at the Tourism Information and Data Hui held in ...
UN Tourism systematically collects tourism statistics from countries and territories around the world in an extensive database that provides the most comprehensive repository of statistical information available on the tourism sector. This database consists mainly of more than 145 tourism indicators that are updated regularly. You can explore the data available through the UNWTO database below:
delivery, and include tourism data governance topics of interest the collective industry raised. These include: Establishing a collaborative approach with the sector through co-governance; Aligning the objectives of the co-governance group with existing strategies or aspirations (Aotearoa Tourism strategy, Tourism Data Domain Plan);
Archived by the National Library of New Zealand. Title from PDF cover (viewed on Nov. 21, 2011). "To achieve clarity and agreement from stakeholders about the main priorities for tourism statistics, and provide the strategy for addressing these priorities over the next five to eight years"--P. 4. Hypertext links contained in the archived instances of this title are non-functional.
International Visitor Survey (IVS) Tourism and the economy. International travel. Tourism employment earnings and filled jobs. Cruise data. Monthly Regional Tourism Estimates (MRTEs, 2016-2020) Business Events Research Programme (2009-2019) Domestic Travel Survey 1999-2012.
The mission of this group is to discuss and prepare proposals, examples, and best practice guidance for the sharing, via the web, structured data descriptions of resources associated with the tourism industry. Initial focus will be on extending Schema.org schemas for the improved representation of tourism related information markup and sharing. The group will seek consensus around, and support ...
The TDLG says progress on the 2018 Tourism Data Domain Plan was slow but since 2020 resources have been re-deployed to respond to the Covid pandemic, with real-time and near-real time data priority. The Tourism Data Leadership Group's Initial Report for the government makes 25 recommendations to help improve insight into the sector for ...
Tourism Data Domain Plan Introduction Tourism is crucial to the New Zealand economy. It brings significant revenue into the country and it is a large employer. It is therefore important that any government interventions support the industry to grow and prosper. To this end, any decisions about policy that affect the industry must be based
emerging tourism data issues, as identified and agreed by the group. Align existing strategies, including the Aotearoa Tourism strategy, Tou rism Data Domain Plan, district and region Destination Management Plans. Provide thought leadership and advice concerning the strategic direction of data