A detailed overview of the visitor management approaches currently being undertaken by destinations and the key learning outcomes from their implementation. This will include an overview of the data sources and technological solutions that help destination management.

1. Extended research files with reporting, strategy, planning and test data shared privately with other Workstream Members.
2. Analysis of data sources and technologies used by destinations to monitor and manage visitor flows effectively.
3. Key learnings and actionable recommendations for other destinations to adapt and implement similar approaches.

To develop a standardised framework for assessing destination carrying capacity, which will provide a consistent and comparable approach for informing decision-making. This framework will enable international benchmarking and a granular understanding of the different factors that influence carrying capacity.

1. Research Repository: A curated collection and summary of research papers, reports and strategic documents focused on visitor management approaches.
2. Data Sources Directory: Exploring the diverse range of data sources employed by destinations and their potential applications.
3. Indicator Analysis: A detailed examination of KPIs and metrics that shape destination management.
4. Defining Criteria: Creating a standardised reporting framework for urban and rural destinations.

To ensure that visitor management approaches align with the needs and preferences of different visitor segments, their acceptance levels to management solutions will be mapped to inform communication strategies and help DMOs tailor messaging to achieve a stronger impact.

1. Visitor Segmentation: Identify and categorise visitor segments based on their characteristics, such as demographics, travel motivations and preferences.
2. Assess Acceptance Levels: Measure the acceptance levels of each segment for different visitor management solutions, including marketing and educational campaigns, digital solutions and visitor levies or restrictions.
3. Develop Tailored Messaging: Create targeted messaging strategies that resonate with the unique needs and preferences of each visitor segment.

To effectively manage visitor flows and minimise their impact on natural resources, a robust AI tool will be identified for analysing complex datasets, modelling environmental impacts and providing accurate predictions.

1. Define Key Indicators: Determine the relevant environmental indicators to be monitored, such as air quality, water pollution and biodiversity, and their baselines and capacities.
2. Evaluating AI Tools: Research and evaluate various AI tools to determine their capability in analysing complex datasets and review their respective strengths and weaknesses.

To gain practical insights into the complex interplay between visitor flows, destination management strategies and climate change, a digital twin tool will be developed to simulate scenarios.

1. Build a Digital Twin: Create a virtual representation of a destination, incorporating key features such as geography, infrastructure and visitor attractions.
2. Define Parameters and Metrics: Identify relevant parameters and metrics, including visitor flows, resource consumption, weather conditions and the impact of climate change.
3. Simulate Scenarios: Conduct simulations to evaluate the potential outcomes of different visitor management strategies under various conditions, such as comparing the implications of policy approaches.