International Conference on Domestic Tourism Statistics - (ICDTS-26)


22nd - 23rd October, 2026 | Tartu, Estonia

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

22nd September, 2026

Paper Submission Deadline

27th September, 2026

Last Date Of Registration

7th October, 2026

Date Of Conference

22nd - 23rd October, 2026

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 10 SDG 10 — Reduced Inequalities
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 13 SDG 13 — Climate Action
SDG 15 SDG 15 — Life on Land
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
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All Session Tracks

Track 01
Quantitative Analysis of Domestic Tourism Trends

This track focuses on the application of statistical methods to analyze trends in domestic tourism. Researchers are encouraged to present empirical studies that highlight the growth patterns and shifts in domestic tourist behavior.

Track 02
Economic Impacts of Domestic Tourism

This session will explore the economic effects of domestic tourism on local economies and regions. Contributions should examine the relationship between domestic tourism and economic growth, employment, and investment.

Track 03
Cultural Dimensions of Domestic Tourism

This track invites papers that investigate the cultural and social aspects of domestic tourism. Discussions may include the influence of diverse social backgrounds on travel preferences and experiences.

Track 04
Environmental Sustainability in Domestic Tourism

This session aims to address the environmental and conservational aspects of domestic tourism. Researchers are encouraged to explore sustainable practices and their implications for the tourism industry.

Track 05
Statistical Modelling in Tourism Forecasting

This track emphasizes the use of statistical models to forecast domestic tourism trends. Presentations should focus on innovative methodologies and their applications in predicting future tourism dynamics.

Track 06
Political and Social Influences on Domestic Tourism

This session will examine the political and social factors that shape domestic tourism policies and practices. Papers should analyze how these influences affect tourism development and stakeholder engagement.

Track 07
The Role of Domestic Tourism in Regional Development

This track will investigate how domestic tourism acts as a catalyst for regional development. Contributions should highlight case studies that demonstrate the interplay between tourism and regional economic strategies.

Track 08
Impact of Climate Change on Domestic Tourism

This session focuses on the implications of climate change for domestic tourism. Researchers are invited to discuss adaptive strategies and resilience planning for tourism destinations affected by climate variability.

Track 09
Diverse Perspectives on Domestic Tourist Experiences

This track seeks to understand the varied experiences of domestic tourists from different demographic backgrounds. Papers should explore how identity, culture, and social factors influence travel experiences.

Track 10
Strategic Analysis of the Domestic Tourist Industry

This session will provide insights into strategic frameworks for analyzing the domestic tourism industry. Contributions should focus on competitive analysis, market positioning, and strategic planning.

Track 11
Innovations in Domestic Tourism Statistics

This track invites discussions on new methodologies and technologies for collecting and analyzing domestic tourism statistics. Researchers should present innovative approaches that enhance data accuracy and relevance.