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  1. Home
  2. Research
  3. Cities
  4. Low-Impact Tourism Modelling

Low-Impact Tourism Modelling

Predictive analytics and sensors to distribute tourists, reduce overcrowding, and protect urban ecosystems
Back to CitiesView interactive version

Low-Impact Tourism Modelling (LITM) addresses the significant environmental and societal challenges posed by traditional tourism practices. As cities and popular destinations deal with the adverse effects of mass tourism—such as pollution, resource depletion, and social and cultural disruption—LITM emerges as a vital solution to promote sustainable travel. This innovative model leverages advanced data analytics and predictive technologies to minimise tourism's ecological footprint while enhancing the cultural and social experiences for both visitors and local communities.

At its core, LITM integrates a suite of technologies, including Geographic Information Systems (GIS), Internet of Things (IoT) sensors, and artificial intelligence (AI). These tools work in tandem to collect and analyse vast amounts of data related to tourist activities, environmental conditions, and community feedback. By utilising GIS, urban planners can map tourist flows and identify areas of high impact. IoT sensors monitor environmental parameters like air and water quality, providing real-time data to assess the ecological impact of tourism. AI algorithms then process this information to predict potential hotspots and recommend actionable strategies for mitigating negative effects.

One of the primary benefits of Low-Impact Tourism Modelling is its ability to offer precise and proactive management of tourism activities. By forecasting visitor numbers and their potential impact on specific locations, city planners can implement measures such as visitor caps, dynamic pricing, and alternative route suggestions. These strategies help disperse tourist traffic, reduce overcrowding, and protect sensitive areas. Furthermore, LITM supports the creation of tailored experiences that align with sustainable practices, thereby fostering a more conscious and responsible tourism culture.

As urban areas continue to grow and attract more visitors, the pressure on local infrastructure and natural resources intensifies. LITM provides a scalable and adaptable framework that not only mitigates the environmental impact but also enhances the quality of life for residents. By promoting sustainable tourism, cities can preserve their unique heritage and ecosystems while still benefiting economically from tourist activities.

Technology Readiness Level
7/9Prototype Demonstration
Diffusion of Innovation
2/5Early Adopters
Technology Life Cycle
2/4Growth
Category
Software

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Supporting Evidence

Article

Leveraging spatiotemporal big data for sustainable destination development: an interdisciplinary approach

Information Technology & Tourism · Aug 22, 2025

This research presents a prototype system for the Island of Corfu that integrates IoT sensing networks, Earth Observation imagery, and user-generated content to model tourism flows and environmental dynamics for sustainable governance.

Support 98%Confidence 100%

Paper

Leveraging spatiotemporal big data for sustainable destination development: an interdisciplinary approach

Information Technology & Tourism · Aug 22, 2025

This study presents a prototype system for the Island of Corfu that integrates IoT sensing networks, Earth Observation imagery, and user-generated content to model tourism flows and environmental dynamics, enabling real-time governance and sustainable planning.

Support 95%Confidence 92%

Paper

(Big) Data Driven Strategic Decision-Making in Overtourism Management

Springer · Aug 28, 2025

This paper explores the transformative role of Big Data Analytics in addressing overtourism, using descriptive, diagnostic, predictive, and prescriptive analytics to quantify and manage visitor pressures.

Support 92%Confidence 95%

Paper

IoT and AI-driven approaches to sustainable eco-tourism and cultural heritage management in Uzbekistan: Multidisciplinary frameworks and local implementation

E3S Web of Conferences · Jan 15, 2026

The paper explores multidisciplinary frameworks utilizing IoT and AI to manage eco-tourism and cultural heritage sustainably, focusing on local implementation in Uzbekistan.

Support 90%Confidence 95%

Paper

Digital Twins in Smart Tourist Destinations: Addressing Overtourism, Sustainability, and Governance Challenges

World · Nov 6, 2025

Investigates the application of Digital Twin technology in smart destinations to simulate and manage overtourism, enhancing sustainability and governance through data-driven modeling.

Support 90%Confidence 95%

Article

FairTrip

fairtrip.org

The FairTrip app is a free collaborative guide that helps travelers to find and share local and authentic places while having a positive social and economic impact on the visited place.

Support 50%Confidence 80%

Article

Identifying and Managing Tourism Using Models

reefresilience.org

Understanding and monitoring optimal ecological, social, and economic conditions at a reef site enhances sustainable tourism objectives. Both the optimal number of tourists and the number of tourists that represents a threshold when conditions (e.g., tourist experiences, environmental conditions) have declined is not a specific/single number, but rather a range of numbers that vary based on circumstances (e.g., location, season, durability of the resource). The acceptable ranges and thresholds for these conditions will vary site to site and over time shifting with the changing health and condition of the reef and reef communities.

Support 50%Confidence 80%

Article

Ecotourism Models: Identifying Contributions to Conservation and Community

frontiersin.org

This Research Topic looked at research on frameworks, models, applications, and practices which highlight conservation and community strategies for ecotourism. The models presented attempted to address the complexities of ecotourism implementation and included looking at models that lead to financial benefits, direct and indirect, for communities and conservation, provide positive experiences for visitors and hosts, minimized physical, social, behavioral, and psychological impacts on fauna and flora and which recognize the rights and spiritual beliefs of indigenous and local peoples, working in partnership with them. The topic also covered the challenges in terms of implementation and management and new ways of conceptualizing ecotourism amidst the challenges presented by climate change, pandemics, and the degradation of natural resources (Spenceley, 2021). Several principles behind ecotourism have been touted by non-profit organizations (see for example, the Global Ecotourism Network (GEN) (2023), which have been based on successful implementation and design.

Support 50%Confidence 80%

Article

Greenglobe

greenglobe.com

The Global leader in Sustainable Tourism Certification

Support 50%Confidence 80%

Article

MEASURING TOURISM’S IMPACT A PILOT STUDY IN CYPRUS

thetravelfoundation.org.uk

Over the past year, the Travel Foundation has worked with TUI Group and PwC to pilot a new, holistic method of impact measurement which quantifies and values the economic, tax, environmental and social impacts of tourism activities in a given destination. This report summarises the results and learnings from the pilot study, which has measured and valued the different impacts arising from TUI Group’s activities in relation to eight hotels in Cyprus in 2013.

Support 50%Confidence 80%

Article

A Multi-modelling Approach for Assessing Sustainable Tourism

link.springer.com

Academics, institutions and policymakers advocate systematic assessments to design sustainable development and implement proper environmental management; however, practical measurements in tourism research based on composite indicators are still in progress. This paper aims to build and validate a composite indicator of sustainable tourism (SusTour-Index), which recognises the economic, environmental and social dimensions as the three main interrelated facets of tourism sustainability. The SusTour-Index is composed of 75 elementary indicators, adequately structured in pillars and sub-pillars within each economic (34), environmental (21) and social dimension (20). A multi-modelling approach tests the hierarchical structure of the SusTour-Index by combining different weighting and aggregation methods within each sustainability dimension to choose the most appropriate model once the uncertainty analysis has been performed. The structure of the SusTour-Index is validated in all 21 Italian regions by performing 23 different models of the same composite indicator. The paper presents theoretical and methodological contributions for future research and advances in practical assessments, supporting policymakers and institutions in planning and managing sustainable tourism development.

Support 50%Confidence 80%

Article

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undp.org

Egypt is a world-renowned touristic destination. Tell someone you are visiting Egypt, and the pictures immediately come into focus: the iconic pyramids of Giza, with the mysterious Sphinx standing guard; the beautiful beaches along the coast, warm and inviting; the vibrant and bustling bazaars, infused with the legacy of the pharaohs, teeming with the rich cultures of its people.

Support 50%Confidence 80%

Article

SWOT Analysis for Sustainable Tourism Development Strategies using Fuzzy Logic

researchgate.net

Recently, tourism is a major source of income for many countries, and affects the economy of both the source and host countries, in some cases being of vital importance. Tourism brings in large amounts of income into a local economy in the form of payment for goods and services needed by tourists, accounting for 30% of the world's trade of services, and 6% of overall exports of goods and services. This research is done in Iran, and we get usage of SWOT approach and fuzzy logic for sustainable tourism development strategies. SWOT analysis is a commonly used tool for analyzing external and internal environments simultaneously in order to acquire a systematic approach and support for a decision situation. First, considering on the internal and external environment of the region, a list of strength (S), weaknesses (W), opportunities (O) and threats (T) will be recognized. Then experts will be questioned. After analyzing and calculating, each factor is given a weighted score. Finally, appropriate strategies are presented. Strategies are put in SO, WO, ST, and WT groups.

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Article

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Tourism will never be completely sustainable because every industry has impacts, but it can work towards becoming more sustainable and resilient to ensure communities and the environment thrive. A regenerative approach means ensure balance between nature, our community and our economy.

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Article

Travel & Tourism Development Index 2021: Rebuilding for a Sustainable and Resilient Future

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Several key findings have been identified in the Travel & Tourism Development Index (TTDI) 2021 results and research. First, the need for T&T development has never been greater as it plays a critical role in helping the global economic recovery by supporting the livelihoods of some of the populations hardest hit by the pandemic and by building resilience, especially when it comes to lower-income countries. Moreover, by investing in the factors that help drive T&T, many economies can leverage tourism to further their overall development. The need for T&T development has never been greater as it plays a critical role in helping the global economic recovery.

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Article

What is sustainable tourism and why is it important?

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In this article, we explore the benefits and drawbacks of the tourism industry, explore the role of sustainable tourism and ecotourism, and offer some examples.

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Article

Modeling Tourism Demand Dynamics

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This article applies a combination of a diffusion model and a traditional tourism demand model for visitor demand estimation. The diffusion model assumes that information is transmitted to a society’s potential consumers through various different information channels. The traditional model suggests, however, that tourism, according to economic theory, depends mainly on fares, income, exchange rates, and dummy variables. Using data for tourists to the Balearic Islands, we found evidence that individuals undergo a prior process of acquiring information before deciding to visit a particular destination.

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Article

Conceptualizing the Creative Tourist Class: Technology, Mobility, and Tourism Experiences

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Increasing mobilities and an ever greater amount of technologies that support creativity have led to the emergence of a so-called Creative Class in our postmodern society. Creative Class members have distinctive experiences that blur the boundaries between everyday and touristic life. These experiences challenge conventional typologies of the tourist experience and have tremendous implications for tourism research and practice. In this article we discuss first what the Creative Class is, what experiences it has, and how it uses emerging technologies to create, mediate, and reconstruct these experiences. A special emphasis is placed on the relationship the Creative Class has with technology, in particular consumer-generated media. The discussion draws on literature from different fields, stressing the need for an interdisciplinary perspective to analyze and understand the phenomenon. Next, the article proposes that there is indeed an emergence of a creative tourist class with distinct tourism experiences. We then argue that these insights call for a new conceptualization of tourism experiences in general. A tourism experience sphere is presented and described that seeks to overcome some of the limitations of our current conceptualization and understanding of tourists' experiences. The sphere represents a multidimensional space enabling combinations of experience aspects and dimensions (these are illustrative items and not meant to be an exhaustive categorization). The article closes with an agenda for future research regarding tourism experiences, creative tourists, tourism product development, and tourism marketing.

Support 50%Confidence 80%

Connections

Software
Software
Autonomous Sustainability Monitoring

Real-time sensor networks and AI tracking air quality, energy use, and waste across cities

Technology Readiness Level
6/9
Diffusion of Innovation
2/5
Technology Life Cycle
1/4

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