Artificial Intelligence

Smart Tourism Puts AI and Crowd Data at the Centre of Overtourism Debate

Artificial intelligence, pedestrian sensors and digital visitor information offer cities new ways to understand tourism congestion and improve journeys. For destinations facing crowded landmarks and busy historic streets, these tools could support more informed decisions about visitor movement.

The approach centres on identifying where and when pressure develops, rather than assessing arrivals through citywide totals alone. Information about individual streets, attractions and transport connections can reveal problems that broader statistics overlook.

However, technology does not establish that overtourism has been solved. Its value depends on reliable evidence, practical management and whether improvements benefit residents as well as visitors.

Crowding Depends on Location and Timing

A city can accommodate substantial tourism activity while particular neighbourhoods experience uncomfortable concentrations. Narrow streets, monument entrances and coach stops may face pressure during relatively short periods.

This makes timing important alongside overall visitor numbers. A destination’s annual arrival total cannot describe the experience of pedestrians navigating a crowded junction.

Digital monitoring could help authorities identify those concentrations and assess how they change throughout the day. Historical patterns may also support forecasts for busy periods.

Nevertheless, forecasts remain estimates. Weather, transport disruption and unexpected events can change how people move, requiring staff to interpret information and respond appropriately.

Visitor Information Could Spread Demand

Congestion updates can help travellers choose when to visit popular attractions. Information available before departure from accommodation may be particularly useful when visitors retain flexibility in their plans.

Alternative walking routes and suggestions for quieter periods could reduce pressure at individual locations. They may also introduce travellers to cultural sites and businesses outside the best-known sightseeing areas.

Kyoto’s congestion-information approach illustrates the relevance of timing to heritage visits. However, encouraging different travel times does not guarantee that visitors will change their behaviour.

Recommendations must remain practical, understandable and consistent with attraction opening hours, transport availability and accessibility needs.

Spain’s Urban Tourism Challenge Requires Coordination

Barcelona’s heavily visited monuments illustrate why pedestrian activity and transport planning need coordinated attention. Coaches, public transport, residents and independent visitors can compete for limited space around the same attraction.

Monitoring those movements could help planners assess loading areas, walking routes and transport arrangements. However, claims that algorithms automatically eliminate congestion require evidence from individual deployments.

Changing traffic signals alone cannot resolve every pressure associated with tourism. Accommodation concentration, noise, public-space use and residents’ daily needs also shape destination conditions.

For Spain’s tourism sector, digital tools are therefore most useful when they support a wider management strategy with clear objectives.

Local Businesses May Gain Different Opportunities

Redirecting visitors could introduce spending to streets beyond established hotspots. Cafés, guides, shops and smaller attractions may benefit when travellers discover additional neighbourhoods.

However, promotion does not automatically produce higher earnings. Businesses need suitable opening hours, accessible information and experiences that match visitor interests.

Destinations must also consider whether alternative areas can accommodate additional demand. Moving congestion from one street to another would provide little lasting benefit.

Monitoring should therefore examine the consequences of recommendations, including resident feedback and pressure on local facilities. Success involves improving the distribution of activity without creating new problems.

Privacy Requires More Than Technical Promises

Crowd monitoring can involve cameras, connected devices or other sensors. The privacy implications depend on what information a system collects and how operators process it.

Aggregated pedestrian counts differ from identifying individuals or following devices over time. Authorities should explain those distinctions clearly rather than describe every monitoring system as anonymous.

Practical safeguards can include limiting collection, restricting access and setting appropriate retention periods. However, technical measures require assessment within each deployment.

Visitors and residents also need understandable information about monitoring purposes. Clear accountability helps communities evaluate whether claimed benefits justify the chosen approach.

Technology Complements Wider Destination Decisions

Digital systems cannot determine the appropriate balance between tourism activity and neighbourhood life on their own. Authorities still need to consider heritage protection, transport capacity and residents’ access to public space.

Equally, visitor limits, reservations and other management measures should not automatically be dismissed because technology is available. Different locations face different constraints.

For travellers, useful outcomes include clearer instructions, realistic crowd information and manageable routes. For destinations, evidence should demonstrate whether interventions improve conditions.

Smart tourism offers a way to make decisions with better information. Its contribution will depend on measured results, responsible data handling and sustained cooperation between communities, tourism businesses and public authorities.

For more travel news like this, keep reading Global Travel Wire

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