Article summary

  • Torrevieja’s northern Playa del‌ Cura ‌and city center hold the highest concentration of tourist apartments.
  • Punta Prima and ‍Cala Dorada stand⁤ out for higher rental​ profitability and better-quality regulated properties.
  • Tourists​ mainly spend in supermarkets, ⁢restaurants, financial services,⁤ gas stations, and nightlife venues.
  • Study uses innovative data sources like AirDNA, Mastercard, and climate‌ records ​for in-depth⁢ tourism⁣ insights.
  • Recommendations include​ regulating property quality, boosting low-season ‍rentals, and optimizing housing during events like Carnival and Easter.
  • Torrevieja hosts over 6,300 officially registered tourist apartments, surpassing Valencia and ⁤matching major resorts like Benidorm.
  • The city is advancing‍ as a Sustainable,Digital,and ‍Resilient⁢ Smart Tourist Destination (DTI).

Exploring Torrevieja’s Tourist Apartment Market: New Data-Driven Insights

Torrevieja, a ⁢coastal gem on Spain’s Costa Blanca, continues‌ to strengthen its position as a​ leading tourist destination by⁤ focusing on smart tourism strategies backed by​ cutting-edge research. A recently ⁤published study by the ‍ Laboratorio ⁣Universitario de Turismo Inteligente ‌de Torrevieja (TI·LAB), a pioneering ⁢collaboration between the Torrevieja⁣ City Council​ and the University of Alicante, sheds new light on the area’s ​tourist apartment market,‌ visitor spending habits, and strategic planning for ​sustainable ‍growth.

Geographical Concentration of Tourist⁢ Apartments in Torrevieja

The study reveals a clear concentration of tourist apartment offerings in‍ two key areas:

  • North end‍ of Playa del Cura: especially near the buildings surrounding Las columnas.
  • City center of ⁢Torrevieja: notable but ‌somewhat less dense than ⁣playa del Cura.

Meanwhile, the Punta​ Prima⁣ and Cala Dorada zones, located near the Orihuela border,​ stand out ⁣as the most profitable areas offering higher ⁤quality ​apartments. These zones also feature a⁤ substantially higher percentage of properties ⁤that are officially regulated compared to other residential zones within the municipality,⁢ highlighting better​ compliance with quality frameworks.

Tourist Spending Patterns: Where Do Visitors Spend?

An essential part of the study analyzed tourist expenditure ‌in Torrevieja’s urban‍ habitat. According to the data,the⁢ majority of tourist ⁤spending occurs ⁤in the following‍ five‍ sectors:

Ranking Spending Category
1 Supermarkets
2 Restaurants
3 Financial⁣ Services
4 Gas Stations
5 Bars & Nightclubs

Interestingly,these‌ preferences confirm longstanding local perceptions ⁤about tourist ⁤spending,while opposing ⁢common patterns observed‍ in larger⁣ international⁣ tourist hubs. Such as, Torrevieja’s tourists show a ​stronger preference for private transportation rather than public transit.

Innovative Use of Data ⁢Sources ‌for Smarter tourism Management

This study pioneers the use of unconventional big data ​sources to analyze tourism ⁢and ⁤housing ‍markets. Combined sources include:

  • AirDNA: Data from vacation rental platforms
  • Mastercard: ⁤Tourist transaction records
  • Climate ​Records: Whether information to correlate with ⁢seasonal behavior

Integrating⁤ these diverse datasets provides a granular and dynamic‌ understanding‍ of occupancy rates, housing profitability, tourist spending, and‍ seasonal trends in Torrevieja.‌

Key⁢ Recommendations to Boost Tourism and ⁤sustainability

The ‍research team, comprised of⁤ experts from the University of alicante, recommends the following strategies to maximize ⁢both tourist satisfaction and economic ⁤benefits:

  • Optimize housing ⁢availability ​during major⁢ events: ‍such ⁢as‍ Carnival and Semana Santa (Holy‍ Week), to benefit from demand peaks.
  • Enforce regulations on ​rental housing quality: promoting better standards to increase occupancy and profitability sustainably.
  • Enhance efforts to ‌boost rental demand during​ low​ seasons: especially in spring and autumn to reduce tourism seasonality.
  • Upgrade⁣ lower-performing apartments: to improve‍ overall quality and attract ⁤higher occupancy rates.

Impressive Growth in Regulated tourist ⁣Apartments

According to statistics from December 2022 by the ⁢Generalitat​ valenciana, Torrevieja had more than 6,300 registered tourist apartments, totaling 26,829 beds.​ This represents a​ remarkable 16% increase in regulated supply in just one year, surpassing Valencia’s figures and rivaling well-known tourist cities like Benidorm and Xàbia.

Though, the official‍ numbers represent only part ⁣of the⁤ real market.

The ⁤city also boasts the largest secondary housing stock in Spain, with over 60,000 homes privately rented out‍ periodically ⁣via‌ online platforms that allow owners to​ profit as vacation rentals⁣ – ​many of which operate outside direct administrative ⁢control, expanding Torrevieja’s rental capacity‍ beyond official data.

Towards a Smart, ‌Sustainable, ‍and Resilient⁤ Tourist Destination

The study underlines ⁢the ⁢importance of moving beyond traditional tourism​ data systems. ‌By ⁤embracing​ intelligent ⁢tourism-territorial models that promote adaptive, interoperable, and evidence-based governance, ‍Torrevieja ‍aims to build a more sustainable, digital, and resilient destination.
Rosario Martínez Chazarra, Torrevieja’s Tourism Councilor, alongside‌ Jesús Segarra, director of the University ‌of Alicante’s Torrevieja campus, highlighted⁢ the transformative potential ⁤of this research to improve tourism planning and foster ⁣public-private collaboration in line with ⁣Smart Tourism principles.

About the Research ‌and Data Access

the⁤ study ⁤was funded ⁣by the ⁢Torrevieja City Council and conducted under the research project “progress of ⁢Virtual Open⁤ Data Portals for Tourism” (VirtualData), supported‍ by the Generalitat Valenciana’s‍ Department of Education, Universities, ⁤and Employment.

This collaboration showcases how ‍university research entities like TI·LAB can bring strategic ‍value⁢ to local governments, enabling more informed and effective tourism management based on rich, diverse data sources.


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