TripAdvisor today launched its first-ever mobile Check-Index revealing travelers’ and locals’ most frequented hotels, restaurants and attractions in major world tourism destinations. The study was based TripAdvisor’s massive trove of mobile location data.
“Our mobile Check-Index shows the points of interest where consumers are voting with their feet and actually spending their time,” said Jeff Chow, vice president of product, consumer experience, TripAdvisor. “It’s interesting to see how in some cities travelers and locals are drawn to the same things to do or places to eat, while in others you see distinct differences in their preferences.”
To glean these insights, TripAdvisor studied check-ins via smartphone GPS and motion sensors to predict when and where anonymous users are visiting a spot or if they are just passing by.
Analysis of foot traffic in the following cities reveals the following interesting trends:
- Travelers and locals both tend to have good taste, generally choosing highly rated points of interest
- Many travelers and locals are drawn to the same tasty eateries, with crossover is several cities studied
- The most frequented chain restaurants in these select cities are Starbucks, McDonald’s and Hard Rock Café
- Travelers are drawn to major tourist attractions, whereas locals often find alternative things to do
Points of Interest with the Greatest Number of Visits: Travelers vs. Locals
CITY |
TRAVELERS |
LOCALS |
|
|
|
Sydney |
|
|
Attractions |
|
|
Restaurants: Independent |
|
|
Restaurants: Chain |
|
|
Hotels |
|
Not Applicable |
New York City |
|
|
Attractions |
|
|
Restaurants: Independent |
|
|
Restaurants: Chain |
|
1.Shake Shack (East 86th St)
|
Hotels |
|
Not Applicable |
Chicago |
|
|
Attractions |
2.The Art Institute of Chicago
|
|
Restaurants: Independent |
|
3.Quartino |
Restaurants: Chain |
|
|
Hotels |
|
Not Applicable |
San Francisco |
|
|
Attractions |
1.Pier 39
|
|
Restaurants: Independent |
2.Scoma’s
|
|
Restaurants: Chain |
2.Super Duper Burgers (Downtown)
|
2.Super Duper Burgers (Downtown)
|
Hotels |
1.Hilton San Francisco Union Square
2.San Francisco Marriott Marquis
|
Not Applicable |
Los Angeles |
|
|
Attractions |
|
|
Restaurants: Independent |
1.Gjelina
2.Perch
|
2.Perch
|
Restaurants: Chain |
1.The Ivy
|
2.IHOP
|
Hotels |
2.JW Marriott Los Angeles L.A. Live
|
Not Applicable |
London |
|
|
Attractions |
|
|
Restaurants: Independent |
|
2.Madison
|
Restaurants: Chain |
3.Yauatcha |
2.Big Easy
3.Yauatcha |
Hotels |
1.Park Plaza Westminster Bridge London
|
Not Applicable |
Paris |
|
|
Attractions |
|
|
Restaurants: Independent |
2.L’Avenue
|
|
Restaurants: Chain |
1.Laduree
|
1.Laduree
|
Hotels |
|
Not Applicable |
Rome |
|
|
Attractions |
|
|
Restaurants: Independent |
|
2.Dolce
|
Restaurants: Chain |
1.Stagioni, l'Osteria di Eataly
|
1.Stagioni, l'Osteria di Eataly
|
Hotels |
1.Rome Cavalieri, Waldorf Astoria Hotels & Resorts
2.NH Collection Roma Vittorio Veneto
|
Not Applicable |
Barcelona |
|
|
Attractions |
1.Basilica of the Sagrada Familia
2.Mercat de Sant Josep de la Boqueria
|
|
Restaurants: Independent |
|
|
Restaurants: Chain |
2.Tapas 24
|
2.Sopa
3.Nostrum |
Hotels |
|
Not Applicable |
Berlin |
|
|
Attractions |
|
|
Restaurants: Independent |
|
2.Martkhalle Neun Berlin Kreuzberg
3.SETs
|
Restaurants: Chain |
|
|
Hotels |
|
Not Applicable |
Bangkok |
|
|
Attractions |
3.Temple of the Emerald Buddha (Wat Phra Kaew)
|
|
Restaurants: Independent |
|
|
Restaurants: Chain |
|
1.After You Dessert Café – Intersect Rama 3
|
Hotels |
|
Not Applicable |
Methodology: TripAdvisor studied anonymized, aggregated mobile data to reveal the most frequented points of interest in select major tourism destinations. Points of interest highlighted were required to have a minimum of 100 check-ins within the month of March 2017. Grocery stores, transportation facilities, convention centers and shopping malls were excluded from this edition of the TripAdvisor Check-Index. Local check-ins were based on consumers originating within a geo less than 50 km from a respective destination, while traveler check-ins were defined by users originating outside of this perimeter.