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Landmark-Based Travel Tools

Clean the Sky - Positive Eco Trends & Breakthroughs

Google Hotel Finder Now Finds You Lodging Based on Travel Time

— January 25, 2012 — Pop Culture
Last year, Google launched the Google Hotel Finder, which helped travelers find accommodations based on preferences like price and star rating. Now the search engine has added a new and experimental feature to the search that allows users to find hotels based on travel time to and from the hotel to certain landmarks.

For example, if you're traveling to New York City and you want to stay in a hotel that's close to Times Square, you just search for hotels near this landmark, and then select 'Hotels by Travel Time.' This will show you all of the hotels that are within your preferred walking or car-riding distance, which can be any length of time up to 30 minutes. The Google Hotel Finder subsequently allows you to narrow your results according to hotel rating, price and other filters.
Trend Themes
1. Landmark-based Travel - Opportunity for travel companies to incorporate landmark-based search technology to enhance the traveler's experience.
2. Personalized Travel - Opportunity to personalize travel plans based on the traveler's preferences and save their time in finding hotels close to their desired destination.
3. Smart Travel Planning - Opportunity to develop smarter and more efficient travel planning applications using landmark-based search technology to provide more precise and relevant search results.
Industry Implications
1. Travel and Hospitality Industry - Opportunity for hotels and travel agencies to enhance their online presence by integrating landmark-based search technology into their websites or mobile apps.
2. Technology Industry - Opportunity for tech companies to develop innovative and user-friendly applications that incorporate landmark-based search technology to provide better search results for travel-related inquiries.
3. Data and Analytics Industry - Opportunity to leverage big data analytics to optimize landmark-based search algorithms and make them more accurate and efficient.
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