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Forecasting Destination Weekly Hotel Occupancy with Big Data
Bing Pan
, Yang Yang
Recreation, Park and Tourism Management
Research output
:
Contribution to journal
›
Article
›
peer-review
174
Scopus citations
Overview
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Dive into the research topics of 'Forecasting Destination Weekly Hotel Occupancy with Big Data'. Together they form a unique fingerprint.
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Business & Economics
Big Data
81%
Hotels
67%
Destination
63%
Search Engine
61%
Query
60%
Web Sites
42%
Seasonality
40%
Forecasting Error
34%
Hotel Managers
32%
Time Series Models
29%
Weather
28%
Hospitality
27%
Inclusion
22%
Benchmark
20%
Tourism
18%
Performance
10%
Engineering & Materials Science
Hotels
100%
Big data
74%
Search engines
41%
Websites
35%
Tourism
24%
Time series
17%
Managers
17%
Social Sciences
traffic
53%
search engine
51%
website
44%
time series
29%
Tourism
23%
manager
19%
inclusion
18%
performance
12%
Earth & Environmental Sciences
forecasting
63%
engine
38%
traffic
34%
need
22%
seasonality
19%
tourism
18%
forecast
14%
time series
14%
weather
14%