analysis of hotel location - plaza.ufl.eduplaza.ufl.edu/qiuyinqi/arcgis.pdfhotel location analysis...
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Hotel Location Analysis using
ArcGIS
Yang Yang Department of Geography
University of Florida
Outline
Introduction
Background
Data Source
Research Methodology
Preliminary Result
Introduction
Location! Location! Location!
Especially true for service industry
Agglomeration effects are evident in hotel location.
Different location preference for hotels in the U.S and China?
Outline
Introduction
Background
Data Source
Research Methodology
Preliminary Result
Background
We choose two cities for studies.
They are famed with distinguished amusement park attractions~
Orange County (Great Orlando area), Florida. (The City Beautiful)
Shenzhen City (Great Shenzhen area), Guangdong. (The City of Ambition)
Research Question
How do hotels distribute in the two cities?
Does different hotels have different preference for location?
What factors contribute to hotel location?
Outline
Introduction
Background
Data Source
Research Methodology
Preliminary Result
Data Source
Orlando Data:
Florida Geographic Data Library (FGDL): road and lodging facility data of Florida
Orange County GIS Database: Zipcode area data, Airport data.
Orlando City GIS Program: Landmark data
Shenzhen Data:
Dept. of Geography, Univ. of Nanjing
Hotel location in Orange County
Created by Yang YangDept. of GeographyUniv. of Florida12/01/2010
Projection: Albers Conical Equal Area
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Legend# CONDOMINIUM
HOTEL
MOTEL
Highways
Orange County Boundary
0 5,000 10,000 15,000 20,000
Meters
´
Hotel Location Map of Shenzhen
# type2 hotel
type1 hotel
") type0 hotel
Inner_roads
Express roads
Shenzhen City
Created by Yang Yang, 12/04/2010
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0 3 6 9 121.5Kilometers
Outline
Introduction
Background
Data Source
Research Methodology
Preliminary Result
Skills Functions
General
Projection Make all layers in the same projection
Geodatabase design Organize all project data in geodatabase for Orlando
and Shenzhen respectively.
Map design Create location maps for hotels
Merge feature Union of line features
Distribution description
Point density To visualize hotel location
Extraction Extract the point density (raster data) by mask
K-function To quantify the agglomeration of different hotels
Eclipse Compare the spatial distribution (direction and
dispersion)
Nearest neighbor
analysis
Detect the agglomeration of location
Agglomeration analysis
Buffer analysis To measure the proximity of hotels to major roads,
parks and airports.
Clip To general hotels within the buffering area
Frequency analysis To get frequency of hotels in different buffers
Regression analysis
Spatial join Count number of hotels in different zones
Near Find the nearest distance of hotels to parks
Regression analysis Estimate each factor’s contribution to hotel location
Research Methodology
Research Methodology
Hotel layer
Park layer
Airport layer
Road layer
Spatial join
Near
Near
Spatial join
Zone_reg
Regression analysis
Estimated coefficient
table
Research Methodology
Outline
Introduction
Background
Data Source
Research Methodology
Preliminary Result
Po
int
De
ns
ity
of
Ho
tel
Lo
ca
tio
n
FCreated by Yang Yang, Dept. of Geography, UF, 12/02/2010
0 25,000 50,000 75,000 100,00012,500
Feet
Density for all categories
Density for condominums
Density for motels
Density for hotels
Preliminary Result
Po
int
De
ns
ity
of
Ho
tels
in
Sh
en
zh
en
FCreated by Yang Yang, 12/04/2010
0 10 20 30 405
Kilometers
All hotels
Low-level hotels
Middle-level hotels
High-level hotels
Hotel location in Orange County with Standard Deviational Ellipse
Created by Yang YangDept. of GeographyUniv. of Florida12/01/2010
Projection: Albers Conical Equal Area
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Legend# CONDOMINIUM
HOTEL
MOTEL
Highways
Orange County Boundary
0 5,100 10,200 15,300 20,400
Meters
´ MOTEL Ellipse
HOTEL Ellipse
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CONDOMINIUM Ellipse
Preliminary Result
Preliminary Result
Orlando
Buffer Condominium Hotel Motel
1km 34.82% 33.93% 31.25%
2km 36.05% 37.21% 26.74%
3km 41.60% 34.20% 24.20%
4km 41.86% 33.72% 24.42%
5km 42.00% 33.90% 24.11%
Orlando
Buffer Condominium Hotel Motel
1km 6.25% 81.25% 12.50%
2km 14.86% 58.11% 27.03%
3km 46.70% 34.62% 18.68%
4km 41.31% 40.85% 17.84%
5km 55.18% 31.93% 12.89%
Shenzhen
Buffer low-level middle-level high-level
1km 65.71% 23.82% 10.47%
2km 69.08% 20.68% 10.23%
3km 70.69% 19.80% 9.50%
4km 71.37% 19.47% 9.16%
5km 71.43% 19.43% 9.14%
Shenzhen
Buffer low-level middle-level high-level
1km 50.00% 16.67% 33.33%
2km 64.29% 14.29% 21.43%
3km 62.50% 12.50% 25.00%
4km 60.53% 23.68% 15.79%
5km 64.58% 20.83% 14.58%
Major Roads Amusement Park
Preliminary Result
Thanks you!