Title: Accessibility under competition: An implementation in a GIS environment
1Accessibility under competition An
implementation in a GIS environment
POEC 6389 GIS Masters Project
2Introduction
- What is Accessibility?
- The degree to which a system is usable by as many
people as possible - Study of potential activity between facilities
and those who will use them - It is an indicator
- Social indicator shows the availability of
social opportunities (jobs, health care)
3Introduction Types of Accessibility Studies
- Transportation and Planning
- Expansion of road network (Ahmed et al 2006)
- Traffic congestion study (Geurs, B Wee 2004)
- Operating speed (Geurs, B Wee 2004)
- Labor Market
- Spatial study between workers and jobs
- Study of spatial mismatch
- Real Estate
- Property value estimation
- Apartment rent estimation
- Location choice
4Scenario
- Retail Site Selection
- What is the story?
- Where to locate a retail facility
- Competition with other retail facilities
- Competition for patrons (population)
- Seeking sites that provide access to population
in the context of retail competition
5Introduction Accessibility Under Competition
- People do not access opportunities in a vacuum
- There are competitors seeking to attract
population - Competition requires consideration of both demand
and supply factors - This research asserts that an approach that
considers competition gives a more reasonable
result for retail site selection
6Objective
- Implement two different methods of determining
accessibility under competition in a GIS
environment - No such implementation exists
- Design a GIS extension
- Compare the results of the different methods
- Target audiences
- Geographic Information Scientists
- Real Estate developers
7Literature Review - Overview
- Accessibility has two components
- Location and Transportation
- Location defines the attractiveness or the
opportunities that are present - Transportation defines the impedance in order to
access those opportunities - Example of opportunities
- Job locations, shopping centers, day care
centers, recreation centers etc. - The population itself can be an opportunity if
you are locating a facility, and other facilities
are the competition
8Literature Review Methods of computing
accessibility
- Regional Accessibility and Population Potential
- Demographic elements are considered as the
opportunities - E.g. population, household income, home owners
etc. - Note in the following slides the symbols i, j,
and k refer to locationsor zones where things
are located, where there are n zones - John Q. Stewart (1947) was the first to coin the
term population potential
population of area j
distance between location i and area j
9Lit Review Methods cont.
- Mathematical formulation of Accessibility
- Distance based
- Simplest form of accessibility measurement
- Coined by Ingram
- Ingram refers to as the relative
accessibility and the average (Ai ) as the
integral accessibility - Bigger the number less accessible is i
distance between location i and j
10Lit Review - Methods cont
- Mathematical formulation of Accessibility
- Gravity based
- Based on the classical law of the Newtonian
Gravity Model - Accessibility measure depends upon the magnitude
of the opportunities, and how far these
opportunities are located from each other
Ej Opportunities in zone j
Impedance function
11Lit Review - Methods cont
- Impedance Function
- Different mathematical forms
- Simple negative function
- Drawback Division by Zero when i j
- Opportunities in zone i are excluded from the
calculation - Gaussian function
- Negative exponential function
v is an empirical parameter
is a distance decay parameter
12Lit Review - Methods cont
- Mathematical formulation of Accessibility
- Cumulative Opportunities Based Method
- Opportunities are cumulated based on travel time
or travel distance - The travel time based method is also known as the
isochrone method or Drive-time method
Ej Opportunities in zone j Tj Cut-off time (0
or 1). If greater than drive-time 0, otherwise 1
13Lit Review - Methods cont
- Accessibility with competition
- Gravity Based
- Traditional accessibility measures consider only
the supply side and not the demand side - Shens formula explains the demand side
Di Demand Potential Pk Population seeking
opportunities in zone k
Impedance function
Ai Competitive accessibility
Ej Opportunities in zone j
14Lit Review - Methods cont
- Accessibility with competition
- Isochrone based
- Competitive accessibility based on the Isochrone
method is a very rare topic to find in the
accessibility literature - Two-step floating catchment area (Luo, 2003)
resembles the isochrone based competitive
accessibility measurement - First step for every opportunity, measure the
ratio of opportunity to opportunity seekers
within an isochrone - Second step for every zone the ratios from the
first step are accumulated to every isochrone
15Lit Review - Methods cont
16Lit Review - Methods cont
- Accessibility with competition
- Isochrone based
- Why is the isochrone method interesting?
- Opportunities are defined based on the actual
road network - Opportunities beyond the travel time threshold
are excluded from the analysis - Less complicated and pretty straight forward
method of analysis
17Lit Review - Methods cont
- Retail Trade Analysis
- Accessibility analysis-
- Doesnt take into account consumer behavior of
choosing stores while shopping - Doesnt consider the attractiveness or the stores
- Huff model and Intervening Opportunity model try
to overcome these deficiencies in Accessibility
analysis
18Lit Review - Methods cont
- Huff Model
- Introduced by David Huff in 1963
- A probabilistic model
- Gives the probability that a customer will shop
in a certain shopping center
19Lit Review - Methods cont
- Intervening Opportunity Model
- Introduced by Samuel A. Stouffer in 1940
- the number of persons going a given distance is
directly proportional to the number of
intervening opportunities - nearer opportunities compete with more remote
ones and thus the intervening opportunities act
as a barrier
20Lit Review - Methods cont
- Intervening Opportunity Model
21Data
- Boundary data (Block Groups) US Census Bureau
22Data
- Road Network Street Map USA, ESRI
Street Map USA comes with the speed limit data
for the US roads. Otherwise, Census Feature Class
Codes (CFCC) is used to estimate the speed limit
for the roads.
Note Streets not shown in the map
23Data
- Demographic Data US Census Bureau
24Data
- Retail Data Research Department, Archon Group
Major Retailers Wal-Mart, Target and H-E-B
25Methodology
- Implement two methods
- Accessibility using the isochrone method
- Primary focus of the research
- First implementation of accessibility with
competition for the isochrone method - Accessibility using the gravity-based method
- Implementation of Shens method
- Helps to compare the results from the isochrone
based method
26Methodology cont
- Isochrone based method.
- Based on the floating catchment area method (Luo,
Wang 2003) - Implemented in two steps
- First Step
- Voronoi diagram (catchment) is drawn around each
competitor - For each voronoi polygon j all the zones that lie
inside are identified and the turnover population
is calculated - for
all i within j - New population at zone i is
- Ei is calculated for all the zones i that are
within the catchment j.
27Methodology cont
- Isochrone based method.
- First Step cont
28Methodology cont
- Isochrone based method.
- Second Step
- An iscochrone is drawn around each zone
- Zone centroids lying inside the isochrone are
identified - The population of each zone calculated in the
first step is accumulated to the isochrone - Alternative approach using Intervening
Opportunity Model. - The model could be implemented in the first step
of the Isochrone method. - Instead of Voronoi diagrams Intervening
opportunity model could give more realistic
figures in terms of population turnover for each
zone.
29Methodology cont
- Isochrone based method.
- Second Step cont
Accessibility at zone 8 69.153.372.385.9190.2
125.6100.1 696.5
30Methodology cont
- Gravity based method.
- Implementation of the Shens formula
- Huff Model.
- The outcomes from the Accessibility analysis are
not capable of pinpointing the new location - Once the potential areas are identified, Huff
Model could be run for these areas to pinpoint
the suitable location
Ej is the population in zone j. Pk is the retail
stores present in zone k. f(Cij) and f(Ckj) are
the impedance between the zones
31Implementation in GIS Env
32Implementation in GIS Env
- Geodatabase.
- Designed in ArcCatalog
- Four Feature classes
- Isochrone (Stores Isochrones)
- Network ( Stores Road Network data)
- ODMatrix (Table with Origin and Destination data)
- Zones ( Stores boundary data- Block Groups)
33Implementation in GIS Env
- Isochrone Generation
- Network Analyst Service Area feature
- Impedance Minutes
- Isochrone generated for each block group centroid
- Analysis Setting
- Do not allow U-Turns
- Polygon type - Generalized
- Do not trim Polygons
34Implementation in GIS Env
- OD Matrix Generation
- Network Analyst OD Cost Matrix feature
- Impedance Street Length (Miles)
- OD Matrix generated between all the block group
centroids - 765 block groups, 765 x 765 585225 total
records - Analysis Setting
- Do not allow U-Turns
35Implementation in GIS Env
- Visual Basic Code
- Arc Objects
- Perform all the spatial related operations
- Isochrone generation
- Spatial join
- Copy objects
- Voronoi diagrams
36Implementation in GIS Env
- Visual Basic Code
- Microsoft ActiveX Data Object (ADO)
- Perform all the attribute data related operations
- Computation of distance decay parameter, ß
- Computation of Shens formula
- Why use ADO?
- Better performance
- Direct access to the geodatabase and manipulate
the data - Geodatabase can be accessed from other
application, like Microsoft Excel
37Result
(4 min Isochrone)
38Result
(ß 0.2)
39Result
- Comments on the maps
- Symbology based on Natural Breaks
- Central part of the city has higher accessibility
values - Better road network
- More people live in the central part
- Both methods give almost same accessibility
values for the outer part of the city. - Yellow color represents accessibility lt 8300
40Result
- Statistical analysis of accessibility measures
41Result
- Statistical analysis of accessibility measures
42Result
- Statistical analysis of accessibility measures
43Result
- Statistical analysis of accessibility measures
44Result
- Statistical analysis of accessibility measures
- Pearson Correlation coefficients
45Result
- Statistical analysis of accessibility measures
46Screenshots
47Conclusion
- Attempt has been made to implement two methods of
competitive accessibility for retail site
selection - Both the methods gave similar results except for
the inner part of the city - Isochrone method tends to give higher
accessibility values where there is better road
network - The correlation between the two methods is high
but the median value and the standard deviation
value did not match that well - Block level data is recommended for Isochrone
method
48Future Work
- Include marketing and social variables
- Differentiate population with vehicle and without
vehicle - Differentiate population with socioeconomic and
ethnicities - Compare competitive accessibility for different
time span
49Reference
- Ahmed M. El-Geneidy David M. Levinson 2006,
Access to Destinations Development of
Accessibility Measures, Minnesota Department of
Transportation. - Bhat, C., Handy, S., Kockelman, K., Mahmassani,
H., Chen, Q., Srour, I. Weston, L. 2001,
Assessment Of Accessibility Measures, Center for
Transportation Research, Bureau of Engineering
Research, THE UNIVERSITY OF TEXAS AT AUSTIN. - de Jong, 1996, Location profile-based measures as
an improvement on accessibility modelling in GIS,
Pergamon, New York. - Fotheringham, 1981, Spatial Structure and
Distance-Decay Parameters, Association of
American Geographers, Washington, etc.,. - Gatrell, A.C., Bailey, T.C., Diggle, P.J.
Rowlingson, B.S. 1996, "Spatial Point Pattern
Analysis and Its Application in Geographical
Epidemiology", Transactions of the Institute of
British Geographers, vol. 21, no. 1, pp. 256-274.
- Geurs, 2004, Accessibility evaluation of land-use
and transport strategies review and research
directions, Butterworth-Heinemann, London. - Handy, 2001, Evaluating Neighborhood
Accessibility Possibilities and Practicalities,
Bureau of Transportation Statistics, U.S. Dept.
of Transportation, Washington, D.C. - Hansen, 1959, How accessibility shapes land use,
American Planning Association, Washington,. - Harris, 2001, Accessibility concepts and
applications, Bureau of Transportation
Statistics, U.S. Dept. of Transportation,
Washington, D.C. - Harris, 1954, The Market as a Factor in the
Localization of Industry in the United States,
Association of American Geographers,
Washington, etc.,. - Hewko, 2002, Measuring neighbourhood spatial
accessibility to urban amenities does
aggregation error matter?, Pion, London.
50Reference
- Huff, 1963, A Probabilistic Analysis of Shopping
Center Trade Areas. Land Economics. vol. 39, no.
1, pp. 81 - Huff, 1964, Defining and Estimating a Trading
Area, The Journal of marketing. vol. 28, no. 3,
pp. 34 - Ingram, 1971, The concept of accessibility A
search for an operational form, Carfax Pub. Co.
etc., Oxfordshire etc.. - Kawabata, M. Shen, Q. 2006, "Job accessibility
as an indicator of auto-oriented urban structure
a comparison of Boston and Los Angeles with
Tokyo", Environment and Planning B Planning and
Design, vol. 33, no. 1, pp. 115 130. - Luo, 2003, Measures of spatial accessibility to
health care in a GIS environment synthesis and a
case study in the Chicago region, Pion Ltd.,
London. - O'Kelly, 2003, Aggregate accessibility to
population at the county level US 1940-2000,
Springer, Berlin. - Pooler, J. 1987, Measuring geographical
accessibility a review of current approaches and
problems in the use of population potentials.,
Pergamon Press, Oxford. - Shen, Q. 1998, "Location characteristics of
inner-city neighborhoods and employment
accessibility of low-wage workers", ENVIRONMENT
AND PLANNING B, vol. 25, no. 3, pp. 345-366. - Skov-petersen, H. 2001, "Estimation of
distance-decay parameters - GIS-based indicators
of recreational accessibility Hans
Skov-Petersen", ScanGIS, . - Song, 1996, Some Tests of Alternative
Accessibility Measures A Population Density
Approach, University of Wisconsin, Madison. - Srour, 2002, Accessibility Indices A Connection
to Residential Land Prices and Location Choices,
Neue Kritik, Frankfurt am Main. - Stewart, 1947, Empirical Mathematical Rules
concerning the Distribution and Equilibrium of
Population, American Geographical Society, New
York. - Stouffer, 1940, Intervening Opportunities A
Theory Relating Mobility and Distance, American
Sociological Review. vol. 5, no. 6. pp. 845-867. - van Wee, 2001, Accessibility measures with
competition, Butterworth-Heinemann, London.