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Accessibility under competition: An implementation in a GIS environment

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Title: Accessibility under competition: An implementation in a GIS environment


1
Accessibility under competition An
implementation in a GIS environment
POEC 6389 GIS Masters Project
  • By Binod Adhikari

2
Introduction
  • 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)

3
Introduction 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

4
Scenario
  • 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

5
Introduction 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

6
Objective
  • 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

7
Literature 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

8
Literature 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
9
Lit 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
10
Lit 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
11
Lit 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
12
Lit 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
13
Lit 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
14
Lit 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

15
Lit Review - Methods cont
16
Lit 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

17
Lit 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

18
Lit 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

19
Lit 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

20
Lit Review - Methods cont
  • Intervening Opportunity Model

21
Data
  • Boundary data (Block Groups) US Census Bureau

22
Data
  • 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
23
Data
  • Demographic Data US Census Bureau

24
Data
  • Retail Data Research Department, Archon Group

Major Retailers Wal-Mart, Target and H-E-B
25
Methodology
  • 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

26
Methodology 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.

27
Methodology cont
  • Isochrone based method.
  • First Step cont

28
Methodology 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.

29
Methodology cont
  • Isochrone based method.
  • Second Step cont

Accessibility at zone 8 69.153.372.385.9190.2
125.6100.1 696.5
30
Methodology 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
31
Implementation in GIS Env
32
Implementation 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)

33
Implementation 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

34
Implementation 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

35
Implementation in GIS Env
  • Visual Basic Code
  • Arc Objects
  • Perform all the spatial related operations
  • Isochrone generation
  • Spatial join
  • Copy objects
  • Voronoi diagrams

36
Implementation 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

37
Result
(4 min Isochrone)
38
Result
(ß 0.2)
39
Result
  • 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

40
Result
  • Statistical analysis of accessibility measures

41
Result
  • Statistical analysis of accessibility measures

42
Result
  • Statistical analysis of accessibility measures

43
Result
  • Statistical analysis of accessibility measures

44
Result
  • Statistical analysis of accessibility measures
  • Pearson Correlation coefficients

45
Result
  • Statistical analysis of accessibility measures

46
Screenshots

47
Conclusion
  • 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

48
Future 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

49
Reference
  • 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.

50
Reference
  • 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.
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