Retail Location Format

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    Retail Store

    Location Analysis

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    Classification of Retail locationsCentral Business District – Main Shopping Centre of city

    M G Road, JM Road, Laxmi Road, une

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    Secondary Business District – !C Road, "ar#e Road, "had$i

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    %ypes of Retail locationsSu&ur&an Business District

    "alyani nagar,une

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    %ypes of Retail Store locations

    'igh(ay location

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    !ree standing location )stand alone stores*

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    Specialized Markets

    + -ppa Bal(ant Cho($ – Boo$s

    . Budh(ar eth – /lectrical goods

    0 Junna Ba1aar – 2ld goods

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    Retail store/

    Shopping centre

    rimary area

    Secondary area

    %ertiary area

     - trade area is a geographic area from (here the store3 shopping

    centre dra(s its maximum customers

    Catchment 3 %rade area analysis

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    Index of retail saturation (IRS)The Index of Retail Saturation (IRS) is a measure of the

    potential sales per square foot of store space for a

    given product line within a particular market area

    Retail Location %heories

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    Index of Retail Saturation (IRS)

    where IRS index of retail saturation

    ! the nu"#er of households in the area

    R$ a%erage retail expenditures for a particular product line per household or perperson in the area

    R& retail facility (s'uare feet space) allocated to the product line

     

    IRS (! R$)/R&

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    Market Area A Market Area Market Area !

     Number of Customers (C) 4555 6555 7555

    Retail Expenditures (RE) PerPerson (Rs)

    +55 +.5 +55

    Retail Facilities (RF) in SquareFeet

    +555 +.55 +655

    Index of Retail Saturation (IRS) Rs/square feet

    Assume tat a retail operation needs sales of Rs !"# per square feet of sellin$

    space for a $i%en product line to operate profitabl& 

    455 655 48887

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    'uff9s La(

    : %he pro&a&ility that a consumer (ill patroni1ea gi#en shopping area or store depends on

    :  distance or tra#el time from the shoppingarea or store

    :   si1e of the shopping area or store: effect of tra%el ti"e on different kinds of

    shopping trips

    (effect of travel time on the type of productsto be purchased)

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    'uff9s Model !ormula

     trip'soppin$ 

    of (indontimetra%elof effecttereflectstatof exponentAn

    center  

    soppin$ point tostartin$scustomer)fromdistanceortime*ra%el

    centersoppin$of Si+e 

    centersoppin$ particular  

    atotra%elin$ori$inof  point$i%enaatcustomeraof &Probabilit

    ,ere

    ijT  b 

    ijT  

     j j

      S 

     j

    iij

     P  

    n

    1 j

    b

    ijT  jS 

    bijT 

     jS 

    ij P  

    =

    =

    =

    =

    ∑= ÷

    ÷=

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    P ij   *+++ ,-

    (*+++ ,-) . (++ -) . (*++ *-)

    0ro#a#ility +12

    +12 x *-3+++ students 345+ custo"ersAssu"e each custo"er spends a%erage Rs *+

    345+ custo"ers x Rs*+ Rs 2513+++

    : Repeat steps for the remaining areas and then add them to

    estimate sales of entire geographic area

    ro&a&ility that student (ill shop at Mar$et +

     -ssuming +.555 students

    Mar$et +Mar$et .

    Mar$et 0

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    Reilly;s La( of Retail Gra#itation 

    *-o cities attract retail trade from an intermediate cit&

    or to-n in te %icinit& approximatel& in direct

     proportion to te populations of te t-o cities and inin%erse proportion to te square of te distances from

    te t-o cities to te intermediate to-n'

    A .

    City - City B

    0# miles

    1# miles

    Pop23######Pop20######

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    *e matematical expression of Reill&4s &potesis is as

    follo-s2

    .'andAcit&to-n toteintermediatefromdistancete56

    .'andAcit&of  populationte56

    .'andAcit& b&attractedcit&

    teintermediatefromtradeteof  proportionte6,ere

    0

    ba

    ba

    ba

    a

    b

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     D D

     P  P 

     B B

     D

     D

     P 

     P 

     B

     B

       

      

        

      

     =

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    An example of Reill&4s model2

    A .

    0# miles 1# miles

    Pop23######Pop20######

    30"'30#

    1#

    0######

    3######00

    =  

      

       

      

     =   

     

     

     

       

     

     

     =

    a

    b

    b

    a

    b

    a

     D

     D

     P 

     P 

     B

     B

    *e percenta$e of te population of to-n 7x8

    attracted to cit& A is "196 to cit& . is !:9'

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    Brea$ing oint

    In 3;!:6 te Curtis Publisin$ Compan& adopted Reill&4s formula

    to calculate te breain$ point bet-een t-o cities' Suc a

     boundar& line represents te dominant tradin$ areas for cit& A

    and .'

    .'andA bet-eendistancete5

    .'andAcit&of  populationte56

    .'frommilesin.cit&andAcit& bet-een point brea(in$te,ere

    3

    ab

    ba

    b

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    a

    abb

     D

     P  P 

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    +=

    A .

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    Brea$ing oint )Cont*

    An example of tis formulation2

    A .

    "# miles

    Pop23######Pop20######

    miles

     P 

     P 

     D B

    b

    a

    ab

    b 0