Lalu Saheb K M.E- Infrastructure Senior Professor Engineering & … · 2016-04-19 · BITS Pilani,...
Transcript of Lalu Saheb K M.E- Infrastructure Senior Professor Engineering & … · 2016-04-19 · BITS Pilani,...
BITS Pilani Pilani Campus
Facility Location - Allocation using
ArcGIS:
A case study of Amaravati City,
Andhra Pradesh
Dr. Rajiv Gupta Senior Professor
Lalu Saheb K M.E- Infrastructure Engineering & Management
BITS Pilani, Pilani Campus
• Quantification of given facilities by location-allocation analysis
and OD cost matrix analysis in ArcGIS.
• By using OD cost matrix analysis, calculated accessibility
index for each origin and destination points.
• As per the accessibility index values, replaced the locations of
facilities in prioritizing order taken from questionnaires.
Aim and scope:
BITS Pilani, Pilani Campus
Introduction:
• Andhra Pradesh is building a new Capital City named
Amaravati.
• The Andhra Pradesh State Government has assigned a 7,325
km2 area for Capital Region.
• Amaravati is to be built in 391 square kilometres in Guntur
district, on the bank of the Krishna River.
• It will be 12 km north-west of vijayawada city and 20 km north-
east of Guntur city. It would comprise 33 villages in three
mandalas.
• The master plan is given by Singapore and The Japanese
companies are ready to associate in construction.
BITS Pilani, Pilani Campus
Specifications in the capital region:
Area 391 km2
Longitude 16.5662
Latitude 80.6160
Altitude 36m above the M.S.L
Annual rainfall 51.66 mm /year average
Monsoon July-September
Temperature Winter min(Nov-Jan)-110-190 Summer max(April-July)-200-300
Prevalent winds From north west to south east in Winter and
reverse in Summer
Total villages 33
Inhabited 33
Un-inhabited 0
Panchayats 27
Population 108746
Density population/ sq.km 891.5
Birth rate(1000 persons) 19.03
Death rate(1000 persons) 10.03
Infant mortality(1000 persons) 41.43
Sex ratio(female per 1000 males) 903
Decennial population growth literacy rate 39.04
Literacy rate 59.32
BITS Pilani, Pilani Campus
Agencies responsible for the plan preparation:
Land use planning and zoning
• Land use planning and
zoning (Under respective
T&CP Acts)
• Municipalities
• Development Authorities
• Town & country planning
agency
Transportation planning
• Multiple agencies (Urban
roads, public transport,
railways, metro, traffic
management)
• National, State level &
Local level
BITS Pilani, Pilani Campus
Incremental Phase I Phase 2 Phase 3
Employment (10 Years) (10 - 20 years) (20-35 years)
Government 46,096 4,432 11,524
IT / ITeS 51,062 58,422 1,56,542
Corporate Complex 24,692 31,727 1,06,931
Financial Hub 41,153 52,879 1,78,218
Start-up/Innovation hub 6,273 18,818 2,439
Education Hub 5,934 7,625 25,698
Industrial sectors 18,001 30,082 82,152
Indirect Employment 1,58,409 1,75,550 4,84,242
Total 3,51,620 3,79,534 10,47,747
Forecasted Population :
Table : Incremental employment
Population
in Million
Year 0 Phase 1
(10 years)
Phase 2
(10 -20 years)
Phase 3
(20-25 years)
Incremental Population 0.38 0.86 0.90 2.34
Total Population
(cumulative)
0.38 1.24 2.15 4.49
Cumulative population:
Source: CRDA, Government of Andhra Pradesh
Total projected population is 4.5 million and having population density of 10664 per sqkm,
Considered Employment vs population ratio 44.77.
BITS Pilani, Pilani Campus
This study integrates GIS and geospatial analytical methods
based on location allocation & OD cost matrix models with
the following objectives:
• To evaluate and assess the locations of facilities given in
approved master plan of new capital city.
• To find which part of the city might be seriously uncovered
and inaccessible from facilities within the standard
response distance.
• To find out if new facilities should be established in
strategic locations to under coverage or reallocation.
• Find optimal locations and reallocate facilities.
Methodology:
BITS Pilani, Pilani Campus
Framework for Optimal Facility Allocation:
Data Collection
Data Analysis
Defining
zones/ Locations
Quantification of
Facilities
Quantification Survey -1 Quantification Survey -2
Optimal Locations
and Re-allocation
of facilities
Origin –
Destination Cost
Matrix Analysis
Accessibility
Index
Re-allocation of
facilities
Network Analysis
BITS Pilani, Pilani Campus
Questioner results:
S.no. Facilities Ranking Preferred Distance (KM)
1 Hospitals 1 3
2 Schools 2 3
3 Colleges 4 5
4 Civic facilities 3 4
5 Fire station 5 4
6 Sports 10 2
7 Industries 8 12
8 Commercial 6 4
9 Safety management 7 4.5
10 Parks / Recreation 9 2
BITS Pilani, Pilani Campus
Framework for OD cost matrix analysis:
OD cost matrix layer created
Residential zones (shape files)
were loaded into the origin
point class
Priority
Ranking in
Questioner-1
Facilities (shape files) were
loaded into the destination
class
Run OD cost matrix analysis to get travel impedance measurement via
spatial analysis
Export Attribute tables to Excel sheets
OD matrices
Calculation of accessibility
index values
Graphical representation of
accessibility values
Reallocate the facilities as per
the ranking in questioner - 1
BITS Pilani, Pilani Campus
Consider :
Origins – Residential high (127 locations)
Destinations – Medical centres (126 locations)
Network lines – 127x126 = 16002 lines.
New OD cost matrix analysis:
BITS Pilani, Pilani Campus
• Here, I have exported the attribute table values I.e. origin
– destination distances for residential high to Medical
centres.
• In such a way that, exported 3 tables for below O-D’s:
• - Residential medium to medical centres
• - Residential low to medical centres
• - Residential mix to medical centres.
• Same procedure done for other facilities and exported
attribute tables in excel sheets.
• Finally got 32 maps & tables (4 Origins x 8 Destinations).
Conti…
BITS Pilani, Pilani Campus
Definition : Accessibility refers to the ability to reach desired
goods, services, activities and destinations Or measure of
the relative access of an area or zone to population,
employment, opportunities, and community services.
Accessibility Index:
Individuals, based
at home
Desired activities
at destinations
Link between
Individual & activity
BITS Pilani, Pilani Campus
• Considered preferred distance value shown in table.
• Distance Ratio = Preferred distance/Existing distance.
• Accessibility Index = Distance Ratio/Max. distance ratio
value.
• Next insert pivot table. In this add origin and accessibility
index values.
• Then we can get final accessibility index values for each
origin point i.e. sum of each origin point to all destination
point distances.
• Same way find out for all other facilities.
Calculations:
BITS Pilani, Pilani Campus
Calculations : (Eg.-Residential High to Hospitals):
ObjectI
D Name
Origin
ID
Destinat
io
Destinat
_1
Total_Len
g Act-dist Ratio Accessi
Row
Labels
Sum of
Accessi
1 Location 1 - Location 119 1 119 1 17.58110 3000 170.63782 0.106634 1600.219 1 0.266600301
2 Location 1 - Location 120 1 120 2 23.85659 3000 125.751426 0.078584 2 0.437608189
3 Location 1 - Location 117 1 117 3 260.15650 3000 11.5315205 0.007206 3 0.089223271
4 Location 1 - Location 14 1 14 4 449.72849 3000 6.67069146 0.004169 4 0.172041078
5 Location 1 - Location 16 1 16 5 526.58591 3000 5.6970761 0.00356 5 0.327750204
6 Location 1 - Location 32 1 32 6 568.85170 3000 5.27378222 0.003296 6 0.216248336
7 Location 1 - Location 89 1 89 7 614.54884 3000 4.88162989 0.003051 7 0.578675735
8 Location 1 - Location 124 1 124 8 623.53284 3000 4.81129427 0.003007 8 0.231758434
9 Location 1 - Location 74 1 74 9 660.49614 3000 4.54204014 0.002838 9 0.164523189
10 Location 1 - Location 52 1 52 10 666.55918 3000 4.50072562 0.002813 10 0.160358028
11 Location 1 - Location 93 1 93 11 866.61372 3000 3.46174994 0.002163 11 0.41795192
12 Location 1 - Location 88 1 88 12 907.10774 3000 3.30721464 0.002067 12 0.138118888
13 Location 1 - Location 86 1 86 13 960.70259 3000 3.12271458 0.001951 13 0.148024618
14 Location 1 - Location 66 1 66 14 1050.74881 3000 2.85510672 0.001784 14 0.224977382
15 Location 1 - Location 103 1 103 15 1172.88455 3000 2.55779651 0.001598 15 0.230886815
16 Location 1 - Location 17 1 17 16 1277.19961 3000 2.34888892 0.001468 16 0.129250885
17 Location 1 - Location 82 1 82 17 1434.89912 3000 2.09073931 0.001307 17 0.066696098
18 Location 1 - Location 58 1 58 18 1478.22317 3000 2.02946352 0.001268 18 0.168486757
19 Location 1 - Location 76 1 76 19 1728.91768 3000 1.73518961 0.001084 19 0.196844472
20 Location 1 - Location 3 1 3 20 1809.64077 3000 1.65778759 0.001036 20 0.199197515
BITS Pilani, Pilani Campus
• Take all the pivot tables in a single sheet and calculate
overall sum of all other facilities i.e. each origin point to
all the destination points of all the types of facilities.
• Continue the same for residential medium , residential
low & residential mix locations.
• We got the final accessibility index values for each
location.
Conti…
BITS Pilani, Pilani Campus
• Calculated accessibility index values to all the destination
points followed the same procedure.
• But here considered average preferred distance by
weighted average method.
Average preferred distance= 186/45 = 4.3 km
Conti…
BITS Pilani, Pilani Campus
Conti..
• Then take all the pivot tables in a single excel file. And
sort out in a single column in ascending order of
accessibility values.
• Next replace the facility locations as per the priority
ranking wise taken in questionnaire – l
BITS Pilani, Pilani Campus
• In this case, all residential locations (origin) taken in a
single shape file (append) and all facility (Destination)
location shape files merged in a separate append shape
file.
• Then loaded these shape files to the OD cost matrix origin
& destination classes.
• Continue the same procedure described above and
consider average preferred distance by weighted average
method.
• Here 452 habitants loaded into the origin class and facility
append file having 652 locations loaded into the facility
point class.
Result - II:
BITS Pilani, Pilani Campus
Reallocation of facilities:
Row Labels Sum of Accessi New id Relocate Row Labels Sum of Accessi New id Relocate Row Labels
Sum of Accessi New id
School-115 83035.31331 0 Hospital Medical-54 6695.404 21 Hospital School-133 5358 43
School-44 64871.33998 1 Hospital Recreation-4 6486.528 22 Hospital Civ-52 5344 44
School-54 39450.78842 2 Hospital Comme-88 6334.798 23 Hospital School-31 5274 45
Comme-69 35957.02627 3 Hospital School-13 6213.658 24 Hospital Civ-53 5270 46
Medical-124 19150.24393 4 Hospital School-131 6105.874 25 Hospital School-145 5236 47
School-116 14522.77526 5 Hospital School-118 5954.447 26 Hospital Civ -46 5129 48
School-126 11802.91009 6 Hospital School-42 5950.746 27 Hospital Comme-29 5126 49
School-123 10688.31119 7 Hospital Comme-173 5931.2 28 Hospital School-66 5076 50
Sports-30 10570.33163 8 Hospital Comme-79 5848.667 29 Hospital School-43 4978 51
School-57 10374.80088 9 Hospital Civ -54 5823.921 30 Hospital School-142 4945 52
School-104 9974.52543 10 Hospital Medical-122 5807.438 31 Hospital School-125 4909 53
School-9 9162.615504 11 Hospital Civ -47 5794.932 32 Hospital School-6 4822 54
School-86 9106.234126 12 Hospital School-55 5675.643 33 Hospital School-36 4818 55
Medical-56 9089.22659 13 Hospital Civ-39 5652.144 34 Hospital Civ-3 4767 56
School-120 8454.751443 14 Hospital School-78 5641.86 35 Hospital Comme-9 4747 57
School-3 8417.347366 15 Hospital Comme-20 5632.85 36 Hospital School-84 4746 58
School-155 7996.716942 16 Hospital Colleges-1 5554.045 37 Hospital Medical-123 4653 59
School-81 7566.523186 17 Hospital Medical-41 5477.904 38 Hospital Comme-2 4646 60
School-79 7289.894539 18 Hospital Medical-42 5454.202 39 Hospital Civ -50 4631 61
Medical-36 6768.587767 19 Hospital School-64 5404.398 40 Hospital Colleges-19 4609 62
School-35 6754.243245 20 Hospital Colleges-3 5391.01 41 Hospital Comme-18 4597 63
Medical-54 6695.404038 21 Hospital School-15 5385.158 42 Hospital School-83 4575 64
BITS Pilani, Pilani Campus
• In this research study, accessibility is the main object but
population density not considered.
• If we consider population densities along with
accessibility index value methodology, then we can get
better accurate results.
• As per these values, we can find the habitants which are
not serving by the particular facility or too far from facility
then subsequently increase the number of facility
locations or reallocate the facilities to bridge the gaps.
Recommendations:
BITS Pilani, Pilani Campus
• In this study, we are suggesting a better facility allocation.
• Considered quantification for all the facilities and habitants
at a time rather than considering single facility, because
facilities to be reallocated in a prioritizing order.
• Bus stops, WTP, water distribution plants, electrical power
plants locations not considered because special surveys
to be done for those locations9529318296.
Conclusion: