Network Analysis using GIS Techniques navigation network mapping for transportation.pdf

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Network Analysis using GIS Techniques
BAKHAT ALI
Institute of Geoinformatics and Earth Observation,
Pir Mehr Ali Shah Arid Agriculture University Rawalpindi , Punjab, Pakistan
bakhtali21uaar@gmail.com
Abstract:
This study harnesses ArcGIS-based network analysis to evaluate the efficiency of essential
services, including hospitals, schools, and fire stations, in Muzaffargarh, Pakistan. By leveraging
high-resolution Google Earth imagery and advanced geo-referencing techniques, we
meticulously digitized the city's intricate road network and pinpointed service locations. The
network analysis tool was then employed to quantify service efficiency, focusing on critical
metrics such as travel time and distance. This detailed analysis revealed significant spatial
discrepancies in service allocation, providing actionable insights and strategic recommendations
for optimizing the distribution of these vital services to enhance accessibility and efficiency for
the city's residents. Furthermore, the study identifies areas with inadequate service coverage and
suggests targeted interventions to address these gaps. By implementing these recommendations,
local authorities can improve emergency response times, ensure equitable access to education
and healthcare, and ultimately foster a more resilient and well-served community. This
innovative approach serves as a model that can be adapted and applied to other cities facing
similar challenges worldwide, setting a benchmark for urban service efficiency.
Keywords: Efficiency, GIS, Network Analysis, Optimization, Services, Accessibility.

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Contents
Abstract:..................................................................................................................................1
1 Introduction: .....................................................................................................................2
1.1 Aim: ...............................................................................................................................2
1.2 Objective: .......................................................................................................................2
2 Methodology........................................................................................................................3
2.1 FLOWCHAR:..............................................................................................................3
2.2 Study Area:.....................................................................................................................4
2 .3 Datasets: ........................................................................................................................4
3 Material and Methods..........................................................................................................5
3.1 Geo-data base Creation ................................................................................................5
3.2 Data processing ...............................................................................................................6
3.3Network Analysis: ............................................................................................................7
4 Results : ................................................................................................................................8
5 Discussion: ............................................................................................................................9
6 Conclusion: ...........................................................................................................................9
References:..................................................................................................................................9
1 Introduction:
Geographic Information System (GIS) integrates spatial and non-spatial data for comprehensive
analysis, supporting urban planning and transportation management. The ArcGIS Network
Analyst extension provides advanced network-based spatial analysis, facilitating efficient travel
routing, service area definition, and resource allocation.
1.1 Aim:
To conduct a comprehensive network analysis of Muzaffargarh city utilizing advanced GIS
techniques to enhance urban planning and service delivery.
1.2 Objective:
• To identify the most efficient travel routes within Muzaffargarh.
• To define optimal service areas for different facilities such as hospitals, schools, etc.

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2 Methodology
2.1 FLOWCHAR:
Figure 1: Enhanced Network Analysis Process Flow Diagram

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2.2 Study Area:
Muzaffargarh, located in the southwestern region of Punjab, Pakistan .Muzaffargarh, Punjab,
Pakistan is located at Pakistan country in the Cities place category with the GPS coordinates of
30° 4' 27.7572'' N and 71° 11' 4.7544'' E.
Figure 2: Muzaffargrh study area map
2 .3 Datasets:
Data acquisition for this study involved the collection of satellite imagery, road network data,
and point data for facilities such as hospitals, education data , and popular place Muzaffargarh.
High-resolution satellite imagery from sources like Google Earth was obtained and geo-
referenced to ensure accuracy in spatial analysis. Road network data, including information on
road types, traffic flow, and connectivity, were sourced from local government agencies and
digital maps.

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3 Material and Methods
3.1 Geo-data base Creation
For generating Geo-database following data has been used.
Figure 3: Network analysis database
• Chandigarh city base map using Google imagery
• City road network Shape file
• Shape file of public services such as hospital, schools, colleges and fire station.

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3.2 Data processing
For the data processing following steps were taken:
Figure 4:Network GEO-DATASET
• Geo-referencing of MUZAFFARGRH BASEMAP (World Street Map).
• Generation of Shape file of hospitals, education and ,populated _place.
• Digitization of road network
• Generate topology
• Generating Network Geo-dataset

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3.3Network Analysis:
❖ Set time and distance:
Figure 5:Sat time and distance
• Add Fields distance ,time and speed
• Calculate distance in meters
• Give Speed =40000 m (car speed)
• TIME= distance /speed/60 minutes
❖ Network data sat:
Figure 6:Network DATASET
• Created NETWORKS DATASAT
• ADD FERATH CLASS Road ‘hospitals, education and ,populated _place.

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4 Results :
Figure 7: Muzaffargrh _network Analysis

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5 Discussion:
There is therefore the possibility of using a network analysis based on GIS to calculate the time
and cost of travel between various places within Muzaffargarh District, taking into consideration
the shortest distances between two points. Several other heads have also been described which
are deemed crucial crossing over the ChenabRiver namely the Head Sulaiman Bridge, Rangpur
Head, Jhang Head, Kotla Head, Ghazipur Head, Khurrianwala Head, Bait Mirza Head, Sultanpur
Head, Ali Pur Head and last but not lease Basit Pur Head. The network analysis starts by
mapping out all possible routes between Muzaffargarh City and the neighboring towns: Namely;
Multan, Alipur, Kot Addu, Jatoi South, Sitapur, Dera Ghazi Khan, Pay-Jamal, and Munda Road.
Each proposed route is rated according to the distances that a car would need to travel, average
traffic conditions, and possible tolls or crossing fees. For example, the travelling time between
Muzaffargarh and Multan might be lesser through a route covering the Head Sulaiman Bridge
owing to its less number of curves and proper construction. On the other hand, reaching Alipur
may take lesser time through Ali Pur if it is further away and the traffic signal problems are less.
It also helps in exploring specific routes that might be less time consuming and cheaper when it
comes to travelling and fortifying a network in Muzaffargarh District.
In order to identify whether present facility in Muzaffargarh District provides adequate and
satisfactory infrastructural and utilities services a survey was conducted on the present state of
Hospitals, Schools and Colleges and other built up places and known localities was done on the
basis of time and distance. This entailed geographically overlaying the various service delivery
areas for schools, colleges, and universities to ascertain the accessibility of service delivery in
relation to time buffers to enhance the delivery coverage. Hospitals were also placed under
scrutiny, whereby service areas were determined to reveal areas that require faster response to
emergency cases or health care facility availability. In order to evaluate the canopy and
community engagement of ubiquitous locations, certain everyday places which are congested
with people were selected including parks, markets and cultural hubs
6 Conclusion:
Defined the network analysis using GIS techniques has provided valuable insights into the
efficiency of services and transportation (short routing )infrastructure in Muzaffargarh. By
identifying areas located in for improvement and optimization, this study can inform urban
planning decisions aimed at enhancing service delivery and improving the overall quality of life for
residents.
References:
[1] http://chandigarh.gov.in/knowchd_general.htm
[2] Facility, Closest, and Service Area Analysis. “ArcGISNetwork Analyst.”
[3] Fang, Kun, Polygon Based Model, and Xu Yiqin. “Gis Network Analysis in Rescue of Coal Mine.” (2001)
[4] http://help.arcgis.com/en/arcgisdesktop/10.0/pdf/network-analyst-tutorial.pdf
[5] Smith, Richard C, David L Harkey, and Bobby Harris. “Implementation of GIS-Based Highway Safety
Analyses : Bridging the Gap.” January (2001)
[6] http://webhelp.esri.com/arcgisdesktop/9.2/pdf/Network_Analyst_Tutorial.pdf

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