Establishing a Comprehensive Spatial Data Framework to Support Road Design and Maintenance Activities Using GIS and Open Source Data

This study aims to establish a Comprehensive Spatial Data Framework (CSDF) utilizing GIS and road design software to enhance road design activities in Jazan City, aligning with the Kingdom's Vision 2030. The CSDF consists of soil tests, road design, and cost estimation. AutoCAD Civil 3D is employed for road geometric design in accordance with the American Association of State Highway and Transportation Officials (AASHTO) standards and the Saudi code. The CSDF model for the Jazan road network is developed using ArcGIS 10.4. This study focuses on the Alshawajra Road, which connects University Road with Alshawajra Road. The road spans 1000 meters in length and is 28 meters wide. The methodology outlined in this paper consists of four sections: the first discusses the literature review and road design principles; the second emphasizes the survey data required; the third addresses soil collection for testing, including California Bearing Ratio (CBR), Standard Proctor, and sieve analysis. The final section covers the design of the road network and the creation of a geodatabase. The findings indicate that the third version of the proposed design is the most effective, with the total construction cost amounting to 1,233,706.17 Saudi Riyals. Additionally, the CSDF model for Jazan city roads was established, which is vital for the simplicity of data recording and updating, serving as a reference for infrastructure planning and maintenance.

Authors

Publication Details

Journal
The Saudi Journal of Applied Sciences and Technology
Published
2025-04-24
DOI
https://doi.org/10.63908/31fkke38
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishing a Comprehensive Spatial Data Framework to Support Road Design and Maintenance Activities Using GIS and Open Source Data

Mahmoud Abdelrahim Abdelgiom
The Saudi Journal of Applied Sciences and Technology
Geographic Information Systems Studies
article

Establishing a Comprehensive Spatial Data Framework to Support Road Design and Maintenance Activities Using GIS and Open Source Data

Mahmoud Abdelrahim Abdelgiom
article en

Abstract

This study aims to establish a Comprehensive Spatial Data Framework (CSDF) utilizing GIS and road design software to enhance road design activities in Jazan City, aligning with the Kingdom's Vision 2030. The CSDF consists of soil tests, road design, and cost estimation. AutoCAD Civil 3D is employed for road geometric design in accordance with the American Association of State Highway and Transportation Officials (AASHTO) standards and the Saudi code. The CSDF model for the Jazan road network is developed using ArcGIS 10.4. This study focuses on the Alshawajra Road, which connects University Road with Alshawajra Road. The road spans 1000 meters in length and is 28 meters wide. The methodology outlined in this paper consists of four sections: the first discusses the literature review and road design principles; the second emphasizes the survey data required; the third addresses soil collection for testing, including California Bearing Ratio (CBR), Standard Proctor, and sieve analysis. The final section covers the design of the road network and the creation of a geodatabase. The findings indicate that the third version of the proposed design is the most effective, with the total construction cost amounting to 1,233,706.17 Saudi Riyals. Additionally, the CSDF model for Jazan city roads was established, which is vital for the simplicity of data recording and updating, serving as a reference for infrastructure planning and maintenance.

The Saudi Journal of Applied Sciences and TechnologyVol. 1(1)
Openalex Percentile: Top 81%
Geographic Information Systems Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.