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Design Example: Alignment of a Road Line Using GIS

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Related Experiment Video

Updated: Aug 28, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Constructing a simplified interurban road network based on crowdsourced geodata.

Rafael Prieto-Curiel¹, Inhoi Heo², Abel Schumann²

¹Complexity Science Hub Vienna, Josefstädter Str. 39, Vienna 1080, Austria.

|September 19, 2022

Summary

We developed a method to simplify complex road networks into a connected urban graph. This approach maintains road distances and connectivity for better transport analysis.

Keywords:

Africa OpenStreetMap Spatial network

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Area of Science:

Urban Planning
Network Analysis
Geographic Information Systems (GIS)

Background:

Analyzing national road networks is crucial for understanding transport, connectivity, and urban development.
Existing road infrastructure data is often complex, fragmented, and challenging to process for network analysis.

Purpose of the Study:

To present a novel method for constructing a simplified and connected urban network.
To represent cities and infrastructure as nodes in a manageable network.

Main Methods:

Developing a procedure to consolidate millions of spatial points into a connected graph.
Identifying and defining 'cities' and 'transport nodes' (e.g., road crossings).
Ensuring the resulting network preserves essential road distances and connectivity.

Main Results:

A simplified, connected urban network is generated from complex spatial data.
The network effectively represents cities and road infrastructure with reduced complexity.
The method successfully integrates disconnected road segments into a cohesive structure.

Conclusions:

The proposed method offers an efficient way to model national road networks.
This simplification facilitates improved analysis of transport routes and urban connectivity.
The approach transforms vast, disconnected spatial data into a valuable analytical tool.