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An Optimal Local Connectivity-Based Rasterization Method to Support Transport Accessibility and Resilience Analysis.

Hui Zhang¹, Ouyang Min², Kairui Feng³

¹School of Information Management, Wuhan University, Wuhan, China.

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|February 9, 2026

Summary

This summary is machine-generated.

Calculating travel time for large-scale transport networks is challenging. This new method accurately estimates travel time, improving transport accessibility and resilience analysis for sustainability.

Keywords:

accessibility local‐connectivity rasterization resilience road network

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Area of Science:

Transportation Science
Computational Geography
Network Analysis

Background:

Accurate travel time calculation is crucial for transport accessibility and resilience modeling, especially for large-scale, all-modal networks.
Existing vector-based and raster-based methods present limitations in accuracy, computational efficiency, and handling off-network movement.
These challenges hinder informed sustainability-oriented transport decisions.

Purpose of the Study:

To develop a novel method for rasterizing transportation networks that accurately and efficiently calculates travel time.
To enable seamless integration of all travel modes for enhanced accessibility and resilience analysis.
To support sustainability-oriented decision-making in transportation planning.

Main Methods:

Proposed an optimal local connectivity-based method for rasterizing transportation networks.
Integrated all travel modes to facilitate fastest travel time-based analysis.
Conducted experimental studies on global road networks, theoretical lattice analyses, and random planar graph simulations.

Main Results:

The proposed method demonstrates remarkably accurate and rapid estimation of travel time across diverse network conditions.
Validated through experimental studies on worldwide road networks and simulations.
Showcased capability in various network complexities and scales.

Conclusions:

The optimal local connectivity-based method offers a significant advancement in travel time calculation for large-scale, all-modal transport networks.
Successfully applied to national-scale accessibility mapping and resilience estimation, proving its practical utility.
Provides a robust tool for research and policy needs in sustainable transportation.