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.
Summary
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.
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.
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