An Accessibility Analysis for Urban Road Transport Network accessibility analysis by taxi GPS data mining

This study has developed a method to identify all regions with poor transport accessibility in city-wide level using GPS data generated by taxis. This approach is composed of four major steps, including travel pattern... [ view full abstract ]

This study has developed a method to identify all regions with poor transport accessibility in city-wide level using GPS data generated by taxis. This approach is composed of four major steps, including travel pattern modeling, accessibility measure building, region with poor accessibility detecting, and specific problem analyzing. Using GPS data collected from all taxis operating in Harbin city, China, the performance of this approach is tested. In total, 10 worst regions have been identified with accessibility measures reaching only 81.3% of the overall average across the city. A serious accessibility problem to filling stations has also been revealed, in which drivers from nearly 92.6% of the residential areas have to travel longer than 30 min to refill their vehicles. The experimental results demonstrate the potentials and effectiveness of the proposed method in detecting the current accessibility problems and assisting policy makers in improving accessibility situations across the city.