TY - GEN
T1 - City-Wide Examining Transport Network Accessibility Using Taxi GPS Data
AU - Cui, Jianxun
AU - Liu, Feng
AU - Janssens, Davy
AU - Shi, An
AU - Wets, Geert
N1 - Publisher Copyright:
© ASCE.
PY - 2015
Y1 - 2015
N2 - This study has developed a city-wide method to identify all regions with poor transport accessibility using GPS data generated by taxis. This approach is composed of four major steps, including travel pattern modeling, accessibility measure building, detecting regions with poor accessibility, and analyzing specific problems. Using GPS data collected from all taxis operating in the Chinese city of Harbin, 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 discovered, in which drivers from nearly 92.6% of the residential areas have to travel longer than 30 minutes to refill their vehicles. The experimental results demonstrate the potential and effectiveness of the proposed method in detecting accessibility problems and assisting policy makers in improving accessibility situations across the city.
AB - This study has developed a city-wide method to identify all regions with poor transport accessibility using GPS data generated by taxis. This approach is composed of four major steps, including travel pattern modeling, accessibility measure building, detecting regions with poor accessibility, and analyzing specific problems. Using GPS data collected from all taxis operating in the Chinese city of Harbin, 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 discovered, in which drivers from nearly 92.6% of the residential areas have to travel longer than 30 minutes to refill their vehicles. The experimental results demonstrate the potential and effectiveness of the proposed method in detecting accessibility problems and assisting policy makers in improving accessibility situations across the city.
UR - https://www.scopus.com/pages/publications/84953305158
U2 - 10.1061/9780784479292.332
DO - 10.1061/9780784479292.332
M3 - 会议稿件
AN - SCOPUS:84953305158
T3 - CICTP 2015 - Efficient, Safe, and Green Multimodal Transportation - Proceedings of the 15th COTA International Conference of Transportation Professionals
SP - 3588
EP - 3599
BT - CICTP 2015 - Efficient, Safe, and Green Multimodal Transportation - Proceedings of the 15th COTA International Conference of Transportation Professionals
A2 - Yan, Xuedong
A2 - Zhang, Yu
A2 - Yin, Yafeng
PB - American Society of Civil Engineers (ASCE)
T2 - 15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015
Y2 - 24 July 2015 through 27 July 2015
ER -