CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Xiao-guang RUAN. How fast is it to city centers? The average travel speed as an indicator of road traffic accessibility potential[J]. Journal of Zhejiang University Science A, 2022, 23(8): 621-638.
@article{title="How fast is it to city centers? The average travel speed as an indicator of road traffic accessibility potential",
author="Xiao-guang RUAN",
journal="Journal of Zhejiang University Science A",
volume="23",
number="8",
pages="621-638",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2100435"
}
%0 Journal Article
%T How fast is it to city centers? The average travel speed as an indicator of road traffic accessibility potential
%A Xiao-guang RUAN
%J Journal of Zhejiang University SCIENCE A
%V 23
%N 8
%P 621-638
%@ 1673-565X
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2100435
TY - JOUR
T1 - How fast is it to city centers? The average travel speed as an indicator of road traffic accessibility potential
A1 - Xiao-guang RUAN
J0 - Journal of Zhejiang University Science A
VL - 23
IS - 8
SP - 621
EP - 638
%@ 1673-565X
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2100435
Abstract: Transportation is the lifeblood of a modern metropolis. Accessibility generally refers to the interconnection between nodes in a regional traffic network. The purpose of the paper is to obtain more realistic and accurate measures of travel speed and to study the road traffic accessibility potential in cities. This study proposes a method for analyzing road traffic accessibility potential which is based on the average travel speed to city centers in off-peak times and which ranks 80 cities around the world. Based on the Suomi National Polar-Orbiting Partnership satellite’s visible-infrared imaging radiometer suite (NPP-VIIRS) night-time light data, urban built-up areas and city centers were extracted. Further, with the aid of the google Maps application programming interface (API) network crawling technique, travel times and travel distances for several optimal routes to city centers by car were obtained. Feasible proposals for improving road traffic accessibility and planning urban transportation in different cities are presented. The proposed method offers a new possibility of analyzing traffic accessibility using internet data and geo-spatial methods.
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