TY - JOUR
T1 - Spatial disparities of Uber accessibility: An exploratory analysis in Atlanta, USA
AU - Wang, Mingshu
AU - Mu, Lan
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Inequality of accessibility in transportation systems is a constant concern, which is intensified by the transportation economization process and the digital divide. How should the accessibility of crowdsourced transportation is measured and understood? Without any prior assumption, this paper openly explores spatial disparities of accessibility in the city of Atlanta, USA using both the UberX (the most popular Uber product) and the UberBLACK (the premium Uber product) data. Accessibility is measured by both the expectation and variability of Uber wait time. With spatial autoregressive models, we find that after controlling for other socioeconomic factors, wealth and race do not have significant associations with Uber accessibility. Additionally, higher road network density, population density, and less commuting time to work correlate with greater Uber accessibility. More public transport stops are related to better accessibility of UberX but worse accessibility of UberBLACK. Finally, implications for policy-makers are provided.
AB - Inequality of accessibility in transportation systems is a constant concern, which is intensified by the transportation economization process and the digital divide. How should the accessibility of crowdsourced transportation is measured and understood? Without any prior assumption, this paper openly explores spatial disparities of accessibility in the city of Atlanta, USA using both the UberX (the most popular Uber product) and the UberBLACK (the premium Uber product) data. Accessibility is measured by both the expectation and variability of Uber wait time. With spatial autoregressive models, we find that after controlling for other socioeconomic factors, wealth and race do not have significant associations with Uber accessibility. Additionally, higher road network density, population density, and less commuting time to work correlate with greater Uber accessibility. More public transport stops are related to better accessibility of UberX but worse accessibility of UberBLACK. Finally, implications for policy-makers are provided.
KW - Accessibility
KW - Crowdsourced transportation
KW - Disparity
KW - Spatial autoregressive model
KW - Uber
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/wang_spa.pdf
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/http://10.1016/j.compenvurbsys.2017.09.003
U2 - 10.1016/j.compenvurbsys.2017.09.003
DO - 10.1016/j.compenvurbsys.2017.09.003
M3 - Article
VL - 67
SP - 169
EP - 175
JO - Computers, environment and urban systems
JF - Computers, environment and urban systems
SN - 0198-9715
ER -