TY - JOUR
T1 - Uncovering horizontal and vertical inequities of individual accessibility using mobile phone data
AU - Zhang, Jinmeng
AU - Chen, Bi Yu
AU - Fu, Chenxi
AU - Yuan, Zehao
AU - Wang, Donggen
N1 - The work described in this paper was supported by the National Natural Science Foundation of China (No. 42271473).
Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/6
Y1 - 2025/6
N2 - Reducing accessibility inequities among all individuals has been established as one of the sustainable development goals for fostering an equitable society. To address the limitations of conventional aggregated accessibility measures, this study quantifies individual-level accessibility inequities among 2.12 million phone users in Shenzhen, China, using mobile phone tracking data. The findings reveal significant horizontal and vertical inequities in individual accessibility, driven by both spatial disparities and interpersonal variations within residential areas. Human mobility significantly mitigates horizontal inequities by 33%-52% and vertical inequities by 40%-76% across three types of urban facilities, particularly benefiting users in regions with lower place accessibility. The study also identifies vulnerable individuals with low accessibility levels, emphasizing the joint influence of individual mobility and neighborhood facility availability. These findings provide new empirical insights into the mechanisms of accessibility inequities and offer methodological guidance for selecting appropriate accessibility measures in equity studies.
AB - Reducing accessibility inequities among all individuals has been established as one of the sustainable development goals for fostering an equitable society. To address the limitations of conventional aggregated accessibility measures, this study quantifies individual-level accessibility inequities among 2.12 million phone users in Shenzhen, China, using mobile phone tracking data. The findings reveal significant horizontal and vertical inequities in individual accessibility, driven by both spatial disparities and interpersonal variations within residential areas. Human mobility significantly mitigates horizontal inequities by 33%-52% and vertical inequities by 40%-76% across three types of urban facilities, particularly benefiting users in regions with lower place accessibility. The study also identifies vulnerable individuals with low accessibility levels, emphasizing the joint influence of individual mobility and neighborhood facility availability. These findings provide new empirical insights into the mechanisms of accessibility inequities and offer methodological guidance for selecting appropriate accessibility measures in equity studies.
KW - Accessibility inequity
KW - Behavioral geocomputation
KW - Human mobility
KW - Mobile phone data
KW - Shenzhen
UR - http://www.scopus.com/inward/record.url?scp=105002370035&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/science/article/pii/S1361920925001658?via%3Dihub
U2 - 10.1016/j.trd.2025.104755
DO - 10.1016/j.trd.2025.104755
M3 - Journal article
AN - SCOPUS:105002370035
SN - 1361-9209
VL - 143
JO - Transportation Research Part D: Transport and Environment
JF - Transportation Research Part D: Transport and Environment
M1 - 104755
ER -