Citation

Xia T, Song X, Zhang H, Song X, Kanasugi H, Shibasaki R. Health Place 2019; 56: 53-62.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.healthplace.2019.01.012

PMID

unavailable

Abstract

Medical accessibility is an important indicator for evaluating the effectiveness of public health services. However, the previous medical accessibility studies mainly focus on spatial accessibility without considering temporal variation in population distribution which is significant for evaluating access to emergency medical service (EMS). This paper proposes a model of spatio-temporal accessibility to EMS called ST-E2SFCA based on adapting the enhanced two-step floating catchment area (E2SFCA) method. We apply our method to the greater Tokyo area for a large volume of GPS dataset with millions of users and compare the accessibility difference over space and time. To evaluate our model, we also analyze the distinction of our model over different weight sets and compare the performance of ST-E2SFCA with the traditional E2SFCA. The result shows that our method can illustrate the temporal difference and is suitable for measuring the spatio-temporal accessibility to EMS, thus can guide the hospital location selection and urban planning.

Language: en

Keywords

Big data; Emergency medical services; Enhanced Two Step Floating Catchment Area; Spatio-temporal analysis