GPS Trajectory-Based Spatio-Temporal Variations of Traffic Accessibility under Public Health Emergency Consideration

Abstract

Medical services are essential to public concerns and living qualities. Facing new public health events, the spatio-temporal variation of healthcare accessibility can be different, which is ignored in the previous accessibility studies. In this paper, we study the spatio-temporal variation of healthcare accessibility and residents’ accessibility to the designated hospitals under public health emergencies such as COVID-19. Metropolitan Beijing is chosen as the study area. Then, we analyze the spatial disparity and the temporal variation and measure the matching degree between healthcare accessibility and population density. From the perspective of epidemic prevention, we evaluate the medical capacity of the designated hospitals. The autocorrelation method is used to analyze the spatial correlation of residents’ accessibility to designated hospitals in the study area. A conclusion can be drawn that 74.14% grids in the study area have proportionate population density and healthcare accessibility. We find that the 5th Medical Center has sufficient medical resources, and Puren hospital is less affected by time. Moreover, the result of residents’ accessibility to the designated hospitals presents a pattern of high-value aggregation in the arterial road neighborhood. At the same time, the peripheral areas show a trend of low-value aggregation. The research in healthcare accessibility can provide a reference for policymakers in medical service development and public emergency management.

Research on Spatial Accessibility Measurement Algorithm for Sanya Tourist Attractions Based on Seasonal Factor Adjustment Analysis

“…The reference [8] method According to Fig. 1, the fairness coefficients calculated by different methods in different time periods are different.…”

“…Therefore, the fairness coefficient is used to calculate the fairness level of spatial accessibility of tourist attractions in Sanya. Randomly select 10 time periods as experimental data samples, calculate the fairness coefficients for 10 time periods, and compare the fairness calculation results of the method of reference [7], the method of reference [8], and this article with the actual results. The comparison results of fairness coefficients between different methods are shown in Fig.…”

“…This method can quickly obtain the calculation results, but the data source is limited. Ma Shuhong [8] and others calculate the travel cost of public transport according to the data planned by real-time routes. Arcgis is used to analyze the accessibility of urban agglomerations, and theil index and fairness coefficient are used to get the difference characteristics of public transport accessibility.…”

How Does COVID-19 Affect Traffic on Highway Network: Evidence from Yunnan Province, China

“…Several studies have tried to quantify these impacts. In the United States, a study assessed traffic reduction after implementing stay-at-home orders in North Carolina and Virginia, which shows a decline in traffic up to 40% [22]. In addition, evidence from Florida also shows a dramatic drop of 47.5% in overall state-wide traffic after implementing state-wide policies to limit person-to-person interaction [10].…”

Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data

“…In addition to the region of interest and path recognition, scholars have also done a lot of research on spatiotemporal pattern extraction based on trajectory data, for example, the method of automatically extracting passenger train operation information from historical track data [23]. Dong et al [24] proposed a study on the temporal and spatial change of traffic accessibility under public health emergencies based on GPS trajectory. Lei et al and Zhao et al [25,26] proposed a spatiotemporal analysis model to capture the motion mode of the object.…”