Exploring Spatial Patterns of Interurban Passenger Flows Using Dual Gravity Models.

ABSTRACT: Geographical gravity models can be employed to quantitatively describe and predict spatial flows, including migration flows, passenger flows, daily commuting flows, etc. However, how to model spatial flows and reveal the structure of urban traffic networks in the case of missing partial data is still a problem to be solved. This paper is devoted to characterizing the interurban passenger flows in the Beijing-Tianjin-Hebei region of China using dual gravity models and Tencent location big data. The method of parameter estimation is the least squares regression. The main results are as follows. First, both the railway and highway passenger flows can be effectively described by dual gravity models. A small part of missing spatial data can be compensated for by predicted values. Second, the fr

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9778205 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature