activity
20172026
most citedThe Dependence of Frequency Distributions on Multiple Meanings of Words, Codes and Signs

5 citations · 6 across the 8 of their papers we have counts for

collaborators

12 papers

physics.soc-ph2026

Mechanism underlying the scaling law of home-return probability in human mobility

Haoying Niu, Xiao-Yong Yan

Individual daily mobility exhibits a striking scaling law: the probability of returning home after a tour of locations decays as . While the tour-ter…

physics.soc-ph2022

Structure and evolution of urban heavy truck mobility networks

Yitao Yang, Bin Jia, Erjian Liu +4

Revealing the structural properties and understanding the evolutionary mechanisms of the urban heavy truck mobility network (UHTMN) provide insights in assessment of freight polici…

stat.AP2021

Identifying intercity freight trip ends of heavy trucks from GPS data

Yitao Yang, Bin Jia, Xiao-Yong Yan +3

The intercity freight trips of heavy trucks are important data for transportation system planning and urban agglomeration management. In recent decades, the extraction of freight t…

cs.OH2021

Identifying intracity freight trip ends from heavy truck GPS trajectories

Yitao Yang, Bin Jia, Xiao-Yong Yan +3

Intracity heavy truck freight trips are basic data in city freight system planning and management. In the big data era, massive heavy truck GPS trajectories can be acquired cost ef…

physics.soc-ph20211 cited

Describing traveler choice behavior using the free utility model

Hao Wang, Xiao-Yong Yan

Travel demand forecasting is an essential part of transportation planning and management. The four-step travel model is the traditional and most-common procedure utilized for trave…

physics.soc-ph2021

An interactive city choice model and its application for measuring the intercity interaction

Xiang-Yu Jia, Er-Jian Liu, Chun-Yan Chen +1

Measuring the interaction between cities is an important research topic in many disciplines, such as sociology, geography, economics and transportation science. The traditional and…