Analysis of trip generation rates in residential commuting based on mobile phone signaling data

Fei Shi, Le Zhu

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, mobile phone signaling data are first processed to extract information such as the trip volume and spatial distribution from the starting point to the termination point. This information is then used to identify the residential and employment locations of users. Next, multiple Thiessen polygons based on cell towers are aggregated into Traffic Analysis Zones (TAZs) to minimize differences between the actual cell tower coverage and the theoretical coverage. Then, based on TAZ cluster analysis involving transport accessibility and commuting population density, multiple stepwise regression is applied to obtain the commuting trip production rates and attraction rates for overall residential land and each subdivided housing type during the peak morning hours. The obtained commuting trip generation rates can be directly applied to local transport analysis models. This paper suggests that as information and data sharing continue, mobile phone signaling data will become increasingly important for use in future trip rate research.
Original languageEnglish
Pages (from-to)201-220
Number of pages20
JournalJournal of Transport and Land Use
Volume12
Issue number1
DOIs
Publication statusPublished - 28 Mar 2019

Keywords

  • Transport
  • Land use

Fingerprint

Dive into the research topics of 'Analysis of trip generation rates in residential commuting based on mobile phone signaling data'. Together they form a unique fingerprint.

Cite this