UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Urban Impedance Computing Based on Check-In Records

Yu, Z; Chen, Y; Zheng, S; Shen, Y; Yu, Z; Pascual, J; (2016) Urban Impedance Computing Based on Check-In Records. International Journal of Distributed Sensor Networks , 12 (4) , Article 1693437. 10.1155/2016/1693437. Green open access

[thumbnail of 2016_16934372.pdf]
Preview
Text
2016_16934372.pdf - Published Version

Download (295kB) | Preview

Abstract

Urban impedance is an important consideration in assessments of transportation and land-use systems. This work leverages check-in records obtained from mobile social networks to build a fine-grained but inexpensive urban impedance model. Check-in records and road networks are collected and used to calculate and adjust the various parameters of the model, including path length, number and angle of turns, number and direction of junctions, and population density. Check-in records can filter functional locations and supply the time factor, thereby providing excellent advantages over traditional models that do not employ this data type. The proposed model is more accurate than traditional impedance models, as verified by experiments using Sina Weibo data in Tianjin City.

Type: Article
Title: Urban Impedance Computing Based on Check-In Records
Open access status: An open access version is available from UCL Discovery
DOI: 10.1155/2016/1693437
Publisher version: https://doi.org/10.1155/2016/1693437
Language: English
Additional information: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Science & Technology, Technology, Computer Science, Information Systems, Telecommunications, Computer Science, Accessibility
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/1555596
Downloads since deposit
97Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item