Urban Impedance Computing Based on Check-In Records

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 c...

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Main Authors: Zhiyong Yu, Yuzhong Chen, Songpan Zheng, Yao Shen, Zhiwen Yu, Jordan Pascual
Format: Article
Language:English
Published: Wiley 2016-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2016/1693437
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author Zhiyong Yu
Yuzhong Chen
Songpan Zheng
Yao Shen
Zhiwen Yu
Jordan Pascual
author_facet Zhiyong Yu
Yuzhong Chen
Songpan Zheng
Yao Shen
Zhiwen Yu
Jordan Pascual
author_sort Zhiyong Yu
collection DOAJ
description 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.
format Article
id doaj-art-35dc67a227aa478cb1107d1c4f01ba0c
institution OA Journals
issn 1550-1477
language English
publishDate 2016-04-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-35dc67a227aa478cb1107d1c4f01ba0c2025-08-20T02:24:08ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-04-011210.1155/2016/16934371693437Urban Impedance Computing Based on Check-In RecordsZhiyong Yu0Yuzhong Chen1Songpan Zheng2Yao Shen3Zhiwen Yu4Jordan Pascual5 College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China Space Syntax Lab, Bartlett School of Architecture, University College London, London NW1 2BX, UK College of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China Department of Computer Science, University of Oviedo, 33024 Gijón, SpainUrban 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.https://doi.org/10.1155/2016/1693437
spellingShingle Zhiyong Yu
Yuzhong Chen
Songpan Zheng
Yao Shen
Zhiwen Yu
Jordan Pascual
Urban Impedance Computing Based on Check-In Records
International Journal of Distributed Sensor Networks
title Urban Impedance Computing Based on Check-In Records
title_full Urban Impedance Computing Based on Check-In Records
title_fullStr Urban Impedance Computing Based on Check-In Records
title_full_unstemmed Urban Impedance Computing Based on Check-In Records
title_short Urban Impedance Computing Based on Check-In Records
title_sort urban impedance computing based on check in records
url https://doi.org/10.1155/2016/1693437
work_keys_str_mv AT zhiyongyu urbanimpedancecomputingbasedoncheckinrecords
AT yuzhongchen urbanimpedancecomputingbasedoncheckinrecords
AT songpanzheng urbanimpedancecomputingbasedoncheckinrecords
AT yaoshen urbanimpedancecomputingbasedoncheckinrecords
AT zhiwenyu urbanimpedancecomputingbasedoncheckinrecords
AT jordanpascual urbanimpedancecomputingbasedoncheckinrecords