Buildings affect mobile patterns: Developing a new urban mobility model

Zimu Zheng, Dan Wang, Feng Wang, Liang Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Urban Mobility Models (UMMs) are fundamental tools for estimating the population in urban sites and their spatial movements over time. They have great value for such applications as managing the resources of cellular networks, predicting traffic congestion, and city planning. Most existing UMMs were developed primarily in 2D. However, we argue that people's movements and living patterns involve 3D space, i.e., buildings, which can heavily affect the accuracy of UMMs. In this paper, we for the first time conduct a comprehensive study on the impacts of buildings on human movements, and the effect on UMMs. In particular,we start from an extensive trace analysis of two different real-world datasets. Our key observation is that human patterns of movement among urban sites are affected by buildings, with buildings being able to "temporarily hold" human mobility. We innovatively capture this property by extending Markov processes, which have been widely used in developing UMMs, with semi-absorbing states. We then develop a Semi-absorbing Urban Mobility model (SUM) and theoretically prove its properties to capture the intrinsic impacts of buildings with an analysis of SUM on its difference from that of previous UMMs. Our evaluation also demonstrates that, as a basis for supporting mobile applications in an intracity and hourly scale, the SUM is far superior to previous UMMs. Our real-world case study on cellular network resource allocations further reveals the effectiveness of our SUM model. We show that the performance of the resource allocation scheme in a cellular network substantially improves by using SUM, with a reduction in the packet loss probability of 3.19 times.

Original languageEnglish
Title of host publicationBuildSys 2018 - Proceedings of the 5th Conference on Systems for Built Environments
EditorsGowri Sankar Ramachandran, Nipun Batra
PublisherAssociation for Computing Machinery, Inc
Pages83-92
Number of pages10
ISBN (Electronic)9781450359511
DOIs
Publication statusPublished - 7 Nov 2018
Event5th ACM International Conference on Systems for Built Environments, BuildSys 2018 - Shenzen, China
Duration: 7 Nov 20188 Nov 2018

Publication series

NameBuildSys 2018 - Proceedings of the 5th Conference on Systems for Built Environments

Conference

Conference5th ACM International Conference on Systems for Built Environments, BuildSys 2018
Country/TerritoryChina
CityShenzen
Period7/11/188/11/18

Keywords

  • Building
  • Semi-absorbing Markov Process
  • Urban Mobility Model

ASJC Scopus subject areas

  • Architecture
  • Computer Networks and Communications
  • Building and Construction
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Information Systems

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