Scaling laws for the movement of people between locations in a large city

Gerardo Chowell-Puente; J. M. Hyman; S. Eubank; C. Castillo-Chavez

Scaling laws for the movement of people between locations in a large city

Gerardo Chowell-Puente, J. M. Hyman, S. Eubank, C. Castillo-Chavez

Research output: Contribution to journal › Article › peer-review

Abstract

The optimize traffic flow of Portland simulated movements of people between locations detected using scaling laws were discussed. The simulated movements of 1.6×10⁶ individuals in a computer model were analyzed during a typical day in the city. The directed edges and connecting nodes of the graphs were weighted by the simulated movements of traffic in different locations. It was observed that the Portland network has strong linear correlation between the out-degree and total-out traffic distributions.

Original language	English (US)
Article number	066102
Pages (from-to)	661021-661027
Number of pages	7
Journal	Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume	68
Issue number	6 2
State	Published - Dec 1 2003
Externally published	Yes

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Statistics and Probability
Condensed Matter Physics

Cite this

@article{2991a9ef1dd14e3f8d5943abf29f5dae,

title = "Scaling laws for the movement of people between locations in a large city",

abstract = "The optimize traffic flow of Portland simulated movements of people between locations detected using scaling laws were discussed. The simulated movements of 1.6×106 individuals in a computer model were analyzed during a typical day in the city. The directed edges and connecting nodes of the graphs were weighted by the simulated movements of traffic in different locations. It was observed that the Portland network has strong linear correlation between the out-degree and total-out traffic distributions.",

author = "Gerardo Chowell-Puente and Hyman, {J. M.} and S. Eubank and C. Castillo-Chavez",

year = "2003",

month = dec,

day = "1",

language = "English (US)",

volume = "68",

pages = "661021--661027",

journal = "Physical Review E - Statistical, Nonlinear, and Soft Matter Physics",

issn = "1063-651X",

publisher = "American Physical Society",

number = "6 2",

}

TY - JOUR

T1 - Scaling laws for the movement of people between locations in a large city

AU - Chowell-Puente, Gerardo

AU - Hyman, J. M.

AU - Eubank, S.

AU - Castillo-Chavez, C.

PY - 2003/12/1

Y1 - 2003/12/1

N2 - The optimize traffic flow of Portland simulated movements of people between locations detected using scaling laws were discussed. The simulated movements of 1.6×106 individuals in a computer model were analyzed during a typical day in the city. The directed edges and connecting nodes of the graphs were weighted by the simulated movements of traffic in different locations. It was observed that the Portland network has strong linear correlation between the out-degree and total-out traffic distributions.

AB - The optimize traffic flow of Portland simulated movements of people between locations detected using scaling laws were discussed. The simulated movements of 1.6×106 individuals in a computer model were analyzed during a typical day in the city. The directed edges and connecting nodes of the graphs were weighted by the simulated movements of traffic in different locations. It was observed that the Portland network has strong linear correlation between the out-degree and total-out traffic distributions.

UR - http://www.scopus.com/inward/record.url?scp=1442354946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1442354946&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:1442354946

SN - 1063-651X

VL - 68

SP - 661021

EP - 661027

JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

IS - 6 2

M1 - 066102

ER -

Scaling laws for the movement of people between locations in a large city

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this