Simulating parking for establishing parking prices

Nir Fulman; Itzhak Benenson

doi:10.1016/j.procs.2017.05.420

Simulating parking for establishing parking prices

Nir Fulman, Itzhak Benenson^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

Urban parking prices do not reflect spatially heterogeneous parking supply and demand. We present an agent-based algorithm for establishing on-and off-street parking prices in a heterogeneous urban space that guarantee a predetermined uniform level of occupation.

Original language	English
Pages (from-to)	911-916
Number of pages	6
Journal	Procedia Computer Science
Volume	109
DOIs	https://doi.org/10.1016/j.procs.2017.05.420
State	Published - 2017
Event	8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal Duration: 16 May 2017 → 19 May 2017

Keywords

Agent-Based Modeling
Spatially Exlicit Modeling
Transportation
Urban Parking

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.procs.2017.05.420

Cite this

@article{b9ca845274d54d4eba9ee0843cb8be56,

title = "Simulating parking for establishing parking prices",

abstract = "Urban parking prices do not reflect spatially heterogeneous parking supply and demand. We present an agent-based algorithm for establishing on-and off-street parking prices in a heterogeneous urban space that guarantee a predetermined uniform level of occupation.",

keywords = "Agent-Based Modeling, Spatially Exlicit Modeling, Transportation, Urban Parking",

author = "Nir Fulman and Itzhak Benenson",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier B.V.; 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 ; Conference date: 16-05-2017 Through 19-05-2017",

year = "2017",

doi = "10.1016/j.procs.2017.05.420",

language = "אנגלית",

volume = "109",

pages = "911--916",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Simulating parking for establishing parking prices

AU - Fulman, Nir

AU - Benenson, Itzhak

PY - 2017

Y1 - 2017

N2 - Urban parking prices do not reflect spatially heterogeneous parking supply and demand. We present an agent-based algorithm for establishing on-and off-street parking prices in a heterogeneous urban space that guarantee a predetermined uniform level of occupation.

AB - Urban parking prices do not reflect spatially heterogeneous parking supply and demand. We present an agent-based algorithm for establishing on-and off-street parking prices in a heterogeneous urban space that guarantee a predetermined uniform level of occupation.

KW - Agent-Based Modeling

KW - Spatially Exlicit Modeling

KW - Transportation

KW - Urban Parking

UR - http://www.scopus.com/inward/record.url?scp=85021786818&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2017.05.420

DO - 10.1016/j.procs.2017.05.420

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle???

AN - SCOPUS:85021786818

SN - 1877-0509

VL - 109

SP - 911

EP - 916

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017

Y2 - 16 May 2017 through 19 May 2017

ER -

Simulating parking for establishing parking prices

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this