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Estimation of the Network Capacity for Multimodal Urban Systems

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Estimation of the Network Capacity for Multimodal Urban Systems. / Boyacı, Burak; Geroliminis, Nikolas.
In: Procedia Social and Behavioral Sciences, Vol. 16, 2011, p. 803-813.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Boyacı, B & Geroliminis, N 2011, 'Estimation of the Network Capacity for Multimodal Urban Systems', Procedia Social and Behavioral Sciences, vol. 16, pp. 803-813. https://doi.org/10.1016/j.sbspro.2011.04.499

APA

Boyacı, B., & Geroliminis, N. (2011). Estimation of the Network Capacity for Multimodal Urban Systems. Procedia Social and Behavioral Sciences, 16, 803-813. https://doi.org/10.1016/j.sbspro.2011.04.499

Vancouver

Boyacı B, Geroliminis N. Estimation of the Network Capacity for Multimodal Urban Systems. Procedia Social and Behavioral Sciences. 2011;16:803-813. Epub 2011 May 23. doi: 10.1016/j.sbspro.2011.04.499

Author

Boyacı, Burak ; Geroliminis, Nikolas. / Estimation of the Network Capacity for Multimodal Urban Systems. In: Procedia Social and Behavioral Sciences. 2011 ; Vol. 16. pp. 803-813.

Bibtex

@article{b37e99f477f6419b9904d3ab133bffa5,
title = "Estimation of the Network Capacity for Multimodal Urban Systems",
abstract = "As more people through different modes compete for the limited urban space that is set aside to serve transport, there is an increasing need to understand details of how this space is used and how it can be managed to improve accessibility for everyone. Ultimately, an important goal is to understand what sustainable level of mobility cities of different structures can achieve. Understanding these outcomes parametrically for all possible city structures and mixes of transport modes would inform the decision making process, thereby helping cities achieve their sustainability goals. In this paper we focus on the network capacity of multimodal systems with motorized traffic and extra emphasis in buses. More specifically, we propose to study how the throughput of passengers and vehicles depends on the geometrical and operational characteristics of the system, the level ofcongestion and the interactions between different modes. A methodology to estimate a macroscopic fundamental diagram and network capacity of cities with mixed-traffic bus-car lanes or with individual bus-only lanes is developed and examples for different city topologies are provided. The analysis is based on realistic macroscopic models of congestion dynamics and can be implemented with readily available data.",
keywords = "network capacity, multimodal systems, macroscopic fundamental diagram ",
author = "Burak Boyacı and Nikolas Geroliminis",
year = "2011",
doi = "10.1016/j.sbspro.2011.04.499",
language = "English",
volume = "16",
pages = "803--813",
journal = "Procedia Social and Behavioral Sciences",
issn = "1877-0428",
publisher = "Elsevier BV",
note = "6th International Symposium on Highway Capacity and Quality Service ; Conference date: 28-06-2011 Through 01-07-2011",

}

RIS

TY - JOUR

T1 - Estimation of the Network Capacity for Multimodal Urban Systems

AU - Boyacı, Burak

AU - Geroliminis, Nikolas

PY - 2011

Y1 - 2011

N2 - As more people through different modes compete for the limited urban space that is set aside to serve transport, there is an increasing need to understand details of how this space is used and how it can be managed to improve accessibility for everyone. Ultimately, an important goal is to understand what sustainable level of mobility cities of different structures can achieve. Understanding these outcomes parametrically for all possible city structures and mixes of transport modes would inform the decision making process, thereby helping cities achieve their sustainability goals. In this paper we focus on the network capacity of multimodal systems with motorized traffic and extra emphasis in buses. More specifically, we propose to study how the throughput of passengers and vehicles depends on the geometrical and operational characteristics of the system, the level ofcongestion and the interactions between different modes. A methodology to estimate a macroscopic fundamental diagram and network capacity of cities with mixed-traffic bus-car lanes or with individual bus-only lanes is developed and examples for different city topologies are provided. The analysis is based on realistic macroscopic models of congestion dynamics and can be implemented with readily available data.

AB - As more people through different modes compete for the limited urban space that is set aside to serve transport, there is an increasing need to understand details of how this space is used and how it can be managed to improve accessibility for everyone. Ultimately, an important goal is to understand what sustainable level of mobility cities of different structures can achieve. Understanding these outcomes parametrically for all possible city structures and mixes of transport modes would inform the decision making process, thereby helping cities achieve their sustainability goals. In this paper we focus on the network capacity of multimodal systems with motorized traffic and extra emphasis in buses. More specifically, we propose to study how the throughput of passengers and vehicles depends on the geometrical and operational characteristics of the system, the level ofcongestion and the interactions between different modes. A methodology to estimate a macroscopic fundamental diagram and network capacity of cities with mixed-traffic bus-car lanes or with individual bus-only lanes is developed and examples for different city topologies are provided. The analysis is based on realistic macroscopic models of congestion dynamics and can be implemented with readily available data.

KW - network capacity

KW - multimodal systems

KW - macroscopic fundamental diagram

U2 - 10.1016/j.sbspro.2011.04.499

DO - 10.1016/j.sbspro.2011.04.499

M3 - Journal article

VL - 16

SP - 803

EP - 813

JO - Procedia Social and Behavioral Sciences

JF - Procedia Social and Behavioral Sciences

SN - 1877-0428

T2 - 6th International Symposium on Highway Capacity and Quality Service

Y2 - 28 June 2011 through 1 July 2011

ER -