A continuous model for coordinated pricing of mixed access modes to transit

Nicholas Fournier, Eleni Christofa, Eric J. Gonzales

Research output: Contribution to journalConference articleOther

Abstract

The land-use pattern for many cities is a central business district surrounded by sprawling suburbs. This pattern can lead to an inefficient and congestion-prone transportation system due to a reliance on automobiles, because high-capacity transit is not efficient in low-density areas where insufficient travelers can access transit. This also poses an equity concern as the monetary cost of faster and more expensive travel disproportionately burdens low income travelers. This paper presents a deterministic approximation of a discrete choice model for mixed access and mainline transportation modes, meaning that travelers may use different modes to access a mainline system, such as transit. The purpose is to provide a tractable computationally efficient model to address the first/last mile problem using a system-wide pricing policy that can account for heterogeneous values of time; a problem that is difficult to solve efficiently using a stochastic model. The model is structured for a catchment area around a central access point for a mainline mode, approximating choice by comparing modal utility costs. The underlying utility model accommodates both fixed prices (e.g., parking, fixed tolls, and fares) and distance-based unit prices (e.g. taxi fare, bike-share, and distance tolls) that may be set in a coordinated way with respect to value of time. Using numerical analysis to assess accuracy, the deterministic model achieved results within 4% of a stochastic logit-based model, and within 6% of measured values. The optimization of prices using the final model achieved a 57% reduction in generalized travel time and improved the Gini inequity measure from 0.21 to 0.03.

Original languageEnglish
Pages (from-to)956-976
Number of pages21
JournalTransportation Research Procedia
Volume38
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventInternational Symposium on Transportation and Traffic Theory 2019 - Lausanne, Switzerland
Duration: 24 Jul 201926 Jul 2019

Keywords

  • Access mode
  • Continuum approximation
  • Discrete choice
  • Equity
  • Pricing

Cite this

Fournier, Nicholas ; Christofa, Eleni ; Gonzales, Eric J. / A continuous model for coordinated pricing of mixed access modes to transit. In: Transportation Research Procedia. 2019 ; Vol. 38. pp. 956-976.
@article{ffd28b7436f845f78e53650897ff8fd9,
title = "A continuous model for coordinated pricing of mixed access modes to transit",
abstract = "The land-use pattern for many cities is a central business district surrounded by sprawling suburbs. This pattern can lead to an inefficient and congestion-prone transportation system due to a reliance on automobiles, because high-capacity transit is not efficient in low-density areas where insufficient travelers can access transit. This also poses an equity concern as the monetary cost of faster and more expensive travel disproportionately burdens low income travelers. This paper presents a deterministic approximation of a discrete choice model for mixed access and mainline transportation modes, meaning that travelers may use different modes to access a mainline system, such as transit. The purpose is to provide a tractable computationally efficient model to address the first/last mile problem using a system-wide pricing policy that can account for heterogeneous values of time; a problem that is difficult to solve efficiently using a stochastic model. The model is structured for a catchment area around a central access point for a mainline mode, approximating choice by comparing modal utility costs. The underlying utility model accommodates both fixed prices (e.g., parking, fixed tolls, and fares) and distance-based unit prices (e.g. taxi fare, bike-share, and distance tolls) that may be set in a coordinated way with respect to value of time. Using numerical analysis to assess accuracy, the deterministic model achieved results within 4{\%} of a stochastic logit-based model, and within 6{\%} of measured values. The optimization of prices using the final model achieved a 57{\%} reduction in generalized travel time and improved the Gini inequity measure from 0.21 to 0.03.",
keywords = "Access mode, Continuum approximation, Discrete choice, Equity, Pricing",
author = "Nicholas Fournier and Eleni Christofa and Gonzales, {Eric J.}",
year = "2019",
doi = "10.1016/j.trpro.2019.05.049",
language = "English",
volume = "38",
pages = "956--976",
journal = "Transportation Research Procedia",
issn = "2352-1465",
publisher = "Elsevier",

}

A continuous model for coordinated pricing of mixed access modes to transit. / Fournier, Nicholas; Christofa, Eleni; Gonzales, Eric J.

In: Transportation Research Procedia, Vol. 38, 2019, p. 956-976.

Research output: Contribution to journalConference articleOther

TY - JOUR

T1 - A continuous model for coordinated pricing of mixed access modes to transit

AU - Fournier, Nicholas

AU - Christofa, Eleni

AU - Gonzales, Eric J.

PY - 2019

Y1 - 2019

N2 - The land-use pattern for many cities is a central business district surrounded by sprawling suburbs. This pattern can lead to an inefficient and congestion-prone transportation system due to a reliance on automobiles, because high-capacity transit is not efficient in low-density areas where insufficient travelers can access transit. This also poses an equity concern as the monetary cost of faster and more expensive travel disproportionately burdens low income travelers. This paper presents a deterministic approximation of a discrete choice model for mixed access and mainline transportation modes, meaning that travelers may use different modes to access a mainline system, such as transit. The purpose is to provide a tractable computationally efficient model to address the first/last mile problem using a system-wide pricing policy that can account for heterogeneous values of time; a problem that is difficult to solve efficiently using a stochastic model. The model is structured for a catchment area around a central access point for a mainline mode, approximating choice by comparing modal utility costs. The underlying utility model accommodates both fixed prices (e.g., parking, fixed tolls, and fares) and distance-based unit prices (e.g. taxi fare, bike-share, and distance tolls) that may be set in a coordinated way with respect to value of time. Using numerical analysis to assess accuracy, the deterministic model achieved results within 4% of a stochastic logit-based model, and within 6% of measured values. The optimization of prices using the final model achieved a 57% reduction in generalized travel time and improved the Gini inequity measure from 0.21 to 0.03.

AB - The land-use pattern for many cities is a central business district surrounded by sprawling suburbs. This pattern can lead to an inefficient and congestion-prone transportation system due to a reliance on automobiles, because high-capacity transit is not efficient in low-density areas where insufficient travelers can access transit. This also poses an equity concern as the monetary cost of faster and more expensive travel disproportionately burdens low income travelers. This paper presents a deterministic approximation of a discrete choice model for mixed access and mainline transportation modes, meaning that travelers may use different modes to access a mainline system, such as transit. The purpose is to provide a tractable computationally efficient model to address the first/last mile problem using a system-wide pricing policy that can account for heterogeneous values of time; a problem that is difficult to solve efficiently using a stochastic model. The model is structured for a catchment area around a central access point for a mainline mode, approximating choice by comparing modal utility costs. The underlying utility model accommodates both fixed prices (e.g., parking, fixed tolls, and fares) and distance-based unit prices (e.g. taxi fare, bike-share, and distance tolls) that may be set in a coordinated way with respect to value of time. Using numerical analysis to assess accuracy, the deterministic model achieved results within 4% of a stochastic logit-based model, and within 6% of measured values. The optimization of prices using the final model achieved a 57% reduction in generalized travel time and improved the Gini inequity measure from 0.21 to 0.03.

KW - Access mode

KW - Continuum approximation

KW - Discrete choice

KW - Equity

KW - Pricing

UR - http://www.scopus.com/inward/record.url?scp=85074953098&partnerID=8YFLogxK

U2 - 10.1016/j.trpro.2019.05.049

DO - 10.1016/j.trpro.2019.05.049

M3 - Conference article

VL - 38

SP - 956

EP - 976

JO - Transportation Research Procedia

JF - Transportation Research Procedia

SN - 2352-1465

ER -