Distributed travel time savings of a multiscale transportation access management program

Xu, Junrui; Lambert, James H.

doi:10.1007/s10669-013-9459-0

“…Xu and Lambert and Xu et al . addressed safety and congestion separately, neglecting to integrate the several perspectives and to treat the uncertainties of underlying data and parameters.…”

Section: Methods Developmentmentioning

confidence: 99%

Risk‐Cost‐Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data

Xu

¹

,

Lambert

²

2014

Self Cite

View full text Add to dashboard Cite

Access management, which systematically limits opportunities for egress and ingress of vehicles to highway lanes, is critical to protect trillions of dollars of current investment in transportation. While access management can be effective to avoid crashes, reduce travel times, and increase route capacities, the literature suggests a need for metrics to guide investments in resource allocation across large networks at several time horizons and geographic scales. This dissertation describes a decision aid to support a multiscale transportation access management program via a risk-cost-benefit tradeoff analysis with heterogeneous sources of data and expertise, addressing incomplete or partially relevant information on regions, decision criteria, crash rates, travel speeds, road condition, project costs, and other factors. The approach quantifies safety improvement, travel-time savings, and costs of access management through functional relationships of input parameters including crash rates, corridor access point densities, and traffic volumes. Parameter uncertainties, which vary across regions and time horizons, are addressed via numerical interval analyses. The integration of methods is demonstrated for 6,000 highway miles of a 43,000 square-mile region and its several sub-regions. The demonstration prioritizes route segments that would benefit from risk assessment and risk management, including (i) right of way purchases, (ii) restriction of access points, (iii) new alignments, (iv) developer proffers, (v) further data collection, (vi) further expert elicitation, (vii) etc. The philosophy of approach is generally applicable to address uncertainties of heterogeneous data in resource allocation and decision making for multiscale systems. ii

show abstract

“…It is assumed that preliminary engineering costs (C PE ), right-of-way acquisition costs (C RW ), construction costs (C CN ), and preservation and maintenance costs (C PM ) of access management projects are changing linearly with the length of a corridor segment and all these costs can be summed up as the total costs (C Total ). Details of the cost elicitations are provided in Chapter 3. under consideration for implementation of access management techniques, are evaluated using a cost-benefit analysis adapted from Xu and Lambert (2013a) and .…”

Section: Quantification Of Costsmentioning

confidence: 99%

“…This dissertation summarizes theory, methodology, and application disseminated in the literature Xu and Lambert 2013a) and conference presentations Xu and Lambert, 2013b;Watson et al 2012). Appendix E provides milestones of the research effort demonstrated in this dissertation.…”

Section: Contributionsmentioning

confidence: 99%

“…The high-priority zone is above the upper contour, where the benefit-to-cost ratio exceeds one for all possible values of the uncertain parameters; the medium-priority zone is between the upper and lower contours, where the benefit-to-cost ratio exceeds one for some possible values of the exogenous parameters; the low-priority zone is below the lower contour, where the benefit-to-cost ratio does not exceed one for any possible values of exogenous parameters. Further details regarding this effort are described by Xu and Lambert (2013a).…”

Section: Introductionmentioning

confidence: 99%

“…In these situations, it is common to have missing, partially relevant, and imprecise data on key parameters of a priority-setting model.This chapter demonstrates general lessons from how prioritization of resources for transportation access management programs can proceed with imprecise or partially relevant data of underlying parameters, including crash rates, travel speeds, time-savings and crash-reduction factors, and related costs. and Xu and Lambert (2013a) addressed safety and congestion separately, neglecting to integrate the several perspectives and to treat the uncertainties of underlying data and parameters. This chapter will thus develop a risk-cost-benefit analysis jointly from the perspectives of safety and congestion, and demonstrate the innovation in application to priority-setting in access management.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Heterogeneous Data Uncertainties in Risk Management of a Multiscale Transportation Program

Xu

¹

Self Cite

0

View full text Add to dashboard Cite

Access management, which systematically limits opportunities for egress and ingress of vehicles to highway lanes, is critical to protect trillions of dollars of current investment in transportation. While access management can be effective to avoid crashes, reduce travel times, and increase route capacities, the literature suggests a need for metrics to guide investments in resource allocation across large networks at several time horizons and geographic scales. This dissertation describes a decision aid to support a multiscale transportation access management program via a risk-cost-benefit tradeoff analysis with heterogeneous sources of data and expertise, addressing incomplete or partially relevant information on regions, decision criteria, crash rates, travel speeds, road condition, project costs, and other factors. The approach quantifies safety improvement, travel-time savings, and costs of access management through functional relationships of input parameters including crash rates, corridor access point densities, and traffic volumes. Parameter uncertainties, which vary across regions and time horizons, are addressed via numerical interval analyses. The integration of methods is demonstrated for 6,000 highway miles of a 43,000 square-mile region and its several sub-regions. The demonstration prioritizes route segments that would benefit from risk assessment and risk management, including (i) right of way purchases, (ii) restriction of access points, (iii) new alignments, (iv) developer proffers, (v) further data collection, (vi) further expert elicitation, (vii) etc. The philosophy of approach is generally applicable to address uncertainties of heterogeneous data in resource allocation and decision making for multiscale systems.

show abstract

Multi-scale decision making: challenges in engineering and environmental systems

Beling

¹

2013

View full text Add to dashboard Cite

Distributed travel time savings of a multiscale transportation access management program

Cited by 18 publications

References 15 publications

Risk‐Cost‐Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data

Risk‐Cost‐Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data

Heterogeneous Data Uncertainties in Risk Management of a Multiscale Transportation Program

Multi-scale decision making: challenges in engineering and environmental systems

Contact Info

Product

Resources

About