Closing the gap between behavior and models in route choice: The role of spatiotemporal constraints and latent traits in choice set formation

2012 ◽  
Vol 15 (1) ◽  
pp. 9-24 ◽  
Author(s):  
Sigal Kaplan ◽  
Carlo Giacomo Prato
Keyword(s):  
Route Choice ◽  
Choice Set Formation ◽  
Closing The Gap ◽  
Latent Traits ◽  
Choice Set

All Things Considered? the Role of Choice Set Formation in Diversification

2012 ◽  
Vol 49 (3) ◽  
pp. 320-335 ◽  
Author(s):  
Linda Court Salisbury ◽  
Fred M. Feinberg
Keyword(s):  
Choice Set Formation ◽  
Choice Set

scholarly journals The Role of Incentives in Health – Closing the Gap

2018 ◽  
Vol 183 (suppl_3) ◽  
pp. 208-212
Author(s):  
Kent L Bradley ◽  
Ken Shachmut ◽  
Sheila Viswanathan ◽  
Beth Griffin ◽  
David Vielehr
Keyword(s):  
Closing The Gap

scholarly journals A link based network route choice model with unrestricted choice set

2013 ◽  
Vol 56 ◽  
pp. 70-80 ◽  
Author(s):  
Mogens Fosgerau ◽  
Emma Frejinger ◽  
Anders Karlstrom
Keyword(s):  
Choice Model ◽  
Route Choice ◽  
Choice Set

scholarly journals Joint Model of Participation in Nonwork Activities and Time-of-Day Choice Set Formation for Workers

2011 ◽  
Vol 2254 (1) ◽  
pp. 140-150 ◽  
Author(s):  
Marisol Castro ◽  
Naveen Eluru ◽  
Chandra R. Bhat ◽  
Ram M. Pendyala
Keyword(s):  
Time Of Day ◽  
Joint Model ◽  
Choice Set Formation ◽  
Choice Set

scholarly journals Road-safety recognition and network equilibrium with perceived route-choice sets

2019 ◽  
Vol 1 (2) ◽  
pp. 126-134
Author(s):  
Mao-sheng Li ◽  
He-lai Huang
Keyword(s):  
Convex Combination ◽  
Route Choice ◽  
User Equilibrium ◽  
Equilibrium Analysis ◽  
Combination Method ◽  
Crash Frequency ◽  
Traffic Demand ◽  
Additional Costs ◽  
Choice Set

Abstract Safety is regarded as the second basic need in Maslow’s hierarchy of needs (1943), and safety recognition and circumvention behaviour in the route-choice decision-making process should therefore be accommodated in network-traffic equilibrium analysis frameworks. This paper proposes a framework by which crash frequency, forecasted using the safety-analysis method or compiled from historical data for intersections, is used to measure the safety consciousness of drivers. Drivers are then classified into different groups according to their acceptable-risk thresholds, and each group has its own route-choice set. Decision behaviour whereby drivers are willing to bear additional costs in order to circumvent travel risk is incorporated into the variational inequality model based on the user equilibrium in the perceived route-choice set (UE-PRCS), which is an extension of Wardrop’s first principle. The Frank–Wolfe algorithm, based on the convex combination method, is employed to obtain the solution. A small road network is used as a case study to illustrate the proposed framework, incorporating risk recognition and circumvention behaviour under different combinations of traffic demand and risk-sensitivity group ratio. The results show that the standard user equilibrium is a special case of the UE-PRCS, but that the UE traffic state is more common than the UE-PRCS under different parameters.

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