No abstract

Ride-hailing, in addition to a common mode of daily transportation, is an attractive option for evacuating stranded passengers and supplementing bus bridging in the early stages of an urban rail transit (URT) disruption. This paper proposes a service supply chain comprised of ride-hailing vehicles, ride-hailing platforms, and stranded passengers wherein the URT and ride-hailing chain together provide emergency evacuation services. The emergency evacuation service supply chain can be coordinated under an effort-based revenue sharing contract. A URT-dominated Stackelberg game model between the URT and ride-hailing platform is then formulated to optimize compensation decisions on the part of the URT; numerical analysis reveals critical factors affecting the said decisions. The main contributions of this paper are two-fold: first, it provides new information regarding collaboration between URT operators and ride-hailing platforms for stranded passenger evacuation, including a ride-hailing platform pricing strategy; and second, the URT compensation decision process is solved via Stackelberg game model while revealing an incentive coefficient parameter for the URT decision and solver.

No abstract

A novel station-level vulnerability algorithm that takes both passenger flow and network topology into account to reveal critical stations in a metro network is proposed. A vulnerability-based emergency resource distribution model (V-ERDM) is proposed in which a given metro station's vulnerability is measured by a combined index of network topology and passenger demand. The paper compares the proposed V-ERDM with a coverage-oriented model (i.e. a similar model without the vulnerability measure) to evaluate its performance. The models were implemented on two Chinese metro networks (Shaoxing and Shanghai), and these applications validated the feasibility of the proposed models. The unique contributions of this work are two-fold: network vulnerability in a metro system based on the characteristics of the metro network is proposed and the paper introduces a vulnerability index into the emergency resource distribution problem.

Abstract. Most existing project assessment relies on expert scoring, whose precision can be deteriorated by personal subjectivity. This paper presents an assessment method to compare the advantages and disadvantages of three cohesion patterns between suburban and urban rail transit network, which reduces the influence of subjective score. A modified rough set -grey correlation model is developed as a core of this assessment, based on the integration of rough set theory and grey correlational analysis, where an index system is set up for model calculation. A case study using the network in Ningbo is applied to demonstrate the effectiveness of the method, the results show that the method is more effective using discretely distributed data sensitive to sample size. The consistency of the results in comparison with marginal cost analysis can be a preliminary verification of the model.