4.3 Editorial Material

Special issue on Reliability and resilience of emerging mobility systems, an editorial note

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Article Transportation

Robustness assessment of public bus transit system with a response-integrated approach for a resilient public transport system in Hong Kong

Zizhen Xu et al.

Summary: This research evaluates node percolation in the transportation domain, specifically in the public bus transit system, and assesses the impact of post-disruption response measures on network robustness. The study finds that the dependent network model of public bus transit becomes increasingly vulnerable to infrastructure failures, but response measures are effective up to a certain level of disruption. Furthermore, the research provides prescriptive insights into the design of transportation contingency plans.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2023)

Article Transportation

A stochastic model for reliability analysis of periodic train timetables

Mehmet Sirin Artan et al.

Summary: Deteriorations are considered during the design phase to maintain reliability. Tracking the response of periodic timetables to deteriorating events and settling delays within a reasonable time are desired outcomes.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2023)

Article Transportation

Access distance to free-floating services considering uncertain availability and smartphone activeness

Ziang Yao et al.

Summary: The ease of access is crucial for the wider acceptance and adaptation of free-floating sharing services. This research quantifies the access distance by considering the density of travellers and bicycles, and examines the effects of different information-seeking and reservation strategies. The findings suggest that active seeking of bicycles does not necessarily improve system performance, enabling reservations can lead to longer travel times, and increasing bicycle supply or reservation rate may initially increase and then decrease reliability.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2023)

Article Transportation

Optimization of multi-type traffic sensor locations for network-wide link travel time estimation with consideration of their covariance

Hao Fu et al.

Summary: This study proposes a method to optimize the locations of multi-type traffic sensors in order to improve the accuracy of link travel time estimation. By integrating data from different types of sensors, link travel times in an entire road network can be better estimated. The method takes into account constraints such as total financial budget, measurement errors, and cost ratio.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2023)

Article Transportation

Identifying critical links using network capacity-based indicator in multi-modal transportation networks

Muqing Du et al.

Summary: This article aims to develop a new criticality indicator based on the network capacity concept of a multimodal transportation network. The model formulation and solution algorithm are developed for this problem, and a sensitivity-based approximation approach is also developed to improve efficiency. Numerical experiments show that the proposed network capacity-based indicator is more useful than the efficiency-based indicator when the link capacity limit is violated in the degraded network.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2022)

Article Transportation

Theoretical threshold of travel time for travel time reliability from probabilistic measures

Xiaodong Zang

Summary: This research tackles the issue of travel time threshold by defining it, establishing an optimization model of traffic operation efficiency, and considering an equilibrium model of two utility models. Quantified results were obtained through solving the equilibrium model, with simulation tests demonstrating the reasonableness and applicability of travel time thresholds.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2022)

Article Transportation

Evolution of multimodal final user equilibrium considering public transport network design history

Mostafa Ameli et al.

Summary: Analyzing the properties of network equilibrium helps to understand network state, robustness, and the impact of variations in the network. This study focused on the effects of network design history on day-to-day multimodal user equilibrium, discovering that the final equilibrium may not be unique when new transport options are introduced over time. Different public transportation occupancies were observed, but user equilibrium was maintained, revealing new insights for public transport planning.

TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2022)