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  • 1.
    Cats, Oded
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands.;KTH Royal Inst Technol, Div Transport Planning, Stockholm, Sweden.;Delft Univ Technol, Delft, Netherlands..
    Derrible, Sybil
    Univ Illinois, Civil & Mat Engn Dept, Chicago, IL USA..
    Chow, Joseph
    NYU, Tandon Sch Engn, Dept Civil & Urban Engn, New York, NY USA..
    Special issue on "Reliability and resilience of emerging mobility systems", an editorial note2023In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 11, no 1, p. 1092-1094Article in journal (Other academic)
    Abstract [en]

    This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on 'Reliability and Resilience of Emerging Mobility Systems' consists of seven papers which are dedicated to methodological and theoretical developments as well as advanced applications in this domain. Several of the contributions originated from works presented at INSTR2021 (the 8th International Symposium on Transport Network Reliability). In this Editorial note we reflect on the contributions made in each of the articles included in this special issue.

  • 2.
    Cats, Oded
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands..
    Jenelius, Erik
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
    Beyond a complete failure: The impact of partial capacity degradation on public transport network vulnerability2018In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 6, no 2, p. 77-96Article in journal (Refereed)
    Abstract [en]

    Disruptions in public transport networks (PTNs) often lead to partial capacity reductions rather than complete closures. This study aims to move beyond the vulnerability analysis of complete failures by investigating the impacts of a range of capacity reductions on PTN performance. The relation between network performance and the degradation of line or link capacities is investigated by establishing a vulnerability curve and related metrics. The analysis framework is applied to a full-scan analysis of planned temporary line-level capacity reductions and an analysis of unplanned link-level capacity reductions on the most central segments in the multi-modal rapid PTN of Stockholm, Sweden. The impacts of capacity reductions are assessed using a non-equilibrium dynamic public transport operations and assignment model. The nonlinear properties of on-board crowding, denied boarding, network effects and route choice result in non-trivial, generally convex, relations which carry implications on disruption planning and real-time management.

  • 3. Laskaris, Georgios
    et al.
    Cats, Oded
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering.
    Jenelius, Erik
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering.
    Rinaldi, Marco
    Viti, Francesco
    Multiline holding based control for lines merging to a shared transit corridor2019In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 7, no 1, p. 1062-1095Article in journal (Refereed)
    Abstract [en]

    In transit corridors, multiple lines share a sequence of consecutive stops to provide higher joint frequency in higher demand areas. A key challenge is to coordinate the transition from single line to joint operation. A holding control strategy aimed at minimizing passenger travel times is introduced for lines merging into a shared corridor, accounting for the coordination of vehicle arrivals from the merging lines as well as the regularity of each line. The criterion is tested using an artificial network and a real-world network to analyze the impact of demand distribution and compare cooperative versus single line control. We illustrate how the real-time strategy yields overall passenger gains, depending on the composition of different user groups. Results are assessed based on operation and passenger performance indicators and show that coordination is achieved. When combined with joint control in the common part, the proposed approach achieves consistent network-wide travel time benefits.

  • 4.
    Leffler, David
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    Burghout, Wilco
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    Cats, Oded
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    Jenelius, Erik
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    An adaptive route choice model for integrated fixed and flexible transit systems2024In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 12, no 1Article in journal (Refereed)
    Abstract [en]

    Over the past decade, there has been a surge of interest in the application of agent-based simulation models to evaluate flexible transit solutions characterized by different degrees of short-term flexibility in routing and scheduling. A central modelling decision in the development is how one chooses to represent the mode- and route-choices of travellers. The real-time adaptive behaviour of travellers is important to model in the presence of a flexible transit service, where the routing and scheduling of vehicles is highly dependent on supply-demand dynamics at a near real-time temporal resolution. We propose a utility-based transit route-choice model with representation of within-day adaptive travel behaviour and between-day learning where station-based fixed-transit, flexible-transit, and active-mode alternatives may be dynamically combined in a single path. To enable experimentation, this route-choice model is implemented within an agent-based dynamic public transit simulation framework. We first explore model properties in a choice between fixed- and flexible-transit modes for a toy network. The adaptive route choice framework is then applied to a case study based on a real-life branched transit service in Stockholm, Sweden. This case study illustrates level-of-service trade-offs, in terms of waiting times and in-vehicle times, between passenger groups and analyzes traveller mode choices within a mixed fixed- and flexible transit system. Results show that the proposed framework is capable of capturing dynamic route choices in mixed flexible and fixed transit systems and that the day-to-day learning model leads to stable fixed-flexible mode choices.

  • 5.
    Liu, Chengxi
    et al.
    KTH, School of Architecture and the Built Environment (ABE). Swedish Natl Rd & Transport Res Inst, Div Traff Anal & Logist, Stockholm, Sweden..
    Susilo, Yusak
    KTH. Univ Nat Resources & Life Sci BOKU, Inst Transport Studies, Vienna, Austria..
    Termida, Nursitihazlin Ahmad
    KTH, School of Architecture and the Built Environment (ABE). Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, SDRC, Batu Pahat, Malaysia..
    Weather perception and its impact on out-of-home leisure activity participation decisions2020In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 8, no 1, p. 219-236Article in journal (Refereed)
    Abstract [en]

    Weather is fundamentally a perception rather than an objective measure. This study uses data from a four-wave travel diary survey and aims to answer two research questions, i.e. 1. How individuals from different socio-demographic groups perceive weather. 2. How an individual's weather perception affects his/her leisure activity participation decision. A thermal indicator, Universal Thermal Climate Index (UTCI) is used as a synthetic index that represents the thermal environment. Panel static/dynamic ordered Probit model is used to model leisure activity participation. The results show that the reference thermal environment, in general, corresponds to the historical mean of the thermal environment. Moreover, the effect of subjective weather perception on leisure activity participation is non-linear and asymmetric. Only 'very disappointed weather' and 'very satisfied weather' significantly influence leisure activity participation. The intra-individual heterogeneity in the effect of 'very good weather' has a smaller magnitude than that of 'very bad weather'.

  • 6.
    Peftitsi, Soumela
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    Jenelius, Erik
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.
    Cats, Oded
    KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning. Delft Univ Technol, Dept Transport & Planning, Delft, Netherlands..
    Evaluating crowding in individual train cars using a dynamic transit assignment model2021In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 9, no 1, p. 693-711Article in journal (Refereed)
    Abstract [en]

    As travel demand grows in many cities around the world, overcrowding in public transport systems has become a major issue and has many negative effects for both users and operators. Measures to address on-board congestion span from large-scale strategic investments (e.g. increasing infrastructure capacity), through tactical planning (e.g. stopping pattern) to real-time operational measures (e.g. information provision, gate and escalator control). Thus there is a need to evaluate the impact of these measures prior to their implementation. To this end, this study aims at capturing the effective capacity utilization of the train, by considering passengers' distribution among individual train cars into an agent-based simulation model. The developed model is validated and applied to a case study for the Stockholm metro network. The findings suggest that an increase in peak hour demand leads to a more even passenger distribution among individual train cars, which partially counteracts the increased disutility caused by the higher passenger volumes. Interestingly, the closure of the most popular entrance point at one of the stations leads to lower train crowding unevenness at the downstream stops and consequently reduces passengers' experienced discomfort. We find that the user cost is significantly underestimated when passenger distribution among cars is not accounted for.

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