“…To be precise, resilience is “… the ability of social units (e.g., organizations, communities) to mitigate hazards, contain the effects of disaster when they occur, and carry out recovery activities in ways that minimize social disruption and mitigate the effects of future disasters” ( Bruneau et al, 2003 ). In the context of transportation systems, the literature ( Fletcher and Ekern, 2016 , Janić, 2019 , Serulle et al, 2011 , Ta et al, 2009 ) has generally characterized a resilient transportation system to be one that can maintain and efficiently restore network functionality (passenger mobility and/or freight flows) in the event of a disruption ( Cantillo et al, 2019 , Rivera-Royero et al, 2022 ). The resilience literature offers a wide-range of such domain-specific interpretations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…2 presents typical use of resilience triangle(s) for a system witnessing disruption (between disruption start and end day) resulting in a loss of service (until recovery day) which is characterized by the shape and size of triangle(s) pivoted at pre-disruption initial -, peri-disruption nadir -, and post-disruption recovered - level of service. While these attribute- and performance- based methods typically use domain-agnostic indicators, the resilience literature has also developed domain-specific indicators such as topological metrics used for network analysis ( Rivera-Royero et al, 2022 , Zhou et al, 2019 ). Fig.…”
“…To be precise, resilience is “… the ability of social units (e.g., organizations, communities) to mitigate hazards, contain the effects of disaster when they occur, and carry out recovery activities in ways that minimize social disruption and mitigate the effects of future disasters” ( Bruneau et al, 2003 ). In the context of transportation systems, the literature ( Fletcher and Ekern, 2016 , Janić, 2019 , Serulle et al, 2011 , Ta et al, 2009 ) has generally characterized a resilient transportation system to be one that can maintain and efficiently restore network functionality (passenger mobility and/or freight flows) in the event of a disruption ( Cantillo et al, 2019 , Rivera-Royero et al, 2022 ). The resilience literature offers a wide-range of such domain-specific interpretations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…2 presents typical use of resilience triangle(s) for a system witnessing disruption (between disruption start and end day) resulting in a loss of service (until recovery day) which is characterized by the shape and size of triangle(s) pivoted at pre-disruption initial -, peri-disruption nadir -, and post-disruption recovered - level of service. While these attribute- and performance- based methods typically use domain-agnostic indicators, the resilience literature has also developed domain-specific indicators such as topological metrics used for network analysis ( Rivera-Royero et al, 2022 , Zhou et al, 2019 ). Fig.…”
“…A system is a collection of components, units, or integrity that support and collaborate to integrate the system [6]. As a result, if one component fails, the system as a whole is harmed [7]. While transportation in general can be defined as an effort to transfer, or the mobility of people or products, from one location, commonly referred to as the origin site, to another location, commonly referred to as the particular destination, for specific goals utilizing appropriate equipment, transportation in particular can be described as an attempt to distribute, or the mobility of people or products from one location, commonly referred to as the origin site, to another location, commonly referred to as the particular destination, for specific goals utilizing appropriate equipment [7,8].…”
Section: Figure 1 Kp-ikn Road and Rail Network Plan Transportation Sy...mentioning
The development of the New Indonesia’s Capital, called the IKN, will undoubtedly draw many people to come and engage in the IKN region, although not inside the IKN area, since the development is confined to a small area with smart city, blue city, and forest city ideas merged. Restrictions on mobility inside the IKN area will almost definitely create issues for road network connectivity across IKN's surrounding areas, so it was deemed essential to have a road network development model that maintains IKN as a limited area while also functioning as a catalyst for economic growth in partner areas. The focus of this research is to provide a model for developing a road network based on local wisdom and the resources of each partner region surrounding IKN. The method employed in this study is based on gathering secondary data of the surrounding areas, which has local resources and local wisdom. The resources and the local wisdom are considered a trip attractor. The IKN masterplan data was also employed in this study as the main subject. Principles and road network development theory were used to analyze the data. The findings of this research led to the development of a new road network in various regions, including Senoni, Gusig, and Tukuq. This road network is deemed necessary to be developed, due to its trip attraction potential. It is hoped that the implementation of these new road networks will also have positive impacts on the development of partner areas surrounding IKN. Doi: 10.28991/CEJ-2022-08-05-06 Full Text: PDF
“…rough mathematical topology techniques, the relative influence between different routes and the traffic efficiency of the route network is studied [6]. Rivera-Royero et al study route network performance from 11 RNP concepts and develop a classification scheme to map possible relationships and boundaries between them [7]. Munir et al provide a template for the analysis of demand type indicators by evaluating the effectiveness of travel demand management strategies [8].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Delete duplicate numbers outside the protected area output Pareto Front (5) begin (6) initialize terminal station sequence (7) T ⟵ 0 (8) while (T < cycle times): (9)…”
Section: Genetic Algorithm Design and Paretomentioning
Due to continuous urban sprawl, large-scale bus network design has become a major challenge in urban transport planning. The continuous increase in urban population and scale makes the factors considered in the urban route network design increasingly complex. Contemporary public transportation network design problems are based more on efficiency goals such as the accessibility and comfort of the transportation network, which increases the difficulty of analyzing the problem. Bus network design is not only an NP-hard (nondeterministic polynomial) problem but also a multivariable and multiobjective problem. This paper focuses on the bivariate and multiobjective bus network design problem of route generation and station selection. This paper proposes an algorithm called the Pseudo Force Field. By combining the idea of Particle Swarm Optimization (PSO) and the properties of the force field, a feasible route generation scheme is provided for the design of the bus network. The algorithm does not need to determine the end station and has a high degree of completion of the demand. This solves the problem of the selection of terminal stations in large-scale road network design. On this basis, the article combines Genetic Algorithm (GA) and Pareto frontier to provide a new route optimization algorithm and proves the effectiveness of the algorithm. The model has achieved theoretical results in the design of the bus route network in the megacity of Shenzhen, China.
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