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AN APPROACH TO RESILIENCE IN TRANSPORTATION PLANNING

机译:弹性的运输规划方法

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Qynamic systems are characterize by a collection‘ of;variables and theirl interrelationship/s oven time.Hence.a tjynamic 57% r.e.tier,s;to aiiygg that exolxes or;(:11/artgtgs oxen time l_i_l_:e ym lzanls a,c_c,Qu_ttt or;a: countries C_C/0.I10_I1'llC growth.Resilience;is;the;of a dynamic swim to tietuttn L0.21 stidx state or: stable periodic orbit after;a (E to;big) distturbance and thetrefore the;systems b_ehavio_ur,» will be stable or nirginallyg stablej.Resilience btehavtitotur of the systg stri_v.es to;minimize regret and migge riskl by being a: stablej on marginally stable system.In mathematical terms this definition of resilience refer to convergence,for all starting values near the equilibrium (or small disturbance to the equilibrium) the system will not move away from the/a equilibrium,i.e.a stable (steady state) system or the stable periodic orbit.Hence the system will oscillate between a finite number of points on the long term.To achieve sustainability within a system (e.g.transportation networks,etc.),the way of thinking,planning,project design and implementation needs to be resilient in order to contribute to the system wide sustainability.It thus implies a need for quantitative data and information to optimise planning and to support decision making in an adaptive fashion.Through being able to describe how the system evolves over time,it enable ways to define preconditions or input that will ensure a dynamic system remain stable to promote resilience and sustainability.At present,theory and practices do not make pro~ vision for the development of improved adaptive capacities in all phases of planning through dynamic transportation systems planning and development.The aim of this paper is to introduce and develop resilience-orientated frameworks and approaches based on application of mathematical,statistical and decision-making tools,which can be used to enhance the interface between resilience and sustainability alignment though dynamic thinking,plan- ning and implementation in transportation systems.In the end,this will lead to improved management and sustainable transport planning.
机译:Qynamic系统的特征在于变量及其相互关系的集合时间,因此,动态变量的比率为57%,可以降低或降低(:11 / artgtgs牛的时间l_i_l _ <:e ym lzanls a ,c_c,Qu_ttt或; a:国家C_C / 0.I10_I1'llC增长。复原力是动态游动到tietuttn L0.21 stidx状态的动力,或:之后是稳定的周期性轨道;(E至;大)扰动在此之前,系统b_ehavio_ur的系统将是稳定的或基本稳定的。系统状态的复原力通过将边际稳定系统的稳定化来最小化后悔和迁移风险。 ,对于所有接近平衡点(或对平衡点小的扰动)的起始值,系统都不会偏离平衡点,即稳定(稳态)系统或稳定周期轨道。因此,系统将在有限个数之间振荡长期来看。在系统内实现可持续性(例如运动网络等),思维,计划,项目设计和实施的方式必须具有弹性,以促进全系统的可持续性,因此意味着需要量化的数据和信息来优化计划并支持决策通过描述系统随着时间的变化,它可以定义先决条件或输入,以确保动态系统保持稳定,从而增强弹性和可持续性。目前,理论和实践还没有取得成功。通过动态交通系统的规划和开发来提高规划的各个阶段的适应能力。通过动态思考,计划,可用于增强弹性和可持续性一致性之间的接口最后,这将导致改善的管理和可持续的运输计划。

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