Integrating Land Use and Transport modeling with Transportation Asset Management

传统上，随着当地经济的多样化和扩张，运输管理系统(TMS)关注的是在不考虑运输网络未来增长的资本投资需求的情况下，优化资产之间的治疗分配。此外，目前的TMS使用交通统计的历史记录作为预测资产表现(服务水平、恶化和安全)的流行组件之一，犯了错误，即对土地利用模式的变化、新经济活动的发展和/或交通网络上替代走廊的建设及其对交通再分配的影响缺乏灵活性。通过将土地利用与运输模型(LUT)的输出反馈到TMS中，有望改善经济资源的配置。改进的TMS性能模型(机动性、状况和安全性)在考虑影响交通系统的因素和出行的多式联运分布时得到了整体验证，从而反映了更真实的出行需求衡量标准。此外，这些建模框架的联系意味着有机会部署多模式权衡分析，以便在维护和修复、网络扩展和基本建设升级之间进行资源的货币分配。它将为我们提供一个改进的决策框架，能够为实现全球目标(成本、条件、服务、可获得性、污染和安全)提供更平衡的预算。这项研究的最终结果应该使地方、地区和联邦当局能够建立替代情景来评估政策的影响，以解决主要的交通问题，如定价、交通拥堵和估计车辆排放的环境影响。最终，这项研究可以扩展到涵盖所有基础设施系统，并确定评估绩效衡量的可行方法，以评估基础设施系统支持城市和经济发展战略的程度。

Traditionally Transportation Management Systems (TMS) are concerned with optimizing the allocation of treatments across assets without contemplating the capital investment needs for the future growth of the transportation network, as our local economies diversify and expand. Also current TMS employ historical records of traffic counts as one of the prevalent components for forecasting asset performance (level of service, deterioration and safety), committing the mistake of being inflexible about changes on land use patterns, development of new economical activities and/or construction of alternative corridors on the transportation network and its effects on traffic redistribution. By combining the output of the land use & transport modeling (LUT) to feedback into the TMS, it is expected to improve the allocation of economic resources. The improved performance models of the TMS (mobility, condition and safety) are justified by the holistic approach in considering the factors affecting the transportation system and the multimodal distribution of trips, therefore reflecting a more realistic measure of travel demand. In addition, a connection of these modeling frameworks represents the opportunity to deploy multimodal trade-off analysis for the monetary allocation of resources between maintenance and rehabilitation, network expansion and capital upgrades. It will provide us with an improved decision making framework capable of delivering a more balanced budget for the achievement of global objectives (cost, condition, service, accessibility, pollution and safety). The final product of this research should enable local, regional and federal authorities with the capability of building alternative scenarios to assess the impact of policies to address major transportation issues such as pricing traffic congestion and estimating the environmental impact of vehicle emissions. Ultimately, the research can be extended to cover all infrastructure systems and to identify viable means to estimate performance measures to be used to evaluate how well the infrastructure systems support urban and economic development strategies.