Integrating Land Use and Transport modeling with Transportation Asset Management

传统的运输管理系统（TMS）关注的是优化资产的处理分配，而没有考虑到随着当地经济的多样化和扩张，交通网络未来增长的资本投资需求。此外，目前的TMS采用交通量的历史记录作为预测资产表现（服务水平、恶化和安全）的普遍组成部分之一，在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方面犯了错误。通过将土地利用与交通模型（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、条件和安全）是合理的，因为它考虑了影响交通系统和旅行多式联运分配的因素，因此反映了更现实的旅行需求衡量标准。此外，这些建模框架之间的连接代表了为维护和修复、网络扩展和资本升级之间的资源货币分配部署多模式权衡分析的机会。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、可及性、污染和安全）提供更平衡的预算。这项研究的最终成果应使地方、区域和联邦当局有能力建立替代方案，以评估政策对解决主要运输问题的影响，例如为交通拥堵定价和估计车辆排放对环境的影响。最终，该研究可以扩展到涵盖所有基础设施系统，并确定可行的方法来估计用于评估基础设施系统对城市和经济发展战略的支持程度的绩效指标。

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.