An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system

IF 1.6 4区 工程技术 Q4 TRANSPORTATION
A. Anjomani
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引用次数: 4

Abstract

Over the last several decades, land-use/transport interaction models have evolved. Although these models have the potential to become primary demographic forecasting and planning vehicles in metropolitan transportation planning for most large US urban regions, some gaps and improvements must be addressed.  This paper briefly discusses a newly developed and refined integrated land-use/transportation model. It also introduces innovative approaches to modeling an urban area including a variant of a geographic information system-based land-use and environmental suitability analysis, as main components in deriving development potential for a small-cell grid of the study region. This approach enables the inclusion of public and stakeholder input into the modeling process, facilitates micro-level consideration of trip generation, trip distribution, and mode-choice inside the land-use demographic model, thus furthering the integration of transportation and land use in the modeling process. Such considerations and utilization of rule-based approaches and concerns of economic development and environmental and sustainability factors help close some existing gaps of operational models designed for real world practical applications. All of these features contribute toward further improvement of these models.
土地利用/交通综合预测和规划模型:大都市规划支持系统
在过去几十年中,土地利用/运输相互作用模型不断发展。尽管这些模型有可能成为美国大多数大城市地区大都市交通规划中的主要人口预测和规划工具,但必须解决一些差距和改进。本文简要讨论了一个新开发和完善的土地利用/运输综合模型。它还介绍了城市区域建模的创新方法,包括基于地理信息系统的土地利用和环境适宜性分析的变体,作为得出研究区域小单元网格发展潜力的主要组成部分。这种方法能够将公众和利益相关者的投入纳入建模过程,有助于在土地使用人口模型中对出行产生、出行分布和模式选择进行微观层面的考虑,从而进一步将交通和土地使用纳入建模过程。这种对基于规则的方法的考虑和利用,以及对经济发展、环境和可持续性因素的关注,有助于弥补为现实世界实际应用而设计的运作模式的一些现有差距。所有这些特性都有助于进一步改进这些模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
34
审稿时长
30 weeks
期刊介绍: The Journal of Transport and Land Usepublishes original interdisciplinary papers on the interaction of transport and land use. Domains include: engineering, planning, modeling, behavior, economics, geography, regional science, sociology, architecture and design, network science, and complex systems. Papers reporting innovative methodologies, original data, and new empirical findings are especially encouraged.
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