Abstract
Integrated Land Use and Transportation Models (ILUTMs) are revolutionary planning support tools that have been used in the developed countries since the early 1990s. ILUTMs evolved in response to the complexity of the urban planning pro-cess, which became more communicative and collaborative process involving different stakeholders with diverse and con-flicting interests. The main challenge for the ILUTMs to be used in the developing countries is the cost of rich data needed for these models to give satisfactory results. This paper discusses the technical problems facing the researchers and the ur-ban planners in adopting ILUTMs. The research proposes an alternative modeling approach that makes ILUTMs applicable in the developing countries’ context. The suggested approach is centered on the idea of functioning within data-poor con-text instead of the costly data-rich context. The paper concludes with the expected limitations in the new modeling ap-proach and suggests some guidelines for the researchers in order overcome these limitations.
Highlights
Planning is a process that mainly aims to produce future oriented plans used as guidelines by different levels of decision-making
The fast urban growth and higher densities call for sophisticated planning tools to be able to deal with the interconnected environmental, socioeconomic and geopolitical issues
Due to the environmental impacts of the urban growth and the high cost of infrastructure required to accommodate this growth, the planning tools should be able to predict where and how much growth will occur, and how strong the change will be. This motivated scientists and researchers from different disciplines to cooperate in order to build what so called Integrated Land Use and Transportation Models (ILUTMs)
Summary
Planning is a process that mainly aims to produce future oriented plans used as guidelines by different levels of decision-making. Due to the environmental impacts of the urban growth and the high cost of infrastructure required to accommodate this growth, the planning tools should be able to predict where and how much growth will occur, and how strong the change will be This motivated scientists and researchers from different disciplines to cooperate in order to build what so called Integrated Land Use and Transportation Models (ILUTMs). The proposed approach consists of developing new ideas and techniques that attempt to bridge the simplicity of the aggregate modeling approaches and the advantages of disaggregate approaches This endeavor requires defining clear borderlines, in terms of statistical uncertainty, between lowest levels of aggregate data and the highest levels of disaggregate data for various data sets used in different submodels in an ILUTM
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