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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Review of Landuse Transportation Interaction Model in Smart Urban Growth Management

Authors: Sharma, Shashikant Nishant; Dehawar, Kavita;

Review of Landuse Transportation Interaction Model in Smart Urban Growth Management

Abstract

Land use and transportation systems play a vital role in shaping the dynamics of urban areas, with profound implications for sustainability, mobility, and quality of life. Researchers and policymakers have developed various Land Use Transportation Interaction (LUTI) models to understand the intricate relationship between land use and transportation. These models aim to capture the complex interactions between land-use patterns and transportation systems, enabling more informed planning and decisionmaking processes. This study provides a comprehensive review of the applicability of LUTI models, highlighting their strengths, limitations, and potential for addressing contemporary urban challenges. This review encompasses many LUTI models, including microsimulation, spatial econometric, and integrated land-use transport models. It examined the underlying theoretical foundations, data requirements, calibration techniques, and computational aspects. This review identifies key factors influencing the applicability of LUTI models, such as data availability, computational capabilities, and the specific urban context in which they are applied. It explores the challenges faced in integrating land-use and transportation data, incorporating temporal dynamics, and capturing the impacts of policy interventions.

Keywords

Transport Planning, Transport, Landuse Transport Interaction, Landuse

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green