Bridging land use and transport planning: An AI-enabled decision support system for new urban developments

^*Corresponding author for this work

Department of Computer Science, Data Science, and Engineering, New York University Shanghai, Pudong, Shanghai, China
School of Advanced Technology
Xi'an Jiaotong-Liverpool University

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Transportation Research Part A: Policy and Practice
DOIs	https://doi.org/10.1016/j.tra.2026.105094
Publication status	Published - Sept 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Bridging land use and transport planning: An AI-enabled decision support system for new urban developments",

author = "Jiawei Tong and Guangyu Wang and Ruoxi Liao and Shuihua Wang and John Moraros",

year = "2026",

month = sep,

doi = "10.1016/j.tra.2026.105094",

language = "English",

journal = "Transportation Research Part A: Policy and Practice",

issn = "0965-8564",

}

TY - JOUR

T1 - Bridging land use and transport planning: An AI-enabled decision support system for new urban developments

AU - Tong, Jiawei

AU - Wang, Guangyu

AU - Liao, Ruoxi

AU - Wang, Shuihua

AU - Moraros, John

PY - 2026/9

Y1 - 2026/9

U2 - 10.1016/j.tra.2026.105094

DO - 10.1016/j.tra.2026.105094

M3 - Article

SN - 0965-8564

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

ER -