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    LandSys II: Agent-Based Land Use–Forecast Model with Artificial Neural Networks and Multiagent Model 

    Source: Journal of Urban Planning and Development:;2015:;Volume ( 141 ):;issue: 004
    Author(s): Liyuan Zhao; Zhong-Ren Peng
    Publisher: American Society of Civil Engineers
    Abstract: This paper extends the previous LandSys I to introduce artificial neural networks (ANNs) into the framework of cellular automata (CA), multiagents, and geographic information system (GIS) to forecast land-use change at the ...
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    Impacts of Land Use on Urban Road Network Vulnerability 

    Source: Journal of Urban Planning and Development:;2022:;Volume ( 148 ):;issue: 003:;page 04022032
    Author(s): Liyuan Zhao; Shuxian Wang; Jialing Wei; Ruoyu Chen
    Publisher: ASCE
    Abstract: Growth in travel demand exacerbates the road network vulnerability. This study aims to explore how the source of travel demand, that is, the land-use spatial layout, impacts road network vulnerability. Based on the interaction ...
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    Hierarchical Linear Model for Investigating Effect of Built Environment on Bus Transit 

    Source: Journal of Urban Planning and Development:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Liyuan Zhao; Shuxian Wang; Jialing Wei; Zhong-Ren Peng
    Publisher: ASCE
    Abstract: Because proper urban planning and design can improve transit sharing, the impact of the built environment on transit use has attracted the attention of many researchers. Factors with different geographical scales such as ...
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