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A Data-Driven Agent-Based Mobility Simulation Model and Its Integration into Urban Design and Planning.
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A Data-Driven Agent-Based Mobility Simulation Model and Its Integration into Urban Design and Planning.
자료유형  
 학위논문
Control Number  
0017160534
International Standard Book Number  
9798382840505
Dewey Decimal Classification Number  
620
Main Entry-Personal Name  
Yang, Yang.
Publication, Distribution, etc. (Imprint  
[S.l.] : Cornell University., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
206 p.
General Note  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
General Note  
Advisor: Dogan, Timur.
Dissertation Note  
Thesis (Ph.D.)--Cornell University, 2024.
Summary, Etc.  
요약Well-informed design and planning of the built environment are crucial for achieving sustainable, resilient, and equitable urban mobility. However, urban designers encounter difficulties in quantitatively evaluating scenarios from mobility-focused perspectives due to the lack of mobility simulation and analysis tools suitable for integration into the iterative design process. This research aims to bridge this gap by pursuing two key objectives: (1) developing an optimized mobility simulation framework capable of modeling large-scale human traveling behaviors in an agile manner; and (2) integrating the proposed mobility simulation method into the urban design process and planning studies through various case studies, discussing its capabilities and potentials. The first research objective is accomplished through the creation of a data-driven agent-based mobility simulation tool that can simulate one-day travel behaviors for a synthetic population in user-defined urban areas. The simulation engine is written as a .NET package and can be used for plugins to Rhino3D & Grasshopper and ArcGIS. The tool makes essential transportation information, such as travel demands and pedestrian flow distribution, easily accessible and analyzable, empowering designers to make well-informed decisions during critical stages of the design process. The second research objective is achieved through multiple case studies that exemplify the proactive integration of mobility simulation into various aspects of urban design and planning, such as computational urban design and equity-focused urban planning. These case studies yield important insights into how the proposed model can facilitate the design and planning of the built environment from a mobility perspective. 
Subject Added Entry-Topical Term  
Engineering.
Subject Added Entry-Topical Term  
Urban planning.
Subject Added Entry-Topical Term  
Transportation.
Index Term-Uncontrolled  
Agent-based simulation
Index Term-Uncontrolled  
Machine learning
Index Term-Uncontrolled  
Urban design
Index Term-Uncontrolled  
Urban mobility
Index Term-Uncontrolled  
Human traveling
Added Entry-Corporate Name  
Cornell University Systems Engineering
Host Item Entry  
Dissertations Abstracts International. 85-12B.
Electronic Location and Access  
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Control Number  
joongbu:658116
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TQ0034434 T   원문자료 열람가능/출력가능 열람가능/출력가능
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