Predicting Behavioral Changes as a result of land-useModifications in Auto-Centric Communities: Data-DrivenMobility Choice Modeling for Dallas TX

• Autores: Diego Antonelli, Saverio Azzato, Markus Elkatsh, Marie Derain, Luis Pastor, Kent Larson
• Localización: Second International Future Challenges in Sustainable UrbanPlanning & Territorial Management: Proceedings of the SUPTM 2024 conference / Salvador García-Ayllón Veintimilla (dir. congr.), José Luis Miralles García (dir. congr.), 2024, ISBN 978-84-17853-82-2, págs. 21-24
• Idioma: inglés
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• Resumen

  • This research employs a data-driven mobility choice model to investigate the impacts of land-use modifications in an auto-centric neighborhood in Dallas, Texas. Utilizing Replica data and the MIT City Science CityScope platform, this study explores how Live-Work Symmetry and NetZero Commuting policies could impact mobility systems in an otherwise auto-centric urban area.The relevance of this study is to explore how mobility behavior patterns can be extracted from spatial and temporal urban data, such as Replica Data, and applied in a simulated context. Thesimulation was run using the CityScope platform, which allows users to test multiple urban interventions and visualize the impacts on individual mode choices, as well as the resulting 2ndorder effects. By using Dallas as a case study, our research seeks to predict how the transportation mode choices could be more sustainable if land uses in the inner city were changed. Utilizing abinary mobility choice classifier, the study models these choices based on characteristics extracted from areas that exhibit desired land use attributes and rider behaviors, such as trip origindestination coordinates and individual demographics information. The research highlights the significant influence of specific urban interventions in order to foster walkable communities, including housing densification, workplace creation, and walking distance amenities and services.With these interventions, the study demonstrates a paradigm shift in preferences, with a substantial 71.2% of the population leaning towards "green modes" on choices, offering actionable intelligencefor future urban planning strategies in Dallas and beyond.