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Activity-Based Demand Modeling for a Future Urban District

Author

Listed:
  • Younes Delhoum

    (COSYS-GRETTIA, Université Gustave Eiffel, F-77447 Marne-la-Vallée, France)

  • Rachid Belaroussi

    (COSYS-GRETTIA, Université Gustave Eiffel, F-77447 Marne-la-Vallée, France)

  • Francis Dupin

    (COSYS-GRETTIA, Université Gustave Eiffel, F-77447 Marne-la-Vallée, France)

  • Mahdi Zargayouna

    (COSYS-GRETTIA, Université Gustave Eiffel, F-77447 Marne-la-Vallée, France)

Abstract

Identifying the spatio-temporal patterns of people activities in urban areas is key to effective urban planning; it can be used in real-estate projects to predict their future impacts on behavior in surrounding accessible areas. LaVallée is a large construction project recently started in Paris’s suburb; it is a new district due in 2024. The paper is in the field of urban planning, aiming at developing a method making it possible to model the potential visits of the various equipment and public spaces of the district, by mobilizing data from census at the departmental level, and the layout of shops and activities as defined by the real-estate project. This model takes into account the flow of external visitors, estimated realistically based on the pre-project movements in the areas of influence of LaVallée. In this paper, we propose an activity-based model methodology to determine trips and their purpose at a mesoscopic scale including the city and surrounding areas, in the current baseline scenario. This travel demand is required to estimate potential external visitors of the future district. A first demonstration shows that the model correctly represents the current demands and allows the forecast of future demand in the area.

Suggested Citation

  • Younes Delhoum & Rachid Belaroussi & Francis Dupin & Mahdi Zargayouna, 2020. "Activity-Based Demand Modeling for a Future Urban District," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5821-:d:386894
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    References listed on IDEAS

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    1. Yu Zhao & Guoqin Zhang & Tao Lin & Xiaofang Liu & Jiakun Liu & Meixia Lin & Hong Ye & Lingjie Kong, 2018. "Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    2. Vytautas Dumbliauskas & Vytautas Grigonis, 2020. "An Empirical Activity Sequence Approach for Travel Behavior Analysis in Vilnius City," Sustainability, MDPI, vol. 12(2), pages 1-22, January.
    3. Manjula Ranagalage & Ronald C. Estoque & Xinmin Zhang & Yuji Murayama, 2018. "Spatial Changes of Urban Heat Island Formation in the Colombo District, Sri Lanka: Implications for Sustainability Planning," Sustainability, MDPI, vol. 10(5), pages 1-21, April.
    4. Amirhossein Baghestani & Mohammad Tayarani & Mahdieh Allahviranloo & H. Oliver Gao, 2020. "Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    5. Dasaraden Mauree & Silvia Coccolo & Amarasinghage Tharindu Dasun Perera & Vahid Nik & Jean-Louis Scartezzini & Emanuele Naboni, 2018. "A New Framework to Evaluate Urban Design Using Urban Microclimatic Modeling in Future Climatic Conditions," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
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    1. Rachid Belaroussi & Margherita Pazzini & Israa Issa & Corinne Dionisio & Claudio Lantieri & Elena Díaz González & Valeria Vignali & Sonia Adelé, 2023. "Assessing the Future Streetscape of Rimini Harbor Docks with Virtual Reality," Sustainability, MDPI, vol. 15(6), pages 1-25, March.

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