Using Open Data to Derive Local Amenity Demand Patterns for Walkability Simulations and Amenity Utilization Analysis

Using Open Data to Derive Local Amenity Demand Patterns for Walkability Simulations and Amenity Utilization Analysis

Yang, Yang; Samaranayake, Samitha; Dogan, Timur

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Understanding human behavior and preferences are important for urbanplanning and the design of walkable neighborhoods. However, it remainschallenging to study human activity patterns because significant efforts arerequired to collect the relevant data, convert unstructured data into usefulknowledge, and take into consideration different urban contexts. In the context ofthe heated discussion about urban walkability and amenities, as well as the needof identifying a feasible approach to analyze human activities, this paperproposes a simple and effective metric of the amenity demand patterns, whichdemonstrates the spatiotemporal distribution of human activities according to theactiveness in urban amenities. Such metric has the potential to support the urbanstudy about people, mobility, and built environment, as well as other relevantdesign thinking. Further, a case study illustrates the data and the new metric canbe used in walkability simulations and amenity utilization analysis, thusinforming the design decision-making process.

Understanding human behavior and preferences are important for urbanplanning and the design of walkable neighborhoods. However, it remainschallenging to study human activity patterns because significant efforts arerequired to collect the relevant data, convert unstructured data into usefulknowledge, and take into consideration different urban contexts. In the context ofthe heated discussion about urban walkability and amenities, as well as the needof identifying a feasible approach to analyze human activities, this paperproposes a simple and effective metric of the amenity demand patterns, whichdemonstrates the spatiotemporal distribution of human activities according to theactiveness in urban amenities. Such metric has the potential to support the urbanstudy about people, mobility, and built environment, as well as other relevantdesign thinking. Further, a case study illustrates the data and the new metric canbe used in walkability simulations and amenity utilization analysis, thusinforming the design decision-making process.

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DOI: 10.5151/proceedings-ecaadesigradi2019_627

Referências bibliográficas

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Como citar:

Yang, Yang; Samaranayake, Samitha; Dogan, Timur; "Using Open Data to Derive Local Amenity Demand Patterns for Walkability Simulations and Amenity Utilization Analysis", p-665-674. In: Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference, “Architecture in the Age of the 4Th Industrial Revolution”, Porto 2019, Sousa, José Pedro; Henriques, Gonçalo Castro; Xavier, João Pedro (eds.). São Paulo: Blucher, 2019.
ISSN 23186968, DOI 10.5151/proceedings-ecaadesigradi2019_627