Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto
收藏DataCite Commons2025-01-02 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/a1a443f7-8fe6-4348-846a-00d9b681dd13
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资源简介：
The dataset used in this paper is a collection of 31 Neighbourhood Improvement Areas (NIAs) in Toronto, Canada. Each NIA has a set of residential locations, candidate allocation locations, and existing amenities. The dataset is used to evaluate the effectiveness of the Walkability Optimization algorithm in improving walkability in underserved neighbourhoods.
提供机构：
TIB
创建时间：
2025-01-02
