Data underlying the publication: Shady Amsterdam: Identifying the shady places and routes of Amsterdam

It contains dataset from the Shady Amsterdam's project: shade maps of Amsterdam were created for each warm month using the Daily Shadow Pattern tool of the Urban Multiscale Environmental Predictor (UMEP). Second, cool spaces were identified and evaluated based on accessibility, shading, usability, capacity, heat risk, and Physiological Equivalent Temperature (PET) indicators. Lastly, after obtaining and processing the pedestrian network from the Open Street Map database, shade weight was calculated for each street segment, and cool spaces were incorporated into the network, allowing users to generate datasets of the shortest and shadiest distances to cool spaces, and an algorithm that performs four different routing options: the shortest, the shadiest, and two combinations of the shortest and shadiest paths with different weighting ratios either between two locations or from a starting point to its nearest cool space.

本数据集涵盖Shady Amsterdam项目的相关数据。首先，依托城市多尺度环境预测器（Urban Multiscale Environmental Predictor，UMEP）的每日阴影模式工具，为阿姆斯特丹各暖月构建了城市阴影地图；其次，基于可达性、遮阳效果、使用便利性、承载容量、热风险等级及生理等效温度（Physiological Equivalent Temperature，PET）指标，对城市凉爽空间开展识别与评估工作；最后，从开放街道地图（Open Street Map）数据库获取并处理行人路网后，为每条街道路段计算遮阳权重，并将凉爽空间嵌入路网，支持用户生成通往凉爽空间的最短且最阴凉路径数据集，同时配套可实现四类路径规划方案的算法：最短路径、最阴凉路径，以及两种采用不同加权比例融合最短与最阴凉路径的方案，可用于两地间路径规划，或从起点前往其最近凉爽空间的路径规划。