LDU | Germany | 2020 Reachable Population Counts (by age and sex) within a 4 Hours timeframe by Truck | 76174 Origins

This is NOT a raw population dataset. We use our proprietary stack to combine detailed 'WorldPop' UN-adjusted, sex and age structured population data with a spatiotemporal OD matrix. The result is a dataset where each record indicates how many people can be reached in a fixed timeframe (4 Hours in this case) from that record's location. The dataset is broken down into sex and age bands at 5 year intervals, e.g - male 25-29 (m_25) and also contains a set of features detailing the representative percentage of the total that the count represents. The dataset provides 76174 records, one for each sampled location. These are labelled with a h3 index at resolution 7 - this allows easy plotting and filtering in Kepler.gl / Deck.gl / Mapbox, or easy conversion to a centroid (lat/lng) or the representative geometry of the hexagonal cell for integration with your geospatial applications and analyses. A h3 resolution of 7, is a hexagonal cell area equivalent to: - ~1.9928 sq miles - ~5.1613 sq km Higher resolutions or alternate geographies are available on request. More information on the h3 system is available here: https://eng.uber.com/h3/ WorldPop data provides for a population count using a grid of 1 arc second intervals and is available for every geography. More information on the WorldPop data is available here: https://www.worldpop.org/ One of the main use cases historically has been in prospecting for site selection, comparative analysis and network validation by asset investors and logistics companies. The data structure makes it very simple to filter out areas which do not meet requirements such as: - being able to access 70% of the German population within 4 hours by Truck and show only the areas which do exhibit this characteristic. Clients often combine different datasets either for different timeframes of interest, or to understand different populations, such as that of the unemployed, or those with particular qualifications within areas reachable as a commute.

搜集汇总

背景与挑战

背景概述

该数据集基于WorldPop人口数据和时空OD矩阵，计算了德国2020年通过卡车在4小时内从76174个起点可到达的人口数量，并按性别和5岁年龄组细分。数据采用H3索引进行地理编码，便于地理空间分析和可视化，主要应用于选址规划、物流网络验证等场景。