Traffic Structure and Dynamics - Sample

Dataplace.ai helps businesses understand where their customers are in the offline world. Whether it’s about mapping customers’ journey, defining location for a new store, targeting the right customers with marketing efforts and driving offline to online communication or identifying points of sale with the highest sales potential – we make everyday business decisions in the offline world easier.

Our data, products and services help business to better understand the power of ‘where’. Thanks to our technology and data science we’re able to build precise prediction models, extrapolate raw mobile location data into actual traffic insights with over 90% accuracy and provide complex traffic analysis at any location level – from a zip code level, through a geo-hash, to a particular address.

Sample Tables:
- Traffic structure with pedestrian and car division
- Hourly traffic structure
- Location traffic analysis

Fields included:
- Type of spatial unit geohash6
- average number of people moving through a selected area daily
- average number of people moving through a selected area daily on foot
- average number of people moving through a selected area daily by car
- Traffic share with hourly division
- Share of people staying in the area
- Share of people passing by the area
- Monthly traffic reccurence

搜集汇总

背景与挑战

背景概述

该数据集提供地理哈希6级空间单元内的交通动态分析，包含行人/车辆日均流量、小时级流量分布、停留/途经人员比例等字段，支持商业选址和营销决策。数据通过移动定位信息建模，预测准确率超90%。