Trips Data | Trips volume, visits, commuting pattern and origin destination data for USA and Canada

Urban SDK is a GIS data management platform and global provider of mobility, urban characteristics, and alt datasets. Urban SDK Trips data provides daily trip volume, distance, travel time, trip time and visit patterns in the US and Canada. “This is data and work that I usually have to pay a contractor for. This is great!” Trips Data Type Profile: - Trip volume is provided as daily observations by defined location(s) and metric - Trips count provides total observations of trips to and from a lat/long point, geohash or administrative boundary - Attracted trips provides total observations of trips to a specific lat/long point, geohash or administrative boundary - Generated trips provides total observations of trips to a specific lat/long point, geohash or administrative boundary - Trip distance provides the trip pattern or journey in km - Trip travel time provides the length of a trip in seconds - Popular trips is a metric provided from aggregated trips used to identify and classify trip purpose - Forecasted trips is a trips metric provided from machine learning to forecast trip behavior - Trip purpose is a metric provided from aggregated location and trip data to infer reason for a trip (e.g Shopping, Commuting to Work, School, Recreation, Entertainment) - Trip data attributes data spatially to lat/long, geohash, administrative boundary, land use or specific location polygon Industry Solutions include: - Site Selection - Site Monitoring - Transit Planning - Transportation Planning - Travel Demand Modeling - Traffic Impact Analysis - Parking Analysis - Event Management - Marketing and Advertising Use cases: - Retail site location monitoring, reporting and site selection - Event management monitoring and planning - Travel demand, parking and transit planning - Origin Destination analysis, and forecasting for transportation, transit, and urban planning. - Marketing and advertising analysis and measurement

搜集汇总

背景与挑战

背景概述

该数据集由Urban SDK提供，涵盖美国和加拿大的每日出行量、距离、旅行时间及访问模式等数据，支持基于地理位置或行政边界的分析。它适用于零售选址、交通规划、事件管理和营销广告等多个行业场景。