交通/城市相關的公開的資料集

上學時整理的

• Google dataset search
• Tesco store data (London)
• NHS data (ready for R)
• US City Open Data Census
• nomis
• ONS geoportal
• UK data service
• ONS
• Edina (e.g. OS mastermap)
• Open Topography
• USGS Earth Explorer
• Geofabrik (OSM data)
• Global weather data (points)
• London data store
• Air b n b data
• NASA SocioEconomic Data and Applications Center (SEDAC)
• UN environmental data explorer
• World pop
• World pop github
• DIVA-GIS
• DEFRA
• US Cesus data
• TFL open data
• TFL cycling data
• EU tourism data
• NASA EARTHDATA
• Camden air action
• Kings data on air pollution
• Eurostat
• London Tube PM2.5 levels
• Bike docking data in an R package
• UK COVID data
• R package for COVID data
• Tidy Tuesday data (although look for spatial data)
• Correct statistical tests
• GADM(行政邊界的shp資料)
• World Cities(城市坐标點的資料，可用于extend map中标記出所研究城市的地理位置)
• WorldClim data(氣候資料)
• WUnderground(London Daily溫度、濕度、風向)
• General Transit Feed Specification (GTFS)(交通資料)
• Air Quality Historical Data Platform(空氣品質Daliy資料)

Xie et al., 2020收集的

• NYC taxi data: This type of data can be used for citywide crowd flow prediction, taxi movement and Taxi pick-up/drop-off tasks.
• NYC bike data: Such kind of data can be used for crowd flow forecasting, traffic prediction of bike-sharing system and bike flow prediction tasks.
• San Francisco taxi data: The taxi data can be used with NYC taxi data before.
• Weather and events data: The weather and events data can be used with other traffic flow data for estimating citywide traffic volume, like [86] .
• UK traffic flow datasets: The traffic flow data is suitable for short-term traffic flow forecasting, and it has been used in [56] .
• Traffic flow data is available from the Illinois Department of Transportation: The traffic flow data can be used as UK traffic flow datasets.
• Weather and climate data: The weather and climate data are suitable for weather forecasting related tasks than urban flow prediction tasks.

• Chicago bike sharing data: The bike sharing data is often used for urban bike flow pre-

  diction.

• NSW POI data: The POI data are frequently combined with road network data, GPS trajectories for estimating citywide traffic volume.
• Road network data: The road network data is one of the vital data constituent parts for urban flow prediction.