Data on bicycle traffic in Gdansk paired with weather and air quality data - Open Research Data - Bridge of Knowledge

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Data on bicycle traffic in Gdansk paired with weather and air quality data

Description

The file contains data on bicycle traffic registered by counting stations loacted in Gdańsk in the years 2013-2020. The data are paired with weather and air quality data from Gdansk collected for the same period. The data is described below:

  • Point no. - individual number of the bicycle traffic counting station
  • Bicycles per day - daily number of bicycles registered by the station
  • Day type - is 1 if public holiday (free of work), is 2 if summer holidays (free of school), is 3 if winter holidays (free of school)
  • TEMP - average daily temperature in Celsius degrees [oC], weather station Gdansk Rebiechowo
  • TEMP_MIN - minimum daily temperature [oC], weather station Gdansk Rebiechowo
  • TEMP_MAX - maximum daily temperature [oC], weather station Gdansk Rebiechowo
  • FWS - Average daily wind speed [m/s], weather station Gdansk Rebiechowo
  • NOS - Average daily overall cloudiness [octants], weather station Gdansk Rebiechowo
  • PREC - Daily sum of precipitation [mm], weather station Gdansk Rebiechowo
  • PREC_TYP - Precipitation type (S - snow, W - water), weather station Gdansk Rebiechowo
  • SO2 - averaged hourly SO2 emission in 6am-10pm period [ug/m3], air quality monitoring station Gdansk Leczkowa
  • PM10 - averaged hourly PM10 emission in 6am-10pm period [ug/m3], air quality monitoring station Gdansk Leczkowa
  • NOx - averaged hourly NOx emission in 6am-10pm period [ug/m3], air quality monitoring station Gdansk Leczkowa
  • CO - averaged hourly CO emission in 6am-10pm period [mg/m3], air quality monitoring station Gdansk Leczkowa

Location of bicycle counting stations is presented below.

Illustration of the publication

Fig. Map of Gdansk's bicycle counting stations. Point no. match the numbers of stations on the map. Source: www.rowerowygdansk.pl

Dataset file

Gdansk_bicycle_traffic.csv
3.9 MB, S3 ETag ad9fec14ef6460464982ecec74077d4e-1, downloads: 73
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Custom
File embargo:
2021-12-31

Details

Year of publication:
2021
Verification date:
2021-06-17
Creation date:
2021
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/x0ms-f227 open in new tab
Verified by:
Gdańsk University of Technology

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