HelsinkiRegionTravelTimeMatrix2018 | Repository for documenting and calculating Travel Time

HelsinkiRegionTravelTimeMatrix2018 is a Python library typically used in Travel, Transportation, Airlines applications. HelsinkiRegionTravelTimeMatrix2018 has no bugs, it has no vulnerabilities and it has low support. However HelsinkiRegionTravelTimeMatrix2018 build file is not available. You can download it from GitHub.

Helsinki Region Travel Time Matrix 2018 is a dataset that contains travel time and distance information of the route that have been calculated from all 250 m x 250 m grid cell centroids (n = 13231) in the Capital Region of Helsinki (see this map) by walking, cycling, public transport and private car. Calculations for public transport and car were done separately for two different time of the day using rush hour (08:00-09:00) and midday (12:00-13:00) schedules/traffic conditions. For cycling, the dataset contains separate time estimates for "fast" (~19 km/h average speed) and "slow" (~12 km/h average speed) cyclists. The grid cells are compatible with the statistical grid cells in the YKR (yhdyskuntarakenteen seurantajärjestelmä) data set produced by the Finnish Environment Institute (SYKE). Dataset is openly available for everyone for free and it can be downloaded from the Accessibility Research Group website (under a Creative Commons 4.0 Licence, see licence text). ID number of the origin grid cell. ID number of the destination grid cell. Travel time from origin to destination by walking. Distance (meters) of the walking route. Total travel time in minutes from origin to destination by fast cycling (~19 km/h); Includes extra time (1 min) that it takes to take/return bike. Total travel time in minutes from origin to destination by slow cycling (~12 km/h); Includes extra time (1 min) that it takes to take/return bike. Distance in meters of the cycling route. Travel time from origin to destination by public transportation in rush hour traffic; whole travel chain has been taken into acount including the waiting time at home. Travel time from origin to destination by public transportation in rush hour traffic; whole travel chain has been taken into account excluding the waiting time at home. Distance (meters) of the public transportation route in rush hour traffic. Travel time from origin to destination by public transportation in midday traffic; whole travel chain has been taken into acount including the waiting time at home. Travel time from origin to destination by public transportation in midday traffic; whole travel chain has been taken into account excluding the waiting time at home. Distance (meters) of the public transportation route in midday traffic. Travel time from origin to destination by private car in rush hour traffic; the whole travel chain has been taken into account. Distance (meters) of the private car route in rush hour traffic. Travel time from origin to destination by private car in midday traffic; the whole travel chain has been taken into account. Distance (meters) of the private car route in midday traffic. Travel time from origin to destination by private car following speed limits without any additional impedances; the whole travel chain has been taken into account. The routes by walking were also calculated using the MetropAccess-Reititin by disabling all motorized transport modes in the calculation. Thus, all routes are based on the Open Street Map geometry. The walking speed has been adjusted to 70 meters per minute, which is the default speed in the HRT Journey Planner (also in the calculations by public transportation).