The RPA Job Access map measures the accessible jobs from a given origin by walking, biking, public transit or car. Travel times approximate a typical morning commute.
The tool allows the user to define the place of origin, mode and maximum travel time. Jobs with in the travel-shed are tabulated and mapped. The map representation shows a single point for each job. Jobs are color coded by either industry classification or educational attainment of the workforce.
Public transit travel times are calculated using publicly-available data sets in the GTFS format. These data sets contain schedules and timetables for most public transport service within the New York metro region.
Driving, walking and and biking is calculated using the OpenStreetMap data set, a global, seamless map of roadway and pedestrian infrastructure.
OpenTripPlanner, an open source software package, is used to calculate travel times across all modes. Public transit times are based on GTFS-derived timetables. Driving times are estimated based on average roadway speeds for a given roadway classification, and are adjusted using publically available roadway speed data from NYMTC and the NJTPA Regional Transportation Model.
Travel times are estimates using best-available information, and should not be used for travel planning purposes.
Public transit trips are calculated by finding fastest travel times via any combination of walking and public transit based travel. In areas where walking is faster/more accessible than public transit, the travel-shed will reflect primarily walk-based journeys.
Morning rush travel speeds are estimates based on a comparison of different data sets. For traffic data within New York State historical averages from 2011 NYMTC data is used to calculate percent-change in travel speeds between 7-9am when compared against daily maximums. For New Jersey morning congestion speed data from the NJTPA Regional Transportation Model was used. Appropriate morning rush data was not available for Connecticut; results there reflect daily average travel times.