|data_in= [[GTFS]], [[OpenStreetMap]], ACS/Census, LODES, custom shapefiles
|data_out= GIS shapefiles, maps, accessibility graphs, GeoTIFF,
/projects/analyst/ http://conveyal.com /projects/analyst/]
Transport Analyst integrates transit and land use data to compare current system performance and accessibility with various scenarios. It is an open source tool developed by [[Conveyal]], and can be hosted and run independently or hosted by Conveyal for a fee along with consulting services.
[[File:Conveyal-jobs-access.png|thumb|Identifying places that see increased access to jobs due to a new transit line. <br>Source: http://conveyal.com/projects/analyst/]]
[[File:Analysis-spectrogram.png|thumb|Accessibility spectrogram from Conveyal Analyst. Shows the increase in accessible opportunities (in this case jobs) as travel time increases. The wider portions reveal system uncertainty or unreliability caused by low service frequency.<ref>Conveyal analysis-ui documentation. Accessed 20 April 2017. http://analysis-ui.readthedocs.io/en/latest/analysis/#spectrogram</ref> ]]
Analyst offers basic statistics of how far or fast a system can carry people but also, by layering information from [[OpenStreetMap]] and census data, it allows planners to view accessibility. Analyst can display job opportunities, businesses, and various amenities that become more accessible to people living near a new planned transit line. Accessibility outcomes offer new opportunities for collaboration between land use and transportation planning. The software can intake multiple alternatives and return graphical prototypes such as spectrograms and histograms that compare accessibility outcomes for the different scenarios.
The accessibility outcomes offered by Analyst display the total number of a given amenity that can be reached within a given amount of time from a given point, or for a full system analysis, the number of origin destination combinations available within a given amount of time. For example, it can show how many jobs can be reached from a household, or how many household-job combinations exist withing a time cutoff. The information is displayed as a spectrogram that demonstrates the change in access to the given amenity as the travel time cutoff increases, and as a histogram that shows the variability of accessibility for a given time cutoff with in a time range, highlighting the effects of schedules and headways.
A single point analysis, showing accessibility from that point to all other points, can be calculated quickly, usually taking 5-15 second. An analysis of an entire region, looking at accessibility from every point to every other point, takes longer. The factors that most affect computation time are the size of the region, the number of points in the region, and the size and density of the transit and transportation network. Furthermore, a scenario analysis is able to use results from the base case and only run the analysis where results will differ. Therefore, more changes in a scenario will lead to longer computational time. An analysis run on a single server can take anywhere from a few hours to a few days depending on the complexity of the system. If the analysis is run on multiple servers, either using [[Conveyal|Conveyal's]] hosting service or through other access to cluster computing, the runtime can be reduced to a few minutes to a few hours.