Our goal and methods
CityGraph began as a way to examine how transit is viewed at the individual level. Not traveling from somewhere in a 400 square meter area to another 400 square meter area but traveling from your apartment building to your office building.
CityGraph creates a detailed interface mapping out accessibility of metropolitan areas. This analysis is done for the entire metropolitan area at an unparraleled resolution, the individual building. Through advanced algorithms all these computations are done in record time.
One advantage of building-level resolution is a more accurate evaluation of service coverage, how many people have access to a bus stop within a reasonable distance. With only low resolution, calculating the percentage of area covered is common. But this can be easily skewed by especially low or high density areas. By using building-level resolution, including building height and area, we can explore transit coverage by where the population actually lives rather than just surface area. Thus, we are able to much more accurately analyze the true door-to-door travel time by transit from the user-level perspective.
The combination of speed and detail allows CityGraph users to rapidly simulate the impact of different scenarios including new transit lines, changes in frequency and moving bus stops on accessibility. The user can compare multiple scenarios making the alternatives analysis process considerably easier and less time-consuming.
Application in Academia
CityGraph has a strong working relationship with academia. Output from our products are used as part of cutting edge research including studies sponsored by the Israeli Ministry of Transport. The ability to perform quick, high resolution visual analytics allows researchers and industry practitioners to solve new problems more efficiently.