Road Network data input for Optimisation problems

[rajesvariparasa]

What do you think about the quality of Geofabrik's road network data as input to the model (or any network analysis model in general)? Are there are any automated ways of assessing (maybe quantifying/describing the amount of error?) and improving the quality of a large street network data? Since the analysis has to be carried out at the city level, it's very difficult to build a road network from scratch. And I am looking for ways to minimize the error due to a faulty road network (e.g. lines which run parallel to both sides of a road disconnecting the two sides of the network, absent nodes and overshoots/undershoots instead).

I recently came across pyrosm which outputs graphs for network analysis for OSM data downloaded from providers like Geofabrik, BBBike. Can this help in arriving at a more connected road network with OSM data? And if so, will spaghetti take a network as input as opposed to a raw .shp for the optimisation problems?

[jGaboardi]

@rajesvariparasa To be clear, no mathematical optimization actually happens in spaghetti. The optimal facility location tutorial (along with the traveling salesperson problem and transportation problem) are examples of using products generated from spaghetti as input for a subsequent problem (origin-destination distance matrices in all cases).

I have no experience with Geofabrik, so I can't speak to that, but you my be interested in osmnx for extracting cleaned networks/graphs from OSM data.

• GitHub
• docs
• Boeing, G. 2017. “OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks.” Computers, Environment and Urban Systems. 65, 126-139. doi:10.1016/j.compenvurbsys.2017.05.004