Urbano comes with starter templates that can guide you through all basic use cases. Default template files are in C:\Urbano where you can also include your own customized templates or download new templates in the future by URL.

With given origins and destinations, the Router component computes the shortest path and returns each trip's route, distance and travel time. Distinct traffic modes (e.g. pedestrian, car, bike) result in variant outcomes according to the validity of the mode in the existing network.

By measuring the travel time between the given origin and all other buildings in the model and filtering the results by customized time limits, destinations within the accessible radius from the origin building are visualized on the map.

The Trip Engine component iterates through each given origins and then executes a trip-sending process, during which it calculates the total population in the origin-building and divides it into activities defined in the ADP-data. It then searches for corresponding amenities within the travel time limit and send correlative population to valid destinations.

Streetscore is responsive to changes in the network. Adding a new link and improving the connectivity leads to different Street Hits on the relative street segments.

Number of people going to each amenity (Amentiy Hits) is counted by the Hits component. With a new office/residential building with certain amounts of population built in the model, the hits of the nearby amenities increase accordingly, which inform users about project's influence on the surrounding urban enviornment.

Adding a type of amenity decreases the hits of other amenities of the same type. Amenityscore helps to measure if the supply exceeds the demand in the study area. A desirable Amenityscore is close to 0, which indicates a balance of supply and demand.

The ADP data shipped with Urbano has a 24-hour timeline. The trip-sending procedure is repeated using the ADP-data for each time step. Simulation results represent the overal temporal difference in terms of human activities regarding the urban amenities.

By introducing new amenities that were lacked in certain area, the Walkscore is improved. Weights of different activities is indicated by the ADP-data.

This is a demo series about using Urbano in different stages of an urban design project, including downloading the map data, importing and building the model, analyzing the site, evaluating design scenarios, and conducting generative design.