The City Form Lab has released a new series of tutorial videos that explain a wide range of Urban Network Analysis Rhino functions. Special thanks to Firas Suqi, Harvard GSD MUP 2019 graduate, for his work on the videos, and to the Harvard Data Science Initiative for supporting the work!
1. UNA Rhino Installation (3min).
Covers the necessary steps for downloading and installing the UNA tools for Rhino.
2. UNA Rhino Introduction (15min).
Provides a general introduction to different UNA tools, including how to set up and clean networks, add origins and destinations, run basic accessibility analysis and save results.
3. Analyzing spatial accessibility with the UNA Rhino toolbox (19min).
Covers the concepts behind and demonstrates applied examples of measuring spatial accessibility using the Reach, Gravity and Straightness metrics.
4. Modeling pedestrian flows with the UNA Rhino betweenness tool. (33 min)
Describes the Betweenness metric, which can be used for modeling pedestrian flows between origins and destinations in built environments.
5. Finding Closest Facilities and Estimating Facility Patronage (17min).
Introduces two separate tools for estimating the use of spatial facilities over networks: Closest Facility and Facility Patronage. The Closest Facility tool can summarize how many origin points or origin point weights are closest to each facility in a given set of facilities, and optionally computes the gravity access values for the facilities. The Find Patronage tool uses a discrete choice model to allocate origin point weights to competing destinations based on their proximity and attractiveness.
6. Finding Clusters along Networks (6min).
Introduces the UNA clusters tool which identifies clusters of points along networks according to two user inputs: a) minimum number of points that make a cluster and b) maximum network distance from each point in a cluster to at least one other member in that cluster.
7. Import-Export Data Management (18min).
Introduces UNA functions for exporting attribute and point location data out of Rhino to Excel or other databases, and for importing data into Rhino from GIS, Excel or other table sources.
8. Distribute Weights (11min).
This tool is used to prepare data for estimating access to passing foot-traffic and candidate facility locations. It distributes attribute weights from origin points to observer points that are located on paths leading to destinations. The sum of distributed weights is equal to origin point weights. The tool is conceptually very similar to the Betweenness tool, but rather than allocating the whole origin weight to each segment or point passed, it only allocates a fraction of the origin weight to each each observer that is passed. Please see the video and the help documentation for more details.
9. Redundant Routes and Redundancy Index (8min).
The Redundant Paths tool finds all possible paths between an origin and a destination that satisfy a given detour ration. These can be used for route choice analysis. The Redundancy Index computes the ratio of all path lengths that fall within the given detour ration and the shortest path length. It describes how much more linear street length becomes available as a choice to a pedestrian, when a walk is extended a certain percentage over the absolute shortest path.