Request new dataset: Roadway Connectivity #166
Description
Is your feature request related to a problem? Please describe.
Connectivity refers to the density of connections in path or road networks, and the directness of links. A well-connected network has many short links, numerous intersections, and minimal dead-ends (cul-de-sacs). As connectivity increases, travel distances decrease and route options increase, allowing more direct travel between destinations, creating a more Accessible and Resilient system.
Connectivity is an essential consideration in spatial employment studies, as people need to be able to access jobs easily.
A Connectivity Index can be used to quantify how well a roadway network connects destinations. Indices can be measured separately for motorized and nonmotorized travel, taking into account nonmotorized shortcuts, such as paths that connect cul-de-sacs, and barriers such highways and roads that lack sidewalks.
Describe the solution you'd like
To support the GeoE3 initiative, we'd appreciate access to a global dataset, at H3L6, describing connectivity, by using a Connectivity Index, as defined by Ewing,1996: The number of roadway links divided by the number of roadway nodes.
A higher index means that travelers have increased route choice, allowing more direct connections for access between any two locations. According to this index, a simple box is scored a 1.0. A four-square grid scores a 1.33 while a nine-square scores a 1.5. Deadend and cul-de-sac streets reduce the index value. This sort of connectivity is particularly important for nonmotorized accessibility. A score of 1.4 is the minimum needed for a walkable community.
Describe alternatives you've considered
An alternative to this dataset would be to use road density as a proxy - we submitted a ticket for this as well.
Additional context
This would be a great addition to the repository of global public goods that the WBG produces and it will help fill an important gap.