Proposal
Title: Measuring Connectivity for
Bicycling and Walking
Principal Investigator: Jennifer Dill, Ph.D., School of Urban Studies
and Planning, Portland State University
Advocates of New Urbanist
and neo-traditional planning concepts include street connectivity as a key
component for good neighborhood design. Street networks that are more grid-like
are preferred over networks that include many cul-de-sacs and long blocks, thus
increasing distances between destinations. The increased distances are thought
to discourage walking and bicycling and, thus, physical activity. While
intuitively attractive, there is limited empirical research at this time making
this connection. There is also debate over how to measure connectivity and what
levels of connectivity are appropriate. The current debate is particularly
unclear because street connectivity is proposed to meet multiple, sometime
conflicting objectives. In addition, most efforts to date have focused on the
street network, which may differ from the pedestrian and bicycle network.
The objective of this project is to
develop measures of network connectivity that relate to bicycle and pedestrian
behavior. We intend to develop measures that can be used by researchers
developing empirical evidence linking (or not) connectivity to travel behavior,
and planners who want to develop standards for new and existing development. We
will develop the measures using GIS tools and data from the Portland, OR region
and will evaluate the feasibility of applying the measures to other areas. The
effort involves three steps:
1. Develop measures of network connectivity that reflect
pedestrian and bicycle access. Implement
these measures using the Portland, Oregon network. Measures may include
link-to-node ratio, block length, intersection density, and other measures.
Consideration will be made for measuring differences between the street network
and the bicycle and pedestrian network. This step will also address the issue
of scale, e.g., what size of an area should the measure be applied to?
2. Compare measures of connectivity to pedestrian and
bicycle performance measures, such as route distances and pedestrian route
directness. The project will explore
whether and how topography could be incorporated into the measures of
performance. We will then evaluate the relationship between these measures.
Based upon the analysis, we will make recommendations as to which measures are
most appropriate for use when linking bicycle and pedestrian travel to
connectivity.
3. Evaluate implementation issues, using a nationwide
survey of local jurisdictions. We do
not want to develop a measure that requires information unavailable in most
other jurisdictions. The goal is to have a set of measures that can be used for
research and planning in a wide range of jurisdictions. The cities will be
contacted to determine whether the data necessary to compute the measures of
connectivity is available in a GIS file format now or in the near future. From
this information we will further refine our recommendations for measures to use
in future research and planning.