The links below will take you to a full-page application, centered on the project's study area. Choose a combination of layers from any or all of the categories on the lefthand side and optionally change the opacity of each category using the sliders in bottom tabs
Sometimes things go wrong (e.g. the map servers get shut down, the code is broken, a firewall prevents the layers from loading, etc.) Also, sometimes everything is working but it takes a long time to generate tiles for a big dataset or complicated geometry. If you're having trouble viewing the maps or certain layers on a regular basis, shoot me an email
Accessibility is one of the most important features of urban areas. Depending on the destination of interest, greater levels of "access" mean that jobs, households, and amenities can be reached quicker and easier from a particular destination. Access is often measured by the total number of destinations that can be reached within a given timeframe. The best measures, however, also include a distance-decay weighting scheme so that nearby destinations gain greater importance than further ones. These maps use the excellent pandana network analysis library to help identify Maryland's most accessible places.
There is no question that when/if the Purple Line is built, it will have a measurable impact on Maryland's suburbs. Using the statewide transportation model and GTFS data, these maps show how commute sheds (the maximum distance a person could travel from each station in 30, 45 and 60 minute windows) from each of the proposed PL stations will be augmented once the line is operational. When you add additional context like employment and housing, a comparison between the before/after commute sheds begins to show how the Purple Line may impact the region
Opportunity Mapping is an attempt to quantify the spatial assets that help neighbrhoods and the people who live in them thrive. But opportunity is a slippery concept, and can often have many defitions. My dissertation work is focused on building models of spatial indicators that contribute to economic success (but that's only one type of opportunity!). These maps were developed as part of our work for Baltimore's "Regional Plan for Sustainable Development" that was supported by a HUD SCI grant. For more information, also see the Opportunity Mapping section of the Projects page.
Through our ongoing work with the Maryland Department of Transportation, we've been looking at how to define placetypes in the Baltimore-Washington region. Choosing the right combination of metrics and measurements is no easy feat, and is, in many ways, more art than science. We use this map to exchange information about characteristics with our administrative partners at MDOT and elsewhere.