Archives for posts with tag: downtown

The following is a quick series of diagrams showing linking options for multiple transit networks.   For example, using the a hybrid of ramps to stairs to connect the rail line to the surface road.  Some examples emphasize the literal physical link between various travel networks, others begin to address the need for shelter at these links, but they all try to begin a common visual language in response to the various typologies of physical intersections so they can work together as a larger image throughout the city.


building_surface road_tunnel


highway _ surface road


railway_surface road


surface road_tunnel


railway_surface road_tunnel


highway_surface road_tunnel

While my project will focus more on what is indicated in orange  as the approximate area of the interchange, there will be a secondary component of the thesis at a larger urban scale. This component will begin to illustrate the beginnings of an emergent system of networks.  For this portion, I plan to use the abandoned subway tunnel [seen as red dotted line] as a distribution spine from the transit interchange.

I have been experimenting with Grasshopper to help demonstrate some distance mappings of possible routes to and from random points.  My second attempt to use the GH component “Shortest Walk” yielded some helpful results.  The idea is to visualize the existing subway tunnel as a spine that extends eastward from the interchange and towards Rochester’s downtown.  I used a measurement of 1/2 mile as the walking tolerance so see all the possible routes one would take from the tunnel path outward.  This GH definition is a simplified version of what may come in the near future.  I intend to incorporate other disruptions or attractions within the city’s downtown to model the more complex nuances of movement.

Screen shot | green = tunnel, red = suggested route, yellow = line connecting start and end points, red “x” = traveler, grey “x” = all possible intersection points [destinations] within 1/2 mile radius along tunnel

Grasshopper definition

The US Census Bureau’s website is a labyrinth of useful data and is unnecessarily difficult to navigate.  Fortunately for us, NYTimes decided to help us out by visualizing the mystery information from the American Community Survey.  They’ve translated data into easily comprehensible maps and diagrams like many of their past data representations.  Take a look here and have fun exploring:

Here is a closer look at Rochester [click on the image to enlarge]:

Racial distribution | racially segregated [blue dots=black; green dots=white]

Income distribution | the lighter the blue, the lower the income

Change in Median Income | the darker the blue, the higher the decline

I found some information on the commuters of Monroe County [where Rochester is located].  Not surprisingly, the majority of commuters work commute 10-25 minutes away from home and most drive alone.  This is not a unique condition, but is prevalent all over this country.  Are there ways to shift that large number of drivers towards some other alternate modes of transport?  Could we alter the image and experience of these alternatives?  One place to start is to imagine a series of multi-nodal interchanges where various modes of transportation meet and become a point of intense intersections.  These could then connect and link to other smaller distribution and so on.  These points could also become attractors for the less occupied downtown and perhaps could one day become one of vibrancy.



information based on data from the US Census Bureau