Park and Ride
Bicycle Lane (Existing or Proposed)
Bicycle Sharrows (Existing or Proposed)
Bike Lanes, Sharrows, Trail and Bike Map Edits (edit here) Weighted - Bicycle Crash Density, 1987-2010 (n=6632)
Rochester Bicycling Map (2014) more information here Traffic Volumes/Truck Percent Trails - Finger Lakes Region Rochester Area Boundaries
Google - Bicycling Layer
Google - Traffic Layer
The red, yellow, and green bicycling condition markers shown on this map are based on rider
estimates as well as estimation tools. These consider pavement width, shoulder width, and traffic volume information. However,
riders must always excercise caution for unexpected behavior by others and take responsibility for their own.
The Bicycling Compatibility Estimates can be toggled on/off by clicking on the 'Hide' and 'Show' links to the right.
This map uses Iconic Labels as well as Dynamic Map Labels as Google Maps Marker Icons. Anyone may add to this Map by right clicking and following directions. All entries may be deleted for one hour.
The Iconic Map Labels as well as the Dynamic Map Labels shown to the right can be toggled using the 'Hide' and 'Show' links to the right. The map labels may
also be hidden and filtered using the functionality within their respective InfoWindows.
These Layers (partial list) May be toggled on and off to the right:
Bike Lanes, Sharrows, Trail and Bike Map Edits - Layer at maps.google.com that can be edited
Bicycle Crash Density, Weighted, 1987-2010 - Weighted Heat Map. Visualization of 6,632 events. Fatalities weighted 10, Injuries 3, Property Damage Only 1. For further information on why this is the best surrogate measure for bicycle demand, please contact Robert Torzynski.
This is Zg's Reporter, a tool intended to report on field conditions and (in this case) estimate bicycling compatibility. It allows
, collaboratively, the general-purpose creation of geographic data sets in KML and geo-referenced HTML format.
Google Maps, including Street View are integrated with an SQL database allowing users to add Markers to the Map,
and link those Markers to Facebook and Twitter streams, to other Markers, and back to the Map. Users can upload photos to
be associated with their Markers. The geocoded information can be exported via the Database button on the toolbar.