NYC DOT

Cycling Infrastructure Scenario Planning in NYC

Project Goals

This is the project for MUSA practium, in year 2021.
The goal of the project is to predict the impacts of new bike lanes on bike ridership.
Predicting the impact of a new bikelane on a particular street would help our client, NYC DOT, and other users prioritize streets for cycling infrastructure investments.

Page Instructions

Let's Visualize

The choice of ridership is set as "checked" as default. By clicking the button, we are able to visualize the CitiBike ridership over our study area.
Similarly, clicking the buttons for bike lanes and bike stations enables us to see the bike lanes and CitiBike stations throughout the study area.
Clicking on each road segment, we are able to see the count of bike trips from our data, representing an total monthly count for August 2020 for a subset of CitiBike trips.

Scenarios

There are three different scenarios. Moreover, under each scenarios, choosing "Protected Bike Lanes" visualizes predicted changes of bike trips from changing the roads to proteced bike lanes; alternatively, clicking "Unproteced Bike Lanes" visualizes predicted changes of bike trips from changing the roads to unprotected bike lanes.
There is only one choice, "Protected Bike Lanes", under the Upper Manhattan scenario because around half of bike lanes under this scenario are already unprotected bike lanes. Therefore, only predictions of Protected Bike Lanes are provided.
Clicking on each road segment, we are able to see the observed bike trips and the predicted biketrips.

Let's Visualize:

Bike Lanes

CitiBike Stations

CitiBike Ridership

Scenarios

Central Part Transverses

Protected Bike Lanes

Unprotected Bike Lanes

Upper Manhattan

Protected Bike Lanes

Brooklyn

Protected Bike Lanes

Unprotected Bike Lanes

GitHub Repo

Bike Trip Count

August 2020

less than 10

less than 30

less than 70

less than 130

less than 250

less than 350

Over 350

% Difference

less than -50%

less than -10%

less than 0 %

less than 5%

less than 10%

less than 30%

less than 50%

less than 100%

less than 200%

less than 300%

less than 500%

Over 500%