urban data challenge - christopher a. pangilinan

Urban Data Challenge

02 | 06 | 2013 Swissnex

SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero

Visualizing Transportation Data

Outline

•  System Overview and Challenges •  The Datasets •  Open Government Data •  What Insights Are We Looking For?

2

3

•  SFMTA operates over 3 million service hours annually

•  5 distinct transit modes (bus, trolley, cable car, light rail, historic streetcar)

•  710,000 daily boardings 225 million annually

•  4th highest usage in the nation (passengers per capita)

Muni Overview

Street Level Challenges

Transit First City •  Safe and efficient movement of

people and goods

•  Promote public transit, bicycle and pedestrian travel as attractive alternatives

•  Encourage innovative solutions to meet public transportation needs

Striving for Reliability

6

7

Better Market Street

Central Subway

Van Ness/Geary BRT

Signal Priority TEP

8

Do these policies and projects work?

•  Reliable and faster transit service

•  Reliable: On-time and/or expected headways

•  Reliable: Consistent travel time

•  Faster: Less time to travel

•  Faster: More frequent service at same cost

9

Let’s look at the data for answers Automatic Vehicle Location (AVL) Data •  Time stamp and Lat/long

every 90 sec or 200 m. •  Scheduled and actual data. •  100 percent coverage. Automatic Passenger Counter (APC) Data •  Passenger on/off data. •  “Dwell time” and traffic delay

at stops. •  Scheduled and actual data. •  Covers 30 percent of bus

10

Travel Time Reliability

12

Terminal Departures Performance

Geographically Targeted Supervision

Terminal Departures by Time of Day

Large number of late departures

Early departures after 10 p.m.

General unreliability during Owl hours

15

Ridership

Damn it Jim! I’m a transit

engineer, not a data scientist!

Desired Insights and Visualizations

•  Service – What does the transit map look like by time

of day? – What does ridership look like by time of

day? – Where are people coming from and going

to?

19

Desired Insights and Visualizations

•  Interaction with traffic – Reliability, speed,

delays – Heartbeat of the City:

How does the blood flow by time of day, day of week?

20

Desired Insights and Visualizations

•  Transit Project Benefits

21

Be Creative! But also help answer the key policy and

operational questions

22 http://www.nytimes.com/interactive/2010/04/02/nyregion/taxi-map.html?ref=nyregion

Go Forth and Visualize! Chris Pangilinan @cap_transport

Felipe Robles @fliprobles San Francisco Municipal Transportation Agency