Posts Tagged ‘data’

Are You a Metro Data User? Let’s Talk!

July 25th, 2016 No comments

Metro is committed to working with the developer community –  we’ve launched a real-time train position API, are hosting developer coffee chats this Wednesday (7/27) from 4pm to 6pm, created a developer google group, and are seeking submissions for an App Gallery!

If you frequently monitor Metro news, you’ll have already seen some of Metro’s latest developments regarding the commitment to open data and third-party developers. Most notably, Metro last week released a real-time train position API, making it possible to identify the specific locations of trains in the system at a given time.

real_time_map

Screen capture of Metro’s internal real-time train positions map. Now, third-party developers can make their own versions of this using a recently released data feed.

We can’t wait to see what you do with the data. But we know you’ll have questions. That’s why we’re hosting an informal “Coffee Chat” this Wednesday, July 27, at Compass Coffee on F Street (near the Gallery Place-Chinatown station and 70/74/D6 buses). Stop by any time from 4pm to 6pm to say hello, show us something on your computer, or ask us questions!

Two other notable updates, Metro now has created a google group to serve as the intra-developer community forum and will be launching an “App Gallery” to showcase apps available for the Metro system.

2016 Travel Trends Rail Passenger Survey is Underway

April 19th, 2016 No comments

Metrorail riders get excited; the 2016 Travel Trends Rail Passenger Survey is here! If you haven’t noticed all the orange in the stations yet (surveyors in orange Metro bibs handing out orange surveys, offering orange Travel Trends pens to fill them out), keep an eye out! Throughout April and May of 2016, WMATA (Metro) will be conducting the Travel Trends survey on a rolling basis throughout the system, to cover all 91 stations.

The Rail Passenger Survey is an FTA-mandated survey that Metro is required to administer every five years, or at least two years after the launch of new rail service (this year’s survey comes two years after the launch of the Silver Line). The primary use of the survey is to:

  1. Determine jurisdictional transit subsidy allocations.
  2. Improve our service and validate our internal systems.

Here is a video that summarizes the work being conducted and why it’s important:

Your answers to the survey contribute to the data used to support operating and planning activities—it provides us with greater insight into how we can best match service to fit the overall needs of our customers using the system.

Here is a sample of some of the questions we ask in the survey, and what your answers to those questions will be used for: Read more…

Categories: Engage Tags: , , ,

How Do Marylanders Use Metro?

February 2nd, 2016 2 comments

We analyzed Metrorail, Metrobus, and MetroAccess ridership for all Maryland residents in response to the Maryland Legislature’s data and analysis request. Newsflash – we have customers from across the state!

Origins of Maryland Rail Riders

Origins of Maryland Rail Riders

In the 2015 legislative session, the Maryland General Assembly passed the WMATA Utilization Study (HB300),which required the Maryland Department of Transportation (MDOT) and WMATA to analyze the utilization of Metrorail, Metrobus, and MetroAccess every five years. This year’s analysis is based on the most recent Metrorail passenger survey (2012), Metrobus passenger survey (2014), and actual ridership for MetroAccess for an average day in April 2015. Below are some findings that I found most interesting. But more importantly, here is the complete 2015 Maryland HB300 WMATA Utilization Study (native pdf), which includes all the links to the underlying survey data, interactive charts, and analysis.

  • 82 percent of Metrorail trips by Montgomery County residents are destined for Washington DC in the morning on a typical weekday;
  • 71 percent of Metrobus trips in the AM peak period made by Prince George’s County residents are for work purposes on a typical weekday;
  • 3.3 percent of all trips across all Metro services on a typical weekday are taken by Maryland residents from Frederick, Charles, Calvert, Howard, Anne Arundel, and Baltimore Counties and Baltimore City;
  • 35 percent of other Maryland residents on Metrorail access via commuter rail (MARC) and Amtrak; and
  • 17,600 residents of the District and Virginia reverse-commute into Maryland on Metrorail and bus each morning on a typical weekday (about 5 percent of total system ridership)

Any other nuggets that you found from analyzing the data? Ideas for other ways to graphically represent the findings?

Metro to Create First Regional Open Transit Schedule Data Feed

September 14th, 2015 2 comments

Metro is coordinating with other regional agencies to release a single data file that will contain schedule data for all transit operators in the Washington DC Metropolitan Area.

Over 10 years ago, Metro began coordinating with local bus operators and commuter rail agencies to incorporate all of their transit schedules into wmata.com Trip Planner.  It took some time and effort, but eventually Metro reached agreements with all the operators in the region and began to consolidate transit schedules in one online, searchable data source.  In fact, Metro’s Trip Planner is the most comprehensive online data source for regional transit trip planning.  So much so, that when the Transportation Planning Board (TPB) needs to update their four-step travel demand model they request all of the region’s transit schedules from Metro and we deliver them as a General Transit Feed Specification (GTFS) file.

Over two years ago, we posted here a data visualization of that GTFS file developed by STLTransit.  GreaterGreaterWashington subsequently published a post advocating for the public release of this regional GTFS file, arguing that it would fill a big gap in regional online transit trip planning.  There are two primary benefits of Metro releasing this file:

  • Sites and app developers can load one data file for all the region’s transit instead of downloading separate files for each agency.
  • Only some agencies in the region publish their own GTFS files, and releasing this file will make several agencies’ schedule data available online for the first time.

Over the past two years, Metro staff have worked to negotiate the release of this GTFS file.  We were pleased reach out to the other regional operators in July requesting sign-off on a regional data-sharing agreement that would permit Metro to release the other agencies’ data online in this GTFS format.  We are excitedly awaiting executed agreements from the operators, and we’ve received one back already, thanks RideOn!  Once we have received a few more replies, we will begin to publish a regional file including the data of all agencies that have executed the agreement.

In the meantime, feel free to contact your local bus, commuter bus or commuter rail operator and ask that they expedite the signing of this regional transit schedule data sharing agreement.

Categories: Engage Tags: , , , ,

Where Are Those Rail Riders Going?

May 12th, 2015 4 comments

Ever wonder where rail riders are going to and from? Here’s a map that shows you.

“What are the destinations of riders at Station X?”  It’s a question we get often here. Well, using October 2014 rail ridership data by origin and destination, it’s pretty easy to answer that question – click below for an interactive map.

OD Rail Viz preview

Click for a larger, interactive version of Metrorail ridership information by origin and destination station

Data Download: May 2013-2014 Metrorail Ridership by Origin and Destination

August 28th, 2014 22 comments

DataDownloadFuzzyMay 2013 and 2014 Metrorail ridership data is available: what patterns do you see?

Following up on our last data download of rail ridership from May 2012, 2013 and 2014 are now available. These data now represent three “snapshots” in time of rail ridership, at a very fine level of detail.  This data can help answer questions, such as: where is ridership growth the strongest? Which destinations are becoming more or less popular?  How has off-peak vs. peak ridership changed? 

May 2013 Metrorail Ridership by Origin, Destination, TimePeriod, DayOfWeek (.xlsx, 3.3 MB)

May 2014 Metrorail Ridership by Origin, Destination, TimePeriod, DayOfWeek (.xlsx, 3.4 MB)

We invite you to tell us what you see, in the comments.

Technical notes on the data are the same as the last post.  This time, Saturdays and Sundays are shown in the same worksheet as weekdays.

Solving the Region’s Congestion Woes – One Step at a Time (Part 2 of 3)

March 24th, 2014 4 comments

Improving pedestrian connectivity takes cars off the road at a formidable clip – rivaling the power of all of the region’s planned roadway additions and “last mile” transit connections.  Cheaply and quickly. 

This post is part two of a three-part series.

The data is finally in, and we now know that walkable station areas result in fewer motorized trips, fewer miles driven, fewer cars owned, and fewer hours spent traveling. And when we improve the pedestrian and bicycle access and connectivity to Metrorail station areas, ridership goes up, putting a major dent in congestion by taking trips off the roadways. Earlier, we discussed what it means to build walkable station areas and research shows the tremendous benefits to the region of making this a priority.

First, our data confirms that when walking access to transit is improved, transit ridership goes up – way up. In the 2040 Regional Transit System Plan (RTSP), we stress tested TPB’s transportation model to improve walkability to the transit network and saw huge increases in transit linked trips.  These trips go up by about 10% region-wide and we get an increase in transit mode share for all regional trips by 0.5%.  That’s over and above the roughly one percent increase in mode share we anticipate occurring as a result of building the entirety of the CLRP, an impact about half that of constructing all of that transit.

Source: Regional Transit System Plan

Source: Regional Transit System Plan

Read more…

Ridership Increases Expected for Cherry Blossom Festival

February 27th, 2014 2 comments

During the National Cherry Blossom Festival, Metrorail ridership increases on average by 7% on weekdays  and 50% on Saturdays. 

Metrorail ridership is impacted by a variety of factors, from special events to weather to government shutdowns.  One event that brings visitors to the region — and to Metrorail — in droves is the annual National Cherry Blossom Festival.   In anticipation of this year’s festival, we performed some analysis on how, when and where the blossom viewers impacted ridership on the Metrorail system.

In general, Metrorail ridership increases on average by 7% on weekdays and up to 53% on Saturdays during the festival.  On days with nice weather, ridership has increased up to 10% on weekdays and 70% on Saturdays!

As the figure below shows, during the weekdays there is no impact in the morning, a large (21%) increase of activity during the mid day and then a 7% increase thereafter.

Saturdays are another story all together.  Ridership increases up to 63% during mid day and afternoon periods on days during the festival, with a total ridership increase above 50%.  Even morning and “late” night ridership increases significantly during this period.

Cherry-Chart-Weekday-Saturday-w-Chart-2

Metrorail system entries by quarter-hour interval, Regular Weekday, Cherry Blossom Weekday, Regular Saturday and Cherry Blossom Saturday. Click chart for larger version.

 

When looking at change in ridership by station in the maps below, some obvious conclusions can be drawn. Read more…

PlanItMetro at Metro Hack Night

January 23rd, 2014 No comments

I was invited to present a wide variety of data visualizations featured on the blog at a recent meeting of transportation techies.

I had the honor of being invited to present at the 2nd meeting of the Transportation Techies Meetup group, Metro Hack Night on January 2, 2014.  I used this opportunity to illustrate some of the data visualizations I’ve developed using Metro data and talk a bit about the technology behind them.

The first was the the visualization of 9 years worth of rail ridership data.  This visualization was created in D3 (“data driven documents”) using code originally developed by “mbostock” posted on the D3 examples page.  D3 is a javascript library that allows the creation of really powerful and interactive visualizations.  The downside of D3, as I noted, is that the code itself can be confusing and hard to follow.   So much of learning a new coding language is looking at what others have done and learning from it.  D3’s simplified notation makes it really hard for me to follow.  (NOTE: this visualization has recently been updated to include daily Metrorail ridership for all of 2013.)

The second was the visualization of one day of Metrorail station activity.     This video was created using Processing, a Java-based visualization tool that takes care of a lot of the coding “grunt work” and allows a programmer to focus on the data and the visualization.  I really enjoy Java so I took the opportunity this project provided to add a few flourishes such as a clock face and “sunrise” and “sunset.”  Read more…

Categories: Engage Tags: , ,

Transit-Oriented Development around Metrorail Generates Local Tax Revenues

July 9th, 2013 1 comment

Proximity to transit, especially high-quality, frequent, high-capacity rail, increases property values, attracts development and provides mobility choices. Property values are higher near Metro’s high-quality, high-frequency, high-capacity services, and deliver an incremental increase in total tax revenue to the Compact jurisdictions.

  • Property taxes on land around Metrorail stations generate $3.1 billion annually in revenues to the jurisdictions.
  • Of these revenues, $224 million is extra value that would not exist without Metro. This amount is equivalent to providing the following public services.

Regional Benefits - Police Firefighters

Read more…