If you are great with data and love cities and transit, we have a job for you.
We were excited to announce that a job listing for a Business Intelligence Analyst position within Planning’s Applied Planning Intelligence unit has just been posted. We are looking for a healthy overlap between a data scientist and a transit nerd. For the full job description, head over to the wmata.com/careers site, scroll down and click on View all jobs. A short description is posted below.
Currently a team of two, we work to convert Metro’s many data sources into information that can be used to inform plans, policies and procedures. Many of our projects have been featured here on PlanItMetro, including:
Metro’s commitment to developers was well received following our informal “Coffee Chat” event designed to foster connections between and among Metro and the developer community.
Wednesday, Metro set aside some time for Developer Coffee Chats to enable dialogue between Metro’s API users and other developers. The informal event proved successful, with numerous developers taking advantage of the resources available to them (provided both by Metro and by their developer peers). Although several topics were discussed, the clear focal point was Metro’s Real-Time Train Position API, released last week through the General Manager’s CARe Initiative.
Metro staff members engaged in various dialogues with third-party developers
At the event, several developers spoke with Metro’s API team to seek guidance regarding the technical backend of their apps and others simply showed Metro their work for feedback and suggestions for implementing new features. One attendee commented on the quality of Metro’s API documentation, crediting the documentation with enabling him to move from building local-apps and scripts to building a full-fledged Metro app using the APIs.Read more…
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!
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!
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:
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…
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
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 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.
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.
May 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?
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.
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.
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.
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…