![]() ![]() This cookie is set by GDPR Cookie Consent plugin. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. We are happy to make changes such that you can see and understand the data a little bit better such that you can transform these data into information.Necessary cookies are absolutely essential for the website to function properly. If you like this (or hate it), let us know. It's not all Vancouver for slowness, check out the North Vancouver slow down as well. Check out the bright yellow routes of the number 20 and the 99/9/14/16 corridor.īus Speed: My favorite layer! If you spend a lot of time on the bus and wonder if it is going slow, well now you know. Take a look at the commuter busses, they may have lower service hours but they are dialed for occupancyīoarding Per Hour: This layer shows average boardings per revenue hour. Peak Load Factor: Expressed as percentages, these data show routes that are well or poorly utilized during rush hour. it costs a lot of money to run frequent transit as the layer clearly portrays Service Cost: This is annual total cost, so it is unsurprising that areas with the most transit service show up as the highest values. It's neat to see what is going on in Surrey, for instance. It's cool to note where there are geographies of great high costs per passenger and where there are lower costs. Ride Cost: Blue are cheaper lines to run per passenger and yellow are the most expensive. The works great on desktop computers, but we are having a bit of issue on touch with mobile. Alternatively, a route segment can be clicked on and an individual route can be selected from the popup. A list of routes can be shown using the route buttons, and each route can be clicked on to obtain detailed information in the route summary box. When viewing the interactive map, use the layers button to switch between different service metrics. Where two or more bus routes overlap, we've taken an average of the above variables using average boardings per revenue hour as a weighting factor. The bus routes were colour coded to show blue as the least, green the middle, and yellow the most (cost, or fullness, or speed etc depending on the map). The data in the Service Report was weighted by boardings/revenue hour and then loaded into our online mapping system as Average Cost per Boarded Passenger (given the total cost to run the bus and number of passengers how much does it cost to translink to run this bus per passenger), Annual Service Cost (the total cost of running this bus), Peak Load Factor (how full this bus is during rush hour), Average Boardings Per Revenue Hour, and Avverage Bus Speed layers. Compass Card validators and selective manual counts at West Coast Express stations.automatic passenger counter (APC) units on buses.TransLink sourced the data for the the Service Review from a number of sources including: Boardings on the SeaBus declined by 2.8%.West Coast Express boardings decreased by 3.0%.Expo and Millennium lines grew by 4.1%.System-wide boardings increased 4.5% to a record 384.8 million.Total journeys across the system increased 4.5% to 233 million.Regarding their findings, TransLink highlights that "from 2015 to 2016 ridership across the system continued to grow" and: It's also a nice medium for simply taking a look at how all of the pieces of our transit system fit together. As someone who is curious about transit use and how cities run, I couldn't help myself but create an interactive map of TransLink's (the transit authority in Metro Vancouver) various public reports spurred from their 2016 Transit Service Performance Review (note: when new data is available it will be added to the map and we will do some skookum analysis on it, I promise). The intent of the map is to show the geographic variation of various service metrics and to stimulate discussions with regards to transit planning. Like any other agencies, transit authorities are not incredibly different in their search for improvement through detailed system reviews. Data from the app: Screenshots of various attributes BACKGROUND ![]()
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