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Wednesday, 6 July 2022

[New post] On bike counts – Part 1

Site logo image d0ctrine posted: "Bike counts are being conducted this June and July in many cities around the country to mainly determine the number of cyclists in various locations in the participating cities and if there was an increase in the numbers. An increase will be encouraging a" Caught (up) in traffic

On bike counts – Part 1

d0ctrine

Jul 6

Bike counts are being conducted this June and July in many cities around the country to mainly determine the number of cyclists in various locations in the participating cities and if there was an increase in the numbers. An increase will be encouraging and should support the upgrading and expansion of the bike lanes network established during this pandemic (we are not yet in the post-Covid-19 age).

The following Images are from the Mobility Awards Facebook Page where you can find the rationale for these surveys. Vehicle or pedestrian counts are perhaps the most basic type of surveys and are conducted over certain periods of time to establish variability as well as seasonality. In the case of most if not all the counts mentioned below, surveys were and are to be conducted during the perceived peak periods for bike traffic: 6:00 to 8:00 AM and 4:00 to 6:00 PM.

Counts like these need to be evaluated or analyzed considering various contexts. While the outcomes of such counts are often presented from the point of view of advocates and there is a tendency to play with the numbers (which I will explain in more detail in succeeding posts), the bigger picture relating bike numbers to other modes of transport would be among the most important. Trip purpose is another essential factor to be considered. And there is also data on the origin-destination characteristics of trips. Historical or time series data is also important if trends are to be established.

By itself, these bicycle counts are very important data that will ultimately be useful for planning, design and construction of facilities for active transport. The lack of data on bicycles while there is a bias for motor vehicle data means we cannot see the complete picture and therefore remain car-centric when dealing with transportation issues.

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