BIG data analytics to promote cycling during COVID-19 & beyond

The Coronavirus (COVID-19) and lockdown measures have made colossal difficulties for urban vehicle. In any case, they likewise give a chance to urban communities to reexamine the eventual fate of portability. Cycling, specifically, is getting a charge out of restored consideration. This isn't unexpected, as biking offers numerous favorable circumstances that make it an appealing type of urban vehicle both during and after the pandemic: bikes can facilitate the weight on open travel frameworks, consider simple social removing, add to better general wellbeing, and decrease air contamination.

However we have far to go before cycling can turn into a standard vehicle alternative for urban areas. Mechanized vehicle is frequently the default—and most people are worried that traffic will return right once the infection dies down.

One significant obstruction is framework, or its deficiency. Indeed, even in urban areas that have effectively advanced cycling, for example, Rome, Paris, or Bogotá, cycling systems are frequently divided, compelling cyclists to utilize occupied and perilous streets. Over the previous decade, Bogotá has built 500 km of bicycle ways, privately known as ciclorrutas. These have added to a major increment in day by day cycling trips, from 421,000 out of 2011 to 635,000 of every 2015. Notwithstanding this venture, holes in the system and upkeep issues keep on influencing the ways' utilization and occupants' general portability.

In case we're serious about tackling the maximum capacity of cycling, it's important that urban areas address these issues and associate disconnected bicycle paths into strong, easy to understand systems. In any case, where do we start? With restricted financial assets, which parts of your city would it be advisable for you to concentrate on to grow biking foundation? How might you guarantee cycling ventures advantage the most noteworthy number of individuals?

To respond to these inquiries, urban organizers customarily depend on the web or family unit studies. Be that as it may, these are moderate and costly, frequently taking months or years from starting information assortment to the arranging stage. Ongoing advances in computerized innovation, be that as it may, are making better approaches to gather and examine information. Bits of knowledge from anonymized cell phone information are especially encouraging.

The researchers together with the Secretaria de Movilidad de Bogotá and UC Berkeley, have highlighted Bogotá as a case study to show how mobile phone data can improve our understanding of mobility patterns and inform the planning of new infrastructure. We first tapped into data from a local fitness app called Biko to analyze how cyclists move around Colombia’s capital and identify the biggest gaps in the ciclorrutas. This clearly demonstrates that potential demand for cycling in the city is much higher than the 635,000 average trips in 2015.

Taking this as reference point we can definitely promote use of cycle by creating optimized route and path for its unhindered use.