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Cycling infrastructure

As explained in The Well-Grounded Data Analyst

Cycling infrastructure comprises physical facilities and design features that support bicycle travel, such as cycle lanes, paths, and crossings.

Cycling infrastructure is evaluated through cycling traffic: the practical goal is to identify places where upgrades could support substantial existing or increasing bicycle use. section 8.2.1 section 9.1.1

A results-oriented analysis proceeds by:

  • Clarifying what makes a location suitable: high current traffic, strong growth, or forecast future demand. section 8.3
  • Comparing cycling traffic over time and across areas with time-series methods. section 8.3
  • Using granular raw counts from individual counting locations rather than high-level summaries or estimated flows. section 8.2.1 section 9.1.1

Bikes4Britain

A United Kingdom government initiative uses Department for Transport road traffic statistics to recommend locations for cycling infrastructure improvements. The raw counts can be aggregated when area-level or annual comparisons are needed. section 8.2.1 section 9.1.1

How The Well-Grounded Data Analyst covers it

How deep it goes
Develops problem framing, dataset choice, and time-series questions, while deferring the actual analysis to a later stage.
Examples
Uses the Bikes4Britain initiative, Department for Transport statistics, and vehicle counts from individual locations.
What you can do after
Evaluate cycling traffic patterns and recommend locations with substantial or increasing traffic for infrastructure upgrades.
How it connects
Connects cycling infrastructure with time-series data, road traffic data, raw count data, and forecasting.
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