These captions show that across seasons the pattern of pedestrian traffic stays the same: with peaks during weekdays and lows during weekend.
Data:
One of interesting learnings from researching this topic is about data acquisition, and namely, looking for non-traditional sources of data, such as community organizations, namely business improvement districts. Business improvement districts use services of private companies to conduct pedestrian counts and many of them publish data (with different degrees of details). Such data could be used with the same level of accuracy as official city government open data and since business improvement districts are public-private entities, data from them could be easier to acquire than from private companies.
For construction sites, data was downloaded as Building Permits dataset from NYC Open Data portal. For pedestrian traffic, pedestrian count data published by Grand Central Partnership on their website was used for a period of January to October 2016.
Data processing needs: for the purpose of analysis, the author needed to identify available data for common geographic areas (streets) between Building Permits data and Pedestrian Count data which then can be compared within a specific timeframe. The distance of influence was taken as one block.