Context:

Months back, a student of mine asked me an earnest question - "What do you think makes certain hawker centres work like a morning market or a supper spot?" I gave a fair response then, along the lines of how hawker centres tend to function for the neighbourhood/district it is situated in. This particular topic has been on my mind for quite a while and I always wanted to know if there are more complex factors that determine this time-sensitive function - like the relative proximity of hawker centres are to each other. Perhaps residents in this neighbourhood find more affinity in this market for morning shopping/ breakfasts because the other adjacent hawker centres tend to cater more for the office workers during the afternoon crowd? Even after I've drafted this visualization, I guess the answer still isn't as obvious, but it certainly does help me think deeper about it.

​

Data: 

Points: Hawker Locations (site might include wet market)

> Extracted from data.gov.sg

Voronoi Polygons: Describes Coverage of Hawker Centres

> Generated from QGIS stock Plugin

Values: Peak hours implies the unique function of these hawker centres based on the crowd they cater for

> Queried Popular Times on Google Map Reviews based on Hawker Addresses; 

> Computed the Mode of the Top 10 busiest hours across all 7 days of the week

​

Note: Not all hawkers have popular times, if no data can be extracted, the polygon will be shaded.