Data collection
Primary and secondary collected that accurately define the hypothesis of that the density of the customer population ofa service centre is high near the service centre but decrease with increasing distance due to the frictional effects of the distance
Primary data collection methods could include conducting surveys or interviews with customers at the service centre to gather data on their proximity to the centre and their usage patterns. This could involve asking customers how far they travel to reach the service centre and how frequently they visit.
Secondary data collection methods could involve gathering data on population density in the surrounding area of the service centre, as well as data on the number of customers served at the centre over a period of time. This could include analyzing demographic data, traffic patterns, and geographic information to determine how customer density changes with distance from the service centre.
By combining primary and secondary data collection methods, researchers can gather comprehensive and accurate data to test the hypothesis that the density of the customer population of the service centre is high near the centre but decreases with increasing distance. This data can then be analyzed to determine if frictional effects of distance are influencing customer density patterns.