Suppose I have data set where the residential location of 100 people (longitude, lattitude) and 10 shops (4 mobile shops and 6 fixed shops) are avaliable. Fixed shops are open 30 days a month, but mobile shops are open for an unequal length of time per month (i.e. some open 7 days a month, some 15 days a month). I calculated distances from each residential location to the location of all shops. My aim is to evaluate the association between distance travel and the use of shop services. Mobile shops are not open every day (i.e. temporary). How do I adjust this temporal nature of mobile shops during regression analysis? Would it be possible to adjust this by using weighting factor i.e. the percentage of days mobile service available in a month?
Do anyone have any thoughts on it? Thanks in advance.