Local Spatial Analysis of the Crash Frequency of Food Delivery Motorcyclists vs. Nondelivery Motorcyclists in relation to Points of Interest

Table 1

Summary of statistics for variables for each village.

Variables			Expected association with traffic crashes	Mean	Min	Median	Max	Std dev	Total
Dependent variables		OFDS crash frequency on weekdays	n/a	3.662	0	3	26	3.680	1670
		OFDS crash frequency on weekends	n/a	1.412	0	1	13	1.706	644
		Nondelivery crash frequency on weekdays	n/a	112.41	2	89.5	840	91.452	51263
		Nondelivery crash frequency on weekends	n/a	29.675	0	25	156	22.523	13532
Independent variables	Points of interest	Restaurants (count)	+	29.206	0	21	387	31.042	13318
		Supermarkets (count)	+	0.511	0	0	5	0.725	233
		Schools (count)	+	0.605	0	0	6	0.812	276
		Universities (count)	+	0.057	0	0	2	0.250	26
		Shopping malls (count)	+	0.066	0	0	2	0.273	54
		Hotels (count)	−	0.044	0	0	5	0.321	20
		Hospitals (count)	+	0.070	0	0	3	0.288	32
	Traffic conditions	Bus stops (count)	+	0.375	0	0	12	0.977	171
		Log vehicle density per day (1000 vehicles/day)	−	2.119	2.042	2.111	2.354	0.437	966.299
	Road geometry	Log count of intersections	+	2.106	0.792	2.115	3.631	0.549	1028.19
		Log road lengths (1000 m)	+	2.188	1.878	2.184	2.411	0.073	997.954
	Census data	Log population density	+	1.672	1.192	1.732	1.950	0.328	740.281

n/a: not applicable. OFDS: online food delivery service. Std dev: standard deviation.