Locating Station of One-Way Carsharing Based on Spatial Demand Characteristics

Table 1

Summary of document on identification of factors affecting demand characteristics.

Item	Category	Literature
Operational mode	RTC	[11–16]
	FFC	[17–22]
	NEM (not explicitly mentioned)	[9, 23, 24]
Basic analysis unit	User (RTC)	[11–13]
	Single station (RTC)	[14]
	Station cluster (NEM)	[23]
	Location (FFC)	[19, 20]
	Land parcel (RTC, FFC, and NEM)	[15–18, 21, 22, 24]
	Vehicle (NEM)	[9]
Data sources of dependent variable	Collected by authors	[14, 15]
	Transaction data or operation log	[9, 11–13, 16–24]
Dependent variable	Usage frequency [RTC and FFC]	[11–13, 16, 19, 21]
	Total vehicle hour travel [RTC]	[12]
	Monthly hours per vehicle [RTC]	[14]
	Vehicle usage rate [RTC and NEM]	[9, 15]
	Booking density [FFC]	[17, 20–22]
	Number of vehicles [NEM]	[24]
	Vehicle unused duration [FFC]	[18]
	Usage hours of station [NEM]	[23]
Method	Descriptive statistics	[11]
	Generalized linear model	[9, 12, 20, 21]
	Multiple linear model	[12, 14–17, 19, 23, 24]
	Dynamic ordered probit model	[13]
	Duration model technique	[18]
	Hot spots by ArcGIS	[22]
Develop individually models for several time periods of the day		[15, 21, 22]