Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China

Table 2

Site type.

Station types	Station characteristics	Representative site
Residential-concentrated type	High flow of passengers entering the station in the morning peak and leaving the station in the evening peak during working days	Baiguolin
Office-concentrated type	High volume of outbound passengers in the morning peak and inbound passengers in the evening peak during working days	Gaoxin station
Residence dominated residential-office type	Two peak (the morning peak and evening peak), with the morning peak inbound traffic being larger than the evening peak inbound traffic and the opposite outbound traffic	North renmin road
Office dominated office- residential type	Two peaks (the morning peak and the evening peak); the morning peak outbound passenger flow is greater than the evening peak outbound passenger flow, while the inbound passenger flow is the opposite	Jinjiang hotel
Commercial-concentrated type	Include stations with scenic spots nearby. The flow of passengers is high throughout the day, and there is no obvious morning and evening peak traffic; on weekends and holidays, there are small peaks of traffic with a high degree of volatility	Chunxi road
Hub type	Includes stations with nearby railroad stations, passenger distribution points, etc., and stations at the intersection of urban rail lines	Chengdu east passenger station
	No obvious pattern; the flow of passengers than other sites has always been larger; similar to the commercial concentration type, this type of site is not obvious with small peaks of passenger traffic, and generally larger passenger flow
Other types	No obvious traffic pattern can be found, and the outbound traffic is not large	—