定制公交居民出行方式选择的影响因素

doi:10.3976/j.issn.1002-4026.2021.06.013

Abstract

Abstract:

It is crucial for the operation and management of customized shuttle bus to acknowledge the factors influencing chosen rate. This study proposes a mixed model based on both generalized and conditional Logit models. Within the modeling structure, this study develops a utility function with the individual attributes of residents and travel scheme attributes. According to the travel distance and service level of customized shuttle bus, a set of customized shuttle bus, taxi, and public transit bus as options is determined. Based on stated preference data, the model estimation provides the marginal utility of and the distribution probability of the travel mode for different influencing factors. Results suggest that the absolute value of travel price variable coefficients in the utility function of the conventional bus and customized bus-1 are larger, which are 0.195 4 and 0.117 3, respectively,where in customized bus-2 and taxi is smaller, which are 0.156 1 and 0.057 1, respectively. The absolute values of travel time variables in the utility functions of the customized bus-2 and taxi are 0.073 5 and 0.080 7, respectively, where in conventional bus and customized bus-1 are 0.020 4 and 0.015 0, respectively. This implies that the customized bus service should be designed according to the travel price and travel time sensitivity of potential passengers. These results shed light on setting up customized bus operation strategies.

Key words: travel mode choice, customized shuttle bus, utility function, mixed model, marginal utility

CLC Number:

U491.1⁺22

ZHANG Wen-bo, ZUO Yu-fan, WANG Yue-ping, CHEN Jing-xu, LIU Zhi-yuan. Factors influencing residents' travel mode selection considering customized shuttle bus[J].Shandong Science, 2021, 34(6): 97-105.

Figures/Tables 3

Table 1

Table 2

Table 3

References 27

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变量类型	变量符号	变量含义	变量处理
个人基本属性	GEN	性别	GEN=1 男性
	AGE	年龄,分为5个等级,以18岁以下为参考	AGE_1=1 (18,25]
			AGE_2=1 (25,35]
			AGE_3=1 (35,50]
			AGE_4=1 (50, +∞)
	LINC	是否拥有驾驶证,以无驾驶证为参考	LINC=1 有驾驶证
	IND_INC	个人平均月收入,共分为5个等级,以收入(0,3000]为参考,单位为元	IND_INC_1=1 (3000,6000]
			IND_INC_2=1 (6000,10 000]
			IND_INC_3 =1 (10 000,15 000]
			IND_INC_4=1 (15 000, +∞)
	HOU_INC	家庭平均月收入,共5个等级,以收入为(0,5000]为参考,单位为元	HOU_INC_1=1 (5000,10 000]
			HOU_INC_2=1 (10 000,15 000]
			HOU_INC_3=1 (15 000,20 000]
			HOU_INC_4=1 (20 000, +∞)
	CAR_OWN	家庭私家车拥有量,以私家车拥有量为0为参考	CAR_OWN_1=1 拥有1辆私家车
	CAR_OWN	家庭私家车拥有量,以私家车拥有量为0为参考	CAR_OWN _2=1 拥有2辆及以上私家车
变量类型	变量符号	变量含义	变量处理
出行行为属性	PURP	出行目的,以通勤为参考	PURP=0代表出行目的为通勤
出行方案属性	SEAT	是否有座位,以座位不确定为参考	SEAT=1 确定有座位
	TRAN	是否需要换乘,分为3类,以不需要换乘为参考	TRAN_1=1 需换乘1次
	TRAN	是否需要换乘,分为3类,以不需要换乘为参考	TRAN_2=1 需换乘2次
	WAIT_T	上车前的等待时间,以2~5min为参考,单位为 min	WAIT_T_1=1 (5,10]
			WAIT_T_2=1 (10,15]
			WAIT_T_3=1 (15, +∞)
	WALK_D	至乘车点的步行距离,分为5个等级,以步行(0,500]为参考,单位为 m	WALK_D_1=1 步行(500,1000]
	WALK_D	至乘车点的步行距离,分为5个等级,以步行(0,500]为参考,单位为 m	WALK_D_2=1 步行(1000, +∞)
	BIAS	到达时间偏差,分为6个等级,以准时到达为参考	BIAS_1=1 早到2 min
			BIAS_2=1 早到5 min
			BIAS_3=1 早到6 min
			BIAS_4=1 早到8 min
			BIAS_5=1 早到10 min
	FEE	出行花费	连续变量
	TIME	行程时间	连续变量

出行方式	出行费用/元	出行时间/min
常规公交	-0.195 4	-0.020 4
出租车	-0.057 1	-0.080 7
定制公交1	-0.117 3	-0.015 0
定制公交2	-0.156 1	-0.073 5

影响因素	含义	取值
换乘	以不换乘为参考,换乘一次	-0.094 6
到达时间偏差 (以准时到达为参考)	早到2 min	0.167 4
	早到5 min	0.174 8
	早到6 min	0.200 2
	早到8 min	0.515 1
	早到10 min	1.135 4

Factors influencing residents' travel mode selection considering customized shuttle bus

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