网约拼车服务选择偏好分析及建模

doi:10.13229/j.cnki.jdxbgxb20200831

Abstract

Abstract:

To analyze the users' preference for ridesplitting and the characteristics of changes in the size of ridesplitting under different pricing environments， this paper adopts the Revealed Preference and Stated Preference （RP+SP） questionnaire method to investigate the behavior preferences of Shanghai residents in different environments， such as changing discount rates of ridesplitting service， the growth rate of ride-sourcing fees and the cost of parking. The nested logit model is used to calibrate the influence of socio-economic attributes and pricing factors on user choice behavior. Research shows that females with a monthly income of CNY 5000 to 9999 and the age between 26 and 40 are more inclined to choose ridesplitting. Through numerical analysis， this paper simulates the trend of ridesplitting market size under the changes in ridesplitting discount， ridesourcing fees and parking charge. The analysis shows that the size of the ridesplitting market increase by 1.03%， 0.48%， and 0.16% respectively under the unit change in ridesplitting discount， increased ridesourcing service fees and changes in parking fees. The results show that respondents are more sensitive to ridesplitting discounts.

Key words: engineering of communication and transportation system, ridesplitting, choice preference, nested Logit model

CLC Number:

U121

Xing-hua LI,Fei-yu FENG,Cheng CHENG,Wei WANG,Peng-cheng TANG. Choice preference analysis and modeling of ridesplitting service[J].Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 578-584.

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References 13

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出行距离/km	出行目的	出行时段	网约车定价	拼车折扣/%	停车收费/元
5	通勤	晚高峰	正常收费	0.75	20
10	通勤	早高峰	涨价收费	0.75	30
10	通勤	晚高峰	折扣收费	0.55	10
20	通勤	早高峰	正常收费	0.55	20
5	休闲	平峰	涨价收费	0.55	10
5	休闲	晚高峰	正常收费	0.65	30
20	休闲	早高峰	正常收费	0.65	10
20	休闲	平峰	折扣收费	0.75	20
5	商务	早高峰	折扣收费	0.65	20
10	商务	平峰	涨价收费	0.75	10
10	商务	平峰	折扣收费	0.55	30
20	商务	晚高峰	涨价收费	0.65	30

变量	描述	样本量	比例/%
性别	男	505	60.3
性别	女	333	39.7
年龄	18~25岁	170	20.3
	26~35岁	396	47.3
	35~40岁	97	11.5
	40岁以上	175	20.9
学历水平	高中及以下	78	9.2
	大专（生）	134	16.1
	本科（生）	536	64
	研究生及以上	90	10.7
月收入	5000元以下	176	21
	5000~9999元	361	43.1
	10 000~12 499元	135	16.2
	12 500元及以上	166	19.7
车辆保有量	无	242	28.8
	1辆	513	61.2
	2辆及以上小汽车	83	10
网约车使用频率	很少使用（每月0~1次）	255	30.4
	偶尔使用（每月2~3次）	296	35.4
	较常使用（至少每周1次）	287	34.2

变量类型	变量名称	变量定义
行程费用	Fare	给定情景下，交通方式的费用
行程时间	Time	给定情景下，交通方式的时间
出行距离	D1（参照）	5 km=1；否则=0
	D2	10 km=1；否则=0
	D3	20 km=1；否则=0
出行目的	P1（参照）	通勤=1；否则=0
	P2	休闲=1；否则=0
	P3	商务=1；否则=0
出行时段	S1（参照）	平峰=1；否则=0
	S2	早高峰=1；否则=0
	S3	晚高峰=1；否则=0
性别	G（参照）	男=1；女=0
年龄	A1	18~25岁=1；否则=0
	A2	26~35岁=1；否则=0
	A3	36~40岁=1；否则=0
	A4（参照）	40岁以上=1；否则=0
月收入	I1	5000元以下=1；否则=0
	I2	5000~9999元=1；否则=0
	I3	10 000~12 499元=1；否则=0
	I4（参照）	12 500元以上=1；否则=0
车辆保有量	C1（参照）	无车=1；否则=0
	C2	1辆车=1；否则=0
	C3	2辆车=1；否则=0
网约车使用频率	F1（参照）	很少使用=1；否则=0
	F2	偶尔使用=1；否则=0
	F3	较常使用=1；否则=0

建模变量		公交车	地铁	小汽车
出行距离/km	5（参照）
	10	-0.398	0.369**	0.631***
	20	0.767	1.236**	1.903***
出行时段	通勤（参照）
	休闲娱乐	-0.188	-0.138	-0.234**
	商务出差	-1.304***	-0.853***	-3.389***
出行目的	平峰（参照）
	早高峰	-0.399**	-0.829***	-0.084
	晚高峰	-1.098***	-0.522***	-0.027

建模变量		交通方式
建模变量		公交车	地铁	小汽车	出租车	网约拼车
行程费用		-0.056***	-0.056***	-0.056***	-0.056***	-0.056***
行程时间		-0.036**	-0.036**	-0.036**	-0.036**	-0.036**
性别		0.115	0.066	0.099	-0.291***	-0.123*
年龄	18~25岁	-0.144	0.033	0.094	0.255*	0.239*
	26~35岁	-0.133	-0.138**	0.183*	0.041	0.310***
	36~40岁	0.065	-0.304***	0.045	0.095	0.400***
	40岁以上（参照）
月收入	5000元以内	1.408***	0.077	-0.143	-0.304**	0.210
	5000~9999元	0.506***	0.048	-0.317***	0.156	0.611***
	10 000~12 499元	0.229	-0.015	-0.292***	-0.211	0.222**
	12 500元以（参照）
车辆保有量	无车（参照）
	1辆车	-0.236	-0.330***	0.663***	-0.031	-0.146*
	2辆车	-0.296***	-0.653***	0.938***	-0.043	-0.450***
网约车使用频率	很少使用（参照）
	偶尔使用	-1.130***	-0.880***	-0.555***	-0.994***	-0.127
	较常使用	-2.077***	-1.604***	-1.125***	-1.186***	-0.18
	截距	1.382**	2.515***	0.759***	0.572***	-0.512***

Choice preference analysis and modeling of ridesplitting service

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