Online survey data of public subjective well-being on high occupancy vehicle lane in China.

The data presented in this article are related to the research article entitled "Out-of-home activities, daily travel, and SWB" (Ettema et al., 2010) [1]. The paper provides an online survey questionnaire and data about the public subjective well-being of high occupancy vehicle lanes in China. The survey data are made publicly available to extended analysis.

Specifications table

Value of the data

The questionnaire and survey data of investigation from online survey may be used to design and improve the high occupancy vehicle lanes of the city, and to help to research the carpooling policy of developing countries based on the subjective well-being on high occupancy vehicle lane of different genders or ages.

Data

Table 1 shows the demographics of the 695 survey takers. Table 2 is the online survey data of subjective well-being on high occupancy vehicle lane between different ages. Table 3 is the online survey data of subjective well-being on high occupancy vehicle lane between male and female. Table 4 shows the survey factors and corresponding question numbers in part II of questionnaire. The Appendix A gives the questionnaire used in the study.

Table 1

Demographics of the survey takers.

Feature	Option	N	Rate
Gender	Male	325	46.8%
	Female	370	53.2%
Age	Under 18	25	3.6%
	18–30	445	64.0%
	30–45	210	30.2%
	Over 45	15	2.2%
Travel mode	On foot	105	15.1%
	Bus	235	33.8%
	Subway	90	13.0%
	Private car	75	32.4%
	Others	40	5.8%
Travel purpose	Work	375	54.0%
	Daily shopping	130	18.7%
	Entertainment	75	10.8%
	Pick up children	95	13.7%
	Others	20	2.9%
City scale	First-tier city	155	22.3%
	Second-tier city	275	39.6%
	Others	265	38.1%
Heard or used HOV lane before	Yes	450	64.8%
	No	245	35.3%

Table 2

Online survey data of subjective well-being on high occupancy vehicle lane between different ages.

	Components	Factors	Age options	Mean	Standard deviation
Subjective	Affective factors	Safety	1	1.90	0.285
well-being			2	2.15	0.755
on high			3	2.54	0.646
occupancy			4	1.75	1.090
vehicle lane		Fairness	1	2.10	0.418
			2	2.30	0.649
			3	2.36	0.670
			4	1.67	0.946
		Comfort	1	2.05	0.326
			2	2.22	0.694
			3	2.48	0.632
			4	1.75	0.500
		Enjoyment	1	2.00	0.637
			2	2.01	0.694
			3	2.39	0.816
			4	2.25	0.661
	Instrumental factors	Efficiency	1	1.47	0.381
			2	2.09	0.753
			3	2.57	0.853
			4	1.78	0.387
		Reliability	1	1.80	0.605
			2	2.04	0.701
			3	2.50	0.780
			4	1.67	0.665
		Sizea	1	2.00	0.817
			2	2.15	0.832
			3	2.56	0.832
			4	1.89	0.840

Size refers to the length, number and coverage of high occupancy vehicle lanes in a city.

Table 3

Online survey data of subjective well-being on high occupancy vehicle lane between male and female.

	Components	Factors	Gender	Mean	Standard deviation
Subjective well-being on high occupancy vehicle lane	Affective factors	Safety	Male	2.08	0.694
			Female	2.41	0.750
		Fairness	Male	2.22	0.612
			Female	2.37	0.690
		Comfort	Male	2.07	0.639
			Female	2.47	0.650
		Enjoyment	Male	2.04	0.786
			Female	2.21	0.700
	Instrumental factors	Efficiency	Male	2.13	0.794
			Female	2.27	0.824
		Reliability	Male	2.04	0.706
			Female	2.27	0.780
		Sizea	Male	2.21	0.870
			Female	2.32	0.828

Size refers to the length, number and coverage of high occupancy vehicle lanes in a city.

Table 4

Survey factors and corresponding question numbers in part II of questionnaire.

Survey factors	Safety	Fairness	Comfort	Enjoyment	Efficiency	Reliability	Size
Corresponding question numbers	5	9	17	19	22	28	24, 25

Experimental design, materials and methods

High Occupancy Vehicle (HOV) lane is a special lane that permits only vehicles having at least two persons. An HOV lane is considered as a feasible method for improving transportation efficiency and it has attracted increasing research interest in developing countries such as China. Improved transportation efficiency gained from the HOV lane may also increase the Subjective Well-Being (SWB) of the drivers and passengers. To explore the public's SWB on HOV lanes, a questionnaire investigation from online survey was carried out in this study. Based on the study by Ettema et al. [1], a standard questionnaire was designed, shown in Appendix A. In the present study, we consider affective factors and instrumental factors as the components of SWB on HOV lanes; affective factors include safety, fairness, comfort and enjoyment, and instrumental factors include efficiency, reliability and size. An online survey was carried out on an online questionnaire website (www.sojump.com) between May and October, 2016. Totally 695 valid questionnaires were collected and processed. The demographics of these survey takers are shown in Table 1. The survey data are shown in Table 2, Table 3. The Factors in Table 2, Table 3 refer to Corresponding Question Number defined in Table 4. The values of Mean and Standard Deviation were computed from Part II of the questionnaire based on a scale of 5, with choice 1 = 5, choice 2 = 4, choice 3 = 3, choice 4 = 2, and choice 5 = 1.

Subject area	Psychology, Transport
More specific subject area	Subjective well-being, High occupancy vehicle lane
Type of data	Table
How data was acquired	Survey
Data format	Raw
Experimental factors	Gender, age, travel mode, city size
Experimental features	An online survey was carried out on the online questionnaire website in China between May and October, 2016
Data source location	China
Data accessibility	The data are available with this article