1

I.
II.
Objectives and Methodology
Detailed Findings
Commuters Who Use the HOV Lanes
Perceptions of HOV
Reasons for Not Using the HOV Lanes
Ridesharing
Transportation and Commuting Issues
Response to Information about HOV Lanes
III.
Conclusions and Implications
2

3

Objectives
• Assess awareness of HOV lanes
• Determine level of support and usage of HOV lanes
• Assess perceptions and imagery of HOV lanes
• Assess perceived benefits and importance of benefits of the lanes
• Better understand HOV usage by comparing current users to commuters who could use the HOV lanes but do not
• Assess perceptions of lane enforcement
• Identify barriers to usage and ways that these barriers can be overcome
4

Methodology
•
A telephone survey was conducted among commuters in Northern Virginia who travel on the Dulles Toll Road, I-95, I-395 or I-66
•
Some respondents currently use the HOV lanes, and some do not use the HOV lanes but could
•
Non-users had to travel a sufficient distance for HOV lanes to be beneficial.
Commuters on I-95 and I-395 had to travel for at least 30 minutes to qualify.
Commuters on DTR and I-66 had to travel for at least 20 minutes
• For non users, HOV lanes had to be conveniently accessible to them
• In addition, all respondents had to:
– Be aged 18 - 65
– Commute at least 3 days a week during morning “rush” hour on DTR, I-95, I-395 or I-66
5

Methodology
•
1,800 interviews were targeted for completion. These interviews were to include
200 HOV users on each of the corridors: DTR, I-95, I-395 and I-66. The sample was also designed to include non HOV users: 200 each on I-95 and I-395 and
400 each on DTR and I-66.
• 1,817 interviews were completed, distributed as follows:
Total
Use Non
HOV User
677 1,140
DTR
Use Non
I-95
Use Non
HOV User HOV User
174 478 219 291
I-395
Use Non
I-66
Use Non
HOV User HOV User
223 237 301 536
• The typical morning commute for some commuters involves more than one of these corridors. Thus, some respondents are represented more than once in these categories.
6

7

8

Mode of Transportation Used Most Often
Drive alone
Pre-arranged carpool with 1 other
Pre-arranged carpool with 2 or more others
Bus
Slug
Vanpool
DTR
%
73
12
8
6
1
<1
I-95
%
57
7
13
4
13
6
I-395
%
50
8
15
7
15
5
I-66
%
63
21
10
4
<1
1
Data from Q8: Which of the following transportation modes do you use most often when commuting on
(DTR/I-95/I-395/I-66)?
9

10 minutes or less
11 - 20 minutes
21 - 30 minutes
31 - 40 minutes
41 - 50 minutes
51 – 60 minutes
Over 60 minutes
Average
Total
%
1
7
17
17
23
18
16
49 minutes
Use HOV
%
2
7
16
19
22
18
15
48 minutes
Non HOV
%
1
7
18
16
24
17
16
49 minutes
Data from Q12: On average, how many minutes does it take to travel from your home to (DESTINATION),
10 one-way?

Average Length of Trip in Minutes
-- By Corridor --
10 minutes or less
11 – 20 minutes
21
– 30 minutes
31
– 40 minutes
41 – 50 minutes
51 – 60 minutes
Over 60 minutes
Average
14
21
23
18
Use
HOV
%
3
DTR
Non
HOV
%
1
8 7
20
21
23
16
Use
HOV
%
1
I-95
Non
HOV
%
2
3
11
16
21
24
4
8
14
25
18
Use
HOV
%
1
I-395
Non
HOV
%
1
6
14
18
22
17
4
14
11
31
17
Use
HOV
%
1
I-66
Non
HOV
%
2
7
17
20
23
17
7
18
13
24
18
12 11 23 26 20 21 13 17
45 min 46 min 54 min 57 min 50 min 53 min 46 min 50 min
Data from Q12: On average, how many minutes does it take to travel from your home to (DESTINATION), one-way?

1 - 10 miles
11 - 20 miles
21 - 30 miles
31 - 40 miles
41 - 50 miles
51 - 60 miles
Over 60 miles
Don’t know
Average
Total
%
9
32
29
12
6
3
2
7
26 miles
Data from Q13: About how many miles is that?
Use HOV
%
9
25
30
13
8
5
3
8
28 miles
Non HOV
%
9
11
5
36
29
2
1
6
24 miles
12

1 – 10 miles
11 – 20 miles
21
– 30 miles
31 – 40 miles
41 – 50 miles
51
– 60 miles
Over 60 miles
Don’t know
Average Length of Trip in Miles
-- By Corridor --
DTR I-95 I-395
Use
HOV
%
9
Non
HOV
%
10
Use
HOV
%
5
Non
HOV
%
4
Use
HOV
%
8
Non
HOV
%
10
Use
HOV
%
9
I-66
Non
HOV
%
9
20 34 12 27 23 33 30 37
37
17
5
2
1
9
32
10
5
2
1
6
29
13
16
13
7
5
27
15
9
6
4
10
28
9
10
9
6
7
29
12
5
3
3
5
34
13
4
1
1
9
29
11
4
2
2
7
Average 27 miles 24 miles 37 miles 31 miles 32 miles 25 miles 25 miles 24 miles
Data from Q13: About how many miles is that?

Average Miles and Minutes for Commute
Miles
< 15 miles
15
– 19 miles
20 – 25 miles
26 – 35 miles
Over 35 miles
Use HOV
27 min
36 min
45 min
51 min
68 min
Minutes
Non HOV
32 min
41 min
48 min
60 min
72 min
14

Miles
< 15 miles
15
– 19 miles
20 – 25 miles
26 – 35 miles
Over 35 miles
Average Miles and Minutes for Commute
-- By Corridor --
Use
HOV
DTR
Non
HOV
% %
Minutes
Use
HOV
I-95
Non
HOV
Use
HOV
I-395
Non
HOV
% % % %
Use
HOV
I-66
Non
HOV
% %
18
32
48
52
59
31
38
45
56
70
28
39
42
48
68
30
43
52
60
76
31
36
43
47
71
36
47
50
63
73
29
36
46
54
70
30
41
50
65
71
15

Employment Status
42%
Private industry
64%
Federal gov't.
13%
35%
Self-employed
State or local gov't.
Military
Student
5%
8%
4%
6%
2%
6%
2%
3%
Not employed
Other
2%
1%
4%
2%
0% 20% 40% 60%
Data from Q39: Do you work for … ?
44% of I-95 HOV users and
48% of I-395 HOV users work for the federal government
80%
HOV
Non HOV
100%
16

Alternative Transportation Support Offered by Employer
46%
Fare sub./ MetroChek
18%
Free/sub. parking for car/vanpools
Car/vanpool assistance
11%
7%
13%
24%
Free/sub. parking for all 35%
47%
None of these programs
27%
38%
0% 20% 40% 60%
Data from Q40: Which of the following does your employer offer?
80%
HOV
Non HOV
100%
17

Age
18 - 24
5%
8%
Mean age of HOV = 42
Mean age of non HOV = 40
25 - 34
24%
25%
35 - 44
45 - 54
30%
33%
23%
27%
55 - 65
0%
14%
11%
20% 40% 60% 80%
Data from Q41: Which of the following best describes your current age?
HOV
Non HOV
100%
18

Race or Ethnicity
White, non-Hispanic
African-American
Hispanic
Asian
Native American
1%
1%
Other
3%
4%
0%
12%
10%
6%
7%
6%
5%
20%
72%
73%
40% 60% 80%
Data from Q42: Which of the following best describes your race or ethnicity?
HOV
Non HOV
100%
19

Length of Time Lived in Area
1 year
2 years
7%
6%
9%
7%
Mean years in area:
HOV = 13
Non HOV = 15
3 - 5 years
6 - 10 years
11 - 15 years
19%
16%
20%
18%
15%
16%
More than 15 years
30%
36%
40% 0% 20% 60%
Data from Q43: How many years have you lived in your area?
80%
HOV
Non HOV
100%
20

Annual Household Income
Under $25,000
1%
2%
$25,000 - $49,999
$50,000 - $74,999
$75,000 - $99,999
$100,000 - $124,999
13%
15%
14%
15%
21%
21%
18%
22%
Mean:
HOV = $97,000
Non HOV = $94,000
HOV
Non HOV
$125,000 or more
29%
30%
0% 20% 40% 60% 80% 100%
Data from Q44: Is your current annual household income above or below $50,000? If “over,” ask: Is it $125,000 or more,
$100,000 -$124,999, $75,000-$99,999, $50,000-
$74,999? If “below,” ask: Is it … $35,000-$49,999, $25,000-$34,999,
$15,000-$25,999, $5,000-$14,999, under $5,000?

Gender
Male
53%
56%
HOV
Non HOV
Female
47%
44%
0% 20% 40% 60%
Data from Q46: Specify gender. (DO NOT ASK.)
80% 100%
22

Takes less time / faster
Have enough passengers to use
HOV lanes
Costs less
Less traffic / congestion
Due to heavy traffic
Don’t have to drive / someone else drives
Total
%
59
13
7
5
11
11
DTR
%
52
20
1
6
9
10
I-95
%
59
8
13
12
11
5
I-395
%
62
6
15
11
10
5
Data from Q17: You indicated that you do use the HOV lanes on your regular commute. Why have you decided to use a transportation option that allows you to use the HOV lanes?
23
I-66
%
62
18
5
6
9
10

24

Agreement with Statements about HOV Lanes
Agree som ew hat Agree st rongly
Get t o dest inat ion f ast er
Ridesharing low ers t rans. cost s
Support having HOV lanes
HOV m oves m ore people in f ew er vehicles
Even if can' t use, HOV relieves t raf . congest ion
HOV im proves air qualit y
HOV relieves t raf f ic congest ion
Violat ors should have point s charged
Penalt ies should be m ore severe
HOV lanes are saf er t han regular lanes
A re enough park-n-ride lot s
Tim e savings not suf f icient t o just if y use of HOV
HOV doesn' t w ork because not enf orced
If gas price goes up, w ill t ry alt . t rans.
HOV lanes don' t w ork
29%
33%
23%
28%
37%
25%
25%
20%
19%
18%
10% 12%
22%
57%
51%
61%
54%
46%
39% 33%
19%
17%
30% 39%
43%
33%
20%
17%
21%
19%
40%
36%
50%
46%
44%
15% 33%
62%
72%
69%
86%
84%
84%
82%
83%
0% 20% 40% 60% 80% 100%
Data from Q22: Next, I’m going to read you some statements that relate to HOV lanes. For each, please tell me if you agree or disagree with that statement. (Follow-up with: Would that be strongly or somewhat?)

Perception of How Strictly the
HOV Lanes Are Enforced
Second box Top box (Enforced regularly)
Total 20% 19% 39%
HOV 20% 17% 37%
Proportion who answered “5” or
“4” on 5-point scale, where
“1” means that the restrictions are not enforced at all and
“5” means that the restrictions are enforced regularly.
Non HOV 21% 20% 41%
0% 20% 40% 60% 80% 100%
Data from Q36: How strictly would you say the HOV lane restrictions are enforced? Please use a scale of 1-
5 for your answer, where “1” means that the restrictions are not enforced at all and “5” means that the restrictions are enforced regularly.
26

Perception of How Strictly the
HOV Lanes Are Enforced
-- By Corridor --
DTR
I-95
I-395
36%
41%
45%
54%
43%
50%
HOV
Non HOV
Proportion who answered “5” or
“4” on 5-point scale, where
“1” means that the restrictions are not enforced at all and
“5” means that the restrictions are enforced regularly.
I-66
32%
35%
0% 20% 40% 60% 80% 100%
Data from Q36: How strictly would you say the HOV lane restrictions are enforced? Please use a scale of 1-
5 for your answer, where “1” means that the restrictions are not enforced at all and “5” means that the restrictions are enforced regularly.
27

Perception of Current Penalty or Penalties for Violation of HOV Restrictions
$151 - $500
$25 - $150
A fine / ticket (unspecified)
Points on driver’s license
Other
Don’t know
3
7
34
Total
%
23
20
12
Use HOV
%
28
17
12
2
11
29
Non HOV
%
19
22
13
3
4
37
Data from Q37: What is the current penalty or penalties for violation of HOV lane restrictions?
28

Perception of Current Penalty or Penalties for Violation of HOV Restrictions
-- By Corridor --
$150 - $500
$25 - $150
A fine / ticket (unspecified)
Points on driver’s license
Other
Don’t know
3
6
43
Use
HOV
%
14
DTR
Non
HOV
%
14
17
16
22
14
4
3
43
<1
17
18
Use
HOV
%
41
I-95
Non
HOV
%
31
15
8
18
14
1
5
31
1
17
19
Use
HOV
%
37
I-395
Non
HOV
%
27
14
12
19
16
2
5
30
4
8
32
Use
HOV
%
24
I-66
Non
HOV
%
18
19
12
22
13
4
5
38
Data from Q37: What is the current penalty or penalties for violation of HOV lane restrictions?
29

Total
DTR
Agree that HOV Lanes Should Be
Enforced More Fully
59%
72%
Total proportion answer-ing
“4” or “5” on 5-point scale, where “1” means “do not agree at all” and “5” means
“agree very much.”
69%
59%
I-95
55%
73% HOV
Non HOV
I-395
73%
58%
I-66
73%
62%
0% 20% 40% 60% 80% 100%
Data from Q38: To what extent do you agree with the following statement: “HOV lanes should be enforced more fully”? Please use a scale of 1-5 for your answer, where “1” means “do not agree at all” 30 and “5” means “agree very much.”

31

Aware of HOV Lanes
DTR
I-95
98%
97%
I-395 95%
I-66 98%
0% 20% 40% 60% 80% 100%
Based to those who do not use HOV lanes.
Data from Q15: Prior to this interview, were you aware of the HOV lanes on (DTR/I-95/I-395/I-66)?
32

DTR
Familiarity with HOV Lanes
76%
Total proportion answer-ing
“4” or “5” on 5-point scale, where “1” means “not very familiar” and “5” means “very familiar.
”
I-95 75%
I-395 73%
Based to those who do not use HOV lanes but are aware of them.
I-66 84%
0% 20% 40% 60% 80% 100%
Data from Q16: How familiar are you with the HOV lanes on (DTR/I-95/I-395/I-66)? By familiar I mean, do you know where the exits and entrances for the HOV lanes are? Do you know the hours of operation? How familiar would you say you are with the HOV lanes? Please use a scale of 15 for your answer, where “1” is “not very familiar” and “5” is “very familiar.”

No one going my way
Commute alone
Not convenient
Work hours
Need my car for work
27
15
11
6
Total
%
28
31
11
9
7
DTR
%
29
25
19
10
7
I-95
%
26
23
21
12
6
I-395
%
19
Data from Q18: You indicated that you do not use the HOV lanes. Why have you decided not to use the
HOV lanes? / You indicated that you use the HOV lanes 1-2 days per week. Why do you not use the HOV lanes more often?
34
29
13
11
6
I-66
%
30

Past Usage of HOV Lanes
Yes
37%
Yes:
DTR = 30%
I-95 = 43%
I-395 = 45%
I-66 = 37%
Based to commuters who do not use the HOV lanes.
No
63%
Data from Q19: Have you in the past ever used any HOV lanes regularly?
35

Likelihood of Joining Carpool or Vanpool or
Take Bus to Use HOV Lanes
Somewhat likely Very likely
8% 26% Total 18%
DTR 16% 9% 25%
Based to those who currently SOV.
I-95 19%
17%
9% 28%
9% 26% I-395
I-66 18% 7% 25%
0% 20% 40% 60% 80%
Data from Q25: How likely would you be in the future to join a carpool or vanpool or take a bus in order to use the HOV lanes? Would you be very likely, somewhat likely, not very likely or not at all likely?
100%
36

Transportation Most Likely to Use in Order to
Use HOV Lanes
Carpool
Park-n-ride and take shuttle
HOV Express Bus
Vanpool
Other 6%
19%
14%
22%
37%
Based to those who said they are somewhat or very likely to use alternate transportation in order to use HOV lanes.
Don't know 2%
0% 20% 40% 60% 80%
Data from Q26: Which of the following alternatives would you most likely use for your work commute/destinations?
100%
37

Transportation Most Likely to Use in Order to
Use HOV Lanes
-- By Corridor --
Carpool
37%
37%
34%
45%
Park-n-ride and take shuttle
HOV Express Bus
Vanpool
Other
Don't know
0%
4%
7%
4%
5%
1%
1%
2%
4%
23%
23%
22%
20%
19%
18%
12%
21%
12%
17%
16%
16%
20%
DTR
I-95
I-395
I-66
Based to those who said they are somewhat or very likely to use alternate transportation in order to use HOV lanes.
40% 60% 80% 100%
Data from Q26: Which of the following alternatives would you most likely use for your work/commute destination?

39

Attribute Impact on Likelihood of Ridesharing
Second box Top box (Very likely)
Avoid traffic congestion
Save time by using HOV lanes
15%
16%
37%
32% 48%
52%
Decrease air pollution 14% 28% 42%
Lower transportation costs
Less stress
15%
12%
25%
28%
40%
40%
Total proportion answering
“4” or “5” on 5-point scale, where “1” means
“not at all likely” and “5” means “very likely.”
Qualify for financial support 13% 22%
35%
Park for free 8% 25%
33%
Wouldn't have to find parking space 9% 20% 29%
Park close to work 11%
Companionship during commute
0%
18%
16%
20%
29%
Based to those who currently SOV.
40% 60% 80% 100%
Data from Q21a: People rideshare for a variety of reasons. On a scale of 15 where “1” is “not at all likely” and “5” is “very likely,” how likely would you be to rideshare once or twice a week if …?
40

Attribute Impact on Likelihood of Ridesharing
-- DTR --
Second box Top box (Very likely)
Avoid traffic congestion
Save time by using HOV lanes
Decrease air pollution
Lower transportation costs
Less stress
Qualify for financial support
16%
15%
14%
16%
13%
14%
Park for free 6%
Wouldn't have to find parking space 7%
23%
18%
25%
26%
18%
35%
30%
33%
25%
34%
29%
39%
39%
45%
51%
49%
Total proportion answer-ing
“4” or “5” on 5-point scale, where
”
“1” means “not at all likely”” and “5” means “very likely.
Park close to work 8%
Companionship during commute
0%
16%
13%
20%
24%
Based to those who currently SOV.
40% 60% 80% 100%
Data from Q21a: People rideshare for a variety of reasons. On a scale of 15 where “1” is “not at all likely” and “5” is “very likely,” how likely would you be to rideshare once or twice a week if … ?

Attribute Impact on Likelihood of Ridesharing
-- I-95 --
Second box Top box (Very likely)
Avoid traffic congestion
Save time by using HOV lanes
11%
14%
44%
38%
55%
52%
Decrease air pollution
Lower transportation costs
14%
16%
Less stress 10%
Qualify for financial support 12%
34%
30%
33%
38%
42%
48%
49%
48%
Total proportion answering
“4” or “5” on 5-point scale, where “1” means
“not at all likely”” and “5” means “very likely.”
Park for free 10% 34% 44%
Wouldn't have to find parking space 8% 23%
31%
Based to those who currently SOV.
Park close to work 13% 27%
40%
Companionship during commute
24%
0% 20% 40% 60% 80% 100%
Data from Q21a: People rideshare for a variety of reasons. On a scale of 1-
5 where “1” is “not at all likely” and “5” is “very likely,” how likely would you be to rideshare once or twice a week if … ?

Attribute Impact on Likelihood of Ridesharing
-- I-395 --
Second box
Avoid traffic congestion 11%
Save time by using HOV lanes
Decrease air pollution
Lower transportation costs
15%
13%
17%
Less stress
Qualify for financial support
11%
14%
Park for free 11%
Wouldn't have to find parking space 7%
Park close to work 13%
Companionship during commute
0%
18%
20%
Top box (Very likely)
47%
37%
35%
29%
35%
25% 39%
52%
48%
46%
46%
58%
33%
25%
23%
32%
36%
44%
40%
Total proportion answering
“4” or “5” on 5-point scale, where “1” means
“not at all likely” and “5” means “very likely.”
Based to those who currently SOV.
60% 80% 100%
Data from Q21a: People rideshare for a variety of reasons. On a scale of 15 where “1” is “not at all likely” and “5” is “very likely,” how likely would you be to rideshare once or twice a week if … ?

Attribute Impact on Likelihood of Ridesharing
-- I-66 --
Second box Top box (Very likely)
Avoid traffic congestion
Save time by using HOV lanes
Decrease air pollution
Lower transportation costs
Less stress
16%
19%
14%
16%
12%
Qualify for financial support 14%
Park for free 9%
Wouldn't have to find parking space 10%
Park close to work
Companionship during commute
13%
0%
27%
20%
25%
20%
16%
15%
20%
29%
30%
24%
37%
34%
34%
30%
29%
40%
40%
39%
48%
44%
53%
Total proportion answering
“4” or “5” on 5-point scale, where “1” means
“not at all likely” and “5” means “very likely.”
Based to those who currently SOV.
60% 80% 100%
Data from Q21a: People rideshare for a variety of reasons. On a scale of 15 where “1” is “not at all likely” and “5” is “very likely,” how likely would you be to rideshare once or twice a week if … ?

Reasons for Ridesharing
Avoid traffic congestion
Save time
Lower transportation costs
Less stressed
Decrease air pollution
Avoid having to find parking
Parking is free
Companionship during commute
Park close to work
Qualify for financial support
37%
29%
36%
40%
49%
45%
60%
68%
68%
86%
82%
Based to those who currently rideshare.
0% 20% 60% 80% 100%
Data from Q21b: People rideshare for a variety of reasons. For each one, please tell me whether it is or is not
45 a reason why you currently rideshare rather than drive alone.

Reasons for Ridesharing
-- DTR --
Avoid traffic congestion
Save time
Lower transportation costs
Less stressed
Decrease air pollution
Avoid having to find parking
Parking is free
Companionship during commute
Park close to work
Qualify for financial support
0%
83%
81%
61%
63%
59%
43%
50%
35%
41%
Based to those who currently rideshare.
32%
40% 60% 80% 100% 20%
Data from Q21b: People rideshare for a variety of reasons. For each one, please tell me whether it is or is not a reason why you currently rideshare rather than drive alone.

Reasons for Ridesharing
-- I-95 --
Avoid traffic congestion
Save time
Lower transportation costs
Less stressed
Decrease air pollution
Avoid having to find parking
Parking is free
Companionship during commute
Park close to work
Qualify for financial support
0% 20%
91%
90%
75%
77%
63%
55%
49%
26%
40%
41%
Based to those who currently rideshare.
41%
60% 80% 100%
Data from Q21b: People rideshare for a variety of reasons. For each one, please tell me whether it is or is not a reason why you currently rideshare rather than drive alone.

Reasons for Ridesharing
-- I-395 --
Avoid traffic congestion
Save time
Lower transportation costs
Less stressed
Decrease air pollution
Avoid having to find parking
Parking is free
Companionship during commute
Park close to work
Qualify for financial support
0% 20%
95%
94%
78%
80%
65%
63%
54%
26%
38%
40%
Based to those who currently rideshare.
47%
60% 80% 100%
Data from Q21b: People rideshare for a variety of reasons. For each one, please tell me whether it is or is not a reason why you currently rideshare rather than drive alone.

Reasons for Ridesharing
-- I-66 --
Avoid traffic congestion
Save time
Lower transportation costs
Less stressed
Decrease air pollution
Avoid having to find parking
Parking is free
Companionship during commute
Park close to work
Qualify for financial support
0%
85%
85%
54%
62%
63%
42%
42%
34%
42%
20%
21%
40%
Based to those who currently rideshare.
60% 80% 100%
Data from Q21b: People rideshare for a variety of reasons. For each one, please tell me whether it is or is not a reason why you currently rideshare rather than drive alone.

Importance Index
Respondents who rideshare were asked their first and second most important reasons for ridesharing.
An
“Importance Index” was created by assigning 2 points for every first place mention and 1 point for every second place mention.
The points were totaled for each attribute (or
“reason”). Then, the points for all attributes were totaled. The proportion of the total accumulated for each attribute represents that attribute’s “Importance Index.” This value represents each attribute’s relative importance in deciding to rideshare.
50

Most Important Reasons for Ridesharing
-- Importance Index --
Save time
Avoid traffic congestion
Lower transportation costs
Less stressed
Decrease air pollution
Companionship during commute
Park close to work
Qualify for financial support
Parking is free
Avoid having to find parking
0%
3%
3%
2%
2%
6%
4%
16%
11%
21%
20%
30%
40%
Based to those who currently rideshare.
60% 80% 100%
The values reported in this graph represent the total proportion of first and second place importance rankings for each attribute.

Most Important Reasons for Ridesharing
-- Importance Index: DTR --
Save time
Avoid traffic congestion
Lower transportation costs
Less stressed
Decrease air pollution
Companionship during commute
Park close to work
Qualify for financial support
Parking is free
Avoid having to find parking
0%
2%
6%
4%
2%
2%
13%
11%
9%
20%
22%
30%
40%
Based to those who currently rideshare.
60% 80% 100%
The values reported in this graph represent the total proportion of first and second place importance rankings for each attribute.
52

Most Important Reasons for Ridesharing
-- Importance Index: I-95 --
Save time
Avoid traffic congestion 20%
Lower transportation costs
Less stressed
Decrease air pollution
Companionship during commute
4%
2%
Park close to work
Qualify for financial support
3%
5%
Parking is free 1%
Avoid having to find parking 2%
0%
16%
13%
20%
35%
Based to those who currently rideshare.
40% 60% 80% 100%
The values reported in this graph represent the total proportion of first and second place importance rankings for each attribute.
53

Most Important Reasons for Ridesharing
-- Importance Index: I-395 --
Save time
Avoid traffic congestion
Lower transportation costs
Less stressed
Decrease air pollution
Companionship during commute
Park close to work
Qualify for financial support
4%
2%
4%
3%
11%
18%
18%
37%
Based to those who currently rideshare.
Parking is free
Avoid having to find parking
3%
2%
0% 20% 40% 60% 80% 100%
The values reported in this graph represent the total proportion of first and second place importance rankings for each attribute.
54

Most Important Reasons for Ridesharing
-- Importance Index: I-66 --
Save time
Avoid traffic congestion
Lower transportation costs
Less stressed
Decrease air pollution
Companionship during commute
Park close to work
Qualify for financial support
Parking is free
Avoid having to find parking
0%
5%
2%
2%
2%
6%
6%
13%
10%
20%
23%
33%
40%
Based to those who currently rideshare.
60% 80% 100%
The values reported in this graph represent the total proportion of first and second place importance rankings for each attribute.
55

Likelihood of Carpooling if Paid $.50 a Day
Second box Top box (Very likely)
Total 10% 12% 22%
DTR 11% 9%
20%
I-95 15% 14%
29%
Total proportion answer-ing
“4” or “5” on 5-point scale, where “1” means “not very likely” and “5” means “very likely.
”
I-395 10% 14% 24%
Based to those who currently SOV.
I-66 10% 13% 23%
0% 20% 40% 60% 80% 100%
Data from Q21c: Suppose that a program were created that would pay commuters $.50 a day to carpool on their commute. If this program were in place, how likely would you be to carpool? Please use a scale of 1-5 for your answer, were “1” means “not very likely” and “5” means “very likely.”

Likelihood of Vanpooling if Paid $.50 a Day
Second box Top box (Very likely)
Total 8% 11% 19%
DTR 7% 9% 16% Total proportion answer-ing
“4” or “5” on 5-point scale, where “1” means “not very likely” and “5” means “very likely.
”
I-95 13% 14% 27%
I-395 10% 11% 21%
Based to those who currently SOV.
I-66 8% 10% 18%
0% 20% 40% 60% 80% 100%
Data from Q21c: Suppose that a program were created that would pay commuters $.50 a day to carpool on their commute. If this program were in place, how likely would you be to carpool? Please use a scale of 15 for your answer, were “1” means “not very likely” and “5” means “very likely.”
57

58

Importance of Factors in Selecting Type of
Transportation
Som ew hat im port ant Very im port ant
Dependability
Convenience
Tim e to destination
Flexible arrival tim e
Safety
M orning departure tim e
Better use of com m ute tim e
Cost
Concern about being stranded
Ability to m ake stops / run errands
Ability for w ork related trips
Tim e alone
0%
16%
23%
23%
20%
17%
25%
29%
36%
19%
18%
28%
25%
20%
80%
73%
71%
71%
72%
63%
55%
41%
73%
77%
96%
95%
94%
90%
89%
84%
88%
43%
29%
40%
54%
34% 62%
54%
60%
61%
80% 100%
Data from Q20: I am going to read a list of some factors that commuters sometimes consider in deciding on the type of transportation they use to travel to and from work / their various destinations. Please tell me if each factor is very important, somewhat important, not very important, or not at all important in your choice of transportation to and from work / your destination.

Importance of Factors in Selecting Type of
Transportation
-- HOV Users Compared to Non Users --
HOV
N on HOV
Total “very” and
“somewhat” important.
Dependabilit y
Convenience
Tim e t o dest inat ion
96%
96%
96%
95%
96%
93%
Flexible arrival t im e
Saf et y
M orning depart ure t im e
Bet t er use of com m ut e t im e
Cost
85%
93%
88%
90%
88%
89%
82%
87%
75%
81%
67% Concern about being st randed
76%
50% Abilit y t o m ake st ops / run errands
69%
45% Abilit y f or w ork relat ed t rips
70%
44% Tim e alone
59%
0% 20% 40% 60% 80% 100%

Importance of Factors in Selecting Type of
Transportation
-- DTR --
Total “very” and
“somewhat” important.
Dependabilit y
HOV
N on HOV
Convenience
Tim e t o dest inat ion
Flexible arrival t im e
94%
94%
96%
95%
95%
92%
90%
93%
Saf et y
M orning depart ure t im e
Bet t er use of com m ut e t im e
90%
89%
86%
89%
81%
87%
Cost 76%
75%
69% Concern about being st randed
80%
54% Abilit y t o m ake st ops / run errands
66%
51% Abilit y f or w ork relat ed t rips
72%
Tim e alone 41%
56%
0% 20% 40% 60% 80% 100%

Importance of Factors in Selecting Type of
Transportation
-- I-95 --
HOV
N on HOV
Total “very” and
“somewhat” important .
Dependabilit y
Convenience
Tim e t o dest inat ion
Flexible arrival t im e
Saf et y
M orning depart ure t im e
Bet t er use of com m ut e t im e
Cost
Concern about being st randed
80%
76%
83%
89%
85%
69%
76%
92%
92%
94%
91%
90%
95%
94%
94%
93%
98%
98%
40% Abilit y t o m ake st ops / run errands
72%
38% Abilit y f or w ork relat ed t rips
75%
Tim e alone 46%
69%
0% 20% 40% 60% 80% 100%

Importance of Factors in Selecting Type of
Transportation
-- I-395 --
HOV
N on HOV Total “very” and
“somewhat” import-ant.
Dependabilit y
Convenience
Tim e t o dest inat ion
97%
96%
95%
94%
90%
95%
82% Flexible arrival t im e
90%
Saf et y
M orning depart ure t im e
Bet t er use of com m ut e t im e
Cost
87%
90%
87%
86%
81%
87%
77%
83%
65% Concern about being st randed
74%
39% Abilit y t o m ake st ops / run errands
71%
33% Abilit y f or w ork relat ed t rips
67%
44% Tim e alone
64%
0% 20% 40% 60% 80% 100%

Importance of Factors in Selecting Type of
Transportation
-- I-66 --
HOV
N on HOV
Total “very” and
“somewhat” important.
Dependabilit y
Convenience
Tim e t o dest inat ion
Flexible arrival t im e
Saf et y
M orning depart ure t im e
Bet t er use of com m ut e t im e
88%
92%
84%
89%
90%
90%
89%
86%
95%
96%
97%
96%
93%
98%
Cost
Concern about being st randed
78%
76%
68%
74%
58% Abilit y t o m ake st ops / run errands
68%
53% Abilit y f or w ork relat ed t rips
70%
Tim e alone 44%
58%
0% 20% 40% 60% 80% 100%

Awareness of Convenient Park-n-Ride Lot
Total
52%
51%
62%
68%
DTR
HOV
Non HOV
86%
I-95
71%
I-395
79%
58%
I-66
61%
47%
0% 20% 40% 60% 80% 100%
Data from Q23: Whether or not you use it, do you know if there is a park-n-ride lot or commuter parking lot
65 that is convenient to you?

Average Number of Days per Week
Personal Vehicle Needed
28%
None
19%
1 day
2 days
3 days
4 days
7%
9%
13%
2%
4%
5%
8%
7%
9%
7%
11%
12%
5 days
6 days
7 days
0%
2%
2%
2%
7%
4%
8%
20%
23%
30%
35%
40%
41%
Tot al
HOV
Non HOV
60% 80% 100%
Data from Q24: In an average week, approximately how many days do you need a car so that you can attend to childcare matters or other errands on your way to or from work / your destination or during your lunch break?

Frequency of Teleworking
Never
1 day
2 days
3 days
4 days
5 days
M ore t han 5 days
Don' t know
0%
1%
1%
1%
1%
1%
1%
1%
1%
2%
0%
0%
0%
2%
2%
2%
3%
4%
3%
9%
8%
11%
20% 40% 60%
Data from Q26a: How often, if ever, do you telework or work from home?
80%
82%
83%
80%
Tot al
HOV
Non HOV
100%
67

Frequency of Teleworking
-- DTR --
Never
1 day
2 days
3 days
4 days
5 days
0%
0%
2%
1%
M ore t han 5 days
1%
1%
Don' t know
1%
1%
0%
4%
4%
3%
2%
11%
12%
20% 40% 60%
Data from Q26a: How often, if ever, do you telework or work from home?
79%
79%
80%
HOV
Non HOV
100%
68

Frequency of Teleworking
-- I-95 --
Never
1 day
2 days
4%
4%
3 days
1%
2%
4 days
0%
1%
7%
9%
5 days
M ore t han 5 days
Don' t know
2%
4%
1%
2%
1%
5%
0% 20%
75%
85%
40% 60% 80%
Data from Q26a: How often, if ever, do you telework or work from home?
HOV
Non HOV
100%
69

Frequency of Teleworking
-- I-395 --
Never
1 day
2 days
3 days
4 days
5 days
1%
4%
0%
3%
0%
0%
2%
2%
M ore t han 5 days
1%
4%
Don' t know
0%
1%
1%
9%
8%
20% 40% 60%
Data from Q26a: How often, if ever, do you telework or work from home?
80%
84%
80%
HOV
Non HOV
100%
70

Frequency of Teleworking
-- I-66 --
Never
1 day
8%
9%
2 days
3 days
3%
3%
1%
1%
4 days 1%
0%
5 days
M ore t han 5 days
1%
1%
0%
1%
Don' t know
2%
1%
0% 20% 40% 60%
Data from Q26a: How often, if ever, do you telework or work from home?
80%
83%
84%
HOV
Non HOV
100%
71

Likelihood to Telework in Future
Total 23% 19%
Somewhat likely Very likely
42%
HOV 20% 12% 32%
Based to those who said that they currently do not telework.
Non HOV 24% 23% 47%
0% 20% 40% 60% 80% 100%
Data from Q26b: How likely would you be in the future to telework or work from you home? Would you be very likely, somewhat likely, not very likely, or not at all likely?

Likelihood to Telework in Future
-- By Corridor --
Total “very” and
“somewhat” likely.
34%
DTR
50%
31%
I-95
46%
HOV
Non HOV
I-395
32%
45%
Based to those who said they currently do not telework.
31%
I-66
48%
0% 20% 40% 60% 80% 100%
Data from Q26b: How likely would you be in the future to telework or work from you home? Would you be very likely, somewhat likely, not very likely, or not at all likely?

Familiarity with Alternate Fuel Vehicles
Never heard of
9%
Very fam iliar
29%
Very + Somewhat Familiar:
HOV = 73%
Non HOV = 71%
Som ew hat fam iliar
43%
Not very fam iliar
19%
Based to total sample.
.
Data from Q8a: How familiar are you with alternate fuel vehicles? You might also know these vehicles as hybrid vehicles or low emission vehicles. Would you say you are very familiar, somewhat familiar, not very familiar or never heard of?

Familiarity with Alternate Fuel Vehicles
-- By Corridor --
Total “very” and “somewhat” familiar.
DTR
72%
74%
I-95
I-395
80%
66%
71%
81%
HOV
Non HOV
I-66
67%
69%
0% 20% 40% 60% 80% 100%
Data from Q8a: How familiar are you with alternate fuel vehicles? You might also know these vehicles as hybrid vehicles or low emission vehicles. Would you say you are very familiar, somewhat familiar, not very familiar or never heard of?

Aware that Drivers of Alternate Fuel Vehicles
Can Use HOV Lanes If Only Person in Car
Yes
45% Yes:
HOV = 60%
Non HOV = 36%
No
55%
Data from Q8a: How familiar are you with alternate fuel vehicles? You might also know these vehicles as hybrid vehicles or low emission vehicles. Would you say you are very familiar, somewhat familiar, not very familiar or never heard of?

77

Awareness of Information about HOV Lanes
Total
HOV
48%
52%
Non HOV 46%
0% 20% 40% 60% 80% 100%
Data from Q27: Have you seen or heard any mention of the HOV lanes on television, radio, in the newspaper, on the internet, mail that you received at home or any other sources of information?

Awareness of Information about HOV Lanes
-- By Corridor --
DTR
45%
44%
58%
I-95
48%
HOV
Non HOV
60%
I-395
47%
I-66
47%
44%
0% 20% 40% 60% 80% 100%
Data from Q27: Have you seen or heard any mention of the HOV lanes on television, radio, in the newspaper, on the internet, mail that you received at home or any other sources of information?

Familiarity with HOV Calculator
Visited the website and used calculator
1%
3%
1%
Visited website but never used calculator
2%
3%
1%
Highest usage among
I-95 HOV users = 5%
Total
HOV
Non HOV
Heard of HOV calculator, but never visited website
4%
5%
4%
Never heard of HOV calculator
88%
91%
94%
100% 0% 20% 40% 60% 80%
Data from Q33: Which of the following best describes your familiarity with the HOV calculator, found at HOV calculator.com on the internet?

No need
Too busy
Do not have computer access
No reason
Total
%
24
17
7
6
Use HOV
%
21
17
4
4
Non HOV
%
27
18
10
8
Data from Q34: Why did you not visit the website / use the calculator?
81

Source of Advertising
Radio
Newspaper
Television
Mail at home
Internet
Don't know
0%
49%
48%
49%
33%
34%
33%
17%
14%
19%
16%
16%
16%
10%
14%
18%
6%
7%
6%
20% 40% 60%
Data from Q28a: Where did you see or hear that advertising?
80%
Total
HOV
Non HOV
Based to those who recalled seeing or hearing advertising about HOV Lanes.
100%
82

Usefulness of Information
HOV website 12%
Radio news reports 20%
Fairly useful Very useful
51%
63%
27% 47%
Television news report
Advertising
18%
19%
20%
19%
38%
38%
Newspaper articles
15% 20% 35%
Based to those aware of each information source.
Events at park-n-ride lots 18% 14% 32%
Mail at home
15% 14% 29%
0% 20% 40% 60% 80% 100%
Data from Q29: Thinking about the information you learned about through (SOURCE), how useful was that information? Would you describe it as very useful, fairly useful, somewhat useful, or very useful?

Keeps you updated
Reasons Information Useful
Advertising
%
48
Newspaper
Articles
%
67
Tel.
News
Report
%
42
Radio
News
Report
%
62
Mail at
Home
%
76
Events at P-n-R
Lots
%
71
HOV
Website
%
82
Already knew about it
Give traffic reports
14
7
7
2
5
48
3
52
Does not give enough detail
2 6 5 5 14
Info does not apply to 2 1 3 5 me / Don’t use HOV
-
-
5
14
-
14
14
-
16
5
1
Data from Q30: Why do you say that?
84

Reasons Information Somewhat or Not Useful
Advertising
%
28
Newspaper
Articles
%
21
Tel.
News
Report
%
15
Radio
News
Report
%
18
Mail at
Home
%
18 Already knew about it
Does not give enough detail
20 16 19 12 8
Info does not apply to 16 16 18 21 37 me / Don’t use HOV
Events at
P-n-R
Lots
%
22
HOV
Website
%
39
11
22 6
Data from Q30: Why do you say that?
85

Specific Information Seen or Heard
Television new s report
Radio new s report
New spaper art icle
Advert ising relat ed t o HOV
M ail at hom e
HOV w ebsit e
Event s at park-n-ride lot s
Signs on highw ay
Ot her
Don' t know
0%
3%
2%
3%
1%
2%
1%
4%
5%
4%
3%
2%
3%
13%
13%
13%
8%
9%
8%
5%
8%
12%
20%
39%
44%
48%
34%
38%
30%
45%
43%
47%
40%
Data from Q28: What did you see or hear?
60% 80%
Tot al
HOV
Non HOV
Based to those who recalled seeing or hearing information about HOV Lanes.
100%
86

Most Helpful Source of Information
Radio news report
27%
27%
27%
Television news report
Newspaper article
HOV website
Signs on highway
Advertising related to HOV
Mail at home
Events at park-n-ride lots
Don't know
2%
2%
2%
0%
0%
1%
2%
2%
2%
6%
5%
6%
7%
10%
5%
17%
17%
18%
15%
13%
16%
14%
13%
15%
Total
HOV
Non HOV
Based to those who recalled seeing or hearing information about HOV Lanes.
0% 20% 40% 60% 80%
Data from Q31: Still thinking about all of the information you may have seen or heard about use of the HOV lanes, which one source of information has been most helpful to you?
100%

Keeps you updated
Why Information Most Helpful
Newspaper
Articles
%
Tel.
News
Report
%
Radio
News
Report
%
HOV
Website
%
Signs on
Road
%
Word of
Mouth
%
41 39 39 69 50 45
Listen to the radio for information
Give traffic reports
2
3
1
17
48
22
-
3
-
8
-
7
More convenient to watch television 2
38
39
1
1
-
2 4
-
3
-
Data from Q32: Why do you say that?
88

89

Conclusions and Implications
Conclusion: Commuters on I-95 and I-395 are more likely than commuters on DTR and I-66 to select transportation alternatives that allow them to utilize the HOV lanes. In particular, they are more likely to commute in pre-arranged carpools with two or more others, to commute in informal carpools (slugs) and to commute in vanpools. In addition, these HOV users on I-395 and I-95 are more likely to work for the federal government and are more likely to work for employers that support HOV through incentive programs. Additionally, they are often commuting farther distances than non HOV users and are realizing greater time savings by using the HOV lanes.
Implication: When numerous conditions that support or encourage usage of the HOV lanes come together or “coalesce,” the greater the likelihood that commuters will select a transportation alternative that allows them to use the HOV lanes. It may be that one of these factors acting alone – e.g., distance traveled, time savings – may be sufficient to increase the likelihood for using the HOV lanes. The combined effect of several factors, however, could bring the likelihood even higher. Explore ways of combining messages and incentives for using the
HOV lanes to increase the likelihood of selecting a transportation option that allows the use of the HOV lanes.
90

Conclusions and Implications
Conclusion: Commuters choose to HOV because it saves them time.
When asked directly, in an open-ended question, why they use the HOV lanes, nearly 6 out of every 10 HOV users said that they HOV because it saves them time. No other answer was mentioned with this degree of frequency.
Commuters also indicated that avoiding traffic congestion (11%) and heavy traffic (7%) and not having to drive (5%) were important reasons for using the HOV lanes. Together, these reasons were more important than cost savings (11%).
Implication: Commuters have heard and responded to the message that the HOV lanes will allow them to save time on their commute. These commuters may be the
“easiest to convert” and receptive to the “saving time” message.
While this message may continue to convert additional commuters to HOV lane usage, it may be that future converts to HOV usage may respond better to other messages.
These messages may include concepts related to less traffic congestion and reducing stress. Explore how new messages or messages in addition to “save time” can be used to persuade commuters to use the HOV lanes.
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Conclusions and Implications
Conclusion: Commuters who do not use the HOV lanes have slightly different perceptions of the lanes – particularly in terms of benefits – than do those who use the HOV lanes. Those who do not use the HOV lanes are less likely to believe that
HOV lanes get commuters to their destinations faster, that they lower transportation costs, that they move more people in fewer vehicles, that they improve air quality, that they relieve traffic congestion, and that the HOV lanes are safer.
Implication: Commuters who do not use the HOV lanes have resisted belief in the benefits of the HOV lanes
– or have resisted the messages about the benefits of the
HOV lanes. Explore ways of making the benefits of using the HOV lanes more persuasive. Assess the extent to which emotional rather than rational messages – or some combination of both emotional and rational – can be used to convince additional commuters in Northern Virginia to use the HOV lanes. For example, a message about time savings
– “save 15 minutes on your commute” – tends to be rational. Develop ways to communicate this message in more emotional ways.
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Conclusions and Implications
Conclusion: In general, commuters do not believe that the HOV lanes are enforced regularly. Only 41% of those who do not use the HOV lanes and 37% of those who do HOV believe that the lanes are enforced regularly.
Implication: Lack of perceived enforcement of the HOV lanes may lead commuters to believe that the lanes not supported by VDOT or legal authorities and, hence, not important.
This perception could prevent adoption of transportation that would allow usage of the HOV lanes. Lack of enforcement may also convince non users that not using the HOV lanes is justified because it allows them to rationalize their decision not to HOV.
As long as those who do not use the HOV lanes believe that the restrictions are not enforced, they will be difficult to convert to transportation options that allow them to use the HOV lanes.
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Conclusions and Implications
Conclusion: There is no clear understanding among commuters about the penalty for violation of HOV restrictions. One-third of commuters (34%) said simply that they did not know what the penalty is. Non HOV users are slightly more likely to indicate that they do not know what the penalty is. Some commuters believe there is a fine or ticket for violation, but do not know the amount. Others think the fine ranges from $25 to $500.
There is support for more strict enforcement of the HOV lanes, particularly among those who already use the HOV lanes. Nearly three-fourths (72%) of current HOV users believe the lanes should be enforced more fully. Six out of ten (59%) commuters who do not currently use the
HOV lanes also support more strict enforcement of the lanes.
Implication: In order for penalties for violation of the lanes to be effective – to attract more qualified users and discourage illegal usage – commuters must know that there are penalties for violation, what the penalties are, and that they are enforced. Consider a campaign or specific messages that communicate the penalties for HOV lane violation. Since there is already support for more strict enforcement of the lanes, a message clarifying or reiterating the penalties would be welcomed by many.
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Conclusions and Implications
Conclusion: Commuters who do not use the HOV lanes are aware of the lanes.
Approximately 98% of all commuters who do not use the HOV lanes currently are aware of the lanes. However, not all non HOV users are familiar with the lanes. Only about 75% of the non users said that they are familiar with the HOV lanes in terms of knowing the hours of operation and the location of the exits and entrances.
Implication: Lack of awareness is not preventing usage of the HOV lanes. Lack of understanding
– and hence lack of comfort and ease of usage – may be preventing usage of the HOV lanes. An important role of communications is education. Explore ways to educate commuters about the HOV lanes in ways that make the lanes seem “easy” to use and increase the commuters’ comfort with using the HOV lanes.
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Conclusions and Implications
Conclusion: The most frequent reason given for not using the
HOV lanes is that commuters do not know of anyone “going my way.
” Over one-fourth (28%) of commuters who do not use the
HOV lanes said that they do not HOV because they know of no one going the same way.
Implication: Communications should not “neglect” the importance of a message about the availability of resources to help commuters find other commuters who might HOV with them. Emphasize the ease and speed with which these services can be used.
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Conclusions and Implications
Conclusion: Among commuters who currently SOV, there is interest in commuting in a carpool or vanpool for a monetary incentive.
Nearly one-fourth (22%) of commuters would be likely to carpool if paid $.50 a day. Commuters on I-95 are most interested in carpooling under these conditions. Twenty-nine percent (29%) of this group would be likely to carpool if paid $.50 a day. Slightly fewer, 19%, would be likely to vanpool if paid $.50 per day. Commuters on I-95 (27%) are also more likely to respond to this $.50 incentive to vanpool than commuters on DTR, I-395 or
I-66.
Implication: Potentially, nearly one-fourth of SOV commuters could be converted to carpooling or vanpooling with monetary incentives. Recognize that not all who say they will carpool or vanpool actually will. Explore ways to best “convert” these potential HOV commuters to actual HOV commuters through optimal messages and operational logistics (e.g., how money is paid). Start with SOV commuters on I-95 where the potential is greatest.
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Conclusions and Implications
Conclusion: HOV users (68%) are more likely than non HOV users
(52%) to be aware that there is a Park-n-Ride lot convenient for them to use. This pattern holds constant across all corridors in Northern Virginia –
DTR, I-95, I-395, and I-66.
Implication: The awareness of the availability of Park-n-Ride lots is positively related to usage of the HOV lanes. It is important to have Parkn-Ride lots conveniently available, and it is important for commuters to be aware of and familiar with Park-n-Ride lots. Continue to inform commuters about Park-n-Ride lots, including raising awareness and understanding of the lots.
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Conclusions and Implications
Conclusion: Currently, about 20% of commuters telework – whether they also HOV or not. Among those who do not currently HOV or telework, there is interest in teleworking in the future. Those who currently do not use the HOV lanes are significantly more likely to say that they will telework in the future than are those who currently use the HOV lanes,
47% likelihood among non HOV users and 32% likelihood among HOV users.
Implication: Multiple solutions are necessary to ease traffic congestion in
Northern Virginia. Some non HOV users may never HOV. Nevertheless, they might opt to telework. Some current non HOV users may chose to both telework and HOV.
Find ways to target messages about the opportunity and process of teleworking to current non HOV users.
Develop finely tuned messages to convert these commuters who are already interested in teleworking.
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Conclusions and Implications
Conclusion: Commuters on DTR, I-95, I-395, and I-66 are aware of and rely on multiple sources of information for help in “navigating” through the traffic of Northern Virginia.
They are most aware of television news reports, radio news reports and newspaper articles. They also rate these sources of information about HOV lanes to be most helpful – primarily because these sources keep them updated and provide traffic reports.
Although fewer commuters are aware of the HOV website, it receives highly favorable ratings in terms of the usefulness of the information provided by the site.
Implication: Continue to use multiple media to reach commuters in
Northern Virginia, layering media vehicles and messages to achieve maximum effectiveness. Explore ways to raise the level of awareness of the website – a particularly effective way to communicate with the internetsavvy commuters of Northern Virginia.
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