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Alasdair Cain & Jennifer Flynn National Bus Rapid Transit Institute Center for Urban Transportation Research University of South Florida Mark McCourt & Taylor Reyes Redhill Group

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Alasdair Cain & Jennifer Flynn

National Bus Rapid Transit Institute

Center for Urban Transportation Research

University of South Florida

Mark McCourt & Taylor Reyes

Redhill Group

The Conventional View of Ridership Attraction across Different Transit Modes

System performance

Rid

ersh

ip a

ttra

ctio

n

Bus-based transit

Rail-based transit

conventional bus

Heavy rail

“BRT-lite”

“Full service” BRT

LRT

Ridership attraction due to “tangible” service attributes

Ridership attraction due to

“intangible” service attributes

‘BRT Lite’

‘Full Service’ BRT

Study Objectives

• Do people perceive alternative rapid transit modes differently?

• If differences exist, where do they originate?

• Can ridership attraction be attributed to specific tangible and intangible service attributes?

• What variations exist with regard to socio-economic / geographic factors?

Study Methodology

• Literature Review• Los Angeles selected

as case study location• Focus groups in 2007• Attitudinal survey in

2008

Focus Groups

• Group composition:– Mostly choice users with some potential users– Users of local bus, Metro Rapid, Orange Line, Gold/Blue Line,

Red Line • Objectives:

– Identify different tangible and intangible factors– Understand the issues that influence the relative attractiveness of

different rapid transit modes vs private auto– Inform survey design process

Identification of Tangible and Intangible Service Attributes

• Tangible service attributes: – Travel Cost – transit fares, plus related costs like parking

– Door-to-door travel time– Frequency of service – how often the service runs– Hours of service – how early or late service runs, and/or weekend hours– Convenience of service – goes where you need to go/parking availability– Reliability of service – does the service run on time?

• Intangible service attributes: – Safety while riding – safety form accidents and/or crime– Comfort while riding – seats available, temperature, smooth ride, cleanliness, etc.– Safety at the station/stop – safety from accidents and/or crime– Comfort at the station/stop – shelter from weather, amenities, etc.– Customer service – provided by drivers and other transit service staff– Ease of service use – clear service info, routes easy to figure out, etc.– Other riders – feeling secure/at ease/compatible with others using the service– Avoid stress/cost of car use – traffic, parking, accidents, tickets, etc.

Attitudinal Survey

• Survey objectives:– Quantify the relative importance of each tangible and intangible factor– Compare average overall ratings across each mode– Assess impact of socio-economic / geographic factors

• Local LA market research company, Redhill Group, hired to collect and analyze data

• Survey instrument and sampling plan developed in Spring 2008– RDD Telephone survey used to sample potential (non-transit) users– Hybrid On-Board Survey / Telephone Survey used to sample users of

different rapid transit modes • Samples collected of users of the following modes:

– Regular bus - Metro Rapid (“BRT Lite”)– Orange Line (“Full BRT”) - Blue Line (LRT)– Gold Line (LRT) - Red Line (HRT)

• Data collection conducted August – October 2008• Report submitted in February 2009

Do people perceive alternative transit modes differently?

3.4

3.6

3.8

4

4.2

4.4

Local bus Metro Rapid -“BRT Lite”

Orange Line -“Full service” BRT

Blue Line (LRT) Gold Line (LRT) Red Line (HRT)

Ave

rage

Ove

rall

Mod

al R

atin

gs

Total Sample Non-Transit Users

3.4

3.6

3.8

4

4.2

4.4

Local bus Metro Rapid -“BRT Lite”

Orange Line -“Full service” BRT

Blue Line (LRT) Gold Line (LRT) Red Line (HRT)

Ave

rage

Ove

rall

Mod

al R

atin

gs

Total Sample Non-Transit Users

Tier 2

Tier 3

Tier 4

Tier 1

Overall Rating versus Capital Cost per Mile

3.6

3.7

3.8

3.9

4

4.1

4.2

4.3

0 50 100 150 200 250 300 350

Capital Cost per Mile ($M, 2005 dollars)

Ove

rall

Ra

ting

Local bus

Blue Line LRT

Orange Line BRTGold Line LRT

Red Line HRTTier 4

Tier 3

Tier 2

Tier 1

Metro Rapid 'BRT Lite'

Where do the Modal Differences Originate?

Modal Comparisons Summary Analysis

Gold Line LRT

vs. Blue Line LRT

Higher overall ratings achieved by Gold Line compared to Blue Line were primarily due to intangible attributes:

- safety at station, safety while riding, and other riders

Orange Line BRT

vs. Blue Line LRT

Higher overall ratings achieved by Orange Line compared to Blue Line were primarily due to intangible attributes:

- safety at station, safety while riding, and other riders

Orange Line BRT

vs. Gold Line LRT

Similar overall ratings were due to comparable tangible and intangible attribute ratings

Orange Line BRT

vs.

Metro Rapid BRT

Higher overall ratings achieved by Orange Line compared to Metro Rapid resulted from higher tangible and intangible attribute ratings:

- Most significant difference related to station/stop comfort

Metro Rapid BRT vs. Local Bus

Higher overall ratings achieved by Metro Rapid compared to Local Bus were due primarily to higher tangible attribute ratings like travel time, frequency, and reliability

Can Ridership Attraction be Linked to Specific Tangible and Intangible Service Attributes?

3.4

3.6

3.8

4

4.2

4.4

4.6

4.8

5

Servic

e re

liabil

ity

Servic

e fre

quen

cy

Ride sa

fety

Servic

e sp

an

Statio

n/sto

p sa

fety

Servic

e co

nven

ience

Ease

of se

rvice

use

Avoidi

ng st

ress

/cost

of ca

r use

Trave

l Cos

t

Trave

l Tim

e

Ride C

omfo

rt

Custo

mer

Ser

vice

Statio

n/sto

p co

mfo

rt

Other

ride

rs

Ave

rage

Att

ribu

te R

atin

gs

Total Sample Non-Transit Users

3.4

3.6

3.8

4

4.2

4.4

4.6

4.8

5

Servic

e re

liabil

ity

Servic

e fre

quen

cy

Ride sa

fety

Servic

e sp

an

Statio

n/sto

p sa

fety

Servic

e co

nven

ience

Ease

of se

rvice

use

Avoidi

ng st

ress

/cost

of ca

r use

Trave

l Cos

t

Trave

l Tim

e

Ride C

omfo

rt

Custo

mer

Ser

vice

Statio

n/sto

p co

mfo

rt

Other

ride

rs

Ave

rage

Att

ribu

te R

atin

gs

Total Sample Non-Transit Users

Index Regression Models

R Square Constant

Travel Time/Span/

Frequency

Avoiding stress/cost of car use/

Convenience/Ease of Use

Safety/Comfort

Customer Service/

Other Riders

Local 59.9% -.011 .321 .437 .145 .097

Rapid 55.3% .474 .250 .434 .130 .090

Orange 56.9% .425 .274 .401 .179 .067

Gold 57.3% .478 .211 .411 .226 .059

Blue 57.5% .310 .201 .364 .292 .082

Red 56.7% .473 .212 .344 .276 .086

Variation Across Socio-Economic / Geographic Factors

• Overall average rating of each transit service was generally consistent across socio-economic / geographic variables

• Overall average rating of each transit service was positively correlated with level of familiarity with that service

• Travel cost more important for transit captive users• Travel time more important to transit choice users• Transit users (choice and captive) put more weight on service

frequency, travel cost, station comfort, and other riders)• Non-transit users (potential

and auto captive) put more weight on reliability, safety while riding, safety at station/stop, convenience, and customer service

Conclusions

• Public do perceive alternative rapid transit modes differently• Perceived differences linked to level of investment and urban context• Overall perceptions of the different transit modes driven by a mixture of

both tangible and intangible service attributes:– Reliability and service frequency are most important tangible attributes– Safety (while riding and at station/stop) is the most important intangible

attribute, particularly for non-transit users• Tangible attributes (functionality) more important in determining

attractiveness of lower-investment bus-based modes, • Intangible attributes more important in determining attractiveness of

higher investment BRT and rail modes• BRT capable of competing with rail-based transit (at least in the

perception of the general public) in return for lower capital cost investments

• How these ratings translate into ridership attraction potential is a topic for further research………….

Full report can be download at www.nbrti.org/research

Alasdair Cain

(813) 974-5036

[email protected]