Analysis and establishment of bus rapid transit – BRT
African Journal of Business Management Vol. 4(12), pp. 2514-2519, 18 September, 2010
Available online at http://www.academicjournals.org/AJBM
ISSN 1993-8233 ©2010 Academic Journals
Full Length Research Paper
Analysis and establishment of bus rapid transit (BRT)
on customer satisfaction in Tehran
Seyed Mohammad Mahmoudi1, Fereydun Verdinejad1, Gholamreza Jandaghi1*
and Ali Mokhtari Mughari2
1University of Tehran, Qom College, Iran.
2Golpayegan College, Sharif University, Iran.
Accepted 21 July, 2010
This research aims at exploring and analysing the Bus Rapid Transit (BRT) in passengers’ satisfaction
in Tehran City, which has been the huge event in public transportation. In doing this research, after
exploration of models and approaches in service quality, Vahed Company, as public services
organization, serves passengers and uses quality models that emphasize customer satisfaction.
However, the conceptual model based on primary and sub hypothesis was designed. For gathering
data, two questionnaires were used for BRT passengers and customers satisfaction. The research
hypotheses were tested by a correlation test and all the hypotheses were verified. The sequences of
priorities in passengers’ satisfaction were drivers’ behavior, ergonomics, bus velocity and service item.
There was a significant relationship between passengers’ satisfaction and BRT quality. Also, it was
concluded that drivers’ behaviour item with mean of 1.99, bus velocity with mean of 2.04, ergonomics
item with mean of 2.87 and service quality of BRT with mean of 3.10 were from first to fourth of the
passengers’ satisfaction priority, respectively.
Key words: BRT, customer satisfaction, Seroquel, TQM, service quality.
INTRODUCTION
In one type of category, we can divide internal urban
transportation to public and private transportation. The
target of this research is determination relation between
passengers (customer) satisfaction and establishment of
bus rapid transit (BRT) in Tehran that results of this
research can use for development and increscent of
effectiveness of BRT lines in Tehran and the other huge
cities. In the research, drivers behaviour, ergonomics,
speed, ITS and services item were explored by two
questionnaires (SERVQUAL questionnaire and BRT
questionnaire) and all of hypothesizes were verified by
correlation test.
Tehran Vahed Company is as the largest company for
public transportation to citizens’ services in Tehran. An
important factor for customer satisfaction is quality of services
and we used of SERVQUAL model for determination
*Corresponding author. E-mail: jandaghi@ut.ac.ir.
of gap between what we expect and what is given.
(Joseph et al., 2003)
LITERATURE REVIEW
Research literature gives quality and customer
satisfaction and BRT elements. Customer satisfaction is
a broad concept that includes perceived evaluation of
product and service (Leem and Yoon, 2004). Bathie and
Sarkar (2002) in their paper started with the observation
that both marketing and TQM had a core value in
common – a customer focus. From the process approach
(principle in ISO 9001:2000), there is great potential to
use it in operationalizing marketing. Chien et al. (2002)
stated that many companies fail to implement customer
satisfaction owing to lack of experience, or not being able
to keep up with the continuous implementation of customer
satisfaction (requirement of the ISO 9001:2000).
Singh and Singh (2009) try to develop an understanding
understanding of the change in innovation in services
from technological adoption to complex complementary
changes in technologies, skills and organization. They
attempt to look at the managerial perspective of services
innovation and the infrastructural setup needed for an
optimal system. The paper by Zineldin (2005) examines
the product and service quality and customer relationship
factors that influence the customer selection and image
of the principal banks. Zheng and Jiaqing (2007) present
the actuality of South-Centre Corridor Bus Rapid Transit
line of Beijing in China, and summarize and analyse the
application effect from the management condition,
service level, and social benefit. After the regular bus
lines at Beijing South-Centre Corridor being adjusted
stage by stage, the operation environment has been
greatly advanced, and the volume as well as speed of
vehicles has obviously improved; with the improvement of
the service level, the reduction of traveling time of the
passenger, the improvement of the satisfaction level, the
improvement of the bus speed, the reduction of delay, the
improvement of the punctuality rate, the improvement of
the transit efficiency, and the increase in the investment
yield, the BRT is exactly “the third mode” existing
between orbit transit and regular bus transit. Pucher et al.
(2005) describes the public transport reforms in Seoul
and assesses their impacts on safety, speed, costs,
passenger levels, and overall customer satisfaction.
Aworemi et al. (2008) look at the impact of socioeconomic
characteristics of formal and informal public
transport demand in Kwara State, Nigeria and suggest
that government must totally support the informal and
formal public transport sectors (private transport companies)
by providing well-articulated policies to improve
the performance of operations and services. One
necessary condition for the realization of quality and the
creation of value added is quality measurement and
control.
What is BRT?
Bus Rapid Transit uses a variety of innovative system
designs and technologies to speed travel time, cut costs
and make service more reliable.
Federal Transit Administration defines BRT:
“A rapid mode of transportation that can provide the
quality of rail trains and the flexibility of buses”
The main elements of BRT are:
1. Physical components:
– Running way
1. Dedicated lanes
2. Queue Jumps
Mahmoudi et al. 2515
– Stations: Increased passenger amenities
1. Shelter
2. Benches
3. Way finding
4. System maps
5. Real-time information
6. Off board fare collection etc.
– Intelligent Transportation Systems (ITS)
1. Reduced intersection delay (transit signal priority)
2. Real-time bus arrival notifications
– Branding
1. Unique identity branded to service that is carried
through on all aspects of the system including vehicles
and stations
2. Operational components
– Service
1. Increased frequencies (minimum every 10 minutes)
2. Increased spans of service (minimum 14 h/day)
including nights and weekends
3. Limited stops – only highest ridership locations
– Vehicles
1. Low-floor vehicles to allow curb level boarding
2. Higher capacity vehicles
Measurement of quality service in public sector:
SERVQUAL model
The SERVQUAL approach to the measurement of
service quality has attracted considerable attention since
it was first introduced by Parasuraman et al. in 1985 and
further developed by them in 1998 (Donnelly and
Dalrymple, 1996). “The approach starts from the
assumption that the level of service quality experienced
by customers is critically determined by the gap between
their expectations of the service and their perceptions of
what they actually receive from a specific service provider”
(Donnelly and Dalrymple,1996). The SERVQUAL
model proposes five dimensions upon which customers
evaluate service quality. These are:
1. Tangibles – the appearance of the physical facilities
and materials related to the service
2. Reliability – the ability to perform the service accurately
and dependably
3. Responsiveness – the willingness to help customers
and provide prompt service
4. Assurance – the competence of the system and its
security, credibility and courtesy
2516 Afr. J. Bus. Manage.
5. Empathy – the ease of access, approachability and
effort taken to understand customers’ requirements.
Initially the SERVQUAL model (Parasuraman et al.,
1985) was purported to be a generic model for all service
encounters. Work done by Donnelly and Dalrymple
(1996) questioned its portability and validity in the case of
public services. They contended that the multidimensional
nature of the stakeholders made the service
delivery and evaluation more complex. If SERVQUAL is a
generic instrument is it portable to the virtual service
encounter that takes place between a call centre and its
customers? This paper uses the SERVQUAL Model for
measurement of customer satisfaction from
establishment of BRT in Tehran.
RESEARCH HYPOTHESES
Main hypothesis
There is a significant relationship between BRT establishment
and customer satisfaction of public transportation in
Tehran.
Secondary hypotheses
There is significant relationship between variety services
of BRT and customer satisfaction.
There is significant relationship between velocity of BRT
and customer satisfaction.
There is significant relationship between drivers behavior
of BRT and customer satisfaction.
There is significant relationship between ergonomics of
BRT and customer satisfaction.
Research conceptual model
We designed a conceptual model based on the research
target and its measurement and quality for gaining to
target (Figure 1).
RESEARCH METHODOLOGY
This research is applied research and survey-descriptive research.
It is used from correlation method for determination relation
between customer satisfaction and establishment of BRT .Because
of it; we designed and distributed two questionnaires that one
SERVQUAL questionnaire is customer satisfaction measurement
by SERVQUAL model and another is for BRT passengers. For
evaluation of customer satisfaction was stated 15 questions and for
BRT passengers were stated 35 questions. For reliability of the
research was used Cronbach’s_ alpha and the results of variables
reliability are shown in Table _.
Also, we calculated Cronbach’s_alpha for all the questions of this
research and resulted to 0.879 and this number is higher than 0.7,
then the reliability of research is verified. For validity, evaluation
was used from content validity and verification of expert professors
and expertise managers in Vahed Company and BRT system.
Based on research hypothesizes can state that independent
variables are services quality, speed, drivers behavior, ergonomics
and ITS and dependent variable is satisfaction of BRT services
quality. Also, are explored and analyzed the relation among
customer passenger with services quality, speed, drivers behavior,
ergonomics and ITS.
Statistical population and sample
Based on the population of Tehran citizens, target population for
BRT passengers in Tehran are 000/000/2 passengers and using
the sample size formula 200 passengers were selected. In this research,
two questionnaires were distributed, one questionnaire was
designed for customer satisfaction measurement (SERVQUAL
model) and the second one was designed for BRT passengers.
Time scope of the data collection was from September to
December 2009.
RESEARCH FINDINGS
For normality testing of variables, the Kolmogrov –
Smirnov’s test was used. The test results are shown in
Table 2. By Pearson’s_correlation_coefficient, the relation
among BRT services, drivers’ behavior, BRT speed,
ergonomics and ITS are verified (Table 3). In Tables 4
and 5, it is given statistics test in Friedman test.
Because error level (0.000) is lower than given error
level (0.05),H0 based on equality of variables priorities is
rejected .Thus , the result of Friedman’s test shows
drivers behavior item with a mean of 1.99 in the first
priority, the speed item with a mean of 2.04 in the second
priority, Ergonomics item with 2.87 in the third priority,
service item of BRT with mean of 3.10 in forth priority and
ITS item of BRT with mean of 3.15 in fifth priority of
customer satisfaction. In Table 6, satisfaction of questionnaires
respondent sequentially presented drivers behavior
,ergonomics, BRT speed, BRT services and ITS.
Conclusions
The research showed that there is a significant relation
between BRT establishment and customer satisfaction
measurement in Tehran. There is a significant relation
between BRT services and customer satisfaction.
Therefore, the first of secondary hypothesis is verified.
Thus variety services in BRT measured by indexes of
fare collection, availability to ticket kiosk, price of ticket,
security, clearance, availability to stations and
accountability of BRT responsible.
There is a significant relation between BRT speed and
customer satisfaction. Therefore, the second of
secondary hypothesis is verified. Thus BRT speed was
measured by indexes of stoplight number, number of
buses, defection of bus and waiting time.
There is a significant relation between driver’s behavior
and Customer satisfaction. Therefore, the third of secondary
Mahmoudi et al. 2517
_
Figure 1. Research conceptual model (Source: Author’s work, 2010).
Table 1. The result of variables research and questionnaire based on Cronbach’s alpha.
Variables Alpha
Services BRT 0.878
Speed BRT 0.812
Drivers Behavior 0.733
Ergonomics 0.775
Passenger of satisfaction BRT questionnaire 0.713
Table 2. The result of Kolmogorov-Smirnov test.
_ Customer satisfaction_ Ergonomics_ Drivers behavior_ BRT Speed_ Services BRT
Sig _ 0.120_ 0.054_ 0.334_ 0.320_ 0.183_
2518 Afr. J. Bus. Manage.
Table 3. Pearson’s correlation coefficient for hypothesizes.
Hypothesis Variables Pearson’s correlation coefficient P-value
Main hypothesis BRT establishment customer satisfaction 0.487** 0.000
The first secondary hypothesis BRT services customer satisfaction 0.438** 0.000
The second secondary hypothesis BRT speed customer satisfaction 0.403** 0.013
The third secondary hypothesis Drivers behavior customer satisfaction 0.178* 0.013
The forth secondary hypothesis Ergonomics customer satisfaction 0.349** 0.000
Table 4. Test statistics in Friedman’s test.
Statistics Score
Number 196
Chi-square 150.236
df 3
Asymp. Sig. 0
Number 196
Table 5. Mean of ranks in Friedman’s test.
Variables Mean of ranks
Services BRT 3.1
Speed BRT 2.04
Drivers behavior 1.99
Ergonomics 2.87
Table 6. Mean and standard deviation of respondents for BRT variables.
Variables BRT questionnaire (No) Mean Standard deviation
Drivers behavior 27-29 4.4 0.9
Ergonomics 30-35 4.2 0.8
Speed BRT 20-26 3.7 0.8
Services BRT 19-Jan 3.6 0.7
hypothesis is verified. Thus driver’s behavior in BRT was
measured by indexes of treatment of drivers and
coverage of drivers (Formal coverage).
There is a significant relation between ergonomics and
customer satisfaction. Therefore, the fourth of secondary
hypothesis is verified. Thus ergonomics in BRT was
measured by indexes of number of bus seats, air
condition, the number of catches and convenience of
stations. There is a significant relation between ITS and
Customer satisfaction. Therefore, the fifth of secondary
hypothesis is verified. Thus ITS in BRT was measured by
indices of signals priority to drivers and time bus arrival
notifications. Mean of customer satisfaction measurement
by SERVQUAL model shows sequentially that drivers
behavior item, then ergonomics item, then speed item,
then services item and the last, ITS item influence in
customer satisfaction measurement.
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