A multi-dimensional framework for evaluating the transit service performance

Hassan, Mohammad Nurul; Hawas, Yaser E.; Ahmed, Kamran

doi:10.1016/j.tra.2013.01.041

Cited by 71 publications

(63 citation statements)

References 35 publications

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“…Redman et al (2013) presented a comprehensive review on SQ factorss in PT and determined that reliability, frequency, price, speed, access, comfort, and convenience were the factors that attract car users to use PT. Hassan et al (2013) asserted that the most desirable SQ factors of PT services were reliability, frequency, capacity, price, cleanliness, comfort, security, staff, information, and ticketing system, with loading/ridership, travel time, travel distance, and service duration indicated as "efficiency" indicators.…”

Section: Related Literaturementioning

confidence: 99%

Identifying Key Factors of Rail Transit Service Quality: An Empirical Analysis for Istanbul

Isikli¹,

Aydın²,

Çelik³

et al. 2017

JPT

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Section: Related Literaturementioning

confidence: 99%

Identifying Key Factors of Rail Transit Service Quality: An Empirical Analysis for Istanbul

Isikli¹,

Aydın²,

Çelik³

et al. 2017

JPT

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“…In a study by de Oña et al [7], to determine the most important service quality factors explained that from a general perspective, comfort, personnel, information, and service were determined as the most important factors. Besides, Hassan et al [8] explained that the most desirable service quality factors of public transportation services were reliability, frequency, capacity, price, cleanliness, comfort, security, staff, information, and ticketing system, with loading/ridership, travel time, travel distance, and service duration indicated as "efficiency" indicators…”

Section: Factormentioning

confidence: 99%

Study on the factors affecting the quality of public bus transportation service in Bali Province using factor analysis

Susilawati

Nilakusmawati

2017

J. Phys.: Conf. Ser.

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“…In an assessment of the bus system in Abu Dhabi in 2009 (Hassan et al 2013), the waiting time for transfer of passengers was recorded as 38% from 5-10 minutes, 34% from 10-20 minutes, and 13% less than five minutes. The median transfer time is therefore well below the ten minutes recorded for Cape Town.…”

Section: Transfer Timementioning

confidence: 99%

“…Several frameworks have been developed to determine level of service indicators for the effectiveness of public transportation systems (Hassan et al 2013;Cervero 2013). These systems contain a variety of criteria attributes to evaluate, ranging from cost measures, operational performance and utilisation, but virtually always consider travel time as a key indicator.…”

Section: Introductionmentioning

confidence: 99%

Comparison of travel time between private car and public transport in Cape Town

Hitge¹,

Vanderschuren

2015

J. S. Afr. Inst. Civ. Eng.

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The objective of urban transportation planning is, or should be, to optimise the access to opportunities for all people. One of the factors that defines access is to minimise the travel time between home and both primary and secondary activities. Optimisation refers to the balance between the benefits of reducing travel time with the cost of that reduction. Cost includes operational, infrastructure and environmental costs. However, the reality in many cities is that travel time is often minimised for some users or communities, while it remains relatively high for others. This paper explores the core components of travel time of an integrated public transport system, and compares that with travel time in the private transport system. This is done by using travel time data for Cape Town to estimate the value of time spent on each component of a typical trip in Cape Town in 2013. The paper concludes that travelling by public transport takes significantly longer than by private car for the average trip in Cape Town. It then highlights where to focus investment in the public transport system to move towards an integrated, multi-modal system that can compete with the private car, and thereby become attractive to all communities.

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A multi-dimensional framework for evaluating the transit service performance

Cited by 71 publications

References 35 publications

Identifying Key Factors of Rail Transit Service Quality: An Empirical Analysis for Istanbul

Identifying Key Factors of Rail Transit Service Quality: An Empirical Analysis for Istanbul

Study on the factors affecting the quality of public bus transportation service in Bali Province using factor analysis

Comparison of travel time between private car and public transport in Cape Town

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