Relationship between service quality and demand for inter-urban buses

Rojo, Marta; Gonzalo-Orden, Hernán; dell’Olio, Luigi; Ibeas, Ángel

doi:10.1016/j.tra.2012.07.006

Cited by 29 publications

(29 citation statements)

References 23 publications

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“…Whilst the affordability of the PT service has been previously highlighted as having a notable effect on modal choice, and hence ridership, it is clear from these studies that individuals appear not to consider the cost of a journey important when evaluating its quality, which concurs with the findings of Rojo et al (2012). This analysis has also highlighted that the public either consider the environmental friendliness of PT as an after-thought or label it as a low priority, with some studies even failing to include it in their questions regarding passenger requirements.…”

Section: Comparison Of Different Studiessupporting

confidence: 77%

“…They further highlighted that travellers reluctant to use buses may use urban rail systems, since they offer a perceived higher quality of service. Furthermore, (Rojo et al, 2012) found that citizens are much more willing to pay a premium for a quick and frequent rail service than for other urban transport modes, including bus and private car travel. In a study of 811 Stockholm commuters, it was found that, with regard to comfort issues, the bus was preferred to the car, while the train was preferred to the bus, with those questioned stating they enjoyed the ability to rest, work and move around (Vredin Johansson et al, 2006).…”

Section: Modal Choicementioning

confidence: 99%

“…Thus, to demonstrate the viability of the results, a model will be required, which is out of the scope of this project. The quality requirements of citizens regarding their transport mode have also been recorded to differ depending on trip type (Anable and Gatersleben, 2005;Passenger Focus, 2012), citizen gender (dell'Olio et al, 2011b;Rojo et al, 2012), citizen income level (dell'Olio et al, 2011b) and citizen age (De Witte et al, 2006). This highlights the problematic nature of focussing upon a specific demographic, demonstrating the need to apply a holistic approach when attempting to effect modal shift.…”

Section: Comparison Of Different Studiesmentioning

confidence: 99%

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Challenges and opportunities in developing urban modal shift

Batty

Palacín

González-Gil

2015

Travel Behaviour and Society

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Agriculture and Engineering, Newcastle upon Tyne NE1 7RU, UK * Contact: paul.batty2@ncl.ac.uk; +44 (0) 191 208 8657 Abstract Continued urbanisation, and the resultant increase in urban trips, presents one of the greatest challenges to the environmental, economic and social sustainability of society. Given that the modal split between transport modes has remained relatively unaltered in recent decades, this suggests that the levels of private car usage will lead to even greater levels of congestion and air pollution in urban areas. Therefore, a modal shift from private to public transport needs to be effected with urgency. However, whilst in theory this could be achieved with relative ease, numerous societal, political and economic barriers have thus far prevented such a shift from occurring. These have been analysed in detail, using a holistic approach which simultaneously considers all stakeholder needs. Recognising that traveller opinions and requirements are fundamental in effecting modal shift measures, the effects of public transport quality attributes on encouraging modal shift are discussed, accompanied by an updated version of the UK Department for Transport's hierarchy of public transport needs. This investigation then proceeds to analyse the effectiveness of methods to control urban car usage, before discussing solutions to address the barriers to a notable, successful modal shift, including guidance on how to design modal shift programmes. This paper provides useful and insightful guidance for all those involved in attempting to evoke sustainable mobility through a modal shift to public transport systems.2

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Section: Comparison Of Different Studiessupporting

confidence: 77%

Section: Modal Choicementioning

confidence: 99%

Section: Comparison Of Different Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Challenges and opportunities in developing urban modal shift

Batty

Palacín

González-Gil

2015

Travel Behaviour and Society

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“…Personal transport choice has been investigated intensely with regard to the effects of demographic and socio-economic factors (Golob and Hensher 1998;Johansson-Stenman 2002), attitudes (Recker and Golob 1976;Vredin Johansson et al 2006), travel times and costs (Thobani 1984;Train 1980), and trip-related activities (Ben-Akiva and Bowman 1998;Bowman and Ben-Akiva 2001). Based on the empirical finding that the perceived quality of public transport is an important determinant of its use (Bresson et al 2003;Dargay and Hanly 2002;Rojo et al 2012), this study uses the impact of an individual's level of satisfaction with public transport on his or her mode choice as an example that allows us to investigate the value of cross-sectional and crosstemporal analyses of service quality. Hence, we survey the quality ratings for various service attributes (regarding service processes and results; see Harvey 1998).…”

Section: Data and Measuresmentioning

confidence: 99%

The limits of analyzing service quality data in public transport

Becker

Albers

2015

Transportation

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In recent years, management and academics have increasingly focused on quality management in public transport. In particular, many public transport operators regularly monitor their service quality over time and use these data to assess quality performance (e.g., for performance-based quality contracts) and to determine managerial decisions (e.g., budget allocations for service improvements). However, despite the widespread applications of service quality data in practice, it is unclear whether crosssectional analyses and cross-temporal comparisons of service quality data provide valid insights for quality management purposes. In this study, we investigate the usability of cross-sectional analyses and cross-temporal comparisons of service quality data by conducting an empirical study that tracked a panel's perceptions of the service quality of public transport and its choice over the course of three consecutive years. The results demonstrate that cross-sectional analyses provide valid insights for quality management. However, cross-temporal comparisons should be interpreted carefully because the results of these comparisons are surprisingly unreliable. In fact, we find that service quality data do not provide reliable results over time and therefore conclude that cross-temporal comparisons of service quality data must be interpreted with caution for quality management in public transport.

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“…Quality of service is the transit passengers' assessment of the standard of the service delivered (TRB 2013). Behavioral intention is transit passengers' judgment about the likelihood of continuing to use public transportation or willingness to recommend it to others (Rojo et al 2012). Quality of service could affect perceived value, satisfaction and involvement, which could finally influence behavioral intentions of transit passengers (Lai, Chen 2011).…”

Section: Introductionmentioning

confidence: 99%

Assessing Effects of Bus Service Quality on Passengers’ Taxi-Hiring Behavior

Wang

Peng

et al. 2018

Transport

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Abstract.Due to low quality of bus service in a congested road network, some bus-waiting travelers would take taxis instead in order to save time or get to their destinations on time. However, the correlation between bus service quality and passengers' taxi-hiring behavior is essentially unknown. This paper aims to assess the effects of bus service quality on taxi-hiring behavior based on historical data from the Global Position Systems (GPS) equipped buses and taxis in the city of Shenzhen, China. The taxi-hiring behavior is captured by analyzing the taxi-data, such as the origins of passenger pick-up, destinations of passengers drop-off, and taxi paths from the taxi movement data. The quality of bus service is assessed based on the bus location information. Parametric, semiparametric and nonparametric models are developed to explore the effects of bus service quality on taxi-hiring behavior. The results indicate that bus speed, headway and stoppage time are the core factors affecting passengers' taxi-hiring behavior. Availability of metro, time of the day and bus route directions are the secondary important factors. This study shows that when buses run with relatively low and stable speed, taxi-hiring behavior is sensitive to the slight change of bus speed. More passengers would like to take taxis when bus speed starts to decline, or speed or stoppage time of buses tends to be irregular. However, the effects of bus headway on taxi-hiring behavior are more complicated. A specific turning point (coefficient of variability of mean headway ≈ 0.7) in the relationship between taxi-hiring behavior and bus headway is shown in this paper. Based on data mining and model development, this research presents details on attributes of bus service that drive passengers to switch to taxis and how changes in those attributes encourage modal shift from buses to taxis.

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Relationship between service quality and demand for inter-urban buses

Cited by 29 publications

References 23 publications

Challenges and opportunities in developing urban modal shift

Challenges and opportunities in developing urban modal shift

The limits of analyzing service quality data in public transport

Assessing Effects of Bus Service Quality on Passengers’ Taxi-Hiring Behavior

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