Characteristics of premium transit services that affect mode choice

Outwater, Maren L; Spitz, Greg; Lobb, John; Campbell, Margaret A.; Greene, Elizabeth; Pendyala, Ram M.; Woodford, William

doi:10.1007/s11116-011-9334-0

Cited by 39 publications

(25 citation statements)

References 4 publications

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“…Furthermore, in a survey of over 27,000 bus and train commuters in the Netherlands, Van Exel and Rietveld (2009) found that people think they spend much longer on PT than they actually do, going on to suggest that if non-/occasional PT users were informed of how long PT journeys actually took, two thirds would consider PT as a viable option. This demonstrates the importance for Local Authorities and Operators to engage in high-visibility, widespread marketing to help remove such incorrect perceptions, which Outwater et al (2011) state could have a significant positive effect on ridership levels.…”

Section: Addressing Perceptionsmentioning

confidence: 96%

“…next stop, connections to other lines/transport modes) or information regarding alternative routes on the case of delays/cancellations. Outwater et al (2011) found that, for non-traditional PT service attributes in Salt Lake City (USA), the highest rated attribute was highquality real-time service information, above on-board/station amenities and other comfort attributes. This concurs with the findings of dell'Olio et al (2011b), who highlight how the quality of PT service information (e.g.…”

Section: Informationmentioning

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: Addressing Perceptionsmentioning

confidence: 96%

Section: Informationmentioning

confidence: 99%

Challenges and opportunities in developing urban modal shift

Batty

Palacín

González-Gil

2015

Travel Behaviour and Society

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“…For example, in Canada, the Montreal Urban Community Transit system includes weather impacts (due to rain and snow) along with other variables in its ridership demand model to predict ridership for both adult and student markets (Gaudry and Arbic, 1996). A survey conducted among transit users in Salt Lake City, Utah revealed that given an alternate mode choice to their destination, 12% of transit riders avoided transit due to unfavorable weather and environment conditions (Outwater et al, 2011). Changnon (1996) found summer rain to decrease public bus and Chicago Transit Authority (CTA) transit ridership by 2.1% and 3-5% respectively.…”

Section: Impact Of Weather On Transit Ridershipmentioning

confidence: 99%

Impact of weather on urban transit ridership

Singhal

Kamga

Yazici

2014

Transportation Research Part A: Policy and Practice

106

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“…In addition, various cost components contribute to the mode preference as well: ticket costs, fuel costs, parking costs and costs for Park & Ride were all found to significantly influence modal choice (Arentze, 2013;Arentze and Molin, 2013;Creemers et al, 2012). Furthermore, various service-quality attributes contribute significantly to the mode choice decision process, including seat availability, the necessity of making transfers and punctuality of transit systems (Arentze and Molin, 2013;Creemers et al, 2012;Outwater et al, 2011). In addition, the importance of trip motive on modal choice was demonstrated by Stradling (2011) and Creemers et al (2014).…”

Section: Determinantsmentioning

confidence: 97%

Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels

Creemers

Tormans

Bellemans

et al. 2015

Transportation Research Part A: Policy and Practice

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This paper explores the knowledge of the concept 'Light Rail Transit' (LRT) in the context of implementing a Light Rail system in a (sub)-urban region. To this end, three models are estimated: a first model to explore the role of knowledge on modal choice, a second one to identify the determinants of the level of knowledge and a third model to identify the determinants of a cognitive mismatch between actual (real) knowledge and perceived knowledge. The first model (a negative binomial regression model) underlines the significant relation between knowledge of the concept LRT and modal choice. Given the lack of knowledge of the concept 'Light Rail Transit' revealed by the descriptive results, it is of crucial importance to raise the level of knowledge. Knowledge acquisition can be based on transit experiences and information provision. To explore how information campaigns should be constructed and which target groups should be approached, the factors influencing travelers' knowledge and the determinants of a cognitive mismatch are identified by a Multinomial Logit Model (MNL-model) and a Binary Logit Model. The results show that various socio-economic variables as well as socio-psychological variables are significantly influencing actual knowledge and significantly influencing a cognitive mismatch. Among these variables, employment, gender, perception of ticket price of Public Transit (PT) and expectations with regard to seat availability in the LRT-vehicle are the most influential ones.

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Characteristics of premium transit services that affect mode choice

Abstract: Mode choice models, Premium transit services, Stated preference, Transit awareness and familiarity, Transit service attributes, Traveler attitudes,

Cited by 39 publications

References 4 publications

Challenges and opportunities in developing urban modal shift

Challenges and opportunities in developing urban modal shift

Impact of weather on urban transit ridership

Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels

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