A survey of Demand Responsive Transport in Great Britain

Davison, Lisa; Enoch, Marcus P.; Ryley, Tim; Quddus, Mohammed; Wang, Christopher

doi:10.1016/j.tranpol.2013.11.004

Cited by 123 publications

(62 citation statements)

References 10 publications

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“…Laws et al (2009) reported the results of a survey of DRT providers across England and Wales and noted that the vast majority of DRT scheme objectives related to delivering 'social' goals (129 compared with 40 for environmental, economic and geographical combined), indicating that DRT was being used to serve groups that were disadvantaged in some way. And in a follow up exercise, Davison et al (2012a) found that DRT was often perceived as offering the most cost effective way of ensuring that rural communities without a conventional bus service were still able to provide access to services, though not if considered on a per passenger trip basis. Enoch et al (2006) provided a qualitative evaluation of DRT in the rural county of Wiltshire, but offered no quantitative measures as to what (or where) the most suitable market niches may be.…”

Section: Factors Affecting the Demand For Drtmentioning

confidence: 99%

“…One reason for this would seem to be a lack of confidence amongst public transport providers as to the effectiveness of such DRT schemes due largely to the non-mainstream reputation. In particular, there is uncertainty as to the types of areas and user groups or 'market segments' that are most appropriate for DRT (Davison et al 2012a). This is in spite of a growing recognition of the importance of determining the 'user needs' when planning a new service as noted, for example, in Finn et al (2004).…”

Section: Introductionmentioning

confidence: 99%

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Multilevel modelling of Demand Responsive Transport (DRT) trips in Greater Manchester based on area-wide socio-economic data

et al. 2013

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Providing public transport in areas of low demand has long proved to be a challenge to policy makers and practitioners. With the developing economic, social and environmental trends, there is pressure for alternative solutions to the policy of subsidising conventional bus services. One potential solution is to adopt more flexible routes and/or timetables to better match the required demand. Therefore such 'on demand' or 'Demand Responsive Transport' (DRT) services (known as paratransit in the US) have been adopted in a number of locations. This paper seeks to explore the effects of area-wide factors on the demand of DRT by reporting the results of a statistical analysis of DRT service provision in the metropolitan region of Greater Manchester, the public transport authority of which offers one of the largest and most diverse range of DRT schemes in the UK. Specifically, this paper employs a multilevel modelling approach to investigate the impact of both DRT supply-oriented factors at the service area level and socio-economic factors at the lower super output area (LSOA) level on the average number of trips made by DRT per year. This hierarchical or 'nested' structure was adopted because typically the LSOAs within the same Service Area may share similar characteristics. It is found that the demand for DRT services was higher in areas with low car ownership, low population density, high proportion of white people, and high levels of social deprivation, measured in terms of income, employment, education, housing and services, health and disability, and living environment.

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Section: Factors Affecting the Demand For Drtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multilevel modelling of Demand Responsive Transport (DRT) trips in Greater Manchester based on area-wide socio-economic data

et al. 2013

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“…Passengers are picked up at and transported to their desired locations. Since the 1970s, DRT has been used as an alternative transport solution in circumstances where FRT is not economically viable (Davison et al 2014). DRT systems are also termed as subscription bus systems (Chang & Schonfeld 1991a, Chien et al 2001), dial-aride (Desrosiers et al 1986, Cordeau & Laporte 2003, Luo & Schonfeld 2007, paratransit (Shen 9 2012), call-n-ride (Baumgartner & Schofer 2011), high coverage point-to-point transit (Jung & Jayakrishnan 2011), and demand adaptive systems (Crainic et al 2012).…”

Section: Drtmentioning

confidence: 99%

Optimization of demand-responsive transit systems using zonal strategy

Lin

2018

International Journal of Urban Sciences

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In this thesis, two mathematical models were developed and applied to optimize demandresponsive transit systems using zonal strategies. Demand-responsive transit systems provide services between a residential area and a terminal. The first model considers a scenario where the terminal is located outside the service area, which optimizes the area of zones and bus capacity by minimizing the costs occurring within the entire service area; while the second model designs the transit system with its terminal sitting within the service area by minimizing the costs generated in service zones separately. Case studies for the application of both models were conducted for a presumptive demand-responsive transit system operating in northwest Calgary,showing that the models can successfully assist in designing demand-responsive transit systems.Furthermore, sensitivity analysis was conducted to identify the sensitivity of the model output to each model parameter.iii Acknowledgements

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“…For instance, Balcombe et al (2004) suggests that taxis (the most widely available and established form of paratransit) accounted for 10% of all public transport trips in the UK and 6% of passenger kilometres, whilst a survey of British local authorities reveals there to be a relatively small number of Demand Responsive Transport schemes in operation (369 from a response rate of 47% of councils, crudely suggesting a total of around 800 DRT services across the country) compared with roughly 22,000 bus services -i.e. about 4% of services (Davison et al, 2014;Stagecoach, 2015).…”

Section: Paratransit: a Niche Concernmentioning

confidence: 99%