Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence

Li, Zheng; Hensher, David A.; Rose, John M.

doi:10.1016/j.tre.2009.12.005

Cited by 304 publications

(165 citation statements)

References 22 publications

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“…In other words, when occupancy rates are always low, users know that they will board the first bus that approaches their stops; nevertheless when the occupancy rate is high on average, passengers do not know for sure if the next bus will have spare capacity or will be full, implying having to wait for at least another bus, i.e., there might be an increase in waiting time. This is a source of unpredictability of travel times, which adds to the generalised cost of travel beyond an increase in average waiting time, because a higher variability in travel times is negatively valued by travellers as shown by the growing body of research on the valuation of travel time variability and reliability (e.g., Senna, 1994;Bates et al, 2001;Bhat and Sardesai, 2006;Li et al, 2010;Börjesson et al, 2012).…”

Section: Effect On Travel Time Reliabilitymentioning

confidence: 99%

Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand

Tirachini

Hensher

Rose

2013

Transportation Research Part A: Policy and Practice

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217

153

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The effects of high passenger density at bus stops, at rail stations, inside buses and trains are diverse. . This paper examines the multiple dimensions of passenger crowding related to public transport demand, supply and operations, including effects on operating speed, waiting time, travel time reliability, passengers' wellbeing, valuation of waiting and invehicle time savings, route and bus choice, and optimal levels of frequency, vehicle size and fare. Secondly, crowding externalities are estimated for rail and bus services in Sydney, in order to show the impact of crowding on the estimated value of in-vehicle time savings and demand prediction. Using Multinomial Logit (MNL) and Error Components models, we show that alternative assumptions concerning the threshold load factor that triggers a crowding externality effect do have an influence on the value of travel time (VTTS) for low occupancy levels (all passengers sitting); however, for high occupancy levels, alternative crowding models estimate similar VTTS. Importantly, if demand for a public transport service is estimated without explicit consideration of crowding as a source of disutility for passengers, demand will be overestimated if the service is designed to have a number of standees beyond a threshold, as analytically shown using a MNL choice model. 2

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Section: Effect On Travel Time Reliabilitymentioning

confidence: 99%

Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand

Tirachini

Hensher

Rose

2013

Transportation Research Part A: Policy and Practice

Self Cite

217

153

View full text Add to dashboard Cite

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“…More generally, a recent introduction is Fosgerau (2015). Recent literature reviews are provided in Carrion and Levinson (2012) and Li et al (2010). Small (2012) reviews the broader literature on the valuation of travel time.…”

Section: Introductionmentioning

confidence: 99%

The cost of travel time variability: Three measures with properties

Engelson

Fosgerau

2016

Transportation Research Part B: Methodological

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This paper explores the relationships between three types of measures of the cost of travel time variability: measures based on scheduling preferences and implicit departure time choice, Bernoulli type measures based on a univariate function of travel time, and meandispersion measures. We characterise measures that are both scheduling measures and meandispersion measures and measures that are both Bernoulli and mean-dispersion. There are no measures that are both scheduling and Bernoulli. We consider the impact of requiring that measures are additive or homogeneous, proving also a new strong result on the utility rates in an additive scheduling measure. These insights are useful for selecting cost measures to use in applications.

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“…On the other hand, travel time, travel time reliability and monetary costs are considered as the three most important factors influencing route choice behaviour on a road network (e.g. Abdel-Aty et al (1995), Lam and Small (2001), and Li et al (2010)). A lot of research effort has been put into developing reliability-based assignment models in both road networks (e.g.…”

Section: Equilibrium Analysismentioning

confidence: 99%

Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City

Wang

Connors

2018

Netw Spat Econ

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In this paper, we propose a multi-objective spatial analysis framework to evaluate the economic, environmental and health impacts of transport investment strategies under different urban growth scenarios. We consider a linear monocentric city (LMC) wherein residents are distributed continuously along an urban corridor and commute daily to a common destination, the central business district (CBD), represented by one end of the linear city. Two modes are available: car and rail. Users can travel from their residence to the CBD by car on a congestible highway with stochastic travel time, or by rail from the most convenient nearby station, which they reach by walking or cycling. Travellers throughout the city have a distribution of reliability preferences. Individual mode choice is determined using the notion of travel time budget surplus to take into consideration the travel time, travel time reliability and monetary cost associated with each mode. We assume users would like to minimise travel time, monetary cost, and maximise travel time reliability. The resulting formulation is a three-objective user equilibrium model (TBSmaxTUE). For the continuous monocentric city model, TBSmaxTUE can be formulated as a fixed point problem. To admit a numerical solution the continuum is discretised, allowing it to be expressed as a standard network equilibrium assignment problem. The performance of this LMC model can then be analysed against multiple objectives. We consider the economic objective to minimise total system travel time; the environmental objective to minimise total tailpipe emissions from car trips; and health objectives to minimise pollutant uptake while also maximising the level of physical activity during the journey to work.

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Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence

Cited by 304 publications

References 22 publications

Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand

Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand

The cost of travel time variability: Three measures with properties

Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City

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