Access the full text.
Sign up today, get DeepDyve free for 14 days.
I. Krinsky, A. Robb (1990)
On Approximating the Statistical Properties of Elasticities: A CorrectionThe Review of Economics and Statistics, 72
D Kahnemann, A Tversky (1979)
Prospect theory: an analysis of decisions under riskEconometrica, 47
A. Polydoropoulou, M. Ben-Akiva (2001)
Combined Revealed and Stated Preference Nested Logit Access and Mode Choice Model for Multiple Mass Transit TechnologiesTransportation Research Record, 1771
DA Hensher (2010)
State-of art and state-of practice in choice modelling
J. Rose, M. Bliemer, D. Hensher, Andrew Collins (2008)
Designing efficient stated choice experiments in the presence of reference alternativesTransportation Research Part B-methodological, 42
C. Bhat (2001)
Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit modelTransportation Research Part B-methodological, 35
K. Train (2003)
Discrete Choice Methods with Simulation by Kenneth E. Train
D. Hensher (2009)
Attribute Processing, Heuristics, and Preference Construction in Choice Analysis
S. Hess, K. Train, J. Polak (2006)
On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choiceTransportation Research Part B-methodological, 40
I. Krinsky, A. Robb (1986)
On Approximating the Statistical Properties of ElasticitiesThe Review of Economics and Statistics, 68
(2009)
A stated strength-of-preference investigation of the willingness to pay to reduce rail overcrowding
D. Hensher (2004)
Stated preference analysis of travel choices: the state of practice
D. Hensher, J. Rose, W. Greene (2005)
Applied Choice Analysis: A Primer
C. Bhat (2003)
Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequencesTransportation Research Part B-methodological, 37
C. Starmer (2000)
Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under RiskJournal of Economic Literature, 38
Janice Pepper, G. Spitz, T. Adler (2003)
Customer Perspectives on Multilevel Coaches for Increasing Rail System CapacityTransportation Research Record, 1838
D. Kahneman, A. Tversky (1979)
Prospect theory: An analysis of decision under risk Econometrica 47
I. Gilboa, D. Schmeidler, P. Wakker (2000)
Utility in Case-Based Decision TheoryJ. Econ. Theory, 105
D. Hensher, J. Rose, W. Greene (2005)
Applied Choice Analysis: List of tables
(2000)
Stated choice methods and analysis
K Train (2003)
Discrete choice methods with simulation
In 2009, the New South Wales government announced that it would be proceeding with a feasibility study to identify the patronage potential of a new Metro rail system for Sydney. As part of this study, a new modal choice study was undertaken to establish the role of traditional attributes such as travel times and costs (and more recently, reliability) but also somewhat neglected influences such as crowding, where the later has a critical role in the calculation of capacity needs at railway stations. This paper focuses on the commuter segment and develops a new stated choice experiment in which travellers are able to compare the proposed new Metro with existing available modal alternatives for access, linehaul and egress trip stages, with a particular emphasis on the incorporation of crowding represented by the availability of a seat vs. standing in existing and new public transport modes. We present the error component choice model together with estimates of mode-specific willingness to pay for travel time components, service frequency and crowding, that latter expressed in terms of the probability of getting a seat and the probability of avoiding standing.
Public Transport – Springer Journals
Published: Feb 1, 2011
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.