The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
Constructing Efficient Stated Choice Experimental Designs
Abstract
Stated choice (SC) experiments are often used in transportation studies for estimating and forecasting behaviour of travellers, road authorities, etc. This kind of experiment relies on underlying experimental designs. Whilst orthogonal designs are mainstream for practitioners, many researchers now realize that so‐called efficient designs are able to produce more efficient data in the sense that more reliable parameter estimates can be achieved with an equal or lower sample size. This paper describes several processes for generating SC experiments and is intended to give an overview of the current state‐of‐the‐art. Different methods are described.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The screening alternatives described by the attributes and levels in Table 1 were allocated into choice sets using a multinomial logit (mnl) d-efficient design, assuming no prior information about the likely magnitude or direction of coefficients (zero priors) [29,30].”
From Consumer preferences for teledermoscopy screening to detect melanoma early (2016) · cites this paper as [30]
In the citing paper
“Hence, a D-efficient design will outperform an orthogonal design, and (given reliable priors), a Dp-efficient design will outperform a Dz-efficient design [21].”
From Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design (2021) · cites this paper as [21]
In the citing paper
“It is noteworthy that when the parameter priors are different from zero, the efficient design generated produces smaller prediction errors than orthogonal designs [21,49,50].”
From Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design (2021) · cites this paper as [21]
In the citing paper
“The most widely used efficiency measure is the D-error, which may be easily estimated using various software packages, such as Ngene, and refers to the efficiency of the experimental design in extracting information from respondents [21].”
From Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design (2021) · cites this paper as [21]
Citations
Cites
Conditional logit analysis of qualitative choice behavior
McFadden, D. L. (1972) · eScholarship (California Digital Library) · Cited by 14,203
Cragg, J. G., & Zarembka, P. (1975) · Canadian Journal of Economics/Revue canadienne d économique · doi:10.2307/134075 · Cited by 8,477
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Louviere, J. J., Hensher, D. A., Swait́, J., & Adamowicz, W. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511753831 · Cited by 7,008
Statistics for experimenters. An introduction to design, data analysis, and model building.
Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1978) · Cited by 4,021
Discrete Choice Methods with Simulation
Train, K. E. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511753930 · Cited by 3,973
Cochran, W. G., & Cox, G. M. (1957) · Cited by 1,729
Journal of transport economics and policy
(1969) · Transportation Research · doi:10.1016/0041-1647(69)90163-4 · Cited by 1,578
The Importance of Utility Balance in Efficient Choice Designs
Huber, J. C., & Zwerina, K. (1996) · Journal of Marketing Research · doi:10.1177/002224379603300305 · Cited by 1,023
(1955) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1955.tb38334.x · Cited by 891
Research works printed but not linked: 7
- Bliemer, M. C. J. and Rose, J. M. Designing stated choice experiments: state‐of‐the‐art. Paper presented at the 11th international conference on Travel Behaviour Research. August2006, Kyoto, Japan.
- Bliemer M. C. J., Transportation Research Part B
- Cochran W. G., 1957, Experimental Designs
- Fowkes A. S., 2000, Stated Preference Modelling Techniques, 37
- Rose, J. M. and Bliemer, M. C. J. Designing efficient data for stated choice: accounting for socio‐demographic and contextual effects in designing stated choice experiments. Paper presented at the 11th international conference on Travel Behaviour Research. August2006, Kyoto, Japan.
- Rose J. M., 2008, Handbook of Transport Modelling, Ch 8, 151
- Watson S. M., 2000, Stated Preference Modelling Techniques, 91
Cited by
Sorted by citations
Contemporary Guidance for Stated Preference Studies
Johnston, R. J., Boyle, K., Adamowicz, W., Bennett, J., Brouwer, R., Cameron, T. A., Hanemann, W. M., Hanley, N. D., Ryan, M., Scarpa, R., et al. (2017) · Journal of the Association of Environmental and Resource Economists · doi:10.1086/691697 · Cited by 1,566
Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide
de Bekker-Grob, E. W., Donkers, B., Jonker, M. F., & Stolk, E. A. (2015) · Patient · doi:10.1007/s40271-015-0118-z · Cited by 987
Best-Worst Scaling: Theory, Methods and Applications
Louviere, J. J., Flynn, T. N., & Marley, A. A. J. (2015) · Thammasat University Digital Collections · Cited by 434
Experimental design influences on stated choice outputs: An empirical study in air travel choice
Bliemer, M. C. J., & Rose, J. M. (2010) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2010.09.003 · Cited by 258
Self-citationHow might potential future plug-in electric vehicle buyers differ from current “Pioneer” owners?
Axsen, J., Goldberg, S., & Bailey, J. (2016) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2016.05.015 · Cited by 250
Hypothetical bias in Stated Choice Experiments: Is it a problem? And if so, how do we deal with it?
Fifer, S. J., Rose, J. M., & Greaves, S. P. (2014) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2013.12.010 · Cited by 256
Self-citationMorton, R. L., Snelling, P. L., Webster, A. C., Rose, J. M., Masterson, R., Johnson, D. W., & Howard, K. (2012) · Canadian Medical Association Journal · doi:10.1503/cmaj.111355 · Cited by 239
Self-citationA better carbon footprint label
Thøgersen, J. B., & Nielsen, K. S. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.03.098 · Cited by 239
Holmes, T. P., Adamowicz, W., & Carlsson, F. (2017) · The Economics of non-market goods and resources · doi:10.1007/978-94-007-7104-8_5 · Cited by 226
Correia, G. H. D. A., de Looff, E., van Cranenburgh, S., Snelder, M., & van Arem, B. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.11.016 · Cited by 186
Residential location and transit-oriented development in a new rail corridor
Olaru, D., Smith, B., & Taplin, J. H. E. (2011) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2010.12.007 · Cited by 176
Hensher, D. A., Rose, J. M., & Greene, W. H. (2011) · Transportation · doi:10.1007/s11116-011-9347-8 · Cited by 175
Self-citationThe Measurement and Analysis of Housing Preference and Choice
Goetgeluk, R. W., Coolen, H. C. C. H., & Jansen, S. J. T. (2011) · Springer eBooks · doi:10.1007/978-90-481-8894-9 · Cited by 180
Acheampong, R. A., Cugurullo, F., Guériau, M., & Dusparić, I. (2021) · Cities · doi:10.1016/j.cities.2021.103134 · Cited by 185
Haghani, M., & Sarvi, M. (2016) · Fire Safety Journal · doi:10.1016/j.firesaf.2016.07.003 · Cited by 165
Haghani, M., Bliemer, M. C. J., Rose, J. M., Oppewal, H., & Lancsar, E. (2021) · Journal of Choice Modelling · doi:10.1016/j.jocm.2021.100322 · Cited by 180
Self-citationElectric scooter sharing: How do people value it as a last-mile transportation mode?
Baek, K., Lee, H., Chung, J.-H., & Kim, J. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102642 · Cited by 177
Ferguson, M., Mohamed, M., Higgins, C. D., Abotalebi, E., & Kanaroglou, P. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.12.006 · Cited by 158
Farmer preferences for adopting precision farming technologies: a case study from Italy
Blasch, J., van der Kroon, B., van Beukering, P. J. H., Munster, R., Fabiani, S., Nino, P., & Vanino, S. (2020) · European Review of Agricultural Economics · doi:10.1093/erae/jbaa031 · Cited by 178
Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles
Bansal, P., Kumar, R. R., Raj, A., Dubey, S., & Graham, D. J. (2021) · Energy Economics · doi:10.1016/j.eneco.2021.105340 · Cited by 157
Scarpa, R., Notaro, S., Louviere, J. J., & Raffaelli, R. (2011) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaq174 · Cited by 160
Frei, C., Hyland, M. F., & Mahmassani, H. S. (2017) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2016.12.017 · Cited by 151
Bayesian optimal designs for discrete choice experiments with partial profiles
Kessels, R., Jones, B., & Goos, P. (2011) · Journal of Choice Modelling · doi:10.1016/s1755-5345(13)70042-3 · Cited by 155
D-efficient or deficient? A robustness analysis of stated choice experimental designs
Walker, J. L., Wang, Y., Thorhauge, M., & Ben-Akiva, M. E. (2017) · Theory and Decision · doi:10.1007/s11238-017-9647-3 · Cited by 143
Choice modelling in the age of machine learning - Discussion paper
van Cranenburgh, S., Wang, S., Vij, A., Pereira, F. C., & Walker, J. L. (2021) · Journal of Choice Modelling · doi:10.1016/j.jocm.2021.100340 · Cited by 183
Alberini, A., Silvia Banfi, A., & Ramseier, C. (2013) · The Energy Journal · doi:10.5547/01956574.34.1.3 · Cited by 143
Transfer penalties in multimodal public transport networks
Garcia-Martinez, A., Jiménez, R. C., Jara-Diaz, S. R., Chowdhury, S., & de Cáceres, A. M. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.01.016 · Cited by 153
Qian, L., Grisolía, J. M., & Soopramanien, D. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.02.008 · Cited by 148
Determining guests’ willingness to pay for hotel room attributes with a discrete choice model
Masiero, L., Heo, C. Y., & Pan, B. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2015.06.001 · Cited by 151
Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory
Franceschinis, C., Thiene, M., Scarpa, R., Rose, J. M., Moretto, M., & Cavalli, R. (2017) · Energy · doi:10.1016/j.energy.2017.02.060 · Cited by 155
Self-citationConsumer preferences for innovative and traditional last-mile parcel delivery
Merkert, R., Bliemer, M. C. J., & Fayyaz, M. (2022) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-01-2021-0013 · Cited by 135
Self-citationKim, J., Rasouli, S., & Timmermans, H. J. P. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.07.022 · Cited by 142
Chaniotakis, E. M., & Pel, A. J. (2015) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2015.10.004 · Cited by 123
Beck, M. J., Fifer, S. J., & Rose, J. M. (2016) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2016.04.004 · Cited by 121
Self-citationLi, W., & Kamargianni, M. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.01.019 · Cited by 123
Verhetsel, A., Kessels, R., Goos, P., Zijlstra, T., Blomme, N., & Cant, J. (2015) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2014.12.002 · Cited by 118
Modelling mode choice for freight transport using advanced choice experiments
Arencibia, A. I., Feo-Valero, M., Menéndez, L. G., & Román, C. (2015) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2015.03.027 · Cited by 117
Kim, D., & Park, B. (2017) · Tourism Management · doi:10.1016/j.tourman.2017.07.014 · Cited by 117
Modelling parking choices considering user heterogeneity
Ibeas, Á., dell’Olio, L., Bordagaray, M. E., & Ortúzar, J. D. D. (2014) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2014.10.001 · Cited by 116
Kim, J., Rasouli, S., & Timmermans, H. J. P. (2016) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2016.11.005 · Cited by 130
Feo, M., Espino, R., & Menéndez, L. G. (2010) · Transport Policy · doi:10.1016/j.tranpol.2010.05.009 · Cited by 116
Liao, F., Molin, E. J. E., Timmermans, H. J. P., & van Wee, B. (2018) · Transportation · doi:10.1007/s11116-018-9929-9 · Cited by 108
Szinay, D., Cameron, R., Naughton, F., Whitty, J. A., Brown, J., & Jones, A. (2021) · Journal of Medical Internet Research · doi:10.2196/32365 · Cited by 106
Huang, B., Meijssen, A. G., Annema, J. A., & Lukszo, Z. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112410 · Cited by 105
Estimating preferences for different types of pedestrian crossing facilities
Anciães, P. R., & Jones, P. (2017) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2017.11.025 · Cited by 102
Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package
Traets, F., Gil-Sanchez, D., & Vandebroek, M. L. (2020) · Journal of Statistical Software · doi:10.18637/jss.v096.i03 · Cited by 102
Kemperman, A. D. A. M. (2021) · Annals of Tourism Research · doi:10.1016/j.annals.2020.103137 · Cited by 113
Valuing crowding in public transport: Implications for cost-benefit analysis
Batarce, M. A., Muñoz, J. C., & Ortúzar, J. D. D. (2016) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2016.06.025 · Cited by 101
Huang, Y., Qian, L., Soopramanien, D., & Tyfield, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120639 · Cited by 107
Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil
Larrañaga, A. M., Arellana, J., Rizzi, L. I., Strambi, O., & Cybis, H. B. B. (2018) · Transportation · doi:10.1007/s11116-018-9944-x · Cited by 106
Blasch, J., & Farsi, M. (2013) · Journal of Environmental Economics and Policy · doi:10.1080/21606544.2013.842938 · Cited by 101
Doherty, E., Mellett, S., Norton, D., McDermott, T. K. J., O’Hora, D. P., & Ryan, M. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112607 · Cited by 95
Krauss, K., Krail, M., & Axhausen, K. W. (2021) · Travel Behaviour and Society · doi:10.1016/j.tbs.2021.09.010 · Cited by 94
Integration of HSR and air transport: Understanding passengers’ preferences
Román, C., & Martı́n, J. C. (2014) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2014.09.001 · Cited by 92
Arlinghaus, R., Beardmore, B., Riepe, C., Meyerhoff, J., & Pagel, T. (2014) · Journal of Fish Biology · doi:10.1111/jfb.12546 · Cited by 87
Fessler, A., Thorhauge, M., Mabit, S. L., & Haustein, S. (2022) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2022.02.005 · Cited by 83
Hoefman, R., van Exel, J. N. A., Rose, J. M., van de Wetering, E. J., & Brouwer, W. B. F. (2013) · Medical Decision Making · doi:10.1177/0272989x13492013 · Cited by 84
Self-citationHoefman, R., van Exel, J. N. A., & Brouwer, W. B. F. (2016) · PharmacoEconomics · doi:10.1007/s40273-016-0477-x · Cited by 85
The landscape of econometric discrete choice modelling research
Haghani, M., Bliemer, M. C. J., & Hensher, D. A. (2021) · Journal of Choice Modelling · doi:10.1016/j.jocm.2021.100303 · Cited by 83
Self-citationSubjective valuation of the transit transfer experience: The case of Santiago de Chile
Lobos, F. J. N., & Ortúzar, J. D. D. (2013) · Transport Policy · doi:10.1016/j.tranpol.2012.10.006 · Cited by 83
Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul
Larrañaga, A. M., Arellana, J., & Senna, L. A. D. S. (2016) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2016.10.028 · Cited by 77
Consumer preferences for cage‐free eggs and impacts of retailer pledges
Lusk, J. L. (2018) · Agribusiness · doi:10.1002/agr.21580 · Cited by 82
Urban Air Mobility (UAM): Airport shuttles or city-taxis?
Coppola, P., Fabiis, F. D., & Silvestri, F. (2024) · Transport Policy · doi:10.1016/j.tranpol.2024.03.003 · Cited by 81
A Step-by-Step Procedure to Implement Discrete Choice Experiments in Qualtrics
Weber, S. (2019) · Social Science Computer Review · doi:10.1177/0894439319885317 · Cited by 73
Luyten, J., Kessels, R., Goos, P., & Beutels, P. (2015) · Value in Health · doi:10.1016/j.jval.2014.12.007 · Cited by 73
Masiero, L., Yang, Y., & Qiu, R. T. R. (2019) · Tourism Management · doi:10.1016/j.tourman.2018.12.002 · Cited by 73
Andorfer, V. A., & Liebe, U. (2013) · European Sociological Review · doi:10.1093/esr/jct014 · Cited by 80
Grilli, G., & Notaro, S. (2018) · Journal of Environmental Management · doi:10.1016/j.jenvman.2018.11.103 · Cited by 80
van den Broek‐Altenburg, E. M., & Atherly, A. J. (2020) · Health Economics Review · doi:10.1186/s13561-020-00276-x · Cited by 70
Huang, Y., Qian, L., Tyfield, D., & Soopramanien, D. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120687 · Cited by 68
Freiesleben, J., Keim, J., & Grutsch, M. (2020) · Quality and Reliability Engineering International · doi:10.1002/qre.2579 · Cited by 68
Contingent Valuation of Environmental Goods
McFadden, D. L., & Train, K. (2017) · Edward Elgar Publishing eBooks · doi:10.4337/9781786434692 · Cited by 66
Riders on the storm: Exploring weather and seasonality effects on commute mode choice in Chicago
Hyland, M. F., Frei, C., Frei, A., & Mahmassani, H. S. (2018) · Travel Behaviour and Society · doi:10.1016/j.tbs.2018.05.001 · Cited by 65
Modeling reference experience in destination choice
Masiero, L., & Qiu, R. T. R. (2018) · Annals of Tourism Research · doi:10.1016/j.annals.2018.06.004 · Cited by 74
Analysing freight shippers’ mode choice preference heterogeneity using latent class modelling
Kim, H.-C., Nicholson, A., & Kusumastuti, D. (2017) · Transportation research procedia · doi:10.1016/j.trpro.2017.05.123 · Cited by 67
Cash only? Unveiling preferences for a PES contract through a choice experiment in Chiapas, Mexico
Costedoat, S., Koetse, M. J., Corbera, E., & Ezzine‐de‐Blas, D. (2016) · Land Use Policy · doi:10.1016/j.landusepol.2016.07.023 · Cited by 64
A methodology based on parking policy to promote sustainable mobility in college campuses
dell’Olio, L., Cordera, R., Ibeas, Á., Barreda, R., Alonso, B., & Moura, J. L. (2018) · Transport Policy · doi:10.1016/j.tranpol.2018.03.012 · Cited by 71
Fecke, W., Danne, M., & Mußhoff, O. (2018) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2018.05.032 · Cited by 64
Kalatian, A., & Farooq, B. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102962 · Cited by 62
Consumer preferences for teledermoscopy screening to detect melanoma early
Spinks, J., Janda, M., Soyer, H. P., & Whitty, J. A. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15586701 · Cited by 61
Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment
Kim, E.-J., Kim, Y., Jang, S., & Kim, D. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.06.016 · Cited by 61
Bhat, F. A., Tiwari, G. Y., & Verma, A. (2024) · Transport Policy · doi:10.1016/j.tranpol.2024.02.004 · Cited by 64
Huynh, E. K., Coast, J., Rose, J. M., Kinghorn, P., & Flynn, T. N. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.07.012 · Cited by 61
Self-citationBergantino, A. S., & Madio, L. (2020) · Research in Transportation Economics · doi:10.1016/j.retrec.2020.100823 · Cited by 60
Patient Preferences for Treatment of Low Back Pain—A Discrete Choice Experiment
Kløjgaard, M. E., Manniche, C., Pedersen, L. B., Bech, M., & Søgaard, R. (2014) · Value in Health · doi:10.1016/j.jval.2014.01.005 · Cited by 58
Johnston, R. J., Jarvis, D., Wallmo, K., & Lew, D. K. (2015) · Land Economics · doi:10.3368/le.91.4.739 · Cited by 58
Batarce, M. A., Muñoz, J. C., Ortúzar, J. D. D., Raveau, S., Mojica, C., & Ríos, R. A. (2015) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2535-08 · Cited by 56
Tourists' urban travel modes: Choices for enhanced transport and environmental sustainability
Zhou, H., Chi, X., Norman, R., Zhang, Y., & Song, C. (2024) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2024.104144 · Cited by 59
Habibian, M., & Kermanshah, M. (2013) · Transport Policy · doi:10.1016/j.tranpol.2013.09.009 · Cited by 54
Improving the application of long‐term ecology in conservation and land management
Davies, A. L., Colombo, S., & Hanley, N. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12163 · Cited by 49
Pepermans, G. (2014) · Energy Economics · doi:10.1016/j.eneco.2014.07.011 · Cited by 53
Relationship between service quality and demand for inter-urban buses
Rojo, M., Gonzalo‐Orden, H., dell’Olio, L., & Ibeas, Á. (2012) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2012.07.006 · Cited by 52
Perceived risks of mountain landslides in Italy: stated choices for subjective risk reductions
Thiene, M., Shaw, W. D., & Scarpa, R. (2016) · Landslides · doi:10.1007/s10346-016-0741-3 · Cited by 55
Li, H., Li, X., Xu, X., Liu, J., & Ran, B. (2018) · Transport Policy · doi:10.1016/j.tranpol.2018.06.005 · Cited by 52
Molin, E. J. E., Adjenughwure, K., de Bruyn, M., Cats, O., & Warffemius, P. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.10.017 · Cited by 56
Yáñez, M. F., Cherchi, E., Heydecker, B. G., & Ortúzar, J. D. D. (2010) · Networks and Spatial Economics · doi:10.1007/s11067-010-9143-6 · Cited by 52
Gender Inequality in Safety and Security Perceptions in Railway Stations
Coppola, P., & Silvestri, F. (2021) · Sustainability · doi:10.3390/su13074007 · Cited by 54
The Myth of Contactless Hospitality Service: Customers’ Willingness to Pay
Hao, F., Qiu, R. T. R., Park, J., & Chon, K. (2022) · Journal of Hospitality & Tourism Research · doi:10.1177/10963480221081781 · Cited by 51
Krauss, K., Reck, D. J., & Axhausen, K. W. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104013 · Cited by 50
The landscape of olive groves as a driver of the rural economy
Rodríguez‐Entrena, M., Colombo, S., & Arriaza, M. (2017) · Land Use Policy · doi:10.1016/j.landusepol.2017.03.017 · Cited by 50
Metadata
- Authors
- Rose, J. M., & Bliemer, M. C. J.
- Affiliations
- The University of Sydney (AU)
- Delft University of Technology (NL)
- Corresponding author
- Rose, John M.
- Venue
- Transport Reviews
- Publisher
- Informa UK Limited
- Published
- 2009-09
- Volume
- 29
- Issue
- 5
- Pages
- 587-617
- ISSN
- 0144-1647 (ISSN-L)
- 1464-5327
- OpenAlex
- W2093584567
- Cited by
- 797
- References
- 42
- Citations by year
- 2026: 87 · 2025: 81 · 2024: 80 · 2023: 66 · 2022: 60 · 2021: 68 · 2020: 53 · 2019: 36 · 2018: 49 · 2017: 43 · 2016: 42 · 2015: 34 · 2014: 27 · 2013: 26 · 2012: 15
- FWCI
- 32.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transport Reviews (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- stated choice experiment, orthogonal experimental design, estimator efficiency, sample size reduction, travel behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
