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
Items 401–500 of 795
Caramuta, C., Grosso, A., Longo, G. A., Ricchetti, C., & Rotaris, L. (2025) · Transportation Engineering · doi:10.1016/j.treng.2025.100345 · Cited by 8
Yang, J., Reed, S. D., Hass, S., Skeen, M. B., & Johnson, F. R. (2021) · Medical Decision Making · doi:10.1177/0272989x20979833 · Cited by 8
Methodological Approaches for Workplace Research and Management
Tagliaro, C., Orel, M., & Hua, Y. (2023) · Routledge eBooks · doi:10.1201/9781003289845 · Cited by 8
Research on Choice Preference of Parallel Trains for High-Speed Rail Heterogeneous Passengers
Yang, Y., Zhang, X., Gao, D., Xu, X., & Zheng, B. (2023) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981231192995 · Cited by 8
Jin, C., Wu, C., Song, Y., Liu, T., Li, D., Jiang, R., & Fang, S. (2023) · Journal of Choice Modelling · doi:10.1016/j.jocm.2023.100463 · Cited by 8
How do consumers’ fashion lifestyles differentiate their logistics preferences for fashion products?
Ma, B., Adam, S. W. B., Teo, C., & Wong, Y. D. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103798 · Cited by 12
Passengers’ perception of airlines’ services: Addressing systematic and random variation in tastes
dell’Olio, L., Eboli, L., Fotino, M. P., & Mazzulla, G. (2024) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2024.104329 · Cited by 8
Manipulating a stated choice experiment
Fosgerau, M., & Börjesson, M. B. (2015) · Journal of Choice Modelling · doi:10.1016/j.jocm.2015.09.005 · Cited by 8
Zhang, R., Jian, W., & Li, L. (2019) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198119850151 · Cited by 8
Hansen, T. B., Lindholt, J. S., Diederichsen, A. C. P., & Søgaard, R. (2019) · Patient · doi:10.1007/s40271-019-00364-z · Cited by 8
Coppola, P., dell’Olio, L., & Silvestri, F. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/5530591 · Cited by 8
Morrell, L., Buchanan, J. P., Roope, L. S. J., Pouwels, K. B., Butler, C., Hayhoe, B. W. J., Tonkin-Crine, S. K., McLeod, M. C., Robotham, J. V., Holmes, A. H., et al. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003737 · Cited by 8
Liu, H., Zhang, R., Jian, W., & Zhang, S. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981221097096 · Cited by 8
Abdulkarim, B., Yacob, M. R., Abdullah, A. M., & Radam, A. (2017) · Asian Journal of Economic Modelling · doi:10.18488/journal.8/2017.5.1/8.1.98.109 · Cited by 8
Botha, W., Donnolley, N. R., Shanahan, M., & Chambers, G. M. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020509 · Cited by 9
Lee, S. (2022) · PDXScholar (Portland State University) · doi:10.15760/etd.7865 · Cited by 9
Fifer, S. J., Keen, B., & Porter, A. (2024) · Patient Preference and Adherence · doi:10.2147/ppa.s446106 · Cited by 7
Virtual reality in stated preference survey for walkability assessment
Facchini, G. B., Larrañaga, A. M., Santos, F., Santos, M. P., Nodari, C. T., & García, D. S. P. (2024) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2024.104545 · Cited by 7
Guzmán, L. A., Cantillo-Garcia, V. A., Criado, A., Sarmiento, O. L., & Moncada, C. (2025) · Cities · doi:10.1016/j.cities.2025.106460 · Cited by 7
La pêche professionnelle est-elle un facteur d’attractivité récréative sur le littoral ?
Ropars-Collet, C., Leplat, M., Goffe, P. L., & Lesueur, M. (2015) · Revue économique · doi:10.3917/reco.664.0729 · Cited by 7
Blága, Z., Czine, P., Takács, B., Szilagyi, A., Szekeres, R., Wachal, Z., Hegedűs, C., Buchholcz, G., Varga, B. A., Priksz, D., et al. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20021270 · Cited by 7
Nordmeyer, E. F., Danne, M., & Mußhoff, O. (2023) · Agricultural Systems · doi:10.1016/j.agsy.2023.103718 · Cited by 7
Zeng, Y., Mao, B., Zhang, Y., & Tang, Y. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.138942 · Cited by 7
Zhou, H., Qiao, J., Li, W., Norman, R., & Yao, Z. (2024) · Research in Transportation Economics · doi:10.1016/j.retrec.2024.101494 · Cited by 8
Gutiérrez, M., Hurtubia, R., & Ortúzar, J. D. D. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104395 · Cited by 8
Howard, K., Arendts, G., Jan, S., & Beck, M. J. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001081 · Cited by 7
Raghunandan, R., Howard, K., Marra, C. A., Tordoff, J. M., & Smith, A. J. (2021) · Patient · doi:10.1007/s40271-021-00529-9 · Cited by 10
The willingness to pay for seismic retrofitted buildings: A discrete choice experiment
D’Alpaos, C., & Bragolusi, P. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.102814 · Cited by 9
Khan, M. U., Balbontín, C., Bliemer, M. C. J., & Aslani, P. (2022) · Health Expectations · doi:10.1111/hex.13462 · Cited by 7
Self-citationBadolo, F., Kotu, B. H., Oyinbo, O., Sanogo, K., & Zemadim, B. (2022) · Renewable Agriculture and Food Systems · doi:10.1017/s1742170522000345 · Cited by 8
Implementing web-based discrete choice experiments in transportation
Schatzmann, T., Molloy, J., & Axhausen, K. W. (2024) · Transportation research procedia · doi:10.1016/j.trpro.2023.12.079 · Cited by 7
Possible design-induced artifacts associated with designs for discrete choice experiments
Ribeiro, T., Carson, R. T., Louviere, J. J., & Rose, J. M. (2016) · Journal of Statistical Theory and Practice · doi:10.1080/15598608.2016.1258680 · Cited by 7
Self-citationExploring heterogeneity in willingness to pay for the attributes of higher education institutions
Walsh, S., Cullinan, J., & Flannery, D. J. (2018) · Oxford Economic Papers · doi:10.1093/oep/gpy030 · Cited by 7
Market segmentation approach to investigate existing and potential aviation markets
Zhou, H., Norman, R., Kelobonye, K., Xia, J. C., Hughes, B., Nikolova, G., & Falkmer, T. (2020) · Transport Policy · doi:10.1016/j.tranpol.2020.08.018 · Cited by 13
Zeleke, F., Kassie, G. T., Haji, J., & Legesse, B. (2020) · Journal of International Food & Agribusiness Marketing · doi:10.1080/08974438.2020.1838385 · Cited by 7
Kravchenko, A. (2014) · Journal of Choice Modelling · doi:10.1016/j.jocm.2014.02.002 · Cited by 7
Societal attitudes towards in ovo gender determination as an alternative to chick culling
Reithmayer, C., Danne, M., & Mußhoff, O. (2020) · Agribusiness · doi:10.1002/agr.21650 · Cited by 7
Developing a mode choice model for New Zealand freight transportation.
Kim, H. C. (2014) · UC Research Repository (University of Canterbury) · doi:10.26021/3326 · Cited by 7
The effects of risk preferences on consumers’ reference‐dependent choices for autonomous vehicles
Liang, Y., Qian, L., Lu, Y., & Bektaş, T. (2024) · Risk Analysis · doi:10.1111/risa.17692 · Cited by 5
Cognitive consistency and preferences for alternative fuel vehicles: A latent class model
Domarchi, C., Cherchi, E., & Vuong, Q. C. (2025) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2025.104729 · Cited by 6
Hu, Y., Feng, T., & Li, M. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104520 · Cited by 7
Vichiensan, V., Wasuntarasook, V., Malaitham, S., Fukuda, A., & Rujopakarn, W. (2025) · Sustainability · doi:10.3390/su17156715 · Cited by 6
Wang, B., Lai, T., & Feng, X. (2025) · Food Quality and Preference · doi:10.1016/j.foodqual.2025.105762 · Cited by 6
Italian farmers’ preferences for adopting agriculture 4.0 technologies: A choice experiment analysis
Fragomeli, R., Zawadzki, W., Czajkowski, M., Annunziata, A., & Punzo, G. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.146601 · Cited by 9
Old world assessment of new world provenance cues: An Italian perspective
Agnoli, L., Charters, S., Marks, D., & Tavilla, V. (2023) · International Journal of Market Research · doi:10.1177/14707853231202759 · Cited by 6
Wittevrongel, E., Kessels, R., Everaert, G., Vrijens, M., Danckaerts, M., & van Winkel, R. (2024) · Early Intervention in Psychiatry · doi:10.1111/eip.13584 · Cited by 6
Rossolov, A., Gkavra, R., & Susilo, Y. O. (2024) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2024.101277 · Cited by 6
Maritime services location decisions—an empirical analysis and implications
Li, M., Luo, M., & Wang, J. (2021) · Maritime Policy & Management · doi:10.1080/03088839.2021.1971783 · Cited by 6
Khan, M. U., Balbontín, C., Bliemer, M. C. J., & Aslani, P. (2021) · Journal of Mental Health · doi:10.1080/09638237.2021.1979495 · Cited by 7
Self-citationNotaro, S., Mariel, P., & Hadjichristidis, C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0312256 · Cited by 6
Comparing the State‐of‐the‐Art Efficient Stated Choice Designs Based on Empirical Analysis
Tang, L., Luo, X., Cheng, Y., Yang, F., & Ran, B. (2014) · Mathematical Problems in Engineering · doi:10.1155/2014/740612 · Cited by 6
Kaffashi, S., Shamsudin, M. N., Sidique, S. F., Bazrbachi, A., Radam, A., Rahim, K. A., & Adam, S. U. (2015) · Asian Social Science · doi:10.5539/ass.v12n1p75 · Cited by 5
Larrañaga, A. M., Cybis, H. B. B., Arellana, J., Rizzi, L. I., & Strambi, O. (2016) · Transportes · doi:10.14295/transportes.v24i2.1091 · Cited by 6
Information theoretic-based sampling of observations
van Cranenburgh, S., & Bliemer, M. C. J. (2018) · Journal of Choice Modelling · doi:10.1016/j.jocm.2018.02.003 · Cited by 6
Self-citationManaging groundwater in a mining region: an opportunity to compare best‐worst and referendum data
MacDonald, D. H., Rose, J. M., Johnston, R. J., Bark, R. H., & Pritchard, J. L. (2019) · Australian Journal of Agricultural and Resource Economics · doi:10.1111/1467-8489.12326 · Cited by 7
Self-citationHancock, T. O., Hess, S., Daly, A., & Fox, J. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.07.005 · Cited by 6
Hentschke, C. D. S., Echeveste, M. E. S., Formoso, C. T., & Ribeiro, J. L. D. (2021) · Journal of Housing and the Built Environment · doi:10.1007/s10901-021-09838-9 · Cited by 6
Tapia, R. J., de Jong, G., Larrañaga, A. M., & Cybis, H. B. B. (2021) · Networks and Spatial Economics · doi:10.1007/s11067-021-09531-y · Cited by 6
van der Wulp, I., van den Hout, W. B., de Vries, M., Stiggelbout, A. M., & Marle, M. E. V. D. A. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001021 · Cited by 6
Privatized Provision of Public TransitPreprint
Conwell, L. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4489658 · Cited by 6
Modeling the Determinants of Electric Vehicle Adoption: A Saudi Perspective
Alyamani, R., Pappelis, D., & Kamargianni, M. (2023) · doi:10.30573/ks--2023-dp20 · Cited by 6
Tao, X., & Zhu, L. (2025) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2025.101412 · Cited by 5
A Stated Preference Study to Explore Market-Based Instruments to Reduce Car Usage
Tate, C., Longo, A., Boeri, M., Taylor, T., García, L., & Hunter, R. F. (2025) · Environmental and Resource Economics · doi:10.1007/s10640-025-01005-w · Cited by 5
Mode choice behavior in a tradable mobility credit scheme: A stated-preference experiment
Martínez, S. Á.-O., Schatzmann, T., Loder, A., Axhausen, K. W., & Bogenberger, K. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104570 · Cited by 7
Lee, S. W., & Sharma, A. (2025) · Tourism Economics · doi:10.1177/13548166251391486 · Cited by 6
Habit or constraint? Car commuters' adoption of autonomous ride-hailing: A hybrid choice approach
Delfa, A. L., & Han, Z. (2025) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2025.104480 · Cited by 5
Uncovering mode and parking preferences in the era of autonomous vehicles
Rodríguez, A., Daziano, R. A., Moura, J. L., Delgado-Lindeman, M., & dell’Olio, L. (2025) · Transport Policy · doi:10.1016/j.tranpol.2025.103973 · Cited by 5
Raghunandan, R., & Howard, K. (2023) · Journal of physiotherapy · doi:10.1016/j.jphys.2023.11.004 · Cited by 6
Bartczak, A. M., Budziński, W., Liebe, U., & Meyerhoff, J. (2024) · Energy Economics · doi:10.1016/j.eneco.2024.107978 · Cited by 5
Amini, A. A., Riahi, M. T. M., & Hasanpoori, M. (2025) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2025.140735 · Cited by 5
RetractedEppink, F. V., Walsh, P. J., & MacDonald, E. A. (2021) · Ecology and Society · doi:10.5751/es-12301-260131 · Cited by 5
Shen, J., Liu, H., & Zhang, R. (2022) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc55140.2022.9922460 · Cited by 5
Nguyen, H. T. T., Vo, T. Q., Tran, H. T. B., Nguyen, B. T., Nguyen, H. T., Nguyen, T. D., & Anuratpanich, L. (2022) · The International Journal of Health Planning and Management · doi:10.1002/hpm.3597 · Cited by 5
Policies to reduce local participation in illegal hunting: The case of Kafue National Park in Zambia
Mutti, S. M., Jourdain, D., Karuaihe, S. T., Lundhede, T., & Mungatana, E. D. (2023) · Ecological Economics · doi:10.1016/j.ecolecon.2023.107762 · Cited by 5
Estimating the impact of behavior heterogeneity on airfare choices
Wang, J., & Luo, M. (2023) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2023.102406 · Cited by 5
The Influence of Ambient Weather Conditions on Stated Preferences for Ecosystem Services Management
Notaro, S., & Grilli, G. (2023) · Environmental Management · doi:10.1007/s00267-023-01839-4 · Cited by 5
Fujiwara, K., Varghese, V., Chikaraishi, M., Maruyama, T., & Fujiwara, A. (2023) · Transportation · doi:10.1007/s11116-023-10435-8 · Cited by 5
Shah, N. R., Parajuli, S., & Cherry, C. (2024) · Journal of Cycling and Micromobility Research · doi:10.1016/j.jcmr.2024.100037 · Cited by 5
Post-car world: Survey methods and response behavior in the pre-test
Schmid, B., Balać, M., & Axhausen, K. W. (2015) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000113449 · Cited by 5
A Monte Carlo study of design-generating algorithms for the latent class mixed logit model
Falke, A., & Hruschka, H. (2017) · OR Spectrum · doi:10.1007/s00291-017-0483-1 · Cited by 5
Rambonilaza, T., Pham, T., & Dachary-Bernard, J. (2019) · Revue économique · doi:10.3917/reco.705.0695 · Cited by 5
Iles, R. A., Choi, Y., Kagundu, S., & Gatumu, H. N. (2022) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2022.105592 · Cited by 5
Yugihartiman, M., Budiono, B., Setiawan, M., & Hidayat, A. K. (2023) · Sustainability · doi:10.3390/su15108104 · Cited by 5
Modeling Airport Choice Using a Latent Class Logit Model
dell’Olio, L., Rodríguez, A., & Sipone, S. (2023) · Aerospace · doi:10.3390/aerospace10080703 · Cited by 7
Hidayati, L. N. N., de Jong, G., & Whiteing, A. E. (2024) · Asian Transport Studies · doi:10.1016/j.eastsj.2023.100122 · Cited by 5
Krucien, N., Pelletier‐Fleury, N., & Gafni, A. (2018) · PharmacoEconomics · doi:10.1007/s40273-018-0751-1 · Cited by 5
Hasnine, M. S., Rashedi, Z., & Habib, K. N. (2019) · Transportation Letters · doi:10.1080/19427867.2019.1585687 · Cited by 5
Koundouri, P., Riccardo Scarpa, A., & Stithou, M. (2013) · Global issues in water policy · doi:10.1007/978-94-007-7636-4_6 · Cited by 5
Making Way for the Car: Minimum Parking Requirements and Porirua City Centre
Hulme-Moir, A. (2010) · doi:10.26686/wgtn.16973812.v1 · Cited by 5
The adoption of electric vehicles: behavioural and technological factors
Jabeen, F. (2016) · UWA Profiles and Research Repository (UWA) · doi:10.4225/23/59a66a97346a3 · Cited by 5
Consumer preferences and willingness to pay for data privacy in automated vehicles
Huang, Y., & Qian, L. (2025) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104585 · Cited by 5
Zabala, J. A., Albaladejo‐García, J. A., Alcón, F., & Paz, J. M. M. (2025) · Spanish Journal of Agricultural Research · doi:10.5424/sjar/2025232-21559 · Cited by 4
Nieto-Villegas, R., Maró, Z. M., Péter, C., Rabadán, A., & Török, Á. (2026) · Future Foods · doi:10.1016/j.fufo.2026.100941 · Cited by 4
Algorithmic Transparency and Consumer Trade-Offs in AI-Based Financial E-Commerce Services
Choi, J., Kang, S., Moon, J., Jeon, S., & Lim, S. (2026) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer21030086 · Cited by 6
Missaoui, S., Rahmani, D., Thabet, C., Feás, J., Roig, J. M. G., & Akaichi, F. (2023) · Frontiers in Environmental Economics · doi:10.3389/frevc.2023.1234249 · Cited by 7
Ross, M., Chung, Y., Carr, T. F., Ambrose, C. S., Lindsley, A., Collacott, H., Schulz, A., Desai, P., Rane, P., Williams, M. R., et al. (2024) · Journal of Asthma · doi:10.1080/02770903.2024.2380520 · Cited by 5
Railway pricing for automobile transport based on discrete choice model and cost accounting
Shen, J., Liu, H., & Zhang, R. (2025) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2025.101295 · Cited by 4
Zhu, H., Luo, X., Li, Y., Zhu, Y., & Huang, Q. (2017) · Advances in Mechanical Engineering · doi:10.1177/1687814017691894 · Cited by 4
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
