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Journal articles on the topic 'Integrated Choice and Latent Variable'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Chen, Jian, and Shoujie Li. "Mode Choice Model for Public Transport with Categorized Latent Variables." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7861945.

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Mode choice model for public transport, which integrates structural equation model (SEM) and discrete choice model (DCM) with categorized latent variables, was presented in this paper. Apart from identifying those important latent variables that affect mode choice for public transport, the objective of this study was also to develop an improved disaggregative model that better explains travel behavior of those decision-makers in choosing public transport. After extensive observations, selective latent variable sets which consist of latent variable components were chosen together with explicit

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Mahpour, Alireza, Amirreza Mamdoohi, Taha HosseinRashidi, Basil Schmid, and Kay W. Axhausen. "Shopping destination choice in Tehran: An integrated choice and latent variable approach." Transportation Research Part F: Traffic Psychology and Behaviour 58 (October 2018): 566–80. http://dx.doi.org/10.1016/j.trf.2018.06.045.

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Politis, Ioannis, Panagiotis Papaioannou, and Socrates Basbas. "Integrated Choice and Latent Variable Models for evaluating Flexible Transport Mode choice." Research in Transportation Business & Management 3 (August 2012): 24–38. http://dx.doi.org/10.1016/j.rtbm.2012.06.007.

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Soto, Jose J., Luis Márquez, and Luis F. Macea. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach." Transportation Research Part A: Policy and Practice 111 (May 2018): 65–77. http://dx.doi.org/10.1016/j.tra.2018.03.003.

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Capurso, Mauro, Stephane Hess, and Thijs Dekker. "Stated consideration and attribute thresholds in mode choice models: a hierarchical ICLV approach." European Journal of Transport and Infrastructure Research 21, no. 3 (2021): 106–23. http://dx.doi.org/10.18757/ejtir.2021.21.3.3982.

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Consideration of alternatives, as many other aspects related to the decision-making process, is not observable and challenging to measure. Even when supplementary information is collected during stated choice experiments, its use as an additional explanatory variable is discouraged due to potential endogeneity issues, measurement error and limited suitability for forecasting. To overcome these limitations, we propose an Integrated Choice and Latent Variable model where consideration of an alternative is treated as a latent variable. The novelty of the presented model is that the latent variabl

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Chen, Ching-Fu, Chiang Fu, and Pei-Ya Siao. "Exploring electric moped sharing preferences with integrated choice and latent variable approach." Transportation Research Part D: Transport and Environment 121 (August 2023): 103837. http://dx.doi.org/10.1016/j.trd.2023.103837.

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Mohiuddin, Hossain, Md Musfiqur Rahman Bhuiya, Shaila Jamal, and Zhi Chen. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models." Sustainability 14, no. 22 (2022): 14784. http://dx.doi.org/10.3390/su142214784.

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Bangladesh has emphasized active transportation in its transportation policies and has encouraged its population, especially the youth and students, towards bicycling. However, there is a scarcity of studies that have examined the factors important to the choice of active transportation that can be referenced to support the initiative. To address this research gap, in this study, we explore the influence of sociodemographics and latent perceptions of a built environment on the choice to walk and bicycle among students and nonstudents in Rajshahi, Bangladesh. In Rajshahi, we conducted a househo

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8

Sohn, Keemin. "An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model." Transportation Science 51, no. 3 (2017): 946–67. http://dx.doi.org/10.1287/trsc.2016.0696.

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Vij, Akshay, and Joan L. Walker. "How, when and why integrated choice and latent variable models are latently useful." Transportation Research Part B: Methodological 90 (August 2016): 192–217. http://dx.doi.org/10.1016/j.trb.2016.04.021.

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10

Chae, Dasol, Jaeyoung Jung, and Keemin Sohn. "Facilitating an expectation-maximization (EM) algorithm to solve an integrated choice and latent variable (ICLV) model with fully correlated latent variables." Journal of Choice Modelling 26 (March 2018): 64–79. http://dx.doi.org/10.1016/j.jocm.2017.08.001.

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11

Yeh, Ching-Hua, Monika Hartmann, Matthew Gorton, Barbara Tocco, Virginie Amilien, and Kamilla Knutsen Steinnes. "Looking behind the choice of organic: A cross-country analysis applying Integrated Choice and Latent Variable Models." Appetite 167 (December 2021): 105591. http://dx.doi.org/10.1016/j.appet.2021.105591.

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12

Jiao, Pengpeng, Meiqi Liu, and Jin Guo. "Integrated Model of Joint Residence-Workplace Location Choice and Commute Behavior Using Latent Class and Mixed Logit Methods." Discrete Dynamics in Nature and Society 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/251781.

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With the rapid development of urbanization and motorization, urban commute trips are becoming increasingly serious due to the unbalanced distribution of residence and workplace land-use types in most Chinese cities. To explore the inherent interrelations among residence location, workplace, and commute trip, an integrated model framework of joint residence-workplace location choice and commute behavior is put forward based on the personal trip survey data of Beijing in 2005. First, to extract households’ different choice characteristics, this paper presents a latent class model, clusters all h

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Sok, Jaap, Ivo A. van der Lans, Henk Hogeveen, Armin R. W. Elbers, and Alfons G. J. M. Oude Lansink. "Farmers’ Preferences For Bluetongue Vaccination Scheme Attributes: An Integrated Choice and Latent Variable Approach." Journal of Agricultural Economics 69, no. 2 (2017): 537–60. http://dx.doi.org/10.1111/1477-9552.12249.

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14

Jin, Zhicheng, Hao Li, Di Chen, Lu Yu, and Huizhao Tu. "Accounting for BEV Users’ Risk Attitudes and Charging Inertia in En Route Charging Choice Behavior." Journal of Advanced Transportation 2024 (May 2, 2024): 1–17. http://dx.doi.org/10.1155/2024/9926334.

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This paper innovatively explores BEV (battery electric vehicle) users’ risk attitudes and charging inertia, examining their effects on en route charging and charging route choice behavior. An attitudinal survey was conducted to explore the two latent variables of risk attitudes and charging inertia in relation to socioeconomic and travel-related characteristics. ICLV (Integrated choice and latent variable) models are adopted to estimate the latent variables and the charging choice behavior simultaneously. Specifically, uncertainty in energy consumption is first considered in the ICLV model, wh

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Abdulhussein, Azaldeen Ali, and Abeer Khudhur Jameel. "Involving Infrastructure as a Latent Variable in Active Transportation Mode Choice: The Case Study of Baghdad City." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18585–91. https://doi.org/10.48084/etasr.8616.

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Infrastructural developments have been implemented with the objective of promoting active transportation as a sustainable transportation mode, including the construction of cycling and walking routes and the improvement of existing infrastructure. The impact of this factor on ridership has been a subject of research, and the incorporation of this variable into mode choice models has also been contemplated. Nevertheless, road users’ perception regarding the utilization of these infrastructures has yet to be investigated. Accordingly, this research aims to examine the role of infrastructure prov

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Kim, Junghwan, and Bumsoo Lee. "Campus commute mode choice in a college town: An application of the integrated choice and latent variable (ICLV) model." Travel Behaviour and Society 30 (January 2023): 249–61. http://dx.doi.org/10.1016/j.tbs.2022.10.002.

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Kamargianni, Maria, Subodh Dubey, Amalia Polydoropoulou, and Chandra Bhat. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model." Transportation Research Part A: Policy and Practice 78 (August 2015): 473–88. http://dx.doi.org/10.1016/j.tra.2015.06.011.

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18

Gong, Lei, Tianxu Wang, Tian Lei, Qin Luo, Zhu Han, and Yihong Mo. "Daily Travel Mode Choice Considering Carbon Credit Incentive (CCI)—An Application of the Integrated Choice and Latent Variable (ICLV) Model." Sustainability 15, no. 20 (2023): 14809. http://dx.doi.org/10.3390/su152014809.

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There have been many implementations of carbon credit incentives (CCIs) for promoting green travel, but research on quantifying the effectiveness remains limited. To fill this gap, this study focuses on residents’ daily transportation mode choices under the incentive of carbon credits by employing an integrated choice and latent variable (ICLV) model to adequately address the role of attitudinal variables related to carbon credits, such as perceived usefulness, perceived ease of use, and behavioral intentions. Data from a questionnaire survey show that the ICLV model provides a richer and more

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Kim, Gyeongjun, Yeseul Kang, and Keemin Sohn. "Variational inference for high-dimensional integrated choice and latent variable (ICLV) models within a Bayesian framework." Transportation Research Part C: Emerging Technologies 174 (May 2025): 105023. https://doi.org/10.1016/j.trc.2025.105023.

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Jing, Yun, Wanglin Xu, Siye Guo, and Yingjin Zhang. "Analysis of Choice Behaviors of Railway Shippers for Freight Services Based on a Fuzzy Integrated Choice and Latent Variable Model." IEEE Access 8 (2020): 64399–410. http://dx.doi.org/10.1109/access.2020.2984626.

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21

Li, Jun, Shunping Jia, Sijia Zhang, and Yuqiong Wang. "Modeling and Analysis of Ticketing Channel Choice for Intercity Bus Passengers: A Case Study in Beijing, China." Journal of Advanced Transportation 2019 (August 8, 2019): 1–14. http://dx.doi.org/10.1155/2019/8198346.

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Buses represent the main mode for intercity passenger transportation in China. In recent years, a multichannel ticketing strategy has been widely employed in the bus passenger transportation industry. However, the mechanisms and key drivers of the channels through which bus passengers purchase tickets are underexplored. Thus, the aim of this study is to empirically apply an integrated choice and latent variable (ICLV) approach to analyze ticketing channel choice behavior and the heterogeneous preferences of bus passengers. The variables incorporated in the model include the socioeconomic chara

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22

Cheng, Long, Xuewu Chen, William H. K. Lam, Shuo Yang, and Pengfei Wang. "Improving Travel Quality of Low-Income Commuters in China." Transportation Research Record: Journal of the Transportation Research Board 2605, no. 1 (2017): 99–108. http://dx.doi.org/10.3141/2605-10.

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Low-income residents can depend on fewer travel options and have restricted mobility. This paper analyzes low-income commuters’ mode choice behavior by using data from an activity-based travel survey in Fushun, China. An integrated choice and latent variable model is presented. The model uses the following latent attitudes: comfort, convenience, reliability, flexibility, safety, and environmental preferences. The inclusion of attitudes captures unobserved heterogeneity of the choice process with a better understanding of travel demands. Postestimation of the integrated model is applied to asse

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23

Maia, Ana Cecília Lima, and Mário Angelo Nunes De Azevedo Filho. "Research instruments and data analysis for mode choice in travel within the university environment." Caderno Pedagógico 21, no. 1 (2024): 447–82. http://dx.doi.org/10.54033/cadpedv21n1-022.

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This article reviews recent literature on data collection and analysis procedures regarding modal choice in university travel. The review method included the search, selection, and critical analysis of studies published in indexed journals in the bibliographic databases between 2018 and 2023. While most studies utilized online questionnaires, there was some adherence to in-person surveys. Strategies such as social media promotion and prize incentives have been employed. Regarding analysis tools, it was observed that most studies employ quantitative approaches, including statistical tests, disc

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Bergantino, Angela S., Mauro Capurso, Thijs Dekker, and Stephane Hess. "Allowing for Heterogeneity in the Consideration of Airport Access Modes: The Case of Bari Airport." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (2019): 50–61. http://dx.doi.org/10.1177/0361198118825126.

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Mode choice models traditionally assume that all objectively available alternatives are considered. This might not always be a reasonable assumption, even when the number of alternatives is limited. Consideration of alternatives, like many other aspects of the decision-making process, cannot be observed by the analyst, and can only be imperfectly measured. As part of a stated choice survey aimed at unveiling air passengers’ preferences for access modes to Bari International Airport in Italy, we collected a wide set of indicators that either directly or indirectly measure respondents’ considera

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25

Wang, Shunchao, and Zhanguo Song. "Exploring the behavioral stage transition of traveler's adoption of carsharing: An integrated choice and latent variable model." Journal of Choice Modelling 51 (June 2024): 100477. http://dx.doi.org/10.1016/j.jocm.2024.100477.

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26

Enam, Annesha, Karthik C. Konduri, Abdul R. Pinjari, and Naveen Eluru. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choices." Journal of Choice Modelling 26 (March 2018): 80–100. http://dx.doi.org/10.1016/j.jocm.2017.07.003.

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27

Otter, Thomas, Greg M. Allenby, and Trish Van Zandt. "An Integrated Model of Discrete Choice and Response Time." Journal of Marketing Research 45, no. 5 (2008): 593–607. http://dx.doi.org/10.1509/jmkr.45.5.593.

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Computer and Web-based interviewing tools have made response times ubiquitous in marketing research. Practitioners use these data as an indicator of data quality, and academics use them as an indicator of latent processes related to memory, attributes, and decision making. The authors investigate a Poisson race model with choice and response times as dependent variables. The model facilitates inference about respondents' preferences for choice alternatives, their diligence in providing responses, and the accessibility of attitudes and the speed of thinking. Thus, the model distinguishes betwee

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Sarman, Igor, Riccardo Curtale, and Homa Hajibaba. "Drivers of Travel Insurance Purchase." Journal of Travel Research 59, no. 3 (2019): 545–58. http://dx.doi.org/10.1177/0047287519843187.

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With the increasing number of critical events happening at tourism destinations, travelers engage in different strategies to reduce travel risks, and travel insurance purchase is one of these. However, little is known about travel insurance purchase behavior despite its relevance in the modern context of travelers’ heightened alert induced by potential or actual risks of critical events. The present study applies an Integrated Choice and Latent Variable (ICLV) model to investigate individual insurance purchase decisions in a leisure travel context. A mix of sociodemographic covariates, travel-

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29

Fu, Xuemei, and Zhicai Juan. "Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches." Transportation 44, no. 1 (2015): 91–116. http://dx.doi.org/10.1007/s11116-015-9626-x.

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Papadimitriou, Eleonora, Sylvain Lassarre, George Yannis, and Dimitrios I. Tselentis. "Road, Traffic, and Human Factors of Pedestrian Crossing Behavior: Integrated Choice and Latent Variables Models." Transportation Research Record: Journal of the Transportation Research Board 2586, no. 1 (2016): 28–38. http://dx.doi.org/10.3141/2586-04.

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Liu, Yicong, Patrick Loa, Kaili Wang, and Khandker Nurul Habib. "Theory-driven or data-driven? Modelling ride-sourcing mode choices using integrated choice and latent variable model and multi-task learning deep neural networks." Journal of Choice Modelling 48 (September 2023): 100431. http://dx.doi.org/10.1016/j.jocm.2023.100431.

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32

Sandorf, Erlend Dancke, Lars Persson, and Thomas Broberg. "Using an integrated choice and latent variable model to understand the impact of “professional” respondents in a stated preference survey." Resource and Energy Economics 61 (August 2020): 101178. http://dx.doi.org/10.1016/j.reseneeco.2020.101178.

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Abate, Tenaw G., Tobias Börger, Margrethe Aanesen, Jannike Falk-Andersson, Kayleigh J. Wyles, and Nicola Beaumont. "Valuation of marine plastic pollution in the European Arctic: Applying an integrated choice and latent variable model to contingent valuation." Ecological Economics 169 (March 2020): 106521. http://dx.doi.org/10.1016/j.ecolecon.2019.106521.

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34

Ma, Jie, Xin Ye, and Kun Huang. "Development of Integrated Choice and Latent Variable (ICLV) Models Using Matrix-Based Analytic Approximation and Automatic Differentiation Methods on TensorFlow Platform." Journal of Advanced Transportation 2022 (August 2, 2022): 1–19. http://dx.doi.org/10.1155/2022/6556282.

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This study further explores the multinomial probit-based integrated choice and latent variable (ICLV) models. The LDLT matrix-based analytic approximation methods, including Mendell and Elston (ME) method, bivariate ME (BME) method, and two-variate bivariate screening (TVBS) method, were adapted to calculate the multivariate cumulative normal distribution (MVNCD) function in the ICLV model because of the better performances in accuracy and computational time. Integrated with the composite marginal likelihood (CML) estimation approach, the ICLV model based on high-dimensional integration can be

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Jiang, Rui, Zhen Li, Yuhang Jia, Siyu Li, and Shengquan Chen. "SINFONIA: Scalable Identification of Spatially Variable Genes for Deciphering Spatial Domains." Cells 12, no. 4 (2023): 604. http://dx.doi.org/10.3390/cells12040604.

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Recent advances in spatial transcriptomics have revolutionized the understanding of tissue organization. The identification of spatially variable genes (SVGs) is an essential step for downstream spatial domain characterization. Although several methods have been proposed for identifying SVGs, inadequate ability to decipher spatial domains, poor efficiency, and insufficient interoperability with existing standard analysis workflows still impede the applications of these methods. Here we propose SINFONIA, a scalable method for identifying spatially variable genes via ensemble strategies. Impleme

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Lee, Gyeongjae, Sujae Kim, Jahun Koo, and Sangho Choo. "Exploring Psychological Factors Influencing the Adoption of Sustainable Public Transit Considering Preference Heterogeneity." Sustainability 16, no. 18 (2024): 7924. http://dx.doi.org/10.3390/su16187924.

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Carbon emission reduction strategies are being implemented in the transportation sector by encouraging the adoption of eco-friendly vehicles and introducing demand management policies such as Mobility as a Service (MaaS). Nevertheless, the efficacy of MaaS in reducing carbon emissions remains uncertain. This study introduces Sustainable Public Transit (SPT) as a public transit alternative consisting of only green modes to promote sustainability. We explore the preferences of SPT in a commuting context, incorporating individual preference heterogeneity in a discrete choice model. We systematica

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Alemu, Mohammed H., and Søren B. Olsen. "Linking Consumers’ Food Choice Motives to their Preferences for Insect-based Food Products: An Application of Integrated Choice and Latent Variable Model in an African Context." Journal of Agricultural Economics 70, no. 1 (2018): 241–58. http://dx.doi.org/10.1111/1477-9552.12285.

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38

Potoglou, Dimitris, Juan-Francisco Palacios, and Claudio Feijóo. "An integrated latent variable and choice model to explore the role of privacy concern on stated behavioural intentions in e-commerce." Journal of Choice Modelling 17 (December 2015): 10–27. http://dx.doi.org/10.1016/j.jocm.2015.12.002.

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Mao, Biqi, Changlin Ao, Yang Cheng, Nan Jiang, and Lishan Xu. "Exploring the role of public risk perceptions on preferences for air quality improvement policies: An integrated choice and latent variable approach." Journal of Cleaner Production 269 (October 2020): 122379. http://dx.doi.org/10.1016/j.jclepro.2020.122379.

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Yeh, Ching-Hua, and Monika Hartmann. "To Purchase or Not to Purchase? Drivers of Consumers’ Preferences for Animal Welfare in Their Meat Choice." Sustainability 13, no. 16 (2021): 9100. http://dx.doi.org/10.3390/su13169100.

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This study investigates the relevance of psychological constructs in determining consumer intention to buy and Willingness-To-Pay (WTP) for a processed meat product, cured ham, differentiated by the attributes of animal welfare, ham variety, and price. Data obtained from an online survey conducted in Germany was used to estimate an integrated choice and latent variable (ICLV) model, which is based on an extension of the Theory of Planned Behavior (TPB) framework. There are two consumer segments that are identified: one that is highly price sensitive in its product choice and one that gives rou

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Ding, Chuan, Chao Liu, Yaoyu Lin, and Yaowu Wang. "The Impact of Employer Attitude to Green Commuting Plans on Reducing Car Driving: A Mixed Method Analysis." PROMET - Traffic&Transportation 26, no. 2 (2014): 109–19. http://dx.doi.org/10.7307/ptt.v26i2.1332.

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Reducing car trips and promoting green commuting modes are generally considered important solutions to reduce the increase of energy consumption and transportation CO2 emissions. One potential solution for alleviating transportation CO2 emissions has been to identify a role for the employer through green commuter programs. This paper offers an approach to assess the effects of employer attitudes towards green commuting plans on commuter mode choice and the intermediary role car ownership plays in the mode choice decision process. A mixed method which extends the traditional discrete choice mod

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Zudhy Irawan, Muhammad, Prawira Fajarindra Belgiawan, and Tri Basuki Joewono. "Investigating the effects of individual attitudes and social norms on students’ intention to use motorcycles – An integrated choice and latent variable model." Travel Behaviour and Society 28 (July 2022): 50–58. http://dx.doi.org/10.1016/j.tbs.2022.02.009.

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Chao, Zeng, Cui Zihao, and Qiao Hao. "Time-Domain Characteristics of Residential Parking and SEM-BL Integration Model of Parking Method Choice Behaviour." Mathematical Problems in Engineering 2022 (July 5, 2022): 1–15. http://dx.doi.org/10.1155/2022/5164257.

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Correct understanding of the residential parking characteristics and parking behavioral regularities is important to the planning of parking facilities, the selection of parking equipment, and the formulation of parking management measures in residential areas. There are few in-depth reports on the time domain characteristics of the residential parking and the parking choice behavior of developers and drivers. Besides, the influence of developers’ potential demands and drivers’ mental latent variables on the results of parking choice has been ignored. To address the gap, in this paper, we prop

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Shah, Bharvi A., L. B. Zala, and Nipa A. Desai. "An integrated estimation approach to incorporate latent variables through SEM into discrete mode choice models to analyze mode choice attitude of a rider." Transportation Research Interdisciplinary Perspectives 19 (May 2023): 100819. http://dx.doi.org/10.1016/j.trip.2023.100819.

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Soto, Jose, Mauricio Orozco-Fontalvo, and Sergio A. Useche. "Public transportation and fear of crime at BRT Systems: Approaching to the case of Barranquilla (Colombia) through integrated choice and latent variable models." Transportation Research Part A: Policy and Practice 155 (January 2022): 142–60. http://dx.doi.org/10.1016/j.tra.2021.11.001.

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Piendl, Raphael, Martin Koning, Francois Combes, and Gernot Liedtke. "Building latent segments of goods to improve shipment size modelling: Confirmatory evidence from France." European Journal of Transport and Infrastructure Research 22, no. 2 (2022): 22–52. http://dx.doi.org/10.18757/ejtir.2022.22.2.5662.

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Freight transport demand models are generally based on administrative commodity type segmentation which are usually not tailored to behavioral freight transport demand modelling. Recent literature has explored new approaches to segment freight transport demand, notably based on latent class analysis, with promising results. In particular, empirical evidence from road freight transport modelling in Germany hints at the importance of conditioning and handling constraints as a sound basis for segmentation. However, this literature is currently sparse and based on small samples. Before it can be a

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Polydoropoulou, Amalia, Dinesh A. Gopinath, and Moshe Ben-Akiva. "Willingness To Pay for Advanced Traveler Information Systems: SmarTraveler Case Study." Transportation Research Record: Journal of the Transportation Research Board 1588, no. 1 (1997): 1–9. http://dx.doi.org/10.3141/1588-01.

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The issue of travelers' adoption of an advanced traveler information system (ATIS) and willingness to pay for such information services is addressed. A case study is presented of SmarTraveler, an ATIS that provides, via telephone, real-time location-specific traffic and transit information in the greater Boston area. The model is an integrated system of discrete choice and latent variable models. It predicts travelers' frequency of use and subscription under varying pricing scenarios. Two models are presented: one for current SmarTraveler users, and one for nonusers. The SmarTraveler usage rat

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Rahimi, Alireza, Ghazaleh Azimi, and Xia Jin. "What Drives Commuters to Pay for Autonomous Vehicles?" Transportation Research Record: Journal of the Transportation Research Board 2676, no. 4 (2021): 267–80. http://dx.doi.org/10.1177/03611981211058095.

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Although commuters have been identified as potential early adopters of autonomous vehicles (AVs) that can boost the adoption rate of this technology, there is a lack of knowledge on their willingness to pay (WTP) for this technology and the attitude that influences this decision. Using data from a consumer survey conducted in the United States, this study presents a comprehensive analysis of the decision to pay for AVs among commuters. An integrated choice and latent variable (ICLV) model was applied in this study, considering its robust performance in modeling choice behavior for integrating

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Friedmann, Enav, and Oded Lowengart. "The context of choice as boundary condition for gender differences in brand choice considerations." European Journal of Marketing 52, no. 5/6 (2018): 1280–304. http://dx.doi.org/10.1108/ejm-08-2017-0524.

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Purpose Marketers often assume that functional, hedonic and socially conspicuous utilities in choosing a brand differ for men and women, thus different marketing strategies are required for each gender. To date, most of the research studies have used self-reported measures when shopping in general or in regard to a single product. The purpose of this research is to examine this question using two different contexts of brand choice: single choice evaluation (SCE) and brand selection context (BSC). This assessment will clarify whether male and female utilities when choosing a brand are indeed in

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Tsirimpa, Athena, and Amalia Polydoropoulou. "The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area." International Journal of Operations Research and Information Systems 5, no. 2 (2014): 1–20. http://dx.doi.org/10.4018/ijoris.2014040101.

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The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the prob

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