Showing 221 - 240 results of 410 for search '"Discrete Choice Modelling"', query time: 1.01s Refine Results
  1. 221

    Factors and incentives that affect electric vehicle adoption in Greece by Georgia Mpoi, Christina Milioti, Lambros Mitropoulos

    Published 2023-12-01
    “…In order to analyze the factors that affect the consumers’ intention to purchase private electric vehicles in Attica a questionnaire survey was conducted. Discrete choice models were developed to analyze the factors that influence the intention of users to purchase and willingness to pay extra for an EV compared to a conventional car. …”
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    Article
  2. 222

    Modeling tourist's mode choice behavior under parking and cordon charge policies by Azari, Kian Ahmadi, Arintono, Sulistyo, Hamid, Hussain

    Published 2011
    “…With respect to the research methodology, this research employs econometric model, discrete choice model. Using a stated preference survey of visitors, the results presented that travel time, parking fare, cordon cost, education levels and vehicle price type are characteristics in Mashhad city that determine tourist's modal choice and influence the modal shift from congestion pricing in central business area. …”
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    Conference or Workshop Item
  3. 223

    Optimizing Inventory and Pricing for Substitute Products with Soft Supply Constraints by Armando Meza, Paolo Latorre, Milena Bonacic, Héctor López-Ospina, Juan Pérez

    Published 2024-06-01
    “…The model maximizes profit, considering production costs and inventory maintenance. It uses a discrete choice model to represent demand, sensitivity to price, availability, and changing preferences. …”
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    Article
  4. 224

    Explaining success and failures in PPP transport projects: an econometric approach by Lourdes Trujillo, Federico Inchausti-Sintes, Javier Campos, Casiano Manrique-de-Lara-Peñate

    Published 2018-09-01
    “…Each variable is modeled in a binary way (using discrete choice models), with each model estimating the relevance of various explanatory factors on the probability of success. …”
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    Article
  5. 225

    Limitations of social prescribing to help prevent isolation and loneliness by Takayuki Uchihira, Kazunori Nakajima

    Published 2023-01-01
    “…By comparing the marginal effects of social prescriptions on those with four types of isolation and loneliness status through the discrete choice model, we discovered that social prescriptions that contribute to the prevention of isolation and loneliness differ according to individuals by isolation and loneliness status. …”
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    Article
  6. 226

    HOUSEHOLD DECISION ANALYSIS ON ANIMAL PROTEIN FOOD CONSUMPTION: EVIDENCE FROM D.I YOGYAKARTA PROVINCE by Mujtahidah Anggriani Ummul Muzayyanah, Sudi Nurtini, Rini Widiati, Suci Paramitasari Syahlani, Tri Anggraeni Kusumastuti

    Published 2017-05-01
    “…Household expenditure data were used in this study. Discrete choice model is used to measure household decision in consuming these foods. …”
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    Article
  7. 227

    Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence by Antonio Comi, Antonio Polimeni

    Published 2021-11-01
    “…Thus, the main goal of the study is to calibrate a discrete choice model to estimate the number of stops/deliveries per tour by using FCD, which can be incorporated in a planning procedure for obtaining a preliminary assessment of parking demand. …”
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    Article
  8. 228
  9. 229

    Change of Scale and Forecasting with the Control-Function Method in Logit Models by Guevara, Cristian Angelo, Ben-Akiva, Moshe E.

    Published 2013
    “…The control-function method is the most suitable tool to address endogeneity for several discrete choice models that are relevant in transportation research. …”
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    Article
  10. 230

    What does Uber bring for consumers? by Jiehong Qiu

    Published 2021-06-01
    “…Assuming unchanged preferences of consumers, we use the coefficients of the discrete-choice model to reveal passengers' demand on different transportation modes in 2017. …”
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    Article
  11. 231

    Farmers’ Income Risks and Marketing Channel Choices: Case of Date Palm Processing in Biskra, Algeria by Mohamed Amine Benmehaia

    Published 2019-09-01
    “…Beside some basic statistical tools, a multinomial discrete choice model was used to analyze and evaluate the major factors affecting marketing channel choices. …”
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    Article
  12. 232

    Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data by Buckell, J, Hess, S

    Published 2019
    “…In health, stated preference data from discrete choice experiments (DCEs) are commonly used to estimate discrete choice models that are then used for forecasting behavioral change, often with the goal of informing policy decisions. …”
    Journal article
  13. 233

    Essays in Econometrics: Nonparametrics and Robustness by Deaner, Ben

    Published 2022
    “…Estimation and inference in dynamic discrete choice models often relies on approximation to lower the computational burden of dynamic programming. …”
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    Thesis
  14. 234

    Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems by Cristiano Franceschinis, Riccardo Scarpa, Mara Thiene, John Rose, Michele Moretto, Raffaele Cavalli

    Published 2016-05-01
    “…The estimation and policy use of spatially explicit discrete choice models has yet to receive serious attention from practitioners. …”
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    Article
  15. 235

    The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking by Andrew G. Mueller, Daniel J. Trujillo

    Published 2019-01-01
    “…Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. …”
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    Article
  16. 236

    A Bayesian Network Modeling for Departure Time Choice: A Case Study of Beijing Subway by Xian Li, Haiying Li, Xinyue Xu

    Published 2018-11-01
    “…A real-world case study of Beijing subway is illustrated, which proves that the proposed model has higher prediction accuracy than typical discrete choice models. Another key finding indicates that subway fare discount higher than 20% will motivate some passengers to depart 15 to 20 minutes earlier and release the pressure of crowding during morning peak hours.…”
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    Article
  17. 237

    Identification and Estimation of a Discrete Game of Complete Information by Bajari, Patrick, Hong, Han, Ryan, Stephen

    Published 2011
    “…Following Bresnahan and Reiss (1990, 1991), a discrete game is a generalization of a standard discrete choice model where utility depends on the actions of other players. …”
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    Article
  18. 238

    Mean Velocity Prediction Information Feedback Strategy in Two-Route Systems under ATIS by Jianqiang Wang, Yingdong Liu

    Published 2015-02-01
    “…Furthermore, prediction results of mean velocity are taken as feedback contents and displayed on a variable message sign to guide travelers' route-choice. Meanwhile, discrete choice model (Logit model) is selected to imitate more appropriately travelers' route-choice behavior. …”
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    Article
  19. 239

    Housing Tenure Choice of Low-Income Household in Jabodetabek by Djoni Hartono, Reza A Budiman, Sasmita H Hastuti

    Published 2020-02-01
    “…A sample of 1030 samples was obtained using the stratification sampling method, of which 638 are households had rental status (taking households with the lowest level of welfare between 10-40%) in the Regency and City. Discrete choice models were used to determine the preferences in owning a home. …”
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    Article
  20. 240