Showing 21 - 40 results of 41 for search 'MNL48~', query time: 1.68s Refine Results
  1. 21

    Why Aceh-Indonesia Conflict Resolution can’t be Copy-Paste in Bangsamoro-Philippines Issue? by Sidik Jatmika, Nanang Sumanang, Ajeng Puspa Marlinda, Chalilla Raihan Nabilazka, Muhammad Indrawan Jatmika

    Published 2022-06-01
    “…The findings confirm that both GAM (Aceh) and MILF (Bangsamoro) have similar political preference sequence, but such of MNLF factions still continues their military movements. …”
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    Article
  2. 22

    Effectiveness of Hydraulic and Hydrologic Parameters in Assessing Storm System Flooding by Basim K. Nile

    Published 2018-01-01
    “…Physically based models, Autodesk Storm and Sanitary Analysis (ASSA) and multiple nonlinear regression (MNLR), were applied. Hydrology data from 1980 to 2013 were inputted and examined over three scenarios. …”
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    Article
  3. 23

    Heterogeneity in the Preferences of Potential Users of Automated Transit Network (ATN) by Ardeshir Kohandel Shirazi, Ingmar Andreasson, Farshid Afshar, Ashkan Kohandel Shirazi, Hamidreza Mokhtarian

    Published 2023-01-01
    “…Additionally, from the comparison of the results of the MNL and ML models, it was found that despite the greater ability of the ML model in estimating possible heterogeneities, likely the MNL model can also help to record some heterogeneities more realistically. …”
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    Article
  4. 24

    Using Clustering Methods in Multinomial Logit Model for Departure Time Choice by Shahriar Afandizadeh Zargari, Farshid Safari

    Published 2020-01-01
    “…Afterwards, we developed Multinomial Logit (MNL) models on different choice sets and compared the models. …”
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    Article
  5. 25

    Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks by Xiaowei Li, Yuting Wang, Yao Wu, Jun Chen, Jibiao Zhou

    Published 2021-01-01
    “…The standard multinomial logit (MNL) regression and Bayesian multinomial logit (BMNL) regression were compared with the radial basis function (RBF) and multilayer perceptron (MLP). …”
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    Article
  6. 26

    Heterogenous Trip Distance-Based Route Choice Behavior Analysis Using Real-World Large-Scale Taxi Trajectory Data by Yajuan Deng, Meiye Li, Qing Tang, Renjie He, Xianbiao Hu

    Published 2020-01-01
    “…The results confirmed that commuters’ route choice behavior are heterogenous for trips with varying distances and that considering such heterogeneity in the modeling process would better explain commuters’ route choice behaviors, when compared with the traditional MNL model.…”
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    Article
  7. 27

    Modeling the Joint Choice Decisions on Urban Shopping Destination and Travel-to-Shop Mode: A Comparative Study of Different Structures by Chuan Ding, Binglei Xie, Yaowu Wang, Yaoyu Lin

    Published 2014-01-01
    “…Meanwhile, the traditional multinomial logit (MNL) model and nested logit (NL) model are also formulated, respectively. …”
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    Article
  8. 28

    Modes at Guangzhou Urban Rail Transit Stations by CAI Hanzhe, LIN Junyan, WANG Zhi, YE Xiafei

    Published 2025-01-01
    “…[Method] Based on the on-site investigations of the inbound passenger flow connection data of Nancun Wanbo Station, Tonghe Station and other stations in Guangzhou urban rail transit under different weather conditions, on the basis of the traditional MNL (Multinomial Logit) model, and in consideration of the impact of weather and differences in the inbound and outbound connection characteristics, an improved model for classifying the passenger flow transportation connection modes at urban rail transit stations based on the MNL model is constructed, and calibrated by using the data from the questionnaire surveys. …”
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    Article
  9. 29
  10. 30

    Farmers’ climate change perception, impacts and adaptation strategies in response to drought in the Northwest area of Bangladesh by J.M. Adeeb Salman Chowdhury, Md. Abdul Khalek, Md. Kamruzzaman

    Published 2025-04-01
    “…The factors influencing the farmers’ adaptation practices were determined using a multinomial logistic model (MNL). During survey, farmers’ perceptions about climate change were identical to the meteorological trends of the last 60 years (1960–2022) except for Dinajpur station. …”
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    Article
  11. 31

    Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China by Yu Wang, Qixuan Qin, Jialiang Chen, Jiangbo Wang, Kai Liu

    Published 2023-01-01
    “…Passengers are divided into two categories based on their travel habits and data mining models, and multinomial logit (MNL) models are separately used to predict their destinations. …”
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    Article
  12. 32

    A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information by Zhengchao Zhang, Congyuan Ji, Yineng Wang, Yanni Yang

    Published 2020-01-01
    “…Thus far, this field has been dominated by multinomial logit (MNL) models with a linear utility specification. …”
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    Article
  13. 33

    Departure Time Choice (DTC) Behavior for Intercity Travel during a Long-Holiday in Bangkok, Thailand by Bhawat Chaichannawatik, Kunnawee Kanitpong, Thirayoot Limanond

    Published 2019-01-01
    “…Moreover, the Multinomial Logit Model (MNL) was used to find the car-based DTC model. The results showed that travelers tend to travel at the peak period when the parameters of personal and household are not so significant, in contrast to the trip-related characteristics and holiday variables that play important roles in traveler decision on departure time choice. …”
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    Article
  14. 34

    Exploring Contributing Factors to Household Vehicle Ownership in Developing Countries: A Case of Banda Aceh, Indonesia by Ruslan Ruslan, Sofyan M. Saleh, Renni Anggraini, Sugiarto Sugiarto

    Published 2025-01-01
    “…The methodology used is the multinomial logit model (MNL) to analyze ownership patterns. The empirical results showed the significant impact of the income variable on vehicle ownership. …”
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    Article
  15. 35

    Traffic Allocation Mode of PPP Highway Project: A Risk Management Approach by Jie Li, Peng Mao, Zhaohua Dai, Jing Zhang

    Published 2018-01-01
    “…To improve the accuracy of traffic allocation forecasting in PPP road projects, this paper proposes to consider the effect of traffic risks together with traffic time by using the mean utility. Multinomial logit (MNL) model based on mean utility is used to predict the traffic allocation rate. …”
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    Article
  16. 36

    Comparison between Physical Parameters and Sensory Parameters Regarding Travel Behavior Based on Sensitivity Analysis by Wissam Qassim Al-Salih, Domokos Esztergár-Kiss

    Published 2022-01-01
    “…The multinomial logit (MNL) model is used to estimate and perform the sensitivity analysis of the main variables. …”
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    Article
  17. 37

    Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model by Yajie Zou, Wanbing Han, Bo Lin, Bing Wu, Linbo Li, Shubo Wu, Malik Muneeb Abid

    Published 2023-01-01
    “…., logit models) are commonly used to describe travel mode choice behavior. Multinomial logit (MNL) is subjected to the independence of irrelevant alternatives (IIA) assumption. …”
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    Article
  18. 38

    Spatial-Temporal Analysis of Crash Severity: Multisource Data Fusion Approach by Amirhossein Taheri, Arash Rasaizadi, Seyedehsan Seyedabrishami

    Published 2022-01-01
    “…To achieve this objective, the current study used several types of discrete choice models, such as ordered logit (OL), multinominal logit (MNL), and mixed logit (ML) models, to examine the factors influencing the severity of crashes in the suburban highway area. …”
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    Article
  19. 39

    The Impact of Multitasking on Transport Mode Choice in Autonomous Vehicle Age by Jamil Hamadneh, Domokos Esztergar-Kiss

    Published 2025-01-01
    “…The multinomial logit (MNL) model is applied, where a transport mode choice model of cars, AVs, and SAVs is developed. …”
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    Article
  20. 40

    بررسی نقش بسته بندی و بازاریابی بر ترجیحات مصرف کنندگان گوشت در تهران by سعید سالاری, لیلا واعظی, ابراهیم سری دیوشلی

    Published 2024-09-01
    “…جهت بررسی و تجزیه­وتحلیل داده‌ها، از مدل لاجیت چندگانه (MNL) استفاده شده است. برای جمع­آوری داده­های موردنیاز، نمونه­ای متشکل از 385 خانوار از جامعه آماری 3189982 خانوار در شهر تهران با استفاده از نمونه­ گیری چندمرحله­ای و فرمول کوکران انتخاب شد. …”
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    Article