Impact of hospital visits for three major diseases and chronic diseases on working decisions, working status, and working hours in Japan by Mamiko Takeuchi

“…The main estimations used are a logistic regression for the working decision function, a multinomial logit model for working status, and ordinary least squares (OLS) for working hours. …”
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Analysis of Smallholders’ Progress in Implementing Sustainable Management in North Sumatra, Indonesia by Diana Chalil, Riantri Barus

“…The influencing factors for implementation levels were estimated by using multinomial logit model. The results showed that the level of implementation for both schemed and independent smallholders were still low in both 2012 and 2018. …”
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Advances in pedestrian travel monitoring: Temporal patterns and spatial characteristics using pedestrian push-button data from Utah traffic signals by Prasanna Humagain, Patrick Singleton

“…Using empirical clustering, we classified signals into five groups, based on normalized hourly/weekly counts (each hour’s proportion of weekly totals, or the inverse of the expansion factors), and three clusters with similar monthly adjustment factors. We also used multinomial logit models to identify spatial characteristics (land use, built environment, socio-economic characteristics, and climatic regions) associated with different temporal patterns. …”
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The impact of multiple labeling on consumer choices for extra virgin olive oil: A cross-country study by Chiara Paffarini, Biancamaria Torquati, Lucio Cecchini

“…The final sample consisted of 1,345 regular consumers of EVOO, and the data collected were analyzed using a random parameters logit model and a multinomial logit model. The results show a propensity for regular consumers in all three countries to choose certified EVOO, which is more significant for well-known certifications, such as PDO and organic. …”
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Impact of multiple maize technology package adoption on the production efficiency and food security of smallholder farmers in Ethiopia: Evidence from the Sidama region by Ashenafi Guye, Tewodros Tefera, Million Sileshi, Abdi-Khalil Edriss

“…In the first stage of the MESR model, the multinomial logit was used to examine the determinants of adoption. …”
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Transport Mode Choice for Disaggregated Mobility Demand Generation by Leo Strobel, Marco Pruckner

“…We utilize a two-stage multinomial logit model that works with precise origin-destination coordinates and exact departure times to determine each trip’s travel time and other level-of-service attributes based on network information acquired from OpenStreetMap and GTFS public transit schedules. …”
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Telehealth, medical decisions and new health inequality in China by Zhaopeng Xu, Liuliu Zhou, Weibang Gu, Zhixin Yang, Lufa Zhang

“…Methods We obtained 14,944 valid questionnaires from a multistage stratified sample of 41 cities in the Yangtze River Delta, China, and multinomial logit was mainly used. Results The utilization rate of telehealth in the study area was 10.43%. …”
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Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information by Shijun Yu, Siyuan Zhang, Shejun Deng, Tao Ji, Peng Zhou, Lang Peng

“…This study shows tourists’ travel behavior based on a survey conducted to the tourists in Yangzhou city. 1500-interview data are analyzed, and a Multinomial Logit Model (MNL) was employed to establish the probability prediction model of tourists’ departure time choice. …”
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Leaving and returning to the parental home during COVID times in France, Italy, Germany, Spain, and the United Kingdom by Francesca Luppi, Alessandro Rosina, Emiliano Sironi

“…To achieve this, we employ both multinomial and logit models. RESULTS: We find that the subjective perception of economic vulnerability during the ongoing recession continues to have a negative impact on the intention to obtain or maintain housing autonomy, especially in Italy and Spain. …”
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Assessing the Determinant Factors Influencing Transport Mode Choice: A Case of Debre Berhan City by Seyte Kelela, Yonas Minalu Emagnu, Kalkidan Kefale Berta

“…The collected data from the questionnaire survey were then analyzed using a multinomial logit (MNL) model to assess the relationships between different parameters and mode choice. …”
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The Response of Urban Travel Mode Choice to Parking Fees considering Travel Time Variability by Ling Ding, Xu Yang

“…To estimate commuters’ mode choice behavior in response to high parking fees, commuters from Nanjing completed an individually customized discrete choice survey in which they chose between driving and taking the bus or metro when choices varied in terms of time and cost attributes. Multinomial logit models were used to estimate commuters’ responses to high parking charges. …”
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Impact of Farmer Cooperatives on Labor Employment: Evidence from Rural China by Yutong Qiu, Yunli Bai, Jiaojiao Wu, Xuanye Zeng, Linxiu Zhang

“…Leveraging two-waved panel data from the China Rural Development Survey, a multinomial Logit model and Tobit model with panel data are adopted. …”
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Accounting for BEV Users’ Risk Attitudes and Charging Inertia in En Route Charging Choice Behavior by Zhicheng Jin, Hao Li, Di Chen, Lu Yu, Huizhao Tu

“…Specifically, uncertainty in energy consumption is first considered in the ICLV model, which is represented by the available range (AR) uncertainty. Multinomial logit (MNL) models directly incorporating socioeconomic attributes are employed as a reference for comparison with ICLV models. …”
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How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China by Aihua Fan, Xumei Chen, Tao Wan

“…Travel choice models for first/last mile trips are determined using a multinomial logit model. It also analyzes the differences in choice behavior between the young and other age groups. …”
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Exploring Determinants of Education-Job Mismatch Among Educated Workers in Indonesia by M. Afif Khoiruddin, Axellina Muara Setyanti, Agus Suman, Ferry Prasetyia, Susilo Susilo

“…Using data from the 2022 National Labor Force Survey (Sakernas), a multilevel multinomial logit regression analysis reveals that age, gender, education level, and regional characteristics significantly affect mismatch outcomes. …”
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United Prediction of Travel Modes and Purposes in Travel Chains Based on Multitask Learning Deep Neural Networks by Chenxi Xiao, Zhitao Li, Jinjun Tang, Jeanyoung Jay Lee

“…The results show that the MTLDNN demonstrates consistent input variable replacement modes and selection probabilities in generating behavioral replacement patterns. Compared to the multinomial logit model (MNL), the MTLDNN achieves lower cross-entropy loss and higher prediction accuracy. …”
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Microlevel Analysis of Climate Change Adaptation and its Determinants: The Case of Smallholder Farmers in the Kembata Tembaro Zone, Southern Ethiopia by Getachew Tadesse, Mulugeta Lemenih, Teshale Woldeamanuel, Menfese Tadesse

“…This was complemented by qualitative data obtained through interviews and focus group discussions (FGDs). A multinomial logit (MNL) regression model was used to analyze the determinants of the farmers’ adaptation decisions. …”
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Patient Preferences for Chronic Myeloid Leukemia Medication Regimen Attributes and their Potential Impact on Adherence: Results from a Multi-national Conjoint Study by Ishan Hirji, Jessica Grinspan, Emuella Flood, Diana Chirovsky, Jennifer Devlen, Samuel Wagner, Catherine Davis

“…Attribute percent importance ratings were derived from a multinomial logit model, and utilities were summed for each product profile to determine the most preferred regimen profile. …”
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Modeling Determinants of Autonomous Vehicle Utilization in Private and Shared Ownership Models by Bradley W. Lane, Scott B. Kelley

“…We incorporate descriptive and spatial analyses and then utilize multinomial logit models to predict the factors influencing the encouragement or discouragement of substituting a private and a shared AV for their previous trip. …”
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Discretion and assumption choices for closed supplementary pension plans by Rudolph Fabiano Alves Pedroza Teixeira, Adriano Rodrigues, Marcelo Alvaro da Silva Macedo

“…This work features econometric models elaborated based on panel and multinomial logit data, in order to verify whether the assumptions of DB and VC plans for companies traded in the Brazilian stock market are influenced by four groups of explanatory variables. …”
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