Analysis of the characteristics of housing pension subscribers using the multinomial logistic model

2021 ◽  
Vol 25 (2) ◽  
pp. 51-67
Author(s):  
Jae-Cheon Kim ◽  
Sun-Ju Kim
Keyword(s):  
Logistic Model ◽  
Multinomial Logistic Model

scholarly journals Rural Households’ Poverty and Relocation and Settlement: Evidence from Western China

2019 ◽  
Vol 16 (14) ◽  
pp. 2609 ◽  
Author(s):  
Wei Liu ◽  
Jie Xu ◽  
Jie Li ◽  
Shuzhuo Li
Keyword(s):  
Logistic Model ◽  
Rural Households ◽  
Western China ◽  
Multinomial Logistic Model ◽  
Factors Affecting ◽  
Chronic Poverty ◽  
Southern Shaanxi ◽  
Transient Poverty

Based on survey data collected from five counties across southern Shaanxi, China, the present study employs a multinomial logistic model to explore the main factors related to the type of poverty of rural households, particularly focusing on the role of relocation time, reason for relocation, and type of relocation. The results showed that three types of poverty, “voluntary poverty”, “transient poverty”, and “chronic poverty”, are distinguished by combining income and consumption criteria. Moreover, relocation and settlement programs contribute to a certain degree to these three kinds of poverty, and the effects vary according to the relocation characteristics. Specifically, those relocated long-term were more likely to be trapped in “voluntary poverty” and “chronic poverty”, whereas those relocated short-term were less likely to fall into “voluntary poverty” and “transient poverty”. The poverty alleviation and disaster-related resettlers were less likely to be trapped in “chronic poverty”, whereas centralized resettlers were less likely to be trapped in “voluntary poverty” and “chronic poverty”. Additionally, demographic characteristics, capital endowment variables, and geographical features are all important factors affecting rural households’ type of poverty. This study can serve as a reference for further resettlement practice in China and other developing countries.

scholarly journals Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China

2019 ◽  
Vol 11 (16) ◽  
pp. 4318 ◽  
Author(s):  
Mingyang Du ◽  
Lin Cheng ◽  
Xuefeng Li ◽  
Jingzong Yang
Keyword(s):  
Travel Behavior ◽  
Logistic Model ◽  
Influential Factors ◽  
Competition Effect ◽  
Multinomial Logistic Model ◽  
Significant Difference ◽  
Bike Sharing ◽  
Taxi Service ◽  
Geographical Position ◽  
The Government

In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.

Urban Land Use Changes by the Integration of Remote Sensing, GIS, and Dynamics Modeling

2013 ◽  
Vol 726-731 ◽  
pp. 4645-4649
Author(s):  
Jia Hua Zhang ◽  
Cui Hao ◽  
Feng Mei Yao
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Logistic Model ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Ratio Test ◽  
Multinomial Logistic Model ◽  
The Impact

We developed an approach to assess urban land use changes that incorporates socio-economic and environmental factors with multinomial logistic model, remote sensing data and GIS, and to quantify the impact of macro variables on land use of urban areas for the years 1990, 2000 and 2010 in Binhai New Area, China. The Markov transition matrix was designed to integrate with multinomial logistic model to illustrate and visualize the predicted land use surface. The multinomial logistic model was evaluated by means of Likelihood ratio test and Pseudo R-Square and showed a relatively good simulation. The prediction map of 2010 showed accurate rates 78.54%, 57.25% and 70.38%, respectively.

Study of the Effectiveness of Metro Transfer System in Beijing Based on the Result of SP Survey

2012 ◽  
Vol 253-255 ◽  
pp. 1988-1994
Author(s):  
Xun Ji ◽  
Chun Fu Shao ◽  
Xiao Peng Shen ◽  
Yi Zhao
Keyword(s):  
Impact Factor ◽  
Logistic Model ◽  
Public Transit ◽  
Transfer System ◽  
Multinomial Logistic Model ◽  
Passenger Demand ◽  
Improvement Planning ◽  
Planning And Construction ◽  
Transfer Problems

Based on the result of SP survey, the transfer problems are classified and analyzed in detail. Then this paper conducts research on the passenger demand for metro transfer system. By using the Multinomial Logistic Model, the transfer impact factor is analyzed which could provide basical support for the improvement, planning and construction of public transit transfer system.

Determinants of Market Outlet Choice of Coffee Producing Farmers in Lalo Assabi District, West Wollege Zone, Ethiopia: An Econometric Approach

2017 ◽  
pp. 48-67 ◽  
Author(s):  
Mekonin Abera Negeri
Keyword(s):  
Logistic Model ◽  
Market Access ◽  
Sample Size Determination ◽  
Price Information ◽  
Multinomial Logistic Model ◽  
Factors Affecting ◽  
Access To Credit ◽  
Major Factors ◽  
Econometric Approach ◽  
Transportation Facilities

This study examines the major determinants of market outlet choice of coffee producing farmers in Lalo Assabi district of West Wollega zone, Ethiopia with the specific objectives of exploring the general characteristics and livelihood activities; and identifying major factors affecting coffee market outlet choice. A Random sample of 141 coffee producers was selected for interview based on the appropriate sample size determination. Both descriptive and inferential statistical methods were employed for data analysis. For the marketing of coffee, 11.3%, 51.8% and 36.9% of the respondents mainly chose end consumer, private trader and cooperative outlets, respectively. The result of a multinomial logistic model showed that the choice of end consumer outlet is positively and significantly affected by access to transportation facilities, access to price information and access to credit compared to private trader outlet, whereas the quantity of coffee sold and access to extension services negatively affected the main choice of end consumer outlet. Similarly, the choice of cooperative outlet is positively and significantly affected by distance to the market, access to transportation facilities, access to price information and access to training compared to private trader outlet. Therefore, these variables require special attention if farmers’ margins from coffee marketing are to be increased.

If It Wasn’t Rape, Was It Sexual Assault? Comparing Rape and Sexual Assault Acknowledgment in College Women Who Have Experienced Rape

2018 ◽  
Vol 24 (14) ◽  
pp. 1718-1738 ◽  
Author(s):  
Sapana D. Donde ◽  
Sally K. A. Ragsdale ◽  
Mary P. Koss ◽  
Alyssa N. Zucker
Keyword(s):  
Sexual Assault ◽  
College Women ◽  
Logistic Model ◽  
Emotional Impact ◽  
Multinomial Logistic Model ◽  
Rape Acknowledgment ◽  
University Settings

The present study investigated (a) comparisons in rates of rape and sexual assault acknowledgment and (b) a comprehensive multivariate multinomial logistic model predicting rape and sexual assault acknowledgment in a sample of 174 college women who had experienced rape. Significantly more women acknowledged having experienced sexual assault than rape. Greater perceived perpetrator force was associated with increased likelihood of rape and sexual assault acknowledgment. Increased age and greater perceived emotional impact were associated with increased odds of rape acknowledgment. Implications for policy, education, and practice within university settings are discussed.

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