scholarly journals Motorcycle Ownership Assessment and Estimation in Makurdi, North Central, Nigeria: A Multinomial Logit Model Approach

2018 ◽  
Vol 9 (2) ◽  
pp. 3
Author(s):  
K. Gbagir ◽  
J. E. Etu2 ◽  
O. J. Oyedepo
Keyword(s):  
Public Transportation ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
North Central ◽  
Household Factors ◽  
Alternative Means ◽  
Economic Boom ◽  
And Control ◽  
Density Zone

With the rapid rise in problems associated with use of motorcycles as alternative means to inadequate public transportation, this study seeks to identify household factors influencing motorcycle ownership in Makurdi. The study estimates the influence of the various household factors identified and a model for predicting motorcycle ownership is developed for the study area. Data were collected via a questionnaire survey of 1412 households in the study area. The survey revealed that the number of motorcycles owned per household in the low density zone was 0.67 while that for the medium and high density zones was 0.62 and 0.79 respectively. The multinomial logit model developed predicted that 67% of households owned motorcycles as compared to 71% observed from survey data.  Severity applications of the model to test the effects of changing economic situations on motorcycle ownership showed that residents of the study area are more disposed to owning motorcycles in periods of recession than periods of economic boom. The study gives an understanding of motorcycle growth pattern and ownership characteristics in the study area and will therefore serve as a relevant input for planning, regulation and control of motorcycle activities in the study area.

scholarly journals Public Preferences of Shared Autonomous Vehicles in Developing Countries: A Cross-National Study of Pakistan and China

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zhong Wang ◽  
Muhammad Safdar ◽  
Shaopeng Zhong ◽  
Jianrong Liu ◽  
Feng Xiao
Keyword(s):  
Developing Countries ◽  
Public Transportation ◽  
Logit Model ◽  
Autonomous Vehicles ◽  
Stated Preference ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Alternative Form ◽  
National Study ◽  
Public Preferences

Shared autonomous vehicles (SAVs) are rapidly emerging as a viable alternative form of public transportation with the potential to provide adequate and user-friendly, on-demand services without having vehicle ownership. It has been argued that SAVs could revolutionize transportation systems and our current way of life. Although SAVs are likely to be introduced in developed countries first, there is little doubt that they would also have a significant effect and enormous market in developing nations. This study aimed to investigate the factors that influence public acceptance of SAVs, as well as the current public attitude toward SAVs, in two developing countries, namely, Pakistan and China. A stated preference survey was conducted to understand respondents’ travel patterns, preferences, and sociodemographic data. A total of 910 valid responses were gathered: 551 from Lahore, Pakistan, and 359 from Dalian, China. A multinomial logit model and a mixed multinomial logit model with panel effect were used for data analysis. The results suggested that generic attributes, such as respondents’ waiting time, travel time, and travel cost were found to be significant in both cities. The results indicate that sociodemographic characteristics, such as education, income, travel frequency in a week, and people who had driver’s licenses, are significantly correlated with respondents’ interest in using SAV in Lahore. The results also showed that people who had a private car indicated a greater interest in SAVs in Dalian. The study provides a new perspective to understand the public preferences toward SAVs in developing countries with different economies and cultures, as well as a benchmark for policymakers to make effective policies for the future implementation of SAVs.

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization

scholarly journals A multinomial logit model of college stopout and dropout behavior

2008 ◽  
Vol 27 (3) ◽  
pp. 319-331 ◽  
Author(s):  
Leslie S. Stratton ◽  
Dennis M. O’Toole ◽  
James N. Wetzel
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit

scholarly journals Do Online Shoppers Attend Farmers’ Markets?

2019 ◽  
Vol 11 (10) ◽  
pp. 39
Author(s):  
Jean D. Gumirakiza ◽  
Mara E. Schroering
Keyword(s):  
United States ◽  
Logit Model ◽  
Online Shopping ◽  
Multinomial Logit Model ◽  
The United States ◽  
Multinomial Logit ◽  
Marketing Strategies ◽  
Farmers Markets ◽  
Online Purchases ◽  
Online Shoppers

Online shopping is changing ways in which offline markets operate. As the online shopping for fresh produce takes off, it is important to investigate its effects on existing physical market outlets. The main objective for this study is to explain how often online shoppers attend farmers’ markets. The study uses data that was collected in 2016 from a sample of 1,205 consumers residing in the south region of the United States who made at least two online purchases within six months prior to participating in this study. This study employed a multinomial Logit model and Stata was used to run the regression. Results show that the majority of these online shoppers never attended a farmers’ market. The relative probabilities for the online shoppers to “never” attend farmers’ markets, attend “occasionally”, and “frequently” are 0.54, 0.28, and 0.18 respectively. We found that the lack of awareness, inconvenient place and/or time, and low interests are major reasons for nonattendance. This study suggests that farmers’ markets could greatly benefit by developing marketing strategies targeting online shoppers.

Sign in / Sign up

Export Citation Format

Share Document