scholarly journals Exploring the Effects of Carpooling on Travelers’ Behavior during the COVID-19 Pandemic: A Case Study of Metropolitan City

2021 ◽  
Vol 13 (20) ◽  
pp. 11136
Author(s):  
Anfeng Xu ◽  
Jiming Chen ◽  
Zihui Liu
Keyword(s):  
Developing Countries ◽  
Regression Model ◽  
Traffic Congestion ◽  
Rapid Evolution ◽  
Mixed Logit ◽  
Developed Countries ◽  
Sharing Economy ◽  
Logit Regression ◽  
Feasible Alternative ◽  
Logit Regression Model

Transportation accounts for more than a quarter of the greenhouse gas emissions that are causing climate change. Carpooling is a subset of the sharing economy, in which individuals share their vehicle with commuters to save travel expenses. In recent decades, carpooling has been promoted as a feasible alternative to car ownership with the potential to alleviate traffic congestion, parking demand, and environmental problems. Unstable economic conditions, cultural norms, and lack of infrastructure make cultural exchange activities and mobility habits different in developing nations to those in developed countries. The rapid evolution of sharing mobility has reshaped travelers’ behavior and created a dire need to determine the travel patterns of commuters living in megacities in developing countries. To obtain data, a web-based stated choice (SC) experiment was used in this study. It used mode-related variables, socioeconomic demographic variables, and a coronavirus disease 2019 (COVID-19) precautionary measure variable. Logit models, namely the mixed logit regression model (ML) and the multinomial logit regression model (MNL), were applied to analyze the available data. According to modeling and survey data, economic variables associated with modes of transport, such as trip time and trip cost, were determined to be significant. Additionally, the results revealed that commuters were more conscious of COVID-19 preventive measures, which was determined to be highly significant. The findings showed that the majority of residents in the COVID-19 pandemic continue to rely on automobiles and motorcycles. It is noteworthy that individuals with more than two members in their family and a travel distance of less than seven miles were more likely to prefer a carpooling service. This study’s findings will provide a basis for researchers to aid existing operators in the field of transportation, as well as offer guidelines for governments in developing countries to enhance the utility of transportation networks.

scholarly journals An analysis of women’s self-help groups’ involvement in microfinance program in India

2019 ◽  
Vol 13 (2) ◽  
pp. 2-11
Author(s):  
Gaurav Joshi
Keyword(s):  
Regression Model ◽  
Family Type ◽  
Content Type ◽  
Logit Regression ◽  
Self Help ◽  
Participation Of Women ◽  
Significant Difference ◽  
Self Help Groups ◽  
Logit Regression Model ◽  
The Impact

Purpose The purpose of this is to classify the social and economic factors which impact the involvement of women in self-help groups (SHGs) for their economic as well as social empowerment. Design/methodology/approach The research has been conducted in Nainital district of Uttarakhand (India) in 2018. Primary data have been gathered from women respondent only on factors relating to the ownership of asset, housing characteristics and other demographic details. Both SHG and non-SHG women members have been chosen as key informants during the survey. Multi-stage purposive and stratified random sampling has been used for the selection of respondents and SHGs. The logit regression model has been formulated to describe the causes that influence the participation of women in SHGs. Also, an empowerment index has been constructed to measure the effect of SHGs on women empowerment. Findings The results show that factors including age, education, family type and distance from the market have a significant impact on the participation of women in SHGs. Also, there is a significant difference in both these values which suggests that the value of the empowerment index gets significantly increased after joining the SHGs. Practical implications Analytically derived factors have been used to develop an empowerment index. Hence, the present research is valuable for marketing practitioners, entrepreneurs and professionals from the development sector who intend to work amongst SHGs, primarily with women. The paper is valuable for academic researchers in this area so that the limited body of knowledge, on the empowerment index, could be developed. Originality/value The present research is unique because the authors did not find work, especially in the context of rural India, in the said area. Factors impacting the participation of women in SHGs along with the impact of participation on empowerment have been explored using the logit regression model, leading to the development of an empowerment index.

Functional PLS logit regression model

2007 ◽  
Vol 51 (10) ◽  
pp. 4891-4902 ◽  
Author(s):  
M. Escabias ◽  
A.M. Aguilera ◽  
M.J. Valderrama
Keyword(s):  
Regression Model ◽  
Logit Regression ◽  
Logit Regression Model

scholarly journals Factors Affecting Farm Succession and Occupational Choices of Nominated Farm Successors in Gilgit-Baltistan, Pakistan

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1203
Author(s):  
Muhammad Abid Shahzad ◽  
Syed Abubakr ◽  
Christian Fischer
Keyword(s):  
Regression Model ◽  
Farm Size ◽  
Agricultural Activity ◽  
Infrastructure Development ◽  
Occupational Choices ◽  
Agricultural Income ◽  
Logit Regression ◽  
Part Time ◽  
Logit Regression Model ◽  
Gilgit Baltistan

Mountain farming communities in Pakistan are exhibiting an increased rate of rural-to-urban migration and a rapid growth in the non-farm sector, which has threatened the sustenance of agricultural activity. This study examined the determinants of farm succession using a logit regression model and employed a multinomial logit regression model to study the factors influencing the future occupational choices of the potential farm successors. The study was based on quantitative survey data obtained from 421 farm managers and 155 potential farm successors and qualitative data from 12 key informants from two different districts in Gilgit-Baltistan. The survey results show that around 67% of the farmers had a potential successor. Farm succession was mainly explained by farmer characteristics (e.g., farmer age, gender and education), farm characteristics (e.g., farm size, specialization in horticulture, etc.) and agricultural income. Regarding the occupational choices, part-time farming (66%) was the most commonly reported choice. The results indicate that it was mainly farm successors’ personal characteristics (such as age, education and marital status) and agricultural income that led to the choices “undecided” and “exit”, whilst farm characteristics (e.g., farm size) and the main farm operators’ non-farm activity were significantly associated with the choice “part-time”. Policies aimed at improving the local income situation and investments in skill-building and infrastructure development can assist in farm sustenance.

scholarly journals EVALUATING SIGNIFICANT FACTORS THAT INFLUENCE PUBLIC TRANSPORT USAGE IN KERMAN, IRAN

2016 ◽  
Vol 14 (4) ◽  
Author(s):  
Azin Bahreini ◽  
Hamed Mirzaei ◽  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Muhammad Zaly Shah ◽  
...  
Keyword(s):  
Developing Countries ◽  
Public Transport ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
Developed Countries ◽  
Sustainable Transport ◽  
The People ◽  
Parking Demand ◽  
Significant Factors

Although public transport is recommended to develop a sustainable transport system, the percentage of daily trips by public transport in Iran specifically in medium sized cities such as Kerman is very low. Currently, efforts are being made to indicate significant factors that prevent public transport usage in developed countries but few studies have been conducted in developing countries. Only a few studies have considered public transport usage in Iranian megacities and medium sized cities such as Kerman require more attention. Therefore, this study tries to identify effective factors that influence public transport usage in urban areas in developing countries like Iran and in medium sized cities like Kerman. In addition, this study tries to investigate various ways to increase public transport ridership. The people awareness regarding benefits of public transport usage is also tested in this study. This study uses questionnaire and observation to collect data. The descriptive analysis based on the collected data shows that most of the people are aware of public transport benefits. These benefits include environment protection, reduction in parking demand and traffic congestion, lower travel cost (compare with private vehicle), fewer mental stresses, more safety, and being more convenient. Although people are aware of public transport benefits, there are some issues that prevent them to use public transport properly. Insufficient information about public transport schedules, lack of attractive facilities and suitable waiting stations and inadequate reliability are examples of issues that discourage people to use public transport. The results show that some improvements such as providing suitable information about public transport schedules, considering comfortable facilities to increase attractiveness, improving waiting facilities and reliability can encourage people to use public transport.

scholarly journals Rethinking Westernization in Destination: Tourists’ Perception of a Touristic City

2021 ◽  
Vol 12 (23) ◽  
pp. 1-25
Author(s):  
Niranjan Devkota ◽  
Udaya Raj Poudel ◽  
Iveta Hamarneh ◽  
Udbodh Bhandari
Keyword(s):  
Regression Model ◽  
Logistic Model ◽  
Descriptive Study ◽  
Local Culture ◽  
Cross Sectional ◽  
Cultural Traditions ◽  
Logit Regression ◽  
Tourism Destinations ◽  
Logit Regression Model

The impacts of westernization are increasing globally in the tourism entrepreneurship practices. Understanding it contributes to the growth and sustainability of the business even in local touristic cities. This paper aims to judge tourists’ perception of westernization about one of the most important touristic cities – Pokhara, Nepal. Purposive sampling was used to collect responses from 248 tourists in Pokhara, which included both open and closed-ended questionnaires. In order to understand the perception of tourists and check the determinants about the prevalence of westernization among tourists, the cross-sectional descriptive study has been used, and Logit Regression Model is applied. The study reveals that 78.22% of the respondents find westernization has influenced tourism entrepreneurship up to a certain extent in Pokhara. Similarly, a majority (89.11%) of tourists reveal that they expect and enjoy local culture than their own culture in tourism destinations, where 95.56% of the tourists suggest preserving the local culture for the sustainability of tourism business in Pokhara. Results from the Ordered Logistic model show that westernization, problems faced in destination, the similarity of destination as per their expectation and level of tourists’ existence at destination play significant roles in their preferences to visit touristic destinations. This study indicates that the first two reduce tourists’ preferences while the latter two stimulate their preferences to visit Pokhara, Nepal. Therefore, entrepreneurs in Pokhara should identify, conserve, encourage, and maintain local socio-cultural traditions to have long-term tourism prosperity and development.

scholarly journals The Socio-Economic Benefits of Sharing Economy: Colleague-Based Carpooling Service in Korea

2018 ◽  
Vol 4 (3) ◽  
pp. 40 ◽  
Author(s):  
MyungSik Do ◽  
HoYong Jung
Keyword(s):  
Traffic Congestion ◽  
Demand Management ◽  
Economic Cost ◽  
Developed Countries ◽  
Sharing Economy ◽  
Economic Benefits ◽  
Environmental Cost ◽  
Traffic Demand ◽  
Direct Benefits ◽  
Saving Effect

Carpooling—a concept of shared transportation for addressing traffic issues such as congestion and CO2 emissions—has been actively introduced, especially in developed countries. This study proposes a method to estimate the benefits of introducing carpooling for employees in public agencies that are transferring innovation cities. To overcome the shortcomings of previous carpooling services, a carpooling service for inter-company employees was designed and evaluated in our study. The traffic flow theory was used to estimate the direct benefits to carpooling users and the indirect benefits to express highway drivers. The results indicate that carpooling services have a significant socio-economic cost-saving effect on traffic congestion, environmental cost reduction, and so forth, and will therefore play an important role in traffic demand management.

ADOPTION DYNAMICS OF TITHONIA DIVERSIFOLIA FOR SOIL FERTILITY MANAGEMENT IN PILOT VILLAGES OF WESTERN KENYA

2008 ◽  
Vol 44 (4) ◽  
pp. 473-484 ◽  
Author(s):  
EVELYNE KIPTOT
Keyword(s):  
Soil Fertility ◽  
Regression Model ◽  
Smallholder Farmers ◽  
Tithonia Diversifolia ◽  
Soil Fertility Management ◽  
Western Kenya ◽  
Fertility Management ◽  
Logit Regression ◽  
Logit Regression Model ◽  
Adoption Dynamics

SUMMARYThis paper presents the results of a study that was undertaken to assess adoption dynamics of Tithonia diversifolia in Siaya and Vihiga districts of western Kenya from 1997 to 2004. The study was undertaken among a random sample of 120 farmers from eight pilot villages exposed to the technology. Descriptive statistics and a logit regression model were used to analyse data. The findings show that more farmers in pilot villages of Siaya are taking up the use of Tithonia than in Vihiga. As of 2004, 52% of farmers in Siaya were adopters compared to only 8% in Vihiga. Results of the logit regression model show that the use of Tithonia biomass for soil fertility management (SFM) is more likely to be adopted in a context where there is a scarcity of animal manure, farmers are willing to plant it on farms and hire casual labour. The use of Tithonia by smallholder farmers for SFM is therefore a promising low-cost option that can be scaled up to areas where farmers face similar constraints.

A COMPARISON OF FEMALE- AND MALE-HEADED HOUSEHOLDS IN TANZANIA AND POVERTY IMPLICATIONS

2005 ◽  
Vol 38 (3) ◽  
pp. 327-339 ◽  
Author(s):  
R. S. KATAPA
Keyword(s):  
Regression Model ◽  
Marital Status ◽  
Health Survey ◽  
Rural Areas ◽  
Logit Regression ◽  
Head Of Household ◽  
Chi Squared ◽  
Using Data ◽  
Female Headed Households ◽  
Logit Regression Model

Female- and male-headed households were compared using data from a Demographic and Health Survey conducted in Tanzania in 1996. Chi-squared tests showed that sex of head of household was highly significantly associated with: residence, household size and composition, radio ownership, having enough food to eat, and age and marital status of head of household. An analysis by the logit regression model showed that female-headed households were more likely than male-headed households to be in rural areas, be small, have fewer men, not have radios and not have enough food to eat. The majority of female heads of households were unmarried and older than male heads of households. The implication is that female-headed households are poorer than male-headed households.

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