scholarly journals Perilaku Pemilihan Moda Transportasi Pekerja Komuter: Studi Kasus Jabodetabek

2021 ◽  
Vol 21 (2) ◽  
pp. 125-147
Author(s):  
Amelia Dertta Irjayanti ◽  
Dyah Wulan Sari ◽  
Ismatulloh Rosida
Keyword(s):  
Logistic Regression ◽  
Survey Data ◽  
Public Transport ◽  
Mode Choice ◽  
Time Travel ◽  
Travel Distance ◽  
Marginal Effect ◽  
Factors Affecting ◽  
Private Vehicle ◽  
Mode Of Transportation

Using Greater Jakarta Commuter Survey data published by Statistics Indonesia in 2014, this study aims to identify the factors affecting commuting workers to choose the mode of transportation for work and the marginal effect of these factors. Estimation results from logistic regression indicate that income and workdays are not significantly affecting the commuting workers mode choice. The number of modes used has the highest impact on the probability of private vehicle and motorcycle use over public transport. As age, time travel, and travel distance increase, commuter worker less likely to use private vehicle. ------------------------------ Menggunakan data Survei Komuter Jabodetabek yang diterbitkan oleh Badan Pusat Statistik pada tahun 2014, penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi pekerja komuter untuk memilih moda transportasi untuk bekerja dan efek marginal dari faktor-faktor tersebut. Hasil estimasi dari regresi logistik menunjukkan bahwa pendapatan dan hari kerja tidak secara signifikan memengaruhi pilihan moda transportasi pekerja komuter. Jumlah moda yang digunakan memiliki dampak tertinggi pada probabilitas penggunaan kendaraan pribadi dan sepeda motor dibandingkan angkutan umum. Seiring dengan bertambahnya usia, lama, dan jarak perjalanan, pekerja komuter cenderung tidak menggunakan kendaraan pribadi.

scholarly journals Adolescent motherhood in Bangladesh: Evidence from 2007 BDHS data

2012 ◽  
Vol 39 (1-2) ◽  
pp. 63 ◽  
Author(s):  
S.M. Mostafa Kamal
Keyword(s):  
Logistic Regression ◽  
Survey Data ◽  
Contraceptive Method ◽  
Married Women ◽  
Multiple Logistic Regression ◽  
Regression Analyses ◽  
Factors Affecting ◽  
Adolescent Motherhood ◽  
Health Survey Data ◽  
First Time

This paper examines the factors affecting adolescent motherhood in Bangladesh using the 2007 Bangladesh Demographic and Health Survey data. Overall, 69.3 per cent of the married adolescents began childbearing. Among them 56.4 per cent were already mothers and 12.9per cent were pregnant for the first time. Of the adult married women age 20–49, 62.1 per cent initiated childbearing before age 19. The multiple logistic regression analyses revealed that women’s education, husband’s education, place of residence, ever use of contraceptive method, religion, wealth and region are important determinants of adolescent motherhood in Bangladesh.

scholarly journals Analysis of Potential Mass Public Transport Choice Using Geographic Information System (Case Study: Commuter Line Jakarta – Bogor)

2021 ◽  
Vol 887 (1) ◽  
pp. 012031
Author(s):  
K. H. Basuki ◽  
B. Haryadi ◽  
B. Riyanto
Keyword(s):  
Information System ◽  
Public Transport ◽  
Public Transportation ◽  
Mode Choice ◽  
Multinomial Logit Model ◽  
Time Travel ◽  
User Preferences ◽  
Geographical Information ◽  
Transport Cost ◽  
Mass Public

Abstract Mode choice by travellers is carried out with several considerations. The interesting point is, some public transport users have their private vehicles. No research has described how many travellers can choose the mode and how significant their shift is to mass public transportation. The aim of research was carried out by analysing the potential for selecting mass public transportation by considering the socio-demographic, economic and vehicle ownership characteristics with the variable distance, time and travel costs based on user preferences. According to the special condition, mode choice by rail-based transit mode is called KRL commuter line, bus and private vehicle at Jakarta – Bogor Corridor become research location. Research method of mode choice probability has been developed using Multinomial Logit Model (MLM) by transport cost, time travel and distance variable. A graphical descriptive approach method based on an equation model will then overlay the site to get the results of mode selection pattern using Geographical Information System (GIS). The application of the Transit-Oriented Development (TOD) concept will be more effective if there is a transit-based mass transportation mode such as Rail-based Commuter Line (KRL) as an option, besides travellers also having private vehicles. The Result of this research is described by transport cost, travel distance, and time travel based on the revealed preference survey by 324 respondents. 50% of private car travellers are influenced by trip distance, but probability decreases if time travel increases and they switch to public transport. Users consider choosing a commuter line if the walk distance to the station is about 200 meters. On the other side, increase transport costs makes some travellers choose bus mode.

scholarly journals Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand

2020 ◽  
Vol 12 (22) ◽  
pp. 9522
Author(s):  
Phattarasuda Witchayaphong ◽  
Surachet Pravinvongvuth ◽  
Kunnawee Kanitpong ◽  
Kazushi Sano ◽  
Suksun Horpibulsuk
Keyword(s):  
Public Transport ◽  
Logit Model ◽  
Choice Behavior ◽  
Mode Choice ◽  
Mass Transit ◽  
Influential Factors ◽  
Factors Affecting ◽  
Binary Logit Model ◽  
Binary Logit ◽  
Total Travel Time

Increasing use of single or fewer occupant vehicles has increased traffic congestion and transport-related emissions. Public transport as mass transit options are increasingly being encouraged amongst travelers to use, as this is an influential strategy to improve the transport network performance. This paper presents a study based on a revealed preference survey conducted on a random sample of 4467 respondents to understand the influential factors affecting the users’ choice of mass transit in Bangkok, Thailand. This study identified an inversely proportional relationship of socio-economic and spatial attributes on public transport mode choice. The binary logit model was employed to compare the utility of private vehicles and mass transit modes. The results showed that gender, age, average income, auto ownership, total travel cost in private transport, total travel time in public transport and distance range from home to mass transit station were the factors that influenced travelers’ mode choice behavior. Moreover, to ascertain the effects of explanatory variables which influence the likelihood of Thai travelers, another binary logit model analysis was utilized by the four distance ranges condition. The studied results showed that there were few significant differences in the propensity to use mass transit. Due to the longer distance of the station, total travel time in public transport was not affected by the Thai travelers mode choice. This research will aid transport authorities and planners to gain knowledge on the impact of socio-economic and spatial behavior of public transport users on their mode choice, resulting in the development in sustainable transport in Bangkok, Thailand.

Factors Affecting the Organizational Justice in Ho Chi Minh City, Vietnam

2018 ◽  
Vol 9 (6) ◽  
pp. 523-528
Author(s):  
Vu Ba Thanh ◽  
◽  
Ngo Van Toan ◽  
Keyword(s):  
Organizational Culture ◽  
Quantitative Analysis ◽  
Organizational Justice ◽  
Survey Data ◽  
Internal Communication ◽  
Ho Chi Minh City ◽  
Research Model ◽  
Factors Affecting ◽  
Feedback Training ◽  
Model Research

The study was conducted to examine the factors affecting organizational justice in Ho Chi Minh City. Through quantitative analysis from the survey data for 242 civil servants working in Ho Chi Minh city to evaluate the scale and research model. Research results show that four factors: feedback, training, organizational culture and internal communication affect organizational justice in Ho Chi Minh city.

scholarly journals The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future

2021 ◽  
Vol 13 (4) ◽  
pp. 1962
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen ◽  
Riku Viri
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Travel Behaviour ◽  
Car Ownership ◽  
Key Factors ◽  
Sustainable Mobility ◽  
Factors Affecting ◽  
Mobility Service ◽  
The Future ◽  
Mobility Behaviour

Car ownership is one of the key factors affecting travel behaviour and thus also essential in terms of sustainable mobility. This study examines car ownership and how people’s willingness to own a car may change in the future, when considering the effects of public transport, Mobility as a Service (MaaS) and automated vehicles (AVs). Results of two citizen surveys conducted with representative samples (NAV-survey = 2036; NMaaS-survey = 1176) of Finns aged 18–64 are presented. The results show that 39% of respondents would not want or need to own a car if public transport connections were good enough, 58% if the described mobility service was available and 65% if all vehicles in traffic were automated. Hence, car ownership can decrease as a result of the implementation of AVs and MaaS, and higher public transport quality of service. Current mobility behaviour has a strong correlation to car ownership, as respondents who use public transport frequently feel less of a will or need to own a car than others. Generally, women and younger people feel less of a will or need to own a car, but factors such as educational level and residential location seem to have a relatively low effect.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

scholarly journals Regression analyses of questionnaires in bedside teaching

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Wolf Ramackers ◽  
Julia Victoria Stupak ◽  
Indra Louisa Marcheel ◽  
Annette Tuffs ◽  
Harald Schrem ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Linear Regression ◽  
Survey Data ◽  
Organizational Structures ◽  
Bedside Teaching ◽  
Regression Analyses ◽  
Negative Perception ◽  
Data Analyses ◽  
Main Target ◽  
Relevant Factors

Abstract Background Students’ ratings of bedside teaching courses are difficult to evaluate and to comprehend. Validated systematic analyses of influences on students’ perception and valuation of bedside teaching can serve as the basis for targeted improvements. Methods Six hundred seventy-two observations were conducted in different surgical departments. Survey items covered the categories teacher’s performance, student’s self-perception and organizational structures. Relevant factors for the student overall rating were identified by multivariable linear regression after exclusion of variable correlations > 0.500. The main target for intervention was identified by the 15% worst overall ratings via multivariable logistic regression. Results According to the students the success of bedside teaching depended on their active participation and the teacher’s explanations of pathophysiology. Further items are both relevant to the overall rating and a possible negative perception of the session. In comparison, negative perception of courses (worst 15%) is influenced by fewer variables than overall rating. Variables that appear in both calculations show slight differences in their weighing for their respective endpoints. Conclusion Relevant factors for overall rating and negative perception in bedside teaching can be identified by regression analyses of survey data. Analyses provide the basis for targeted improvement.

scholarly journals Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuters

2021 ◽  
Author(s):  
Aliaksandr Malokin ◽  
Giovanni Circella ◽  
Patricia L. Mokhtarian
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Willingness To Pay ◽  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Revealed Preference ◽  
Northern California ◽  
Factors Affecting ◽  
The Impact

AbstractMillennials, the demographic cohort born in the last two decades of the twentieth century, are reported to adopt information and communication technologies (ICTs) in their everyday lives, including travel, to a greater extent than older generations. As ICT-driven travel-based multitasking influences travelers’ experience and satisfaction in various ways, millennials are expected to be affected at a greater scale. Still, to our knowledge, no previous studies have specifically focused on the impact of travel multitasking on travel behavior and the value of travel time (VOTT) of young adults. To address this gap, we use an original dataset collected among Northern California commuters (N = 2216) to analyze the magnitude and significance of individual and household-level factors affecting commute mode choice. We estimate a revealed-preference mode choice model and investigate the differences between millennials and older adults in the sample. Additionally, we conduct a sensitivity analysis to explore how incorporation of explanatory factors such as attitudes and propensity to multitask while traveling in mode choice models affects coefficient estimates, VOTT, and willingness to pay to use a laptop on the commute. Compared to non-millennials, the mode choice of millennials is found to be less affected by socio-economic characteristics and more strongly influenced by the activities performed while traveling. Young adults are found to have lower VOTT than older adults for both in-vehicle (15.0% less) and out-of-vehicle travel time (15.7% less), and higher willingness to pay (in time or money) to use a laptop, even after controlling for demographic traits, personal attitudes, and the propensity to multitask. This study contributes to better understanding the commuting behavior of millennials, and the factors affecting it, a topic of interest to transportation researchers, planners, and practitioners.

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