Public Transport Choice Behaviour in Thimi Bhaktapur

2020 ◽  
Vol 8 ◽  
pp. 38-45
Author(s):  
Sarita Prajapati ◽  
Pradeep Kumar Shrestha
Keyword(s):  
Travel Time ◽  
Waiting Time ◽  
Public Transport ◽  
Choice Model ◽  
Multinomial Logistic Model ◽  
Factors Affecting ◽  
The Public ◽  
Transport Choice ◽  
And Gender ◽  
Walking Time

The public transport users tend to shift public transport mode in search of a better one. The choice depends on the various attributes of public transport, such as travel time, waiting time, comfort, safety, etc. Since there were competition among different public modes, such as buses, minibuses, microbuses, and even three-wheeler (tempo), the sustainability of the public transport directly depends on the public or users. The users continue to use those public transport which meet their expected level of service. This study focuses on examining attributes of different public transport alternatives available, investigating factors affecting preference of public transport alternatives and developing choice model for public transport alternatives. Multinomial logistic model was developed from the SPSS to find the probability of selecting particular public transport. The public transport choice among the four alternatives, whose destination was same, was found to be influenced by the variables, such as monthly income, age, travel time, walking time, waiting time, fare and gender. The model helps to understand the choice behavior of traveler and can be used for transport planning in future.

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.

scholarly journals The Analysis and Evaluation Assessment of Safety of Selected Types of Exploitation Systems Means of Transport / Analiza i Ocena Porównawcza Bezpieczeństwa Działania Wybranych Typów Systemów Eksploatacji Środków Transportowych

2015 ◽  
Vol 33 (1) ◽  
pp. 197-208
Author(s):  
Łukasz Muślewski ◽  
Piotr Bojar ◽  
Łukasz Muciok ◽  
Michał Lewalski
Keyword(s):  
Public Transport ◽  
Urban Areas ◽  
Complex Structure ◽  
Assessment Criteria ◽  
Safe Operation ◽  
Factors Affecting ◽  
The Public ◽  
Analysis And Evaluation ◽  
Transport Services ◽  
Public Transport Services

Abstract In a situation of increasing the supply of means of individual transport and not capable of following the development of infrastructure, an important issue is the issue of ensuring adequate levels of efficiency, safety and the competitiveness of the operation of the exploitation of public transport services. Factors affecting the safe operation pending exploitation systems of vehicles, in a differentiated way affect the level of safety provided services in smaller cities - up to 100 thousand inhabitants, with respect to the cities which are agglomerations of more complex structure, which are cities the number to 500 thousand inhabitants. This paper attempts to analyze and evaluate the safety of the operation of the public transport services exploitation, on the basis of the same assessment criteria, comparing two different sized urban areas.

scholarly journals The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4163
Author(s):  
Jamil Hamadneh ◽  
Domokos Esztergár-Kiss
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Travel Behavior ◽  
Autonomous Vehicles ◽  
Fleet Size ◽  
The Public ◽  
Levels Of Automation ◽  
Multi Agent ◽  
Transport Modes ◽  
The Impact

Introducing autonomous vehicles (AVs) on the market is likely to bring changes in the mobility of travelers. In this work, extensive research is conducted to study the impact of different levels of automation on the mobility of people, and full driving automation needs further study because it is still under development. The impacts of AVs on travel behavior can be studied by integrating AVs into activity-based models. The contribution of this study is the estimation of AVs’ impacts on travelers’ mobility when different travel demands are provided, and also the estimation of AVs’ impact on the modal share considering the different willingness of pay to travel by AVs. This study analyses the potential impacts of AVs on travel behavior by investigating a sample of 8500 travelers who recorded their daily activity plans in Budapest, Hungary. Three scenarios are derived to study travel behavior and to find the impacts of the AVs on the conventional transport modes. The scenarios include (1) a simulation of the existing condition, (2) a simulation of AVs as a full replacement for conventional transport modes, and (3) a simulation of the AVs with conventional transport modes concerning different marginal utilities of travel time in AVs. The simulations are done by using the Multi-Agent Transport Simulation (MATSim) open-source software, which applies a co-evolutionary optimization algorithm. Using the scenarios in the study, we develop a base model, determine the required fleet size of AVs needed to fulfill the demand of the different groups of travelers, and predict the new modal shares of the transport modes when AVs appear on the market. The results demonstrate that the travelers are exposed to a reduction in travel time once conventional transport modes are replaced by AVs. The impact of the value of travel time (VOT) on the usage of AVs and the modal share is demonstrated. The decrease in the VOT of AVs increases the usage of AVs, and it particularly decreases the usage of cars even more than other transport modes. AVs strongly affect the public transport when the VOT of AVs gets close to the VOT of public transport. Finally, the result shows that 1 AV can replace 7.85 conventional vehicles with acceptable waiting time.

scholarly journals Identification of Factors to Improve Public Transit Services (A Case Study of Prithvi Chowk to Talchowk Section of Prithivi Highway)

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Saroj Baral ◽  
Prem Nath Bastola
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transit ◽  
The Public ◽  
Public Transport System ◽  
Transit Services ◽  
Transport Carrier ◽  
Time Required ◽  
Causes Of Delays

This research presents studies on a segment of highway to determine the quantitative factors that inuence transit services. Travel time and delay study is one of the method to determine quantitative factors. Tour time is described as the average period of time required to journey from one region to some other. Total departure time consists of gadgets which include total working time, places and general delay time. The examine section was done in Prithvi chowk to Tal chowk of Prithvi Highway which is turned to be 12.5 km long. Additionally, it has been found that the principle variables affecting travel time are: postpone time because of forestall selecting and choosing up passengers, bus model and bus size.32 trips public transport carrier and a 10 trips non-public automobile journey have been held during peak hours. Models are developed the use of SPSS software to become aware of the relationship between the causes of delays and the overall-time delays. Travel time and learning delays can help reduce the number of private vehicles operating and increase the number of public vehicles in order to reduce congestion and improve the e efficiency of the public transport system. It turned into determined that there was a full-size distinction in tour time among the use of the public transit services and the car.

scholarly journals Economic Investigation of a Public Transport Support Policy: A Case Study at Budapest

2017 ◽  
Vol 29 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Mohammad Maghrour Zefreh ◽  
Ferenc Meszaros ◽  
Raimundas Junevičius ◽  
Adam Torok
Keyword(s):  
Waiting Time ◽  
Public Transport ◽  
Co2 Emission ◽  
Marginal Cost ◽  
Marginal Benefit ◽  
The Public ◽  
Support Policy ◽  
Monetary Gain ◽  
Real Costs

This paper analyses the effect of supporting the public transport policy based on intersection controlling with the aim of tram priority in Budapest, as a case study. The hypothesis related to this study was that the support of public transport is only viable when the marginal benefit of public transport is higher than the marginal cost of individual transport. Therefore, the real costs of this support for the society were estimated. This study revealed that by applying this policy, the waiting time at intersections and CO2 emission-related costs have increased by about 13.7% and 14.2%, respectively. Besides, the estimated monetary gain of tram users would be 17,800 euro on a daily level total by applying the mentioned policy.

Value of Travel Time for Public Transport Passenger in Urban and Intercity Trip

2016 ◽  
Vol 845 ◽  
pp. 408-415
Author(s):  
Amirotul M.H. Mahmudah ◽  
Djoko Sarwono ◽  
R.I. Pramesty ◽  
P.S. Rahina
Keyword(s):  
Travel Time ◽  
Low Income ◽  
Public Transport ◽  
Stated Preference ◽  
Multiple Linear Regression Model ◽  
Oil Consumption ◽  
The Public ◽  
Trip Purpose ◽  
Time Value ◽  
Study Results

Travel time value of public transport passengers is one of important variables in decision making about transport policy. Giving subsidy for public transport and allocate it to the right passenger will result in more benefits for the passenger of public transport. And as an effect it will increase the number of passengers then increase the public transport usage. As a result, it will reduce the number of private car usage which will reduce the air pollution and oil consumption and finally support sustainability transport. In this study, Travel time value based on questionnaire data, which is designed with stated preference with route choice approach. The multiple linear regression model is used to analyzed factors that influence public transport values of travel time, and traveler's income and trip purpose are introduced as categories. The study results indicate, in general, travel time value of regional trips is higher than urban travel. In Urban trip, travel time values for school is higher than values for work and other travels, while, for intercity travel, time value for work are higher than school and other travels. It can be comprehended since in this study the passenger of the urban trip who the travel purpose is work has low income. In common, when the personal income increase the travel time value also increase. But within this study, the public transport passengers who have no income consist of students, and their school regulations give hard punishment when their students come late. Based on that, the passenger with no income their travel time value is higher than the passengers have the lowest income.

scholarly journals Modeling the Modal Shift towards a More Sustainable Transport by Stated Preference in Riyadh, Saudi Arabia

2021 ◽  
Vol 13 (1) ◽  
pp. 337
Author(s):  
Zaher Youssef ◽  
Habib Alshuwaikhat ◽  
Imran Reza
Keyword(s):  
Saudi Arabia ◽  
Travel Time ◽  
Choice Model ◽  
Stated Preference ◽  
Marginal Effect ◽  
Structured Interviews ◽  
Modal Shift ◽  
Fuel Price ◽  
The Government ◽  
Walking Time

The need to gain a comprehensive understanding of road travelers’ choice of mode and their perceptions of using sustainable urban mobility modes have evolved to shape the form of future transport planning and policymaking. To combat the concern of growing traffic congestion in Riyadh City, the government of Saudi Arabia designed and introduced a sustainable public transport project named “Riyadh Metro”. This study explores the potential commuters’ perception towards the Metro services and the factors that limit their propensity to use Metro and understand the tradeoffs that the individuals make when they are faced with a combination of mode characteristics (e.g., travel time, price, walking time). The stated preferences experiment was conducted on a sample from the Riyadh neighborhood by structured interviews. A discrete choice model based on binary logistic regression has been developed. The coefficient of travel attribute: travel time, fuel cost, Metro fare, and walking time was found to be statistically significant with a different effect on mode choice. The elasticity of the coefficient showed that an increase in the fuel price by 10% would increase the metro ridership by 5.3% and reduce car dependency. Decreasing the walking time by 5 min to the metro station will increase the metro ridership by 22%. Furthermore, the study revealed that implementing a 1 SAR/hour parking charge will decrease car dependency by 14%. Increase Metro fare by 10% will decrease Metro ridership by 6.9%. The socioeconomic factors coefficient shows a marginal effect on the choice decision of passengers.

scholarly journals The Influence of the Duration of Journey Stages on Transport Mode Choice: A Case Study in the City of Tarnow

2021 ◽  
Vol 13 (11) ◽  
pp. 5922
Author(s):  
Marek Bauer ◽  
Piotr Kisielewski
Keyword(s):  
Public Transport ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Local Conditions ◽  
Factors Affecting ◽  
Private Car ◽  
Transport Choice ◽  
Mode Of Transport ◽  
The City

In this paper, we present the effect of making too many private car journeys on city transport systems. A sustainable approach for the development of transport infrastructure is needed, which takes into account local conditions and needs, especially for areas with a high density of origins and destinations. The criteria for evaluating public transport and bicycle transport are presented, which, if acceptable to city residents, may lead to changes in transportation behaviors and, thus, a more efficient use of transport in daily travels. Factors affecting the mode of transport choice include the duration of particular stages of a journey, such as reaching the location where the first ride commences/driving from the travel origin, waiting for a vehicle (bus journeys) or ride/drive, and reaching the travel destination of the last ride/drive. Additionally, the possibility of using a car and having a seasonal ticket for public transport were taken into account. In this study, the results of detailed travel research in the Polish city of Tarnow were used. It has been proven that the low share of public transport in daily travels is due, among other things, to excessive time to reach a stop and due to walking to journey destinations, whereas the low share of cycling is mainly due to a lack of comfort and safe cycling infrastructure.

scholarly journals Allowing for Heterogeneity in the Consideration of Airport Access Modes: The Case of Bari Airport

2019 ◽  
Vol 2673 (8) ◽  
pp. 50-61 ◽  
Author(s):  
Angela S. Bergantino ◽  
Mauro Capurso ◽  
Thijs Dekker ◽  
Stephane Hess
Keyword(s):  
Public Transport ◽  
Latent Variable ◽  
Choice Model ◽  
Mode Choice ◽  
Reasonable Assumption ◽  
The Public ◽  
Transport Services ◽  
Variable Approach ◽  
Access Mode ◽  
Airport Access

Mode choice models traditionally assume that all objectively available alternatives are considered. This might not always be a reasonable assumption, even when the number of alternatives is limited. Consideration of alternatives, like many other aspects of the decision-making process, cannot be observed by the analyst, and can only be imperfectly measured. As part of a stated choice survey aimed at unveiling air passengers’ preferences for access modes to Bari International Airport in Italy, we collected a wide set of indicators that either directly or indirectly measure respondents’ consideration of the public transport alternatives. In our access mode choice model, consideration of public transport services was treated as a latent variable, and entered the utility function for this mode through a “discounting” factor. The proposed integrated choice and latent variable approach allows the analyst not only to overcome potential endogeneity and measurement error issues associated with the indicators, but also makes the model suitable for forecasting. As a result of accounting for consideration effects, we observed an improvement in fit that also held in a validation sample; moreover, the effects of policy changes aimed at improving the modal share of public transport were considerably reduced.

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