scholarly journals Multi-View Interactive Visual Exploration of Individual Association for Public Transportation Passengers

2020 ◽  
Vol 10 (2) ◽  
pp. 628
Author(s):  
Di Lv ◽  
Yong Zhang ◽  
Jiongbin Lin ◽  
Peiyuan Wan ◽  
Yongli Hu
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Visual Exploration ◽  
Passenger Travel ◽  
Working Together ◽  
Transport Safety ◽  
Abnormal Behaviors ◽  
The Relationship ◽  
Pixel Matrix

More and more people in mega cities are choosing to travel by public transportation due to its convenience and punctuality. It is widely acknowledged that there may be some potential associations between passengers. Their travel behavior may be working together, shopping together, or even some abnormal behaviors, such as stealing or begging. Thus, analyzing association between passengers is very important for management departments. It is very helpful to make operational plans, provide better services to passengers and ensure public transport safety. In order to quickly explore the association between passengers, we propose a multi-view interactive exploration method that provides five interactive views: passenger 3D travel trajectory view, passenger travel time pixel matrix view, passenger origin-destination chord view, passenger travel vehicle bubble chart view and passenger 2D travel trajectory view. It can explore the associated passengers from multiple aspects such as travel trajectory, travel area, travel time, and vehicles used for travel. Using Beijing public transportation data, the experimental results verified that our method can effectively explore the association between passengers and deduce the relationship.

THE USE OF STATED PREFERENCE TECHNIQUE TO MODEL MODAL CHOICES

KURVATEK ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Resdian Syah
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Stated Preference ◽  
Transportation Systems ◽  
Choice Modelling ◽  
Working Together ◽  
To Come ◽  
Bus Services ◽  
Public Transportation Systems

Public transportation especially bus services in Kuching City, Malaysia are relatively old and most of the buses are in state of dilapidation. This gives a very bad image on Kuching city and poor perception especially from the tourists and local consumers. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The aim of the study is to explore the consumer’s travel behavior by employing modal choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analyzed and compiled by using SPSS.17 multiple linear regressions analysis. In this context, discrete choice analysis was used to examine the relationship between independent variables (travel time, waiting time, fares and comfort) and dependent variables (choice of respondent whether to consume old bus or choose new bus services). A total of 2000 respondents were interviewed. The findings showed that for the trips purpose, fares and comfortability were the primary factors that reflected the decision or behavior of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. For the trips purpose to school, recreation, shopping and others, most of the respondents preferred to opt for scenario 5 (travel time 20 min, frequency 20 min, fare RM 2.00, and the level of comfort is good with AC system) which gave the highest demand with the percentage of 75.4%, 55.1%, 70.3% and 69.1% respectively. On the other hand, scenario 3 (travel time 30 min, frequency 15 min, fare RM 2.00, and the level of comfort is good with AC system) was chosen for the purpose of working trips with the percentage of 50.5% respectively. Thus, it can be concluded that scenario 5 is the most appropriate condition to be implemented for the future bus services to serve the consumers in Kuching city subjected to a condition whereby the bus operators need to deliver a better, comfortable and reasonable fares bus services. It also appeared that longer travel time did not affect for the travelers choice at this stage. Hence, the study suggests that the local authority and the bus operators should establish a “quality partnership” and working together in order to come out with a much better and appropriate transport policy and schemes for the existing public transportation systems, especially bus services. 

scholarly journals Estimation of Travel Time Spending by Urban Transport Passengers

2020 ◽  
Vol 18 (3) ◽  
pp. 28-43
Author(s):  
I. V. Spirin
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Transport ◽  
Analysis Methodology ◽  
Passenger Travel ◽  
Relationship Of ◽  
Vehicle Travel Time ◽  
The Relationship ◽  
Point Of Departure

The objective of the article is to obtain dependencies linking time spent by passengers on travel by public transport with the main factors that form the elements of this time spending. The research used methods of analytical modelling, mathematical and transport statistics, survey, analytical and logical analysis, methodology of transport research.Mathematical models for estimating passenger travel time in cities using public transport are considered. Attention is drawn to formation of each of the elements of travel time and to the relationship of these elements with each other. Such elements comprise time of walking to the stopping point of departure and of walking from the stopping point of arrival to the destination of the trip; waiting time for boarding a vehicle; travel time spent in a vehicle along the route. The dependences of these elements on the factors that form time spending have been identified. The increase in time spent waiting for boarding a vehicle is investigated depending on reduction in the planned number of vehicles due to breakdowns. The above models can be used in transport planning and assessing quality o f public transportation in terms of passenger travel time.

scholarly journals A Choice Too Far: Transit Difficulty and Early High School Transfer

2020 ◽  
pp. 0013189X2094950 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey Grigg
Keyword(s):  
High School ◽  
Travel Time ◽  
Administrative Data ◽  
Public Transportation ◽  
School System ◽  
Ninth Grade ◽  
Public School System ◽  
Baltimore City ◽  
School Transfer ◽  
The Relationship

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014–2015 to estimate the relationship between travel time on public transportation and school transfer during the ninth grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we found that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.

scholarly journals The impacts of mediating the work environment on the mode choice in work trips

2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono
Keyword(s):  
Work Environment ◽  
Public Transportation ◽  
Travel Behavior ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Long Time ◽  
Socio Economic Variables ◽  
The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

scholarly journals By Using Model Shift and Improving The Walking Facilities: A Case Study In Kuala Lumpur, Malaysia

2014 ◽  
Vol 3 (4) ◽  
pp. 184
Author(s):  
Ali A Mohammed
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Cost Reduction ◽  
Kuala Lumpur ◽  
Private Car ◽  
Spss Software ◽  
Privately Owned ◽  
Main Attraction

The recent increase in privately owned vehicles has caused numerous problems: traffic congestions, unnecessary fuel lost and global warming are only few of these problems. This study will try to understand people’s behavior and modal choice and try to sway them to means of public transportation. A survey of mode choice between cars users in a neighborhood in Kuala Lumpur was conducted. A total of 25 surveys were collected over the course of a month. Among data collected were demographic details such as age, gender, educational level and travel behavior. The data was processed by SPSS software to determine which factors encourages and discourages using private, public transportation or walking. The study highlighted four models travel time reduction, travel cost reduction, and increase the parking charges and improves the walking facility. The sensitivity analysis results show that the main attraction that might switch private car users is travel time and improving the walking facility. The consequences of these would be less traffic on the roads contributing to less pollution and greater safety.

scholarly journals Impact of Automated Vehicles on Travel Mode Preference for Different Trip Purposes and Distances

2019 ◽  
Vol 2673 (5) ◽  
pp. 607-616 ◽  
Author(s):  
Peyman Ashkrof ◽  
Gonçalo Homem de Almeida Correia ◽  
Oded Cats ◽  
Bart van Arem
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Stated Preference ◽  
Transport Service ◽  
Automated Driving ◽  
Long Distance ◽  
Wide Range ◽  
Socio Economic Variables ◽  
Travel Distances

Because of technology penetration in the transportation system, the automated vehicle (AV) is set to be a future mode of transport. Given the major implications of AVs, investigation of the potential impact of these vehicles on travel behavior is vital for a wide range of purposes, especially for policy making. In this study, we report the results of a stated preference survey distributed in the Netherlands in which respondents had to choose between conventional cars, public transportation, and AVs for different travel distances and trip purposes. Having collected information from 663 respondents we conducted an integrated study incorporating classic trip attributes (such as travel time and travel costs), attitudinal factors, and socio-economic variables to understand people’s choices. We studied a particular form of AVs, automated driving transport service (ADTS), which we defined as an automatically controlled door-to-door transport service provided by a vehicle with similar dimensions to a conventional car, albeit driverless. Results suggest that travelers’ mode preferences vary significantly for different travel distances and purposes. We found that conventional cars and public transportation are perceived as being the least attractive alternatives in relation to in-vehicle travel time on short- and long-distance commuting trips, respectively. Preference for ADTS lay between the car and public transportation, neither the best nor the worst alternative in all scenarios. Our findings suggest that ADTS adopters are likely to prefer this mode for long-distance leisure trips rather than short-distance commuting trips.

scholarly journals A Choice Too Far: Transit Difficulty and Early High School Transfer

2021 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey A. Grigg
Keyword(s):  
High School ◽  
Travel Time ◽  
Administrative Data ◽  
Public Transportation ◽  
School System ◽  
Public School System ◽  
Baltimore City ◽  
9Th Grade ◽  
School Transfer ◽  
The Relationship

The challenge of a long and difficult commute to school each day is likely to wear on students leading some to change schools. We use administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014-15 to estimate the relationship between travel time on public transportation and school transfer during the 9th grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we find that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.

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