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 Travel mode choice preferences of urban commuters in Kuching City, Malaysia based on stated preference data

2018 ◽  
Vol 181 ◽  
pp. 02007
Author(s):  
Resdiansyah
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Stated Preference ◽  
Mode Choice ◽  
Travel Behaviour ◽  
Transportation Systems ◽  
Choice Modelling ◽  
Public Transport System ◽  
Bus Services

One aspect of Kuching City that has not progressed in tandem with the rest of the city is the public transport system, which is relatively old and almost non-existent. Transport and City planners seem to be at their wit’s end in coming up with satisfactory solutions to Kuching’s public transportation woes. In current situation, many proposals, but none have proven workable. As a result, representative buses remain a rare sight on Kuching city’s roads. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The objectives of the intended study are to explore the consumer’s travel behaviour by employing mode choice modelling. Consequently, a study was conducted in Kuching City Area by using stated preference technique, analysed 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 behaviour of the respondents asked. It was discovered that there is a significant relationship between the choice of the respondents and comfortability. It also appeared that longer travel time did not affect for the traveler’s 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.

Stochastic Simulation of Bus Traveling Time

2011 ◽  
Vol 186 ◽  
pp. 556-559
Author(s):  
Lian Xue ◽  
Dan Jie Zhao ◽  
Gui Mei Liu
Keyword(s):  
Travel Time ◽  
Stochastic Simulation ◽  
Public Transportation ◽  
Simulation Method ◽  
Service Level ◽  
Transportation Systems ◽  
Travel Time Reliability ◽  
Public Transport System ◽  
Public Transportation Systems ◽  
Bus Travel Time

The development of the city's public transport system has an indispensable role to alleviate the pressure of urban roads. Bus travel time reliability is an important evaluation index of the bus operation service level. The simulation of bus travel time helps us understand the reliability of bus running time. In this paper, we use Monte Carlo stochastic simulation method to calculate the reliability of bus travel time. On this basis, we establish a model of the reliability of public transportation systems to research the reliability of bus travel time.

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.

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.

Accessibility, Affordability, and Addressing Informal Services in Bus Reform: Lessons from Bogotá, Colombia

2017 ◽  
Vol 2634 (1) ◽  
pp. 35-42 ◽  
Author(s):  
Camila Rodriguez ◽  
Tatiana Peralta-Quirós ◽  
Luis A. Guzman ◽  
Sebastian A. Cárdenas Reyes
Keyword(s):  
Public Transportation ◽  
Large Scale ◽  
Developing World ◽  
Public Transit ◽  
Transportation Systems ◽  
Reform Process ◽  
Public Transport System ◽  
Bus Services ◽  
Public Transportation Systems ◽  
The City

Many cities in the developing world are reforming transit by formalizing bus services to capture user and nonuser benefits. A forerunner in transit reform, the city of Bogotá, Colombia, first implemented the TransMilenio bus rapid transit (BRT) system and then more recently undertook a large-scale initiative to formalize and regulate traditional urban buses in the city. This integrated public transport system [Sistema Integrado de Transporte Público (SITP)] is transforming Bogotá’s traditional urban bus system into a regulated, concessionary system with restructured bus routes that integrates operations, fares, and infrastructure with the TransMilenio BRT. An investigation was conducted to determine whether the SITP has increased affordability and employment accessibility for public transit users in Bogotá. Results revealed that most accessibility improvements resulted from the recent expansion (and significantly higher speeds) of TransMilenio rather than the SITP. Results of an analysis conducted with budget constraints to determine affordable accessibility indicated that employment accessibility was reduced overall; however, the new integrated fare increased accessibility over traditional buses, especially on the periphery and in southern areas of the city, as a result of reduced transfer costs. Overall, results partly explain the lack of enthusiasm for the bus reform process on the part of public transit users and the political discomfort that becomes apparent when embarking on this process in developing-world cities. Also, more incremental, flexible reform might be crafted for public transportation systems that are dominated by informal services.

scholarly journals Identifying and Quantifying Factors Determining Dynamic Vanpooling Use

Smart Cities ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 1243-1258
Author(s):  
Konstantinos Tsiamasiotis ◽  
Emmanouil Chaniotakis ◽  
Moeid Qurashi ◽  
Hai Jiang ◽  
Constantinos Antoniou
Keyword(s):  
Travel Time ◽  
Public Transportation ◽  
Travel Behavior ◽  
Stated Preference ◽  
Probit Model ◽  
Multinomial Logit Model ◽  
Sustainable Transportation ◽  
Model Estimation ◽  
Private Car ◽  
Vehicle Travel Time

Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction of dynamic vanpooling in the transportation system. A web-based mode choice survey was designed and implemented for this scope. The stated-preference experiments offered respondents binary hypothetical scenarios with an ordered choice between dynamic vanpool and the conventional modes of transport, private car and public transportation. In-vehicle travel time, total travel cost and walking and waiting time or searching time for parking varies across the choice scenarios. An ordered probit model, a multinomial logit model and two binary logit models were specified. The model estimation results indicate that respondents who are aged between 26 and 35 years old, commute with PT or are members of bike-sharing services were significantly more likely to choose dynamic vanpool or PT than private car. Moreover, respondents who are worried about climate change and are willing to spend more for environmentally friendly products are significantly more likely to use dynamic vanpool in comparison with private cars. Finally, to indicate the model estimation results for dynamic vanpool, the value of in-vehicle travel time is found to be 12.2€ per hour (13.4€ for Munich subsample).

scholarly journals Virus Transmission Risk in Urban Rail Systems: Microscopic Simulation-Based Analysis of Spatio-Temporal Characteristics

2021 ◽  
pp. 036119812110101
Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos
Keyword(s):  
Public Transportation ◽  
Virus Transmission ◽  
Flow Characteristics ◽  
Transportation Systems ◽  
Transmission Risk ◽  
Microscopic Simulation ◽  
Spatial And Temporal Patterns ◽  
Subway System ◽  
Public Transportation Systems ◽  
The Impact

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.

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