Exploring the impact of public transport strikes on travel behavior and traffic congestion

2018 ◽  
Vol 12 (8) ◽  
pp. 613-623 ◽  
Author(s):  
Duy Q. Nguyen-Phuoc ◽  
Graham Currie ◽  
Chris De Gruyter ◽  
William Young
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
The Impact

scholarly journals Behavior of Traffic Congestion and Public Transport in Eight Large Cities in Latin America during the COVID-19 Pandemic

2021 ◽  
Vol 11 (10) ◽  
pp. 4703
Author(s):  
Renato Andara ◽  
Jesús Ortego-Osa ◽  
Melva Inés Gómez-Caicedo ◽  
Rodrigo Ramírez-Pisco ◽  
Luis Manuel Navas-Gracia ◽  
...  
Keyword(s):  
Latin American ◽  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Urban Transport ◽  
Control Measures ◽  
Johns Hopkins Hospital ◽  
Large Cities ◽  
Public Data ◽  
The Impact

This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of the contagion process of the pandemic, its impact, and the effectiveness of the implemented health control measures. In this research, data from the IDB Invest Dashboard were used for traffic congestion as well as data from the Moovit© public transport platform. For the daily cases of COVID-19 contagion, those published by Johns Hopkins Hospital University were used. The analysis period corresponds from 9 March to 30 September 2020, approximately seven months. For each city, a descriptive statistical analysis of the loss and subsequent recovery of motorized mobility was carried out, evaluated in terms of traffic congestion and urban transport through the corresponding regression models. The recovery of traffic congestion occurs earlier and faster than that of urban transport since the latter depends on the control measures imposed in each city. Public transportation does not appear to have been a determining factor in the spread of the pandemic in Latin American cities.

scholarly journals Exploring the Influence of Attitudes to Walking and Cycling on Commute Mode Choice Using a Hybrid Choice Model

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Chuan Ding ◽  
Yu Chen ◽  
Jinxiao Duan ◽  
Yingrong Lu ◽  
Jianxun Cui
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
Choice Model ◽  
Mode Choice ◽  
Influential Factors ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact ◽  
Hybrid Choice Model

Transport-related problems, such as automobile dependence, traffic congestion, and greenhouse emissions, lead to a great burden on the environment. In developing countries like China, in order to improve the air quality, promoting sustainable travel modes to reduce the automobile usage is gradually recognized as an emerging national concern. Though there are many studies related to the physically active modes (e.g., walking and cycling), the research on the influence of attitudes to active modes on travel behavior is limited, especially in China. To fill up this gap, this paper focuses on examining the impact of attitudes to walking and cycling on commute mode choice. Using the survey data collected in China cities, an integrated discrete choice model and the structural equation model are proposed. By applying the hybrid choice model, not only the role of the latent attitude played in travel mode choice, but also the indirect effects of social factors on travel mode choice are obtained. The comparison indicates that the hybrid choice model outperforms the traditional model. This study is expected to provide a better understanding for urban planners on the influential factors of green travel modes.

The Impact of Subsidised Low-Fare Public Transport on Travel Behaviour

1986 ◽  
Vol 4 (2) ◽  
pp. 233-246 ◽  
Author(s):  
A Hay
Keyword(s):  
Special Reference ◽  
Public Transport ◽  
Traffic Congestion ◽  
Income Redistribution ◽  
Travel Behaviour ◽  
The Other ◽  
City Centre ◽  
Beneficial Effects ◽  
The Impact

In this paper, changes in travel behaviour in Sheffield-Rotherham (1972-1981) and Manchester-Salford (1976–1982) are compared with special reference to the effect of bus fare levels in real terms, which fell by about 70% in Sheffield-Rotherham but remained constant in Manchester-Salford. The analysis is directed to seven distinct household types, and overall changes in bus trip rates, estimated elasticities, effects on traffic congestion, city centre use, mobility of low mobility groups, and income redistribution are examined. The conclusion is made that although reducing real fares resulted in higher levels of bus patronage, evidence for the other beneficial effects was absent.

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 User Preferences for Bus Map Design: Evidence from a Map Usability Study

2019 ◽  
Vol 2 ◽  
pp. 1-6
Author(s):  
Mohd Shahmy Mohd Said ◽  
David Forrest
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Traffic Congestion ◽  
User Preferences ◽  
Modal Shift ◽  
Map Design ◽  
Bus Service ◽  
Mode Of Transport ◽  
Bus Services ◽  
The Impact

<p><strong>Abstract.</strong> This study represents the final stage of an investigation into understanding the variation in bus map design and the impact of map design preferences in public transportation information portrayal, with a particular focus on Malaysia. In many cities, bus services represent an important facet of easing traffic congestion and reducing pollution. However, with the entrenched car culture in many countries, persuading people to change their mode of transport is a major challenge. To promote this modal shift, people need to know what services are available and where (and when) they go. Bus service maps provide an invaluable element of providing suitable public transport information, but are often overlooked by transport planners, and are under-researched by cartographers. There are various approaches to the design of bus maps, but it is always an issue for the authorities to understand which designs are preferred by the public and which perform best in conveying the required information. A total of 100 Malaysians completed six journey-planning tasks using two network bus maps, which were different in designs. The two bus map designs involved in this study are based on previous map analysis research.</p><p>The study found that majority of respondents were competent as they successfully completed the journey planning task, with more than 80 percent of the tasks being answered correctly. Additional enquiries proved that the effective design used in a bus map can attract more users to use public transportation, thus provide evidence that map availability can play a part in enhancing public transport ridership.</p>

scholarly journals The Impact of Congestion on the Costs of Public Transport in Starogard Gdański

2019 ◽  
Vol 84 ◽  
pp. 7-18
Author(s):  
Marek Gierszewski ◽  
Aleksandra Koźlak
Keyword(s):  
Fuel Consumption ◽  
Public Transport ◽  
Traffic Congestion ◽  
Negative Impact ◽  
Urban Transport ◽  
Ticket Sales ◽  
Transport Services ◽  
Opt Out ◽  
High Level ◽  
The Impact

Congestion in the urban transport network is common not only in large agglomerations, but also in medium-sized cities in all countries that are characterized by a high level of socio-economic development. Traffic congestion has negative impact on economic, social, and environment development. The costs of congestion are borne by all users of the transport system, both drivers, passengers, entities providing transport services, as well as enterprises using freight transport services. The purpose of the article is to discuss the results of the study on the impact of congestion on the costs of public transport in a medium-sized city. The research method consisted in the analysis of vehicle road cards, fuel consumption statements for buses belonging to the Municipal Transport Company in Starogard Gdański and the examination of real bus travel times and the scale of delays caused by congestion on individual lines. The analysis of the data shows that thecompany bears much higher costs of fuel consumption, and passengers are exposed to bus arrivals and departures inconsistently with the timetable, prompting them to opt out of public transport services. This results in lower revenues from ticket sales and deterioration of the company’s financial result.

scholarly journals Analysis of Bus Passenger Demand and Supply: Case Study on Western Province, Sri Lanka

2021 ◽  
Vol 9 (11) ◽  
pp. 2544-2554
Author(s):  
Thivya Amalan
Keyword(s):  
Sri Lanka ◽  
Public Transport ◽  
Traffic Congestion ◽  
Traffic Information ◽  
Demand And Supply ◽  
Western Province ◽  
Passenger Demand ◽  
High Level ◽  
Road Corridors ◽  
The Impact

Buses carried about 47% of passengers crossing the Colombo Municipal Council (CMC) boundary in 2013. The Sri Lanka Transport Board (SLTB) and private bus companies operates roughly 680 intra-provincial bus routes and 400 inter-provincial bus routes in the Western Province according to the bus route information from the National Transport Commission (NTC, 2012) . The number of buses on the seven (7) major radial corridors carries more bus passengers than other roads in the Western Province. Kandy, Galle and Malabe Road corridors are the highest followed by High Level, Negombo, Horana and Low Level Road corridors. This research paper is an attempt to analyse the bus passenger demand and supply on seven major corridors connecting Western Province boundaries. The impact of the passenger demands and volumes from the seven major corridors and the traffic speed are the main outcome of this analysis. The present bus traffic information and the impact of the traffic congestion due to the high traffic flow on major corridors are discussed in the analysis. The research will also focus on alternative solutions and the importance of integrating other public transport modes to cater the demand from the major seven corridors for the better utilisation of public transport inside the Western Province boundaries.

scholarly journals Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China

2020 ◽  
Vol 12 (1) ◽  
pp. 376 ◽  
Author(s):  
Xiaoning Liu ◽  
Linjie Gao ◽  
Anning Ni ◽  
Nan Ye
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Logit Model ◽  
Mode Choice ◽  
Transportation Systems ◽  
Sustainable Transportation ◽  
Travel Mode ◽  
Transportation Modes ◽  
Main Factors

Alleviating traffic congestion and developing sustainable transportation systems in a city can be assisted by promoting environmentally friendly transportation modes such as walking, cycling, and public transport. Strategies for promoting these desirable transportation modes can be identified based on a sound understanding of how commuters choose travel modes. In this study, multi-day commuting travel mode data was used to explore factors that influenced commute mode choice. A multinomial logit model and a binary logit model were proposed to study commuter travel behavior. The results showed the following. (1) Age, gender, and marriage indirectly influence the commute mode choice; (2) The cost of travel mode has little effect on commute mode choice; (3) The probability of commute mode change mainly influences the car mode choice; (4) The number of transfer times and the distance to the nearest public transport stations are main factors that restrict commuters from choosing public transport; (5) The number of bicycles in the family and commute distance are main factors that restrict commuters from choosing cycling for commuting. Based on these findings, several potential measures are demonstrated to policymakers and transportation planners to alleviate traffic congestion and develop sustainable transportation systems.

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