scholarly journals Effects from usage of pre-trip information and passenger scheduling strategies on waiting times in public transport: an empirical survey based on a dedicated smartphone application

2019 ◽  
Author(s):  
Ulrik Berggren ◽  
Karin Brundell-Freij ◽  
Helena Svensson ◽  
Anders Wretstrand
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Waiting Times ◽  
Personal Characteristics ◽  
Ground Truth ◽  
Travel Behaviour ◽  
Smartphone Application ◽  
Time Of Day ◽  
Trip Purpose ◽  
Departure Time

AbstractWaiting times are important indicators of the degree of travel time optimisation and other behavioural traits among public transport (PT) passengers. As previous studies have shown, the level and usage of pre-trip information regarding schedule or real-time departures are important factors that influence the potential to realise travel time savings by enabling PT passengers to optimise waiting times. Most empirical evidence regarding the revealed PT travel behaviour concerning information levels is based on manual interviews or traditional travel surveys, in which there is a risk that the actual context of where and when the choice of departure time was made is not taken into account. This paper reports the results of a travel survey based on a dedicated smartphone application applied in a field study in a Swedish mid-size urban and regional context. Context-aware notification prompting was used to allow respondents to state their use of pre-trip information as well as whether they had pre-planned their trip and how contingent planning aids were used for time optimisation. The implications on passenger waiting times of the use of information regarding departure times by passengers were emphasised during analyses of the resulting data, along with personal characteristics, in which auxiliary sources such as timetable data and Automatic Vehicle Location were utilised to determine ground truth trip trajectories and trip-contextual factors. The results indicate the significance of having access to pre-trip information, especially for long trips above one hour’s duration, in order to pre-plan and thereby optimise waiting times. In addition, the use and source of pre-trip information differ among age and gender groups. Trip purpose and time of day to some extent determine waiting times and choice of trip optimisation strategy (arrival or departure time).

scholarly journals Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Samir Awad-Núñez ◽  
Raky Julio ◽  
Juan Gomez ◽  
Borja Moya-Gómez ◽  
Julián Sastre González
Keyword(s):  
Willingness To Pay ◽  
Public Transport ◽  
Nationwide Survey ◽  
Travel Behaviour ◽  
Revealed Preferences ◽  
Trip Purpose ◽  
Willingness To Adopt ◽  
Shared Mobility ◽  
Considerable Impact ◽  
Willingness To Use

Abstract Background The COVID-19 crisis has meant a significant change in the lifestyle of millions of people worldwide. With a lockdown that lasted almost three months and an impulse to new normality, transport demand has suffered a considerable impact in the Spanish case. It is mandatory to explore the effect of the pandemic on changes in travel behaviour in post-COVID-19 times. Methodology A nationwide survey was carried out during the lockdown in Spring 2020 to overview the recent changes. The survey collected both stated preferences (socio-demographic characteristics and mobility-related attributes), and revealed preferences (individuals’ habits, especially in the frequency of the trips according to the trip purpose, and opinions regarding the willingness and acceptability of these changes, and which actors would have to drive them, and how) of individuals. This paper aims to study and understand the willingness to adopt a set of measures to improve the safety conditions of public transport and shared mobility services against possible contagion from COVID-19 and the willingness to pay for them. Results The results obtained show that some measures, such as the increase of supply and vehicle disinfection, result in a greater willingness to use public transport in post-COVID-19 times. Similarly, the provision of covers for handlebars and steering wheels also significantly increases individuals’ willingness to use sharing services. However, respondents expect that these measures and improvements would be implemented but maintaining the same pre-COVID-19 prices. The results of this research might help operators deploy strategies to adopt their services and retain users.

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.

scholarly journals Evaluating accessibility of small communities via public transit

2020 ◽  
Vol 56 (4) ◽  
pp. 59-72
Author(s):  
Antonio Danesi ◽  
Simone Tengattini
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transit ◽  
Time Of Day ◽  
Educational Work ◽  
Small Communities ◽  
Schedule Delay ◽  
Total Travel Time ◽  
Travel Impedance ◽  
The City

Accessibility to and from urban centres allows small communities’ dwellers to participate in primary activities and use essential services that are not available on-site, such as educational, work and medical services. Public transport networks are supposed to enhance accessibility and pursue equity principles, overcoming socio-economical differences among people that can exacerbate during crisis. In this paper a methodology is proposed and implemented to assess small communities’ accessibility via public transit. A metric is defined based on the calculation of total travel time, taken as a proxy of travel impedance, with consideration of in-vehicle time, schedule delay and users’ arrival and departure preference curves (i.e. time-of-day functions). A “rooftops” model is specified and implemented under the assumption that travellers cannot accept (scheduled) late arrival or early departure time penalties before and after the participation in their activities in the main urban centre, as many activities rarely admit time-flexibility. Also, a public transport specific impedance factor (PTSIF) is proposed, in order to account for travel impedance determinants, which are a consequence of service scheduling and routing decisions and not due to inherent geographical and infrastructural disadvantages affecting car users too. An application of the methodology for the city of Cesena, Italy, and 90 surrounding small communities is presented. The city is served by train and bus services. Assessment of small communities' accessibility based on both total travel time and PTSIF is presented and discussed. This practice-ready quantitative method can help transport professionals to evaluate impacts on small communities’ accessibility in light of public transport service changes or reduction. Quantitative approach to support strategic decisions is needed, for example, both to assess public transport strengthening politics against depopulation of rural and marginal mountainous areas and to mitigate the effects of possible increasing concentration of services towards high-demand lines, which may follow as a consequence of budget cuts or contingencies, such as vehicle capacity reductions required by sanitary emergencies.

scholarly journals Can a polycentric structure affect travel behaviour? A comparison of Melbourne, Australia and Riyadh, Saudi Arabia

2014 ◽  
Vol 22 (3) ◽  
pp. 156-166 ◽  
Author(s):  
M. Alqhatani ◽  
S. Setunge ◽  
S. Mirodpour
Keyword(s):  
Travel Time ◽  
Scenario Analysis ◽  
Public Transport ◽  
Transport Model ◽  
Urban Expansion ◽  
Travel Behaviour ◽  
Private Car ◽  
The Impact ◽  
Productive Time ◽  
Public Transport Service

Abstract This study models the impact of the shift from a monocentric private-car-oriented city to polycentric public-transport-oriented city. Metropolitan areas have suffered traffic problems—in particular increase in travel time and travel distance. Urban expansion, population growth and road network development have led to urban sprawl in monocentric cities. In many monocentric cities, travel time and distance has steadily increased and is only expected to increase in the future. Excessive travel leads to several problems such as air pollution, noise, congestion, reduction in productive time, greenhouse emissions, and increased stress and accident rates. This study examines the interaction of land use and travel. A model was developed and calibrated to Melbourne and Riyadh conditions and used for scenario analysis. This model included two parts: a spatial model and a transport model. The scenario analysis included variations of residential and activity distribution, as well as conditions of public transport service.

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 Spatial and Temporal Distribution of Elderly Public Transport Mode Preference

2021 ◽  
Vol 13 (9) ◽  
pp. 4752
Author(s):  
Kaniz Fatima ◽  
Sara Moridpour ◽  
Tayebeh Saghapour
Keyword(s):  
Public Transport ◽  
Elderly Population ◽  
Temporal Distribution ◽  
Travel Behaviour ◽  
The Elderly ◽  
Temporal Analysis ◽  
Trip Duration ◽  
Transport Mode ◽  
Trip Purpose ◽  
Temporal Study

The elderly population is increasing rapidly. Understanding travel behaviour for this group of commuters (in terms of the trip purpose and travel time) is necessary for future transport planning. Many researchers are working on travel’s spatial and temporal analysis to provide operational decision making and transport network planning. This research study’s primary purpose is to identify the influence of trip duration (using public transport), time of the day (usage of public transport), and public transport (PT) accessibility over public transport mode preference by elderly (over 65 years of age) commuters. The methodology of this study is divided into two parts as spatial analysis and temporal analysis. The research identified the dependency of trip duration, time of the day, geographical areas, and PT access over transport mode preference of elderly. The temporal study shows that transport mode preference can vary depending on trip purposes. However, for specific trip durations and times of the day, the elderly sometimes choose PT as a mobility mode. For instance, on shopping trips between 10:00 and 11:00 a.m., the elderly have a greater possibility of choosing public transport over private vehicles. Moreover, the results show the public transport mode preference based on different times of the day and trip purposes. Urban and transport planner can use the results to modify/plan public transport schedule, which can be easily accessible by the elderly population.

Development of a New Toll Mode-Choice Modeling System for Florida’s Turnpike Enterprise

2003 ◽  
Vol 1858 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Youssef Dehghani ◽  
Thomas Adler ◽  
Michael W. Doherty ◽  
Randy Fox
Keyword(s):  
Travel Time ◽  
Choice Model ◽  
Mode Choice ◽  
Model Development ◽  
Time Of Day ◽  
Choice Modeling ◽  
Fort Lauderdale ◽  
Trip Purpose ◽  
Mode Choice Model ◽  
Mode Choice Modeling

The Florida Department of Transportation Turnpike Enterprise’s recent toll mode-choice model development activities are described. Because the simple toll travel forecasting analysis methods used were not adequate for reliably addressing contemporary toll study issues, there was a need for toll modeling innovations that address trip makers’ toll route decisions as a mode-choice step sensitive to changes in service levels by time of day, trip purpose, and socioeconomic attributes. Innovations developed for Florida’s turnpike began with data-collection efforts and toll model development for the Central Florida (Orlando) region. This represents the next generation of modeling system. Similar efforts are under way for the Miami–Fort Lauderdale area. The Orlando region toll mode-choice model, which is in its final validation phase, includes a statistically estimated nested mode-choice modeling system with a discrete choice for toll travel. The models were developed for a combination of four periods and four trip purposes, including visitor trips. Other key features are ( a) a pre-mode-choice time-of-day process; ( b) a generalized cost-assignment procedure that uses travel time and costs by time of day (rather than travel time alone); ( c) production of zone-to-zone travel time and costs consistent with travel paths; and ( d) a feedback loop process that uses an iterative successive averaging procedure to estimate travel times.

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