Cluster algorithm based on LDA model for public transport passengers' trip purpose identification in specific area

2016 ◽  
Author(s):  
Jingjing Wang ◽  
Xi Chen ◽  
Zhihong Chen ◽  
Lizeng Mao
Keyword(s):  
Public Transport ◽  
Cluster Algorithm ◽  
Specific Area ◽  
Trip Purpose

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.

Public transport trip purpose inference using smart card fare data

2018 ◽  
Vol 87 ◽  
pp. 123-137 ◽  
Author(s):  
Azalden Alsger ◽  
Ahmad Tavassoli ◽  
Mahmoud Mesbah ◽  
Luis Ferreira ◽  
Mark Hickman
Keyword(s):  
Smart Card ◽  
Public Transport ◽  
Trip Purpose

Unreliability of Delay Caused by Bike Unavailability in Bike Share Systems

2020 ◽  
Vol 2674 (5) ◽  
pp. 444-451
Author(s):  
Valentin Beauvoir ◽  
Emily Moylan
Keyword(s):  
Public Transport ◽  
Destination Choice ◽  
User Cost ◽  
Walk Speed ◽  
Trade Off ◽  
Trip Purpose ◽  
User Costs ◽  
Trip Time ◽  
Context Specific ◽  
Bike Share

The recent proliferation of bike share operations has augmented established docked systems in major cities with several stationless operators. By relaxing control of where the bikes may be located, the stationless systems are more agile but less certain. We hypothesize that a stationless bike share system reduces access and egress distance while increasing unreliability, offering a trade-off from the customer’s perspective. This work presents a framework for quantifying the trade-off between expected trip time and variability in trip time for stationed and stationless bike share systems. The systems are modeled subject to shared assumptions where possible, and the trade-off is measured for about 1,000 simulated journeys corresponding to a 1 h simulation. Sensitivity to the shared assumptions is tested to support the generalizability of the results. The findings indicate that stationed systems have higher expected user costs and lower variance in user cost. As expected, the user cost distributions are asymmetrical. This analysis supports the context-specific adoption of stationed or stationless bike share operations based on user attributes (trip purpose, walk speed, destination choice, etc.) and operator attributes (budget for bicycles, support for public transport, value on reliability, etc.).

scholarly journals Modeling Public Transport Users’ Trip Production in Hawassa City, Ethiopia

2021 ◽  
Author(s):  
Girma Gebre ◽  
Emer Tucay Quezon
Keyword(s):  
Linear Regression ◽  
Public Transport ◽  
Traffic Management ◽  
Regression Models ◽  
Explanatory Power ◽  
Linear Regression Models ◽  
Household Level ◽  
Trip Purpose ◽  
Production Models ◽  
Trip Production

Today, overcrowded public transport demand, resulting in huge costs in an urban area. Similarly, there are a lot of people who use public transport in Hawassa city. This study aimed to develop public transport users' trip production models at the household level. Some socio-economic characteristics and trip detail of the public transport users were collected randomly from the different households through a questionnaire survey. The data gathered was fed into IBM SPSS package version 20 to develop linear regression models. The developed models are associated with trips for purpose and time intervals of trips made. The developed linear regression models, general trips, work trips, educational trips, and trips made before 8:00 AM and after 4:00 PM had good explanatory power. The value of explanatory power comprised of 0.656, 0.722, 0.549, 0.610 and 0.510. These values indicated the explanation power of the socio-economic characteristics on the trips made. It means the daily trips production was significantly affected by the number of working individuals, the different age brackets, cars and motorcycles, and the monthly income per household. The most frequent public transport users’ trips production regarding the trip purpose and time are work trips and occurred after 4:00 PM. This scenario represented a good model developed in this study. Hence, it is suggested that Hawassa city’s traffic management office use the developed models to predict the future trips demand to provide a proper scheme to avoid congestion during the peak hour of the day.

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 Travelers’ Attitudes Toward Mobile Application–Based Public Transport Services in Lahore

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098870 ◽  
Author(s):  
Muhammad Ashraf Javid ◽  
Nazam Ali ◽  
Syed Arif Hussain Shah ◽  
Muhammad Abdullah
Keyword(s):  
Public Transport ◽  
Mobile Application ◽  
Structural Equation ◽  
Service Providers ◽  
Mobile App ◽  
Equation Modeling ◽  
Trip Purpose ◽  
Transport Services ◽  
Bus Services ◽  
Public Transport Services

Many cities in developing countries are facing challenges of providing quality public transport facilities to the public. The demand-responsive transport (DRT) initiatives in some cities have helped in providing transportation alternatives to the travelers, and in filling the gap between demand and supply. Recently introduced DRT initiatives in Lahore included the mobile app-based Airlift and Swvl bus services. This article is aimed at evaluating the travelers’ attitudes toward mobile application (app)–based DRT services in Lahore with the help of a questionnaire survey. A questionnaire was designed consisting of travelers’ personal and travel information and their perceptions on selected attributes of Airlift and Swvl bus services. A total of 440 samples were collected through interviews. An exploratory factor analysis (EFA) revealed three factors of service quality, that is, Accessibility and Scheduling Attributes (ASA), Instrumental Attributes (IA), and Service Attraction Attributes (SAA). The results of Structural Equation Modeling (SEM) showed that the ASA, IA, and SAA are significant determinants of travelers’ attitudes toward the existence of Airlift and Swvl bus services in Lahore. These factors have strong correlations with travelers’ intentions to use Airlift and Swvl services in the future. The waiting time at a stop, travelers’ income, vehicle ownership, trip purpose, and profession are also significant in determining the travelers’ attitudes and preferences with app-based public transport services. These findings would be helpful for the service providers and transport planners for making appropriate policies to improve the quality of these services.

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.

scholarly journals Developing a Solution for Mobility and Distribution Analysis Based on Bluetooth and Artificial Intelligence

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7327
Author(s):  
Marius Minea ◽  
Cătălin Dumitrescu ◽  
Ilona Mădălina Costea ◽  
Ionuț Cosmin Chiva ◽  
Augustin Semenescu
Keyword(s):  
Artificial Intelligence ◽  
Public Transport ◽  
Indoor Localization ◽  
Field Tests ◽  
Specific Area ◽  
Cost Effective ◽  
Route Guidance ◽  
Distribution Analysis ◽  
Indoor Location ◽  
Specific Configuration

The purpose of this research was to develop a simple, cost-effective, but enough efficient solution for locating, tracking and distribution analysis of people and/or vehicle flowing, based on non-intrusive Bluetooth sensing and selective filtering algorithms employing artificial intelligence components. The solution provides a tool for analyzing density of targets in a specific area, useful when checking contact proximities of a target along a route. The principle consists of the detection of mobile devices that use active Bluetooth connections, such as personal notebooks, smartphones, smartwatches, Bluetooth headphones, etc. to locate and track their movement in the dedicated area. For this purpose, a specific configuration of three BT sensors is used and RSSI levels compared, based on a combination of differential location estimates. The solution may also be suited for indoor localization where GPS signals are usually weak or missing; for example, in public places such as subway stations or trains, hospitals, airport terminals and so on. The applicability of this solution is estimated to be vast, ranging from travel and transport information services, route guidance, passenger flows tracking, and path recovery for persons suspected to have SARS-COV2 or other contagious viruses, serving epidemiologic enquiries. The specific configuration of Bluetooth detectors may be installed either in a fixed location, or in a public transport vehicle. A set of filters and algorithms for triangulation-based location of detected targets and movement tracking, based on artificial intelligence is employed. When applied in the public transport field, this setup can be also developed to extract additional information on traffic, such as private traffic flowing, or passenger movement patterns along the vehicle route, improved location in absence of GPS signals, etc. Field tests have been carried out for determining different aspects concerning indoor location accuracy, reliability, selection of targets and filtering. Results and possible applications are also presented in the final section of the paper.

scholarly journals TRENDS IN AIRPORT SURFACE ACCESS IN THE LONDON MULTI-AIRPORT SYSTEM

2016 ◽  
Vol 7 (1) ◽  
pp. 1-28
Author(s):  
Richard Moxon
Keyword(s):  
Government Policy ◽  
Public Transport ◽  
Critical Analysis ◽  
Government Action ◽  
Trip Purpose ◽  
Planning Policy ◽  
Airport Access ◽  
The Government ◽  
United Kingdom Government ◽  
Strategy Changes

The London multi-airport system is described and changes in ownership from state organisations to competing private enterprises are assessed. A taxonomy of United Kingdom government action related to airport planning policy is presented with critical analysis in relation to airport surface access strategy. Changes in public transport use by passengers and employees at London airports are quantified to illustrate the success or otherwise of government policy. Passenger groups (defined by nationality and trip purpose) driving the increase in public transport are identified. Current London airport surface access strategic targets for passengers and employees are compared with the early versions suggested by the government to highlight the changed airport approach. Emerging surface airport access issues at London’s airports are discussed.

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