Public Transport Modes Research Articles

KARAKTERISTIK PELAYANAN MIKROLET 09A (TANAH ABANG – KEBAYORAN LAMA)

The 2015 Jabodetabek Transportation Master Plan indicates that Mikrolet are not included in the planned public transport. Tanah Abang - Kebayoran Lama route is a busy route with community activities because it passes through many city activity centers (trade, housing, as well as public and social services). This study examines the needs of the community regarding Mikrolet public transportation services in accordance with the characteristics of microbus services 09A. This research method is carried out by processing the data obtained from the questionnaire and presenting it descriptively, then the results are compared with the service characteristics of other public transportation modes. The results of this study, Mikrolet has characteristics that other modes of public transportation do not have, namely waiting time, affordability of fares, and flexibility of movement.

Paratransit service quality modeling reflecting users' perception-A case study in Dhaka, Bangladesh

Increasing usage of private cars and low service quality of public transport is an acute problem in many developing cities. The prerequisite is to meet the mobility needs, especially for low-income people, to ensure adequate capacity by the service provided. Paratransit is an indispensable mode of public transport, especially where the mass transit system is insufficient. Rapid increase in urban population, per capita income along existing transport infrastructure has stimulated their usage as a cheap and convenient public transport mode. Quality of service is considered as one of the most significant means to assess transit performance. To observe the performance of public transportation in roadway systems, overall passenger perceived service quality (SQ) has always been the most significant means of measurement. This research aims to establish a relationship between SQ variables describing the service of paratransit by Structural Equation Modeling (SEM) based on users' perceptions. An interview survey was conducted off-board to 2025 paratransit users at twenty paratransit routes in Dhaka metropolitan area (Bangladesh). Results show that the attribute of integration with supporting modes has the highest loading, inferring it as the most significant aspect of SQ. Attributes loading value may be explained according to the importance perceived by the users. Several SE models were developed using 21 service variables from 2000 questionnaires. Upon developing different models, the best model with three latent constructs was identified as the main characteristics for explaining the entire set of physical and service performance elements of the paratransit service. Three latent constructs were ‘Quality of transport’, ‘Transit performance’ and ‘Service quality’. Among 21 SQ variables, ‘Security of passenger’, ‘seat comfort level’, and ‘riding safety’ have been found to impart the greatest influence on the overall perceived SQ. The study findings support the data collected from paratransit users. This study may help the paratransit operators to determine variables that are decisive for SQ and their relation with the overall perceived SQ by the users. Understanding SQ variables, influencing passenger perception makes it easier to design and deliver good quality service.

Understanding Travel Mode Choice Behavior: Influencing Factors Analysis and Prediction with Machine Learning Method

Building a multimode transportation system could effectively reduce traffic congestion and improve travel quality. In many cities, use of public transport and green travel modes is encouraged in order to reduce the emission of greenhouse gas. With the development of the economy and society, travelers’ behaviors become complex. Analyzing the travel mode choices of urban residents is conducive to constructing an effective multimode transportation system. In this paper, we propose a statistical analysis framework to study travelers’ behavior with a large amount of survey data. Then, a stacking machine learning method considering travelers’ behavior is introduced. The results show that electric bikes play a dominant role in Jinan city and age is an important factor impacting travel mode choice. Travelers’ income could impact travel mode choice and rich people prefer to use private cars. Private cars and electric bikes are two main travel modes for commuting, accounting for 30% and 35%, respectively. Moreover, the proposed stacking method achieved 0.83 accuracy, outperforming the traditional multinomial logit (MNL) mode and nine other machine learning methods.

ANALISIS PEMILIHAN MODA TRANSPORTASI UMUM MENUJU STASIUN GAMBIR MENGGUNAKAN TRANSPORTASI ONLINE DAN BUS TRANSJAKARTA

Public transportation acts as a sustainable mode of transportation to reduce the increasing level of pollution and traffic congestion. Public transportation has many types, in Jakarta, for example, online transportation and Transjakarta buses. This study aims to analyze the characteristics of online transportation travellers and Transjakarta buses, analyze the chances of choosing between the two modes of public transportation, and determine the level of service according to the community. Data collection using questionnaires distributed at Gambir station. Characteristics of travelers were analyzed using descriptive statistics. The probability of choosing a mode is analyzed using the binary logit difference model with the help of multiple linear regression equations. The level of service of the two modes of public transportation was analyzed using a Likert scale. The results showed that the characteristics of online transportation travellers are dominated by female, of productive age, highly educated, worked as an employee, earned quite a lot of money, traveled for vacation or recreational purposes, and the reason for choosing the mode was getting to the destination quickly. The characteristics of Transjakarta bus travellers are dominated by male, productive age, highly educated, work as an employee, earn quite high, travel for vacation or recreational purposes, and the reason for choosing the mode is the low price. The dominant choice of public transportation mode is online transportation. The level of online transportation services for the security and convenience aspects is in the good category, and the ease and reliability aspects are in the very good category.Keywords: characteristics of travellers, transportation mode, likert scale

Mobility perceptions regarding the COVID-19 pandemic from around the world

The COVID-19 pandemic has entailed profound societal changes at many levels and, in particular, the mobility patterns of communities worldwide. There has been a profound modification in collective travel behaviour, mainly because of the restrictions enforced by governing authorities to reduce the likelihood of infection transmission. Perceptions regarding the severity of the disease and mitigation measures to restrict its spread may have an effect on travel behaviour. This research explores the impact of these perceptions on individuals' travel behaviour by utilising a structural equation modelling approach for different travel modes regarding free-time and leisure mobility. The investigation considers data derived from a global survey performed in nine countries during May 2020, during the first wave of the pandemic. The countries included were Australia, Brazil, China, Ghana, India, Italy, Norway, South Africa, and the United States of America. Results indicate that inhabitants of these countries have various perceptions regarding the effectiveness of travel restrictions for different transport modes. The disease contraction probability is perceived as higher for public transport modes; accordingly, people tend to travel significantly less by train and bus. For some countries, even if the disease restriction policies are considered effective for both private and public transport, survey participants travel less frequently across all travel modes. Active travel or travelling alone is not influenced significantly by an individual’s perceptions of the disease. This study examines the correlations between disease perception and travel behaviour for policymaking to revive sustainable travel transports and active travel, which is essential for improving physical and mental health during the pandemic.

The effects of the urban built environment on public transport ridership: similarities and differences

Understanding the relationship between public transport ridership and the built environment is crucial for the development of sustainable transportation systems. However, few studies have uncovered how the impact of built environment factors differs depending on the mode of public transportation, and there is insufficient evidence regarding the role of built environment factors in different types of ridership and their threshold effects. This paper presents a modeling framework that utilizes multi-source travel data to explore public transport ridership across multiple modes, including bus, transit (bus and metro), taxi, and shared bike ridership. A study conducted in Shenzhen, China found that common factors influence ridership across multiple transportation modes, and their effects vary by public transport mode. The joint contribution of variables related to the transportation network or points of interest to public transport ridership is substantial, but the effect of transportation network variables on different types of ridership varies significantly. Factors such as population density, distance to metro station, intersection density, shopping, and entertainment have similar associations with different types of ridership. The analysis of the active ranges and thresholds of built environment factors provides specific references for enhancing public transportation services or adjusting land use. The findings carry implications for policymakers to promote public transport use.

An adaptive large neighborhood search metaheuristic for a passenger and parcel share-a-ride problem with drones

With the increasing concerns about traffic congestion and climate change, much effort has been made to enhance sustainable urban mobility for passengers and goods. One emerging promising strategy is to transport passengers and goods in an integrated manner, as it could reduce the number of vehicles on the road compared with the separate transportation of passengers and goods. This study proposes the simultaneous transportation of passengers and goods using demand-responsive buses and drones. Compared with the prevalent strategies that rely only on ground vehicles to integrate passenger and parcel transportation, we propose the joint usage of ground vehicles and drones to transport passengers and deliver parcels. The ground vehicles for passenger and parcel delivery are on-demand buses, which combine the advantages of the flexibility of taxis and the large capacity of public transport modes. The drones automatically take off from and land on the on-demand buses’ rooftops and are only for parcel delivery. A new optimization problem that designs the routes for both demand-responsive buses and drones is proposed and denoted as the passenger and parcel share-a-ride problem with drones (SARP-D). A mixed-integer nonlinear programming model is devised; the nonlinearity exists because drone launch/recovery can occur simultaneously with request servicing by a bus at the same node. To solve the model for large-scale instances, we develop an adaptive large neighborhood search metaheuristic. Numerical experiments are conducted to validate the correctness of the model and evaluate the efficiency of the metaheuristic. Moreover, sensitivity analyses are performed to explore the influences of the maximum number of intermediate stops during one passenger request service, the drone flight endurance, and the unit delay penalty on the total cost, which comprises the transportation and delay costs.

Crisis Response Strategy of PT. Angkasa Pura II on the News of Health Protocol Violations at Soekarno-Hatta Airport

Thursday, May 14th, 2020, the public was shocked by the occurrences of violations of health protocol during the pandemic Covid-19 at Soekarno-Hatta Airport. At that time, the government was relaxing the Large-Scale Social Restrictions (PSBB) by re-activating public transportation modes. Reports in the mass media and social media cornered PT. Angkasa Pura II, the airport administrator, is a party that is negligent in managing flight schedules and rules for maintaining distance at the airport. This research objective was to identify the crisis response strategy carried out by PT Angkasa Pura II to overcome the negative news resulting from the incident of health protocol violations at Soekarno-Hatta Airport. The study discusses crisis response strategies derived from Situational Crisis Communication Theory (SCCT). This research method is qualitative. Research data was obtained through interviews, observation, and literature study. The results of this research, AP II crisis response strategies were, (1) rebuilding, the rebuilding response strategy AP II was conducted with an apology. (2) Take corrective actions, AP II made some physical improvements, increasing field staff and warning signs for applicating health protocols in public spaces. And (3) diminishment, the diminishment response strategy AP II was conducted by submitting excuses and justifications. AP II attempts crisis framing by disseminating information about the company's efforts and commitments that are disseminated through the company's website and social media. This step aims to make the public aware of the company's positive efforts to deal with the crisis and the public also understands that AP II has no intention of committing violations.

Influence of real and video-based experiences on stated acceptance of connected public transportation and autonomous vehicles in a transit mall: A hybrid choice modeling approach

Innovative technologies such as autonomous and connected vehicles can create a better transit mall, a street where only public transit vehicles, bicycles, and pedestrians are allowed. However, successful introduction of such technologies depends on user acceptance. To assess the potential acceptance of these technologies in the context of a new transit mall environment, it is crucial to provide an opportunity to experience them before they roll out. This study explores how real and video-based experiences of new technologies can affect public acceptance of new transit mall options in Hiroshima City, Japan, where trams and buses are significant modes of public transportation. We conducted a survey on the stated acceptance of new transit mall options with three groups of respondents: real experience, video-based experience, and no experience groups. The real-experience group self-selected themselves for the experiment, which potentially caused bias. Thus, we used a hybrid choice model with attitudinal variables (ethical, legal, and social concerns regarding emerging technologies, as well as risk-related factors) introduced to control for this bias. We found that both real and video-based experiences improved overall acceptance of new transit mall options, but there were differences in preferences between those who had only video-based experiences and those who had real experiences. We also found that prior knowledge of new transport services and infrastructure had a considerable influence on stated acceptance.

A Study on the Viability of Adopting Battery Electric Vehicles in Bus Rapid Transit in Brazil Using the AHP Method

Public transport is essential to provide urban mobility, and cities need to offer a fast, comfortable, secure, and low-pollutant public transport mode to attract passengers and reduce private car use. Despite metros, trains, and light rail systems being desirable, the cost of implementation and low flexibility make bus services the best option for many cities. One solution for improving bus service systems is the implementation of bus rapid transit systems that are composed of buses running in segregated lines with pre-payment fares and level boarding platforms in stations. However, the main challenge of bus systems is the use of engines fueled by diesel, which is extremely polluted. One possible solution is the use of battery buses; but are they really feasible regarding daily operation cost? In this paper, we investigate the adoption of battery buses in comparison to diesel engines in a BRT system using municipal data from São Paulo, Brazil, as a reference. We collected operational data from the Sao Paulo city government transport agency and data from the literature to produce an analytic hierarchy process (AHP) model, which allowed us to compare both systems. The AHP model considered a triple-bottom-line perspective using social, economic, and environmental impact criteria. The result showed that the initial costs of acquisition can be a barrier, but in the long run, cities adopting battery buses in their BRT system can benefit from the effects of reduction in gas emissions and longer lifetimes of electric bus components. Moreover, the results showed that the adoption of battery buses in BRT systems depends on local government subsidies being implemented.

Exploring the passengers’ socio-economic structure and its impact on the perception of railway infrastructures and services in Tripura, India

The railway is a cost-efficient transport system that ensures economic development, social well-being, environmental sustainability and regional cooperation. As a prime mode of public transportation, it provides significant passenger service throughout the world. It is necessary to understand what passengers think about railway infrastructures and services to enhance passenger satisfaction, increase ridership and reduce the railway policy gap. Many socio-economic factors like education, income and occupation may influence the epistemological thought process of passengers about railway infrastructure and service quality. This study was conducted in Tripura, North-eastern India, to examine the effect of a passenger’s socio-economic structure on their perception of railway infrastructures and services. About 735 samples were collected from all 27 railway stations of Tripura through stratified random sampling. To understand passenger perceptions about railway infrastructure, a 5-Point Likert Scale has been used. A Modified Satisfaction Index (MSI) has been proposed to analyse the degree of passenger satisfaction by modifying an existing method. The Kuppuswamy socio-economic scale has been used to identify the association of social class on passenger perception to address the policy gap and provide alternative technical solutions by formulating effective strategies for enhancing service quality. The contribution of the study is to provide insights into the importance of considering socio-economic factors in enhancing service quality and improving passenger satisfaction. Additionally, the proposed MSI can offer a reliable and practical tool for measuring passenger satisfaction with railway services.

Assessment of Satisfaction Level for Existing Public Transport Systems using Machine Learning: A Case of Bhopal (India)

Most people are now highly dependent on private motorize travel because of the low Satisfaction level of public transit modes. This leads to poor public transit share in most of the cities in India. This study is intended to identifying the influencing parameters; those affect the satisfaction level of a PT mode, and also develop a model for assessing the Satisfaction Level of these public transport modes in Bhopal, India. A Machine Learning-based approach is used to analyze 1189 responses from the user. It classifies data in various dimensions that shape customers satisfaction among each mode of public transport (i.e. BRTS, Mini-Buses and Magic-Van service) and develops a model for evaluating the overall satisfaction of these PT modes in Bhopal. An On-board opinion surveys were done for identifying the parameters which influence the Satisfaction of these PT modes and also develop a model for evaluating the Satisfaction of these modes. Based on the literature, Delphi survey and opinion survey, eight parameters have been identified that influence the satisfaction level of these modes in Bhopal. Further by correlation matrix, most influencing parameters (key parameters) were considered amongst them for evaluating the satisfaction level for these modes. To determine the coefficient values acting from each of the respective elementary scores, we used a trained linear regression, multilinear regression, considering the classification of customers who assessed the performance of their satisfaction. This model will help to increase the Satisfaction of these PT Modes which result to increase the transit ridership in Bhopal. Adopted methodology in this study can help decision-makers to improve public transport services so that transit ridership can be improved.

The Financial Impact of the COVID-19 Pandemic on Public Transportation and Sustainable Policy Recommendations: A Case Study of Eskişehir

Financing of public transportation has been a challenge that needs to be concerned because ridership has decreased by up to 90% with the impact of COVID-19. This study presents sustainable policy recommendations and their cost-benefit analyses for the financing problems in public transportation caused by COVID-19. First of all, the public transportation data of Eskişehir-Turkey between the years 2018-2021 were investigated according to different public transportation modes, and financial losses were calculated for municipality. Secondly, within the scope of the study, six policies were recommended as follows: (i) different network and service plans for public transportation, (ii) new or improved low-budget public transportation, (iii) congestion pricing, (iv) bike, bike-sharing and e-scooter, (v) park and ride, (vi) pedestrianization. Crucial points in the implementation of policies and their possible financial impacts were investigated. According to the findings of the study, total ridership decreased 72.94 million in 2020 and 2021 compared to pre-COVID-19. In different modes, it was observed that the decrease buses ridership was higher than in trams. Municipality financial loss was calculated as $19.69-24.87 million. In the cost-benefit analysis results of recommended policies, net present value was calculated as 0.28-23.36 million $ according to different scenarios and sensitivity analyses. It has been foreseen that this is a very suitable period for the implementation of these policies, they could provide sustainable urban transportation and increase the quality of life as well as solving financial problems.

Customised bus route design with passenger-to-station assignment optimisation

As an emerging and innovative public transportation mode, the customised bus (CB) has drawn widespread attention. Existing studies of the CB mainly focus on issues regarding the bus station location, route design, timetabling, and fare setting, but rarely consider the passenger to bus station assignment problem which can significantly influence passengers’ benefit and the buses’ operating scheme. Thus, this study focuses on the customised bus routing problem with passenger-to-station assignment (CBRP-PSA) aiming to simultaneously minimise passengers’ CB service access cost and the bus route cost. A time-discretized multi-commodity network flow model is developed to jointly determine the CB routes, timetables, and passenger-to-station assignment by allowing split loads and mixed loads. Through the dualization, the developed model is decomposed into two solvable sub-problems, and a Lagrangian-based heuristic solution algorithm is proposed. The model and algorithm are implemented in illustrative, medium-scale, and large-scale transportation networks to demonstrate their effectiveness under different scenarios.

Infrastructure Planning for TOD Zone of Chikkabanawara of Sub-urban Station, Bengaluru

Abstract: One of Karnataka, India's cities with the fastest population growth is Bengaluru. Inadequate walking and cycling infrastructure made people choose personal vehicles over sustainable transport options more often while the city focused on infrastructure to reduce traffic. By 2035, the Comprehensive Mobility Plan (CMP) Bengaluru (2020) seeks to expand public transportation's mode share from 42% to 70%. In order to reach this goal, it is crucial to guarantee that more people have easy access to public transport options in addition to increasing the mass transit infrastructure, as increased access to PT tends to encourage more people to utilise it rather than their own motorised vehicles. To this end, the city of Bengaluru has developed a Transit Oriented Development (TOD) policy. Walkability, Cyclability, Quality of Public Transport Infrastructure, Safety Infrastructure at Junctions, Quality of Intermediate Public Transport, and Public Amenities that Support the Uptake of Sustainable Mobility Modes are the parameters taken up as part of. The study region of Chikkabanawara is situated on the outskirts of the city of Bangalore and has the distinctive feature of greenfield development with prominence of educational institutions, commercial businesses, residential areas, and high-rise flats in the 500-meter buffer zone.

Analisis Kepuasan Pengguna Transportasi Umum Ojek Online (Gojek) Melalui Instrumen Layanan

In Indonesia, online motorcycle taxis are the largest public transportation with a very large number of partners and fleets, covering all parts of Indonesia. As a profit-oriented mode of public transportation, paying attention to customer satisfaction is a necessity. One of the efforts that can be done is to provide quality services. In fact, this study aims to find out how online transportation users respond by looking at the service elements provided by service providers. Scientific studies are used as a logical way to prove reliable research results, and in this study using quantitative methods and statistical analysis of linear regression. The subjects of this study were users of the online ojek public transportation mode in the student MPLM UNJ 2022,Jakarta. The results of the study provide an overview, in general, respondents are satisfied with the presence of nline motorcycle taxis. This is very helpful and facilitates user activities. However, there are still things that need to be improved, such as comfort and safety standards. Statistically, service has a significant effect on online motorcycle taxi user satisfaction.

Evaluation of Low-Traffic Neighborhoods and Scale Effects: The Paris Case Study

This paper investigates the socio-economic impacts of the driving restriction zone policy for the Paris region, using the multi-agent transport simulation MATSim. Based on a previous work which has calibrated a first instantiation of the mobility model to the Paris region, we extend it by modeling and simulating two forms of intermodality: Park-and-Walk and Park-and-Ride. After re-calibrating the model, we evaluate two policy scenarios featuring different scales of the restriction zone, using indicators related to mobility, traffic emissions, and social cost. The analysis puts special attention on how modal shift and emissions vary across space, that is, inside and outside the policy zone. We find that the small-scale scenario with a restriction zone limited to the Paris center leads to very limited modal shift, whereas the larger-scale policy scenario encompassing the whole of Paris shifts significantly more trips (about 1.4% of total trips) from cars to public transport and other modes. In both scenarios, traffic emissions decline in the restriction zone and its near surroundings. Far from the restriction zone, however, emissions increase in the small-scale scenario but decrease in the large-scale scenario. These differences are caused by the traffic detour, modal shift, and rebound effects, the magnitudes of which vary depending on the scale of the restriction zone. The driving restrictions also cause the social cost to increase by around 10% in both scenarios. This ultimately implies a trade-off between reducing emissions and increasing user costs, with a substantially greater efficiency (larger reduction for similar cost) in the large-scale policy scenario.

Innovative Approaches for Tackling Tax Evasion in the South African Minibus Taxi Industry: Lessons from Ghana, Zambia, and Zimbabwe

In South Africa, minibus taxis are a crucial mode of public transport for many commuters and a vital informal business sector with an estimated value of R90 billion. Concerns have been raised that the South African Revenue Service (SARS) is not collecting the optimal amount of tax revenue from this industry, with estimated tax collection at only R5 million in 2021. As a result of concerns that this industry might be involved in tax evasion or massive tax avoidance, this study investigates the taxation of minibus taxis in South Africa and explores alternative tax regimes that could be implemented to improve revenue collection. The study compares the current South African turnover tax system for minibus taxi operators to other African tax systems and evaluates a viable alternative tax regime or tax collection system. To improve tax collection from the industry, South Africa could consider a tax system tailored to the industry’s informal nature, utilising metrics such as vehicle seating capacity or distance travelled. A standardised tax system for small, medium, and micro enterprises may not be suitable. Consultation with industry stakeholders is essential for the proposed tax system to be acceptable. The study’s findings could inform South Africa’s National Treasury in creating a tax structure or collection scheme targeting the minibus taxi industry. This could increase tax revenue collection from the industry and support government expenditure, including income and wealth redistribution. This study distinguishes itself from prior publications on the South African minibus taxi industry by addressing tax compliance and collection challenges. It offers recommendations for alternative tax regimes to mitigate these challenges.

Advanced Smartphone-Based Identification of Transport Modes: Resilience under GNSS-Based Attacks

One of the main challenges for ticketing in Mobility as a Service is the integration of the public and individual transport modes into a unified ticketing service. To realize this concept, a trustworthy identification of transport modes that is resilient to possible attacks is required. In this work, we propose two smartphone-based methods to seamlessly identify the use of trams, buses, subways, walking and bicycles, which are able to detect GNSS-based attacks and continue to provide a trustworthy identification of transport modes. We have recorded real-world measurements with commercial smartphones using the transport network in Munich and Paris. Our results show that it is possible to provide trustworthy identification of transport modes even when the system is under attack. In conclusion, in this work we demonstrate the vulnerability of smartphone-based ticketing to GNSS-based attacks, propose two methods to overcome this vulnerability and demonstrate the validity of our methods with real-world measurements.

Determining tricycle service quality and satisfaction in the Philippine urban areas: A SERVQUAL approach

The tricycle is one of the most essential modes of public transportation in the Philippines. The purpose of this study was to determine factors affecting passenger satisfaction with tricycle services by utilizing the SERVQUAL approach. A total of 654 tricycle passengers answered an online questionnaire that consisted of 62 questions. Several factors such as assurance, empathy, reliability, responsiveness, tangibles, passenger expectations, passenger satisfaction, passenger loyalty, and future intentions were analyzed simultaneously by utilizing Structural Equation Modeling (SEM). SEM indicated that responsiveness was found to be the most significant factor in passenger satisfaction, followed by tangibles, empathy, and passenger satisfaction. Interestingly, assurance and reliability were found not to have significant effects on passenger satisfaction. It could be deduced that passengers utilizing the tricycle as a form of public transportation are mainly concerned about the cleanliness of the tricycle and the driver, getting to their needed destination, reduced travel time, convenience, cheap, and reliable. This study is the first complete study that explored the satisfaction of tricycle users in the Philippines. The findings can be utilized as a theoretical foundation particularly for enhancing the service quality and satisfaction of tricycles as public transportation. In addition, the approach can also be utilized to evaluate other vehicles in other countries.