Public Passenger Transport Research Articles

Evaluasi Tarif Berdasarkan Biaya Operasional Kendaraan (BOK) dan Load Factor Angkutan Umum Kota Kupang (Studi Kasus: Trayek 2 dan Trayek 6))

Public transportation (Bemo) is one of the transportation services that serve the people of Kupang City in a predetermined route, the route that is passed usually has many public facilities. Public transportation is one of the basic needs of the people in Kupang City. But if it is not handled properly, it will become a problem for providers and users of public transportation services. So this study aims to determine tariffs based on Vehicle Operating Costs (BOK), Ability To Pay (ATP), and Willingness To Pay (WTP) of public transport service users in Kupang City, as well as to analyze the ideal tariff based on Ability To Pay (ATP) and Willingness To Pay (WTP) of public transport service users. The public transport routes that will be observed in this study are route 2 and route 6. With the length of route 2 is 10.145 km and the length of Route 6 is 8.573 km. Analysis of Vehicle Operating Costs (BOK) will use the method of Director General of Land Transportation number SK.687/AJ.206/DRJD/2002 concerning technical guidelines for the implementation of public passenger transportation in urban areas on fixed and regular routes. While analyzing the calculation of Ability To Pay (ATP) and Willingness To Pay (WTP) using cross tabulation and travel budged methods. From the results of the analysis it is known that the current tariff in the field is greater than the calculated tariff of Vehicle Operating Costs (BOK) and Willingness To Pay (WTP), but the applicable tariff is smaller than Ability To Pay (ATP). Due to the problem of the pertalite fuel price increase from Rp.7,650 to Rp.10,000, the current tariff increased from Rp.3,000 to Rp.5,000 for the public and Rp.2,000 to Rp.3,500 for students, while from the calculation of the amount of the Vehicle Operating Cost (BOK) tariff is Rp.3,942 for route 2, and Rp.3,483 for route 6. The Willingnes To Pay (WTP) value is Rp.2,222 while the Ability To Pay (ATP) value is greater, namely Rp.8,148.

Evaluation Methodology of the Railway Stations Using the AHP Method in the Transport Hubs from the Freight Transport Point of View

Currently, it is necessary to support not only public passenger transport at the expense of individual car transport but also to ensure the modal split of goods from road transport to railway transport. Moreover, it is important to modernize the railway infrastructure, especially hubs and other important railway stations in important settlements and big cities. Therefore, it is necessary to constantly invest in railway lines as well as railway stations. The contribution deals with the determination of the methodology for the evaluation of railway stations in freight transport based on current scientific publications and the AHP method. Its main goal is to determine the size of the peak on the network-railway station on the infrastructure manager’s railway network. One of the benefits is the subsequent determination of the next procedure from the given peak in terms of operation, considering the economic complexity of the entire procedure. The methodology is preceded by an extensive analysis of input data in Slovakia and abroad. This methodology defines the parameters or factors that influence decisions for a particular railway freight station. Subsequently, based on the proposed methodology, a practical application is also developed, within which four railway stations on the ŽSR network are evaluated. In a broader sense, the contribution also points to improving the quality of railway infrastructure in cities.

EVALUASI KEBIJAKAN TENTANG PENYELENGGARAAN PERHUBUNGAN PADA PELAYANAN ANGKUTAN UMUM PENUMPANG DI KOTA CIMAHI

The policy regarding the implementation of transportation in Cimahi City does not specifically regulate passenger public transport services so that it is suspected to be the cause of the poor operation of passenger public transportation in Cimahi City. This study aims to analyze data and information so as to get an overview of policy evaluation regarding the implementation of transportation in Cimahi City with case studies on passenger public transport services. The method used is a case study with a qualitative approach. Data collection techniques used are observation, interviews and documentation studies. Checking the validity of the data is done by triangulation. Data analysis was carried out including the stages of data reduction, data presentation, and conclusions or verification. Based on the research results, a clearer picture is obtained that passenger public transport services in Cimahi City are measured by effectiveness factors based on quality, quantity and time, efficiency of available resources, adequacy of policies in overcoming problems, equity of services and policy benefits, government responsiveness to problems arising from the implementation of policies, and the accuracy of policy targets in achieving policy objectives has not run optimally. Observing the results of the research, it is hoped that policy makers in Cimahi City will be able to review regulations and reformulate more specific policies that specifically address passenger public transport services. In addition, it is recommended to develop a Smart Passenger Public Transport System based on information and communication technology which can be used as an alternative solution. Keywords: Policy Evaluation; Implementation of Transportation; Passenger Public Transport Services

Performance of Public Transport Appraisal using Machine Learning

Public passenger transport holds immense significance in the overall transportation system. Forecasting the movement of public transport has emerged as a crucial problem in transport planning due to its practical implications. Recently, there has been a lot of significant attention in Intelligent Transportation Systems (ITS), introducing various advancements and innovative applications to develop conditions for public transit that are safer, more effective, and fun. To fully leverage the potential of ITS applications and deal with road situations proactively, it becomes crucial to have a reliable method for predicting traffic flow. This opens up opportunities for ITS applications to anticipate and address potential challenges in advance. Enhancing the efficient functioning of Public Transport (PT) networks is a primary objective for urban area authorities, and the proliferation of location and communication devices has led to an abundance of operational data. Applying appropriate Machine Learning (ML) methods can help identify patterns in the data to improve the Schedule Plan. This research focuses on heterogeneous information that influences the prediction value, aiming to predict the required transport demand for specific routes and the arrival time of public transport. Utilizing DBSCAN clustering with SARIMA Algorithm, real-time passenger demand forecasting is extensively promoted to enhance dynamic bus scheduling and management. Furthermore, this paper compares the accuracy of the proposed Prophet Model with traditional time series models like ARIMA and SARIMA. The aim is to provide precise and robust passenger demand predictions, enabling more effective planning and management of PT services.

Modeling package delivery acceptance in Crowdshipping systems by Public Transportation Passengers: A latent class approach

The subject of this research is to model the probability of accepting package delivery tasks in Crowd-Shipping (CS) systems focusing on shipping packages by Public Transportation (PT) passengers. Real-world implementation of such a PT-based CS initiative requires a proper grasp of the behavior of crowd shippers, package receivers, and senders, among which crowdshippers are at the center of attention. Given survey data collected from 2,208PT passengers in the Sydney metropolitan area, this study constructs a model for package delivery task acceptance among PT passengers who express a willingness to participate as crowdshippers. A Latent Class (LC) choice model is developed and estimated to explore different classes of participant characteristics and preferences for accepting CS delivery tasks, under different levels of offered incentive, package weight, and required detour distance at the destination. As a key finding, the model identifies three classes, namely “leisurely”, “avid”, and “skeptical” users with class sizes of 19%, 53%, and 28%, respectively. Leisurely users tend to be majorly employed with relatively higher ages and lower PT trip frequency per month. This class shows a potential desire to take CS tasks as long as they are not logistically burdensome. Avid users, forming the largest class of the population, are mostly younger PT passengers who are less sensitive to task difficulty and might accept even CS tasks with minimum incentives (around AU$3). Skeptical users, displaying high PT trip frequency per month and high income, are unwilling to accept the CS tasks unless get compensated well.

Methodology for Designing a System of Public Passenger Transport in a Functional Region

Transport, as an object of research and design, is directly influenced by other functional components of the territory, it is caused by them, but at the same time it determines them in terms of limitations and development. A comprehensive approach to the design of transport systems involves a wide range of analytical and synthetic activities. Transport and territory are interrelated, while transport is one of the main factors defining the functionality of territorial structures. The development of transport systems brings greater availability of work, services, and leisure activities. The transport solution in the territory must be directed towards the adequate satisfaction of the transport needs, which are characterized by the intensity of the transport relations in the territory, depending on the time and quality of the relocation. The article presents a methodology for the design of regional public passenger transport lines, in accordance with the principles of sustainable mobility, supporting the competitiveness of public passenger transport and the efficient use of resources. The proposed methodology presupposes an already completed and processed analytical phase of the transport planning process and includes the impact of public passenger transport on the external environment. The methodology is applicable under the conditions of designing a completely new transport service system, as well as in the process of reorganizing existing transport systems, including rail and bus transport.

A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects.

The optimization of urban passenger transport structure can effectively save energy and reduce the carbon emission of transport. However, the carbon emission and energy consumption generated by the construction of transport projects are worthy of attention. In this paper, a multi-objective optimization model of urban passenger transport structure oriented to low carbon is proposed considering passenger, operator, and construction. The optimal solution of the model is obtained based on the NSGA-II algorithm, and the validity of the model is verified with a case of Qingdao. The optimal ratio of Qingdao passenger traffic structure considering only the passenger perspective (PS), considering the passenger and operator (POS), and considering the three parties together (POCS) is obtained, respectively. The results show that the optimal structures obtained by the PS, POS, and POCS models increase the public transport passenger share by 12.74%, 20.74%, and 23.70%, compared with the actual values. From both the supply and demand sides, there has been an increase in the passenger share of public transport. The POS model is more suitable for solving structural optimization problems that do not involve construction carbon emissions in the short term. The POCS model is more suitable for long-term comprehensive structural optimization problems. The results of the study provide a reference basis for optimizing the urban passenger transport structure.

Route Choice Preferences of Public Transport Passengers in Different Cities

In public transport network planning, it is essential to know the demands as well as the decision-making aspects of the passengers. A special timetable information and journey planning application has been developed and applied in 17 cities with different sizes and structures in North West Hungary since 2016 which is also able to collect and utilize the decisions of the users. Based on the collected real-life decision data, different logit models have been built for the different cities as well as for different age groups of the passengers. The examined variables are basically the time equivalents for transfers, walking and waiting phases of the journeys. This paper presents the main experiences of this project and the comparison of the decision models constructed so far. Results show clearly the differences between passenger layers of different cities and different ages in many cases, especially in larger cities where a higher amount of data is already available.

IMPACT OF PUBLIC PASSENGER TRANSPORT ORGANIZATION MODEL ON SYSTEM PERFORMANCE AND SERVICE QUALITY

Organization and management of Public Passenger Transport (PPT) system is a complex process, which significantly impacts the functioning of the system. Globally, there is no unique solution for organization model of PPT, but the organization models are adjusted to the characteristics of each individual area. Organization model of PPT, inherited from the self-management system of the former Socialist Federal Republic (SFR) Yugoslavia, became unsustainable in the Municipality of Inđija (Serbia) and did not fulfil transport needs and demands of passengers regarding the amount of transport and its quality in optimal manner. Old organization model has been replaced by a new modern model, based on positive experiences from developed European cities. Article presents the impact of new organization model of PPT on the work of the system. Research has been conducted in order to determine the state of both old and new system’s organization model by counting and interviewing passengers during years 2008 and 2017. In accordance with the changes made in the system, comparative analysis “before and after changes” has been done along with establishing of the effects of changes on functioning of the system and service quality. Results show significantly improved service quality, while transport demands increase by 38.3%.

Public transport: lessons learned by the sector through the COVID-19 pandemic

BackgroundThe COVID-19 pandemic had a significant impact on the operations and functionality of the public transport sector in the UK. This paper reflects on the experience of this sector through the pandemic period, and considers recommendations for any future mitigations required for either new COVID-19 waves or a different public health emergency.MethodsSemi-structured interviews were carried out with public transport experts, organisational leaders, workers and passengers in two phases: Phase 1 from January to May 2021, and Phase 2 from December 2021 to February 2022. Interviews were analysed thematically.ResultsUsing the ‘What? So What? Now What?’ reflective model, ideas are drawn out to describe (a) what changes occurred, (b) what effects these changes had on service provision as well as perceptions of risk and mitigation and (c) what lessons have been learned and how these findings can feed into pandemic preparedness for the future. Respondent reflections focussed on the importance of communication, leadership, and maintaining compliance.ConclusionsThe wealth of experience gained through the COVID-19 pandemic in the public transport sector is extremely valuable. Through reflection on this experience, specific recommendations are made relating to these factors, covering: maintaining links across industry, access to information and data, understanding of mitigation effectiveness, improving messaging, challenges of behavioural mitigations, and clear lines of accountability. The recommendations made on the basis of this reflective process will help to improve public health strategy within the public transport sector.

OPTIMIZATION OF THE STRUCTURE OF THE FLEET OF TRACKLESS VEHICLES SERVING URBAN PASSENGER ROUTES BASED ON THE RESULTS OF MATHEMATICAL MODELING

The article analyzes scientific works aimed at improving the efficiency of urban passenger transport systems, its results are presented. The importance of the structural parameters of the rolling stock as an element determining the quality and efficiency of the transport process is noted. In terms of the development of existing developments, a set of methods is proposed that allow mathematical modeling of passenger flows of urban passenger transport routes and indicators of the efficiency of servicing these routes by a fleet with specified structural parameters. Based on the simulation results, the areas of effective use of various types of transport and categories of vehicles are determined. The obtained data can be used as initial information in determining the optimal structural parameters of the fleet of vehicles serving urban passenger routes.
 Purpose – improving the efficiency of the urban passenger transport complex on the basis of optimizing the structural parameters of the fleet of vehicles.
 Methodology: during the research, the following methods were used: theory of technical operation of cars; methods of technical and economic analysis; theory of operational properties of cars; probability theory; methods of mathematical analysis; theory of management of socio-technical systems.
 Results: a set of interrelated methods has been developed that allow to simulate passenger flows of urban passenger routes and determine key performance indicators for the operation of various modes of transport and categories of vehicles. The values of annual traffic volumes determining the areas of their effective application are determined.
 Practical implications: research and practical activities in the field of organization of public transport services by urban passenger public transport.

EVALUATION OF THE POTENTIAL TO INCREASE RETURN ON WORK
 URBAN PASSENGER TRANSPORT DAILY PASSENGER VOLUME FORECAST

The size of passenger traffic is one of the fundamental values in the organization of urban passenger traffic in
 regular traffic. It determines the number of passenger vehicles (PTS) on the route, their capacity, traffic intervals. At
 the same time, the volume of passenger traffic is not constant and can change daily depending on the day of the week,
 month of the year and other factors. At the same time, the number of vehicles operating on the route, their capacity and
 intervals of movement, as a rule, change only by the type of day of the week (weekday/weekend) and by season (summer/
 winter schedule). In such conditions, there is often an excess of carrying capacity compared to with the available
 capacity of passenger traffic, which leads to an unjustified increase in the cost of urban public passenger transport
 (OPPT). Therefore, the creation of conditions under which the transportation capacity of the PTS will be as close as
 possible to the size of the passenger traffic will increase the payback of the work of the GOPT.
 
 The purpose of the publication is to establish factors that significantly affect the amount of daily passenger traffic
 and assess the feasibility of daily adjustment of the transportation capacity of the TCP to the forecast value of passenger
 traffic, taking into account such factors.

ANALYSIS OF THE EFFECTIVENESS OF ACCIDENT INSURANCE COMPENSATION SETTLEMENT FOR PUBLIC TRANSPORTATION PASSENGERS AT PT. JASA RAHARJA REPRESENTATIVE OF TK II PADANG SIDEMPUAN

This study aims to determine how the effectiveness of compensation settlement has been running effectively or ineffectively in accordance with the operational standards of PT. Jasa Raharja tk II padang sidempuan. This study used qualitative descriptive method with data collection of interviews, observations, documentation. The sample of this research is the company PT. Jasa Raharja Representative of TK II Padangsidimpuan, using descriptive analysis techniques which include: data reduction, data presentation, and conclusions. Specifically, that the data above shows the number of victims who have been disbursed compensation funds and their effectiveness is good and the settlement is timely. The measurement of effectiveness in general and most prominent is program success, goal success, satisfaction with the program, input and output levels, achievement and overall goals. Program effectiveness can be carried out with operational capabilities in carrying out work programs in accordance with predetermined goals. It is known that the analysis of the effectiveness of the settlement of accident insurance compensation for public transportation passengers at PT Jasa Raharja TK II Padang Sidempuan has been very good and effective. and all programs on the road at PT jasa raharja tk ii padang sidempuan have reached the desired target.Keywords: Accident Insurance; Indemnification; Effectiveness

Public transport crowding valuation in a post-pandemic era

AbstractIt is important to understand how public transport passengers value on-board crowding since the outbreak of the COVID-19 pandemic. The main contribution of this study is to derive the crowding valuation of public transport passengers in a post-pandemic era entirely based on observed, actual passenger route choices. We derive passengers’ crowding valuation for the London metro network based on a revealed preference discrete choice model using maximum likelihood estimation. We find that after the passenger load on-board the metro reaches the seat capacity, the in-vehicle time valuation increases by 0.42 for each increase in the average number of standing passengers per square metre upon boarding. When comparing this result to a variety of crowding valuation studies conducted before the pandemic in London and elsewhere, we can conclude that public transport passengers value crowding more negatively since the pandemic. Furthermore, we found a ratio between out-of-vehicle time and in-vehicle time of 1.94 pre-pandemic and of 1.92 post-pandemic, based on which we conclude that the relative waiting/walking time valuation did not significantly change since the COVID-19 pandemic. Our study results contribute to a better understanding on how on-board crowding in urban public transport is perceived in a European context since the outbreak of the COVID-19 pandemic.

Exploring Activity Patterns and Trip Purposes of Public Transport Passengers from Smart Card Data

With the development of technology, there is an increasing number of automatically collected data sources applied in human mobility research. Although these data sets can record travel spatiotemporal information, the semantical information of travel cannot be reflected, e.g., activity pattern or trip purpose. In this paper, we proposed a methodological framework to explore the activity patterns and trip purposes of public transit riders using smart card data in an unsupervised way. First, the heuristic rules are proposed to identify home/working activity based on the multidays travel regularity of passengers. Second, we use a modified latent Dirichlet allocation (LDA) model to explore the activity patterns for the remaining activities based on four activity attributes (including arrival time, duration, day of the week, and destination station functional attribute). In this model, the trip attributes of each passenger are considered as a word in the document with specific topics that correspond to different activity characteristics, based on which the trip purpose of each topic is inferred to interpret travel behavior. The proposed methodology is demonstrated using transit smart card data from Beijing. The performance of our model is compared with two baselines based on perplexity and the result shows that our model achieved the best. Besides, the proportions of inferred trip purposes are compared to the values from travel survey in 2020 Beijing Transport Development Annual Report. The reliability of the results is further confirmed. This work can be extended to other automated travel datasets without ground-truth labels and used to understand and predict travel demand.Practical ApplicationsThis paper proposes an integrated methodological framework to using trip records to explore activity behavior and infer the trip purpose of public transport passenger from smart card data in an unsupervised way. The methodology is implemented on the smart card data in Beijing and demonstrated the availability. The results show that the performance of our model is superior to the other two baselines, moreover, the proportions of inferred different trip purposes are approximate to the ground-truth data from travel survey in the 2020 Beijing Transport Development Annual Report. The methodology can be extended to other automated travel datasets without ground-truth labels and the result can be used to understand and predict travel demand. The study makes it possible to enrich human mobility data, which eventually would be meaningful for comprehensive city transport planning and management and can initiate a new wave of innovative applications in the public transit network, such as passenger portrayal and targeted advertising.

Assessing public transport passenger attitudes towards a dynamic fare model based on in-vehicle crowdedness levels and additional waiting time

Public Transport (PT) provides passenger mobility and contributes to sustainable transportation. To achieve this a PT system must provide continuous accessible service and connections for passengers. PT reliability is considered a major obstacle to growing its market share. Current solutions primarily address travel time reliability through methods like priority lanes and traffic signal priority. Dwell time reliability improvement, in turn, can be achieved by the use of smart cards which reduce the variability in boarding and alighting times. Another factor affecting reliability is in-vehicle crowdedness which causes delays and increases dwell time variability. To mitigate crowdedness, we propose a monetary approach that dynamically changes the fare based on the in-vehicle crowdedness level in a manner similar to congestion pricing. This approach would shift some passengers from boarding the over-crowded vehicle to waiting for the next, less crowded vehicle, while compensating them for the additional waiting. Passengers unwilling to wait might pay a penalty if the additional waiting time is reasonable. To assess the attitude of passengers towards a dynamic fare model, a stated preference questionnaire was developed to assess the factors that affect the choice of whether or not to board an over-crowded vehicle. Based on panel data and the fixed effect logit model it was revealed that the higher the waiting time, the lower the willingness to board the next vehicle. However, monetary schemes (penalties or discounts) increased the willingness to wait and board the next vehicle. Moreover, the willingness to wait was higher when a penalty was introduced compared to a discount, which is in line with the prospect theory. The results suggest that it is possible to construct a dynamic fare model that using data on vehicle crowdedness levels and waiting times obtained from advanced data collection systems, which is integrated within a mobile payment application. This approach could reduce crowdedness and increase reliability.

Trends in the occurrence and accumulation of microplastics in urban soil of Nanjing and their policy implications

Urban soil is an important sink of terrestrial microplastics (MPs), and understanding their distribution over time is essential for effective pollution management. Here, based on soil MP data from Nanjing, a typical megacity in eastern China, this study analyzed MP accumulation trends using decision tree and time series network based on soil attributes, POI (point of interest), and human activity factors such as urban industrial structure, transportation, water use. We also evaluated the impact of plastic policy interventions. In the past 15 years, MPs in urban soil in Nanjing have gradually increased, and highly polluted areas have also grown. From 2010 to 2020, the concentration of MPs in urban soil increased from 326.7 items/kg to 480.9 items/kg, with high pollution areas expanding from only 2.0 km2 (0.7 %) to 48.7 km2 (14.9 %). The accumulation of MPs was also influenced by changing factors due to urbanization. In the early 21st century, residential areas had the largest effect, while in the later period, public passenger transport and domestic water consumption were the dominant factors. The scenarios simulation suggests recent plastic intervention policies have helped alleviate this rate of increase, but MP source management (e.g., laundry fibers, tire wear) still needs improvement. By the proposed method, the past trend of microplastics in urban soil and their relationship with soil properties and human activities can be accurately revealed, which will be helpful for the formulation of countermeasures to mitigate regional soil MP pollution.

A GIS Approach to Measuring Public Transport Travel Delay on Higher Order Roads in the City of Cape Town

Abstract. On a daily basis, hundreds of thousands of people in the City of Cape Town rely on road-based public transport as a means of commuting. A major factor that influences the passengers’ experience is the travel time to reach a desired destination. Due to various physical and operational factors, some sections of the road network experience high congestion and travel time delays during the morning and afternoon peak periods. Quantifying these delays, and the number of road-based public transport passengers exposed to the delay along a specific road section during a peak period allows informed decision-making and prioritisation. GIS and spatial data analysis are powerful tools to determine where and when such delays occur. Various spatial data sets exist that were jointly analysed to quantify the delay and the passenger volumes exposed to the delay on the city’s public transport network.

Assessment of impact of priority movement for urban public passenger transport on the quality of passenger service

Problem. The article presents a view on solving the problem of the management formation measures to improve the quality of public transport services through the feasibility justification of implementing priority movement of urban public passenger transport in relation to the assessment of passengers' perception of the actual travel time along the route. Goal. The purpose of the work is to establish a characteristic relationship between the traffic parameters of route vehicles in the conditions of the priority of urban public passenger transport and time indicators of the quality assessment of passenger transport services. Method. The methodological basis for establishing a connection between traffic parameters in terms of the priority of urban public passenger transport and time indicators for evaluating the quality of transport service is a set of developed analytical models that describe the process of formation of passenger exchange at stopping points and time parameters of vehicle movement. Results. On the basis of the functional connection for the selected structure of the research object, it was established that the implementation of the urban public passenger transport priority with the organization of traffic on special lanes and unhindered passage of regulated intersections plays a significant role in improving the quality of passenger transport services. Originality. The assessment of the quality of transport service is based on establishing the level of compliance of each passenger's actual travel time with the previously planned. The use of travel time as a primary evaluation indicator is due to its leading role in the formation of quality criteria and the presence of influence on the parameters that determine the level of transport supply on the route. Practical meaning. The distribution of passengers at stops on route No. 24 «micro-district 602 – Akademika Pavlova subway st.» (Kharkiv, Ukraine) was obtained during modeling between the levels of perception of the quality of transport service showed that for everyday conditions, 8.9% and 27.8% of passengers (36.7% in total) receive a high-quality and suitable assessment, for traffic priority by sections – 32.3% and 64% (96.3% in total), when organizing priority passage at the intersection – 57.5% and 40.4% (97.9% in total). The obtained results indicate the expediency of implementing priority traffic from the standpoint of assessing the level of improvement in the quality of passenger service.

The Economic Management of Physical Assets: The Practical Case of an Urban Passenger Transport Company in Portugal

Organizations are increasingly concerned with new strategic guidelines and ways of managing physical assets to improve their competitiveness and sustainability. In this paper, we analyze the determinants of the economic management of physical assets in the specific case of a public passenger transport company located in one of the main cities of Portugal. Based on the case under analysis, it was possible to conclude that the economic management of physical assets is oriented by relevant indicators, including, for example, expenses associated with acquisition, maintenance, and operation. This paper provides a relevant contribution to monitoring and evaluating the life cycle of equipment, enabling more efficient and effective management of these physical assets for transport companies. We are convinced that the valuable results presented in this paper can open up new research avenues in the area of physical asset management.