Transport Mode Choice Research Articles

Study on Factors of Urban Transportation Service Quality Based on Analytic Hierarchy Process: A Case Study of Gangtok City

Promoting the use of public transportation requires an in - depth knowledge of the variables that affect the choice of public transportation mode, including the process of implementing policy, as it has become a crucial component of government strategies to reduce carbon emissions from the transportation sector globally. A variety of factors impacting the usage of public transportation have been identified in previous studies, but few have been included in a single study. In order to boost the use of public transportation, it is essential to make it more attractive to travellers by conducting frequent Service Quality (SQ) assessments and adjustments. Understanding the passengers’ expectations towards public transportation are important, and assessing the SQ is an important tool for evaluating the total performance of the Gangtok’s public transportation system. The purpose of the existing study was to study the expectations and perceptions of city’s passengers regarding SQ in public transportation. In order to comprehend how the present commuters’ prefer a particular service quality attribute a series of interviews with passengers were undertaken. MCDM technique was adopted for this. The paper focuses on service quality factors for urban transportation system by adopting AHP technique. In this study perception of passengers using public transport in Gangtok is taken from the field. The case study is taken for Gangtok city in the state of Sikkim. The study involves study of passengers from various bus stop locations of the city. The results of the research showed substantial discrepancies among expectations and perceptions of city’s commuters, along with widespread dissatisfaction with the delivery of public transit services in hilly areas as a whole. The reliability and adaptiveness of these service have been critical in describing the overall quality of transportation services in hilly areas, and best practices were used to develop a set of recommendations for transportation operators and local officials.

Determination of Factors Affecting Transportation Mode Choice of Turkish Domestic Airline Passengers

Increasing demand in the transportation sector is closely related to the level of meeting passengers' demands. For this reason, many studies are being carried out in many parts of the world, especially in European and Far Eastern countries, aiming to determine the factors that affect passengers' choice of transportation mode. The aim of this study is to determine the main and sub factors affecting the choice of transportation mode for domestic airline passengers traveling in Türkiye. Within the scope of the study, a face-to-face survey was conducted to 407 passengers at Sabiha Gökçen Airport. Then, exploratory factor analysis was performed with the obtained data. Three main factors that emerged as a result of the analysis were named "Trip Factor", "Transportation Mode Factor" and "Safety and Comfort Factor", taking into account the literature review, expert opinions and the characteristics of the items. While on-time departure / punctuality, total travel time and travel at the requested time are the variables that have the highest impact on the choice of transportation mode. Previous accidents/incidents, transportation cost to airport/station and entertainment service in the cabin/wagon emerged as the variables with the lowest impact.

ANALISIS SISTEM TRANSPORTASI LOGISTIK (STUDI KASUS: PERGUDANGAN KOTA PAREPARE)

Parepare is a commercial city that distributes various types of commodities and industrial products every day to lots of whether inside or outside South Sulawesi. Therefore, the role of warehousing is very important to support the distribution process. This research aims to determine the characteristics and choice of transportation modes for goods and warehouse commodities using the Analytical Hierarchy Process method based on surveys and interviews with 200 respondents. The results of the research show that the characteristics of the transportation modes that used are pick up, 2 axle trucks, 3 axle trucks and trailer trucks, dominated by commodity yields of 56.50%, load prices of 85 - 120 million by trailer trucks and loads above 30 tons with more than 15 hours of travel time. The choice of the most efficient mode of transportation for distributing goods and warehousing commodities is a 2 axle truck with a priority weight percentage of 0.30%.

Analisis Pemodelan Pemilihan Moda Transportasi Ke Kampus oleh Mahasiswa Universitas Muhammadiyah Aceh

The Study on the Selection of Mode of Transportation to Campus by Students of the University of Muhammadiyah Aceh to identify the characteristics of the choice of transportation mode and determine the factors that influence students in choosing the mode of transportation to campus. This study was conducted using the Binomial Logit modeling on the characteristics of the choice of transportation mode by students that affect the choice of transportation mode by students of the University of Muhammadiyah Aceh using the SPSS statistic V.24.0 application. Based on the most influential factor in the choice of mode to campus by students of the University of Muhammadiyah Aceh is the ownership of private vehicles, where each student prefers a private vehicle (motorcycle) obtained the equation Y = 0.311 + 0.239(X4) + 0.435(X8). This equation has a strong correlation with R which is 0.630 and the coefficient of determination (R2) is 0.397. This model can be interpreted that for every increase in the number of vehicle owners, there will be an increase in users of private transportation modes by 0.239 and every increase in ownership of private vehicles, there will be an increase in users of private transportation modes by 0.435. From the results of the modeling equation, the probability of students choosing private transportation modes reaches 72.8% Private vehicles. While the probability of students choosing public transportation mode reaches 42.3% occurs when students do not have a driver's license and private vehicle.

Social dilemmas in a mixed traffic flow of buses and personal vehicles in transport mode choice

This paper presents an analysis of social dilemmas that arise when passengers are faced with choosing between personal vehicles and buses in a mixed traffic flow. We conducted the computer simulation using a cellular automata framework to analyze the case. The Revised S-NFS model describes the dynamics of vehicles in a single lane, while Kukida's model defines the rules for lane changing. The presence of social dilemma is determined by the social efficiency deficit. We selected four scenarios that represent different states on the fundamental diagram of personal vehicle flow: free flow, critical point, congested flow, and heavy congested flow. The simulations were performed on an infinite two-lane road. The results show that a social dilemma of the prisoner type exists in congested and heavy congested flow, but not in free flow. Additionally, we have conducted a simulation for the scenario with a dedicated bus lane. This simulation has shown the presence of the chicken-type social dilemma. Simulation results can enhance our comprehension of choosing transportation modes.

A study on commuters’ public transportation mode choice behavior in river valley-type cities considering terrain spatial perception: evidence from Lanzhou, China

Existing research rarely examines the subjective and objective built environment of river valley-type cities in relation to travel mode choice, particularly overlooking the heterogeneity among travelers in these cities. In this paper, based on questionnaire survey data and built environment data, terrain spatial perception (TSP) is introduced to expand the theory of planned behavior (TPB), and a Structural Equation Model (SEM) is established. Factor analysis and path analysis are conducted using SPSS and AMOS to estimate latent variables. An integrated model of SEM and random parameter Logit model (RPLM), which can not only analyze the psychological perception factors of commuters in river valley-type cities but also consider the heterogeneity of psychological perception, was constructed to analyze the impact of personal attributes, objective built environment factors, and psychological latent variables on the commuting mode choice behavior of public transport users in river valley-type cities. The results indicate that the five observation indicators corresponding to the proposed terrain spatial perception latent variables can better explain the terrain spatial perception of commuters in river valley-type cities. Different from plain cities, the subjective and objective built environment of river valley-type cities notably influence the travel behavior of commuters. Moreover, the parameters of terrain spatial perception follow a normal distribution, indicating that the sensitivity of different commuters to the terrain spatial perception of river valley-type cities is heterogeneous. The results of our study can provide a reference for alleviating traffic issues in valley cities.

Analisis Pemilihan Moda Angkutan Komoditi Ayam Petelur di Kabupaten Sidenreng Rappang – Sulawesi Selatan

Sidenreng Rappang Regency - South Sulawesi is one of the largest contributors of laying chicken commodities and is distributed to various regions. This research aims to determine the characteristics and choice of transportation modes. This research uses a descriptive quantitative method based on surveys and interviews with 170 respondents using AHP analysis. The results of the research show that the characteristics of the transportation used are pick-up trucks (2 tons), single-wheel trucks (5 tons), 2-axle trucks (8 tons). The dominant departure time during the day is 12.00-14.00 WITA, at night 22.00-00.00 WITA, while the arrival time at the distribution point during the day is predominantly 14.00-16.00 WITA, and at night 00.00-02.00 WITA. The dominant spread is to Makassar City, while outside the province, namely West Sulawesi Province. The choice of efficient transportation mode used in the process of distributing laying hens is the Pick Up mode with a priority weight percentage of 0.61%.

Consumer Preferences and Determinants of Transportation Mode Choice Behaviors in the Era of Autonomous Vehicles

Consumer Preferences and Determinants of Transportation Mode Choice Behaviors in the Era of Autonomous Vehicles

Factors Influencing Students’ Choice of Sustainable Transportation Modes on University Campuses

Abstract The increased number of registered vehicles among students at the universities, such as cars and motorcycles, were causing some problems on the campus and around the hostels, such as traffic congestion, crowded parking, which also lead to disturbances in universities communities. The aims of this study were to identify the types of transportation preferred among Universiti Tun Hussein Onn Malaysia (UTHM) students, and to analyze the factors that influence mode choice among UTHM students. The study was carried out using a self-guided questionnaire with a determined sample of 120 respondents among undergraduate students that included those who lived on campus nor off-campus residences. The data collected were analyzed using descriptive statistics and multiple regression, and the tools used were Microsoft Excel and SPSS (Statistical Package for the Social Sciences). The Finding of this study showed that the preferred mode choice was bus. However, only a few independent variables were statistically significant for each transport mode, respectively, in multiple regression analyzes. Generally, the main factors that affected the mode choice among UTHM students were security and convenience. In utility functions, walking was predicted to have the highest preference among UTHM students.

The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna

Abstract. The transportation dynamics within a European city, Vienna, are examined using a multi-graph representation of the city’s network. The focus is on time-optimized routing algorithms and the effects of altering the average waiting penalty at traffic lights. The impact of these modifications, whether an increase to 60, 90, or even 150 seconds or a decrease to 10 seconds, is observed in the selection of transportation modes and routes for identical origin and destination pairs. The investigation also extends to whether routes shift towards secondary street networks to avoid traffic lights as the waiting penalty increases. Experimental variations in average waiting time for cars aim to uncover detailed effects on transportation mode choices, route length and time changes, and variations in human energy expenditure. These findings could provide valuable insights into the transportation network and its possibilities and help in urban planning and policy development. The results indicate a shift in transportation mode as the waiting penalty for cars at traffic lights increases, and in some instances, routes are redirected to roads of lower importance such as residential or service roads.

Assessment of Sustainable Mobility Patterns of University Students: Case of Cameroon

The transition to sustainable mobility is a recognized socio-economic and environmental challenge, particularly among young adults. In addressing the gap in the literature on young adults’ travel behaviors, especially in Cameroon, this paper investigates the transport mode choices, influencing factors, and barriers to sustainable mobility of students at the National Advanced School of Public Works, Yaoundé (NASPW). Data were collected through online questionnaires with 360 valid responses. Findings revealed that most students used multiple modes of transport for commuting, with moto-taxis being the most common. Accessibility, vehicle speed, and flexibility appeared as the most important reasons for the preferred transport modes, while driver’s license possession, safety perceptions, speed, and proximity were significant predictors for mode choice. Demographic factors were found to influence transport preferences, with distinct clusters prioritizing different aspects. Barriers to public transport were primarily long waiting times and congestion, while active mobility was hindered by distance, infrastructure, and weather. The usage of public transportation was encouraged by its affordability and reduced travel time, whilst active options were preferred due to cost savings and health benefits. To promote sustainable mobility for campus travel, it is crucial to encourage active modes, develop mass transport systems, and raise awareness through symposia and conferences among students and staff.

КРИТЕРІАЛЬНИЙ ВПЛИВ НА ВИБІР ВИДУ ТРАНСПОРТНОГО СПОЛУЧЕННЯ ПРИ ОРГАНІЗАЦІЇ ДОСТАВКИ ВАНТАЖІВ В УМОВАХ МІЖНАРОДНОЇ ІНТЕГРАЦІЇ

Introduction. The organisation of cargo delivery in various transport connection options requires the identification of the most optimal parameters of transportation by certain transport modes and the development of better transport connections. The systematisation of transport and logistics processes requires a comprehensive solution to the problems of organising the delivery of goods in international multimodal connections. The growing demands of the freight clientele are becoming a key factor in the competition between both carriers and logistics operators to serve more profitable cargo flows. Problem Statement. International integration processes involve interaction between all participants in international cargo delivery, and its reliability depends on the effectiveness of its organisation. Ensuring high-quality transport services for a particular cargo delivery is only possible if the criteria are correctly selected and adequately assessed. Purpose. To determine the criteria of influence on the choice of transport mode in the organisation of cargo delivery, taking into account the factor influence characterising the carrying capacity of each transport mode serving a particular order, as well as the synergy of their interaction.

Role of maternal non-transport pro-environmental behaviors in adolescents’ travel-to-school mode choices

This study investigates in UK context the relationship between adolescents’ choice of sustainable transport modes (e.g. active transport like walking or cycling and public transport like buses or subways) for their journey to school and maternal non-transport pro-environmental behaviors, such as energy conservation and environmentally friendly purchases, as well as its temporal changes. Data from waves 4 and 10 of the UK Understanding Society survey were separately analyzed using multinomial logistic regression to explore the relationship between frequency of mothers’ non-transport pro-environmental behaviors and adolescents’ sustainable transport to school. Additionally, to understand changes in the strength of this relationship over time, a regression analysis was conducted examining the interaction of mothers’ non-transport pro-environmental behaviors with the survey year. Findings indicate substantial correlations between an array of variables including adolescents’ age, ethnicity, mothers’ occupational and transport behaviors, the number of cars owned by the household, and the nature of residence (urban vs rural), with the adolescents’ active or public transport choice to school, consistently across both waves. As the primary focus of the study, a positive relationship between mothers’ non-transport pro-environmental behaviors and adolescents’ public transport to school is found, although the strength of this relationship declined over time. Importantly, more easily observable mothers’ non-transport pro-environmental behaviors holds a stronger strength of correlation with adolescents’ use of public transport to school, compared to maternal psychological factors like pro-environmental attitudes. Hence, encouraging a range of sustainable behaviors among mothers is crucial to promote adolescents’ public transport to school.

Correlation the Urban Mobility and COVID-19 Case in Yogyakarta City

COVID-19 is an outbreak that spreads mainly due to human interaction. Transmission is greater when there is a potential crowd. So, the main policy in dealing with the spread of COVID-19 is to limit interactions. Interaction restrictions are carried out in various ways from social distancing to mobility restrictions. Mobility restriction means reducing the movement of the population for various purposes of movement. The less movement the number of transmissions of COVID-19 cases will also decrease. However, in various studies it turns out that this is not always the case. Reducing movement does not necessarily reduce the number of positive cases. Therefore, the purpose of this study is to find the correlation between population mobility and the spreading of COVID-19 cases in Yogyakarta City. Yogyakarta is one of the cities in Indonesia that is the epicentre of COVID-19. This research uses descriptive quantitative method and correlation analysis technique. The population mobility was obtained from primary data in the form of questionnaires, while COVID-19 cases were obtained from secondary data which provided by the Municipality of Yogyakarta City. The results of the analysis show that there is no correlation between the transportation mode choice and frequency of travel, and COVID-19 spreading. However, the travel time has a positive and significant correlation with the spreading of COVID-19.

Unravelling the last-mile conundrum: A comparative study of autonomous delivery robots, delivery bicycles, and light commercial vehicles in 14 varied European landscapes

In this study, the growing need for efficient delivery services in the expanding e-commerce sector is addressed, with a focus on real-life consumption data. A comprehensive modelling framework is proposed to evaluate the efficiency of various transportation modes, including Light Commercial Vehicles (LCVs), cargo bicycles, and Autonomous Delivery Robots (ADRs). Utilizing the Google API, delivery destinations are identified, origin-destination matrices are created, and routes are optimized using Google OR-Tools and a capacitated vehicle routing problem solver. The study's robustness is further enhanced by incorporating real-life consumption data, considering diverse European contexts, varying urban scales, traffic patterns, and topographical factors, thus assessing their impact on transportation efficiency. The findings reveal that ADRs are efficient in pedestrian-focused, traffic-limited areas, while bicycles are more effective in dense city centres. This research highlights the necessity of tailoring transportation mode choice to specific urban characteristics for optimal efficiency and consumer satisfaction.Overall, the present study offers valuable insights into optimizing delivery services in different urban settings, providing a significant model for improving last-mile delivery systems. It contributes to understanding how different transportation modes can be effectively integrated into urban logistics, addressing environmental sustainability, operational efficiency, and real-life consumer demands.

Pemilihan Moda Transportasi Udara Terhadap Frekuensi Penggunaan Transportasi Udara Bandara Matahora

This research aimed to determine the characteristics of users of transportation modes and to find out the frequency of using air transportation at Matahora Airport. The research method used was quantitative with a descriptive approach, which involved depicting and explaining in detail the issues studied based on the data collected in the field. The data collection technique in this research used a questionnaire, where respondents were asked to answer a number of questions about the characteristics and factors influencing the choice of air transportation. Data analysis was conducted using descriptive data analysis to explain the data obtained through a questionnaire. The research results indicated that the characteristics of mode selection for transportation were based on reasons influencing the selection of modes from a total of 60 respondents. The analysis of the characteristics of air passenger travelers showed the largest percentage in the male gender at 68%, age between 36-45 years at 41%, the highest education level being a bachelor's degree at 62%, self-employed occupation at 36%, the reason for using air transportation being faster travel time at 93%, and the influence of mode selection on the frequency of air transportation use simultaneously at 33.4%. Partially, the factors influencing the choice of air transportation mode on frequency were cost at 26.1%, security at 12.1%, and comfort at 9.1%.

Passenger valuation of interchanges in urban public transport

Understanding how passengers perceive public transport interchanges is important to better explain current public transport mode and route choice behaviour and to better predict future demand levels. In this study we derive how passengers value a public transport interchange in a metropolitan context entirely based on recent, large-scale, Revealed Preference data, explicitly distinguishing between different types and modes of public transport interchanges. For this purpose we estimate three discrete choice models using maximum likelihood estimation, based on over 26,000 passenger route choices observed in June 2023 in the Greater London Area. We find that each public transport interchange is on average valued equivalent to 5 min uncrowded in-vehicle time. Additionally, our model results provide quantitative evidence that cross-platform interchanges between two metro journey legs are valued 20–25 % less negatively than a regular metro interchange where a level change is required. Multimodal bus-metro interchanges and out-of-station interchanges are perceived most negatively by passengers. Passengers value bus-bus interchanges on average about 60 % more negatively than metro-metro interchanges, possibly driven by factors such as comfort, service frequency, reliability and (perceived) safety. Our study results can be used for business case and appraisal purposes, when quantifying the impact of service changes which affect the number or type of interchanges.

Estimating multinomial logit models with endogenous variables: Control function versus two adapted approaches

It is shown that the control function (CF) method’s estimates of the modal constants in a multinomial logit model (MNL) with endogenous explanatory variables are biased. This has not previously been reported in the literature, and has consequences in demand analysis, transportation policy design and project evaluation. Two adaptations of existing approaches are proposed as alternatives to CF for deriving estimators of parameters in MNL models with endogenous explanatory variables that evidence good consistency properties. The first approach is based on moment conditions while the second one combines parameters obtained in two consecutive estimation stages. Both approaches employ instrumental variables. These two adapted approaches are implemented using simulated data from a transport mode choice problem. The results are compared with those obtained using the classic control-function method, typically used by practitioners for estimating transport demand models with endogenous variables and making quantitative evaluations of transport policies and projects. All three approaches generate similar estimates for the parameters of the explanatory variables, but the two proposed adaptations produce considerably more accurate estimates of the modal constants. This greater accuracy has potentially significant consequences for multinomial logit models’ predictive ability and estimates of marginal effects, elasticities and the social benefits of projects based on consumer surplus calculations.

EFEKTIFITAS MODA TRANSPORTASI BUS RAPID TRANSIT (BRT) DALAM MENUNJANG AKTIFITAS BEKERJA DI KOTA SEMARANG

Transportation is the lifeblood of everyday life and one of the basic needs of society. Almost everyone needs transportation to meet their needs, such as the need for work, school, recreation and social interaction. The choice of transportation modes in an urban area is now increasingly varied, starting from private or public transportation. Various activities such as government administrative centers, communication centers, industrial centers and trade centers located in the city of Semarang are factors in all people's choices in using modes of transportation. This analysis uses AHP analysis by presenting it in the form of numbers, graphs, tables and narratives. AHP is a method used to rank decision alternatives and to choose the best of several criteria. AHP develops a numerical value to rank each decision alternative, which is based on how far each alternative meets the criteria of the respondent. Based on the data, it can be explained that the most important criteria for respondents to the choice of transportation mode are the time criteria of 96.78%, then the cost criteria of 2.90%, the next for the age criteria of 0.21% and the last for the criteria worker characteristics of 0.01%. Furthermore, the order of priority for selecting the first working mode of transportation is motorbikes at 91.41%, the second is BRT at 8.01% and the last is Angkot at 0.48%. This study concluded that based on the results and discussion of this study are as follows: Based on calculations AHP data processing can be explained that the most important criteria for respondents to the selection of work transportation modes are time criteria of 96.78%, then cost criteria of 2.90%, next for age criteria of 0.21% and finally for characteristic criteria workers by 0.01%. After obtaining the results of alternative weights, the priority for choosing the first working mode of transportation is motorbikes at 91.41%, the second is BRT at 8.01% and the last is Angkot at 0.48%.

Kajian Karakteristik Preferensi Perjalanan Harian Pengguna Moda Transportasi Pribadi Dan Publik Pada Saat New Normal (Studi Kasus : Kelurahan Paku Jaya - Tangerang Selatan)

Transportation is an activity of moving something (goods and/or goods) from one place to another, either with or without means. In this context, ownership and use of private and public vehicles can be said to be an alternative for society in meeting movement demands, for example in carrying out daily trips or daily activities and work. However, the pandemic problem used to be one of the causes of the decline in people's daily activities, but now it has started to improve and people's activities are starting to return to normal. This research aims to determine the choice of transportation modes used by the people of Paku Jaya sub-district after the pandemic is over or the new normal and to find out the factors that influence mode users' preferences for daily travel. Data obtained from distributing questionnaires was processed with the help of SPSS software including Chi-Square Test, Cross Tab, and Regression Analysis. It is known that out of 100 respondents, 85 respondents used private vehicles and 15 respondents used public transportation. It is known that variations in gender characteristics, vehicle ownership, and driver's license ownership have significant differences in choosing a mode of transportation. And it is also known that the variables gender, vehicle ownership, and driver's license ownership have a significant influence on mode choice