Public Transport Users Research Articles

Effect of beliefs and attitudes on public transport users’ choices. The moderating role of perceived intermodal connectivity

Effect of beliefs and attitudes on public transport users’ choices. The moderating role of perceived intermodal connectivity

Exploring intercity travel decision-making in a developing country: Insights from COVID-19 impacts in Iran

This study examines the impact of COVID-19 on intercity travel mode choices in Mazandaran province, Iran, addressing critical gaps in understanding how pandemics affect travel behavior in developing countries. The research focuses on how socio-economic factors, perceived health risks, and travel time influence individuals’ choice of transportation modes during the pandemic. Using a stated preference survey method with 669 participants, the study assessed how concerns about virus transmission and adherence to health protocols shape travel decisions. Discrete choice modeling was employed to predict travel mode shares between public transport and personal vehicles. The findings reveal that COVID-19 risk perception, socio-economic factors, and travel time significantly impact travel behavior. Specifically, heightened perceived risk of infection resulted in a 25% reduction in public transportation use, with individuals increasingly opting for personal vehicles. Additionally, strict adherence to health protocols, such as mask-wearing and vehicle cleaning, improved safety perception, leading to a 40% increase in confidence in public transport. The study also found that socio-economic factors like age, income, and education significantly shaped travel preferences. These insights provide valuable guidance for public health policymakers and transportation authorities to enhance the safety and management of intercity travel during ongoing and future pandemics.

Estrategias de Gestión para la Optimización del Tránsito Urbano en el Cantón La Concordia: Desafíos y Oportunidades

This article analyzes the impact of traffic congestion in La Concordia, Ecuador, from an administrative perspective, and proposes solutions based on a review of existing literature. The study is based on the growing problem of urbanization and insufficient transportation planning, which has caused significant problems in urban traffic, affecting both the quality of life of citizens and the economic productivity of the region. The objective of the study is to propose viable administrative strategies that can reduce vehicular congestion, based on previous experiences in Latin American cities with similar characteristics. In methodological terms, a qualitative literature review was carried out to analyze successful cases in the implementation of sustainable mobility policies, prioritizing those studies that present solutions for medium-sized developing cities. The results of the analysis highlight the importance of implementing intelligent traffic management systems, improving public transport and encouraging the use of non-motorized means of transport, such as bicycles and pedestrian routes. The discussion highlights that, despite technological and administrative advances, there are significant challenges such as lack of funding and social resistance to the use of public transport. The conclusions suggest that the implementation of these solutions must be accompanied by a cultural change and a greater commitment from local authorities to ensure their long-term effectiveness.

DIAGNOSTIC EVALUATION OF URBAN METRO TRANSIT SYSTEM POST-COVID-19

Public transportation usage in Delhi has declined, with the Delhi Metro having a significant share. However, due to fare hikes and COVID-19 restrictions, the DM's share has been decreasing further. To improve ridership, a study is being conducted to evaluate the DM's performance and identify areas for improvement in passenger convenience and comfort. The Magenta line is investigated through an on-board survey to collect primary data. The survey covers commuter perceptions of safety & security, financial & economic factors, infrastructure & comfort and functional & operational features. The Relative Importance Index approach is used to analyse the data and evaluate DM performance. An ANN model is also presented to determine the factors influencing the choice to travel on the DM, with the “metro fare per trip” factor being a key consideration. Based on the analysis results, recommendations are made to improve the DM's performance. The study found that safety and security had the highest RII, followed by efficiency and viability, functional and operational features, infrastructure and comfort, and financial and economic factors. The subway fare had the lowest RII. The ANN model is adapted to understand the reasons behind low metro ridership.

Leading by example from high-status individuals: exploring a crucial missing link in climate change mitigation

Behaviour change has great potential to reduce greenhouse gas emissions quickly, helping to prevent dangerous global warming. Some of the most impactful changes are: flying less, eating less meat, driving electric cars, improving home energy efficiency, increased use of public transport and active travel. However, these choices have proved elusive at scale and are rarely encouraged or modelled by high-status individuals (“leaders”), despite established knowledge about the influence of leaders as role models. Applying theories of embodied leadership and credibility enhancing displays, our novel pre-registered survey experiment (n = 1267) reveals that visible leading by example from politicians and celebrities significantly increases the willingness of members of the UK public to make these high-impact low-carbon choices. In addition, leading by example greatly increases perceptions of leader credibility, trustworthiness, competence, and favourability. We find no significant effects of leading by example on people’s wider perceptions of climate change, but a strong “appetite for leadership” among the public is revealed. In light of these findings, we discuss how embodied leadership by way of visible low-carbon behaviour from leaders may provide a crucial “missing link” for climate change mitigation.

Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries

Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries

A method for evaluating the effectiveness of improving public transport services, parking fee policies, and park-and-ride facilities in order to encourage the use of public transport

Enhancing the quality of public transport services, implementing effective parking fee policies, and developing park-and-ride facilities are common solutions that urban planners and city governments apply to encourage public transport use. However, estimating the impact of these measures on increasing public transport usage during the solution design process is challenging. This article proposes an approach to assess the effects of these measures in the solution design process, which policymakers or city governments can apply to formulate suitable policies and feasible measures aligned with the local context. The approach begins with a survey on travel behaviour, followed by formulating a mode choice model to assess the sensitivity of the mode share to factors affecting mode choice. This approach is applied to Da Lat city, and the research results indicate how to enhance public transport services, determine appropriate parking fee levels, and establish park-and-ride facilities to achieve a public transport share of 5%, 10%, 15%, or higher. One of the main research results shows that the Park and Ride solution is feasible. Additionally, to achieve a growth rate of public transport volume up to 10%, it is necessary to improve public transport quality services combined with an increase in car parking fees in the downtown area

Are shared automated vehicles good for public- or private-transport-oriented cities (or neither)?

Simulation studies suggest that Shared Automated Vehicles (SAVs) could reduce the total vehicle kilometres travelled (VKT) thanks to efficiently pooling multiple users in one vehicle. However, mode choice studies indicate that SAVs would attract mostly public transport users, leading to an increase in VKT. This paper is among the first to combine these operational and behavioural expectations and the first to do so analytically. In our theoretical set-up, travellers choose between car, public transport, and SAVs, depending on their individual valuation of private travel and other attributes of each mode. We find that the introduction of SAVs lead to a VKT change in public-transport-oriented cities ranging from a small decrease to a large increase, where the latter is true for plausible parameter settings and hence is a cautionary point for SAV-introduction policies. Conversely, SAVs would attract only few travellers in private-transport-oriented cities and therefore would not significantly impact VKT.

Re-municipalising sociospatial infrastructure: A journeying ethnography of Greater Manchester's dementia (un)friendly buses

Transport can pose substantial challenges for people with dementia. Dementia-friendly approaches seek to encourage public transport use by enhancing people and places through educational initiatives and architectural augmentation respectively. The Greater Manchester Combined Authority is implementing dementia-friendliness within a major re-municipalisation of public transport. Reporting findings from a journeying ethnography of bus travel with passengers with dementia, this paper critiques contemporary friendly transport. It argues that buses are vital sociospatial infrastructures, the friendliness of which is constituted by entangled socio-material and political economic forces. The re-municipalisation of friendly transport requires a radical civic offer of social de-segregation and equitable development.

“How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland”

The twin challenge of increasing capacity to accommodate growing travel demand while simultaneously decarbonizing the transport sector places enormous pressure on public transport (PT) systems globally. Arguably the most fundamental policy choice and trade-off in designing and operating PT systems in the coming years will be service levels versus cost implications. On the presumption that public (citizen and consumer) opinion is crucial to making such choices, we study this question with a focus on Switzerland by using a factorial experiment (n = 1′634) that considers the frequency and geographic coverage of PT services as well as the cost implications for PT users and taxpayers. We find that support for increased frequency of connections and more services to peripheral regions is high as long as such service expansion is funded mainly by the government, rather than PT users. Preferences are generally consistent across subgroups, except in the case of government funding, where preferences differ by political orientation. This suggests that there is substantial demand across the board for PT services expansion funded primarily by the government, but that the question of funding is also potentially politically the most controversial. While our findings are specific to a country with a highly developed PT system, our research provides a template for similar research in other countries that struggle with a similar challenge.

Get BusActive!: Protocol of a single-blinded randomised controlled trial incentivising public transport use for physical activity gain among young people and adults.

Population level physical activity generally does not meet recommended targets. Compared with private motor vehicle users, public transport users tend to be more physically active and financial incentives may encourage more public transport use, but these relationships are under-investigated. This paper describes the protocol of a randomised controlled trial that aimed to determine the effect of financially incentivising public transport use on physical activity in a regional Australian setting. Get BusActive! is a 9.5-month single-blinded randomised controlled trial. A convenience sample of Tasmanians aged ≥15 years will be randomised to a 14-week incentive-based intervention (bus trip target attainment rewarded by bus trip credits and weekly supportive text messages) or an active control following baseline measures and will be followed up ∼24 weeks later (maintenance phase). Both groups will receive written physical activity guidelines. The primary outcome is change in accelerometer-measured steps/day from baseline to immediately post intervention phase and maintenance phase. Secondary outcomes are change in: smartcard-measured bus trips/week; measured and self-reported minutes/week of physical activity and sitting; transport-related behaviour (using one-week travel diary), perspectives (e.g. enablers/barriers) and costs; health. Linear mixed model regression will determine group differences. Participant-level process evaluation will be conducted and intervention cost to the public transport provider determined. Get BusActive! will fill an important knowledge gap about the causal relationship between financially incentivised public transport use and physical activity-the findings will benefit health and transport-related decision makers. ACTRN12623000613606. U1111-1292-3414.

Co-creating multimodal transportation hubs in Switzerland: How to close the gap between actors across different scales, levels, and sectors

Transforming railway stations and their surroundings into multimodal transportation hubs (MMTHs) involves numerous actors at different scales and from different economic sectors and levels of government. Successful transformations offer a wide range of benefits to sustainable development, including increased public transportation use and mixed-use, high-density station districts. Intensive collaboration and, ideally, co-creation are critical to achieving these outcomes through MMTHs; however, orchestrating all involved actors is challenging and requires supporting methods, and the knowledge required to develop and refine methods is scarce and rarely subjected to systematic analysis. Based on 15 semistructured interviews and two design thinking workshops attended by 13 and 20 MMTH experts, our study shows that the challenges of co-creating MMTHs relate not only to professional matters but also to managing collaboration and implementation among a large number of actors with various roles and interests. In this paper, we develop design guidelines for reviewing and evaluating two current methods and a prototypical method (the functional model) with the goal of identifying potential improvements and supporting MMTH co-creation in Switzerland. These guidelines cover the broad spectrum of co-creation activities, from organization and design collaboration with relevant actors to the development of a shared vision to support financing and the planning process. The functional model encompasses many aspects of the design guidelines and closes gaps between actors across different scales, economic sectors, and governmental levels. Due to the relatively low effort involved, the method can be repeated as needed throughout MMTH development, which often takes several years. Our study demonstrates that existing MMTH co-creation methods require improvement, and the design guidelines developed here suit this purpose. Our work thus contributes to the further development of MMTH co-creation methods, ultimately supporting sustainable development such as CO2 emission reduction and responsible land use.

Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use

Urban transportation plays a pivotal role in sustainable city planning, with multiple transportation modes coexisting to achieve sustainable goals. Despite the extensive use of various mobility datasets to analyze mobility behaviors, comparative studies focusing on multiple transportation modes for origin-destination (OD) trips remain scarce. This study, conducted in Shenzhen, presents three in-depth comparative analyses: (1) variations in the utilization of metros, buses, taxis, and shared bikes; (2) the clustering patterns of OD flows across different modes; and (3) the influence of the built environment at origins and destinations on OD flows. The findings reveal that the use of public transportation and taxis mirrors the city's polycentric layout, with each transportation mode fulfilling distinct roles in linking disparate urban areas. The nonlinear effect of the built environment on OD flows exhibits mode-specific variations, particularly in relation to thresholds. Additionally, network topology characteristics are identified as significant factors in explaining OD flows for all modes. Despite observed differences in weekday and weekend OD flow clustering, the built environment consistently correlates with daily OD flows. These findings provide valuable insights to inform mode-specific strategies that enhance sustainable urban development.

Active travel, public transport and the built environment in youth: Interactions with perceived safety, distance to school, age and gender

IntroductionThis study examined interactive effects of the built environment, perceived safety, age and gender on active travel and public transport use among adolescents for school journeys. MethodThis study used cross-sectional data from 440 adolescents (mean age 15.4 ± 1.5 years, 58% girls) in Melbourne, Australia. Adolescents self-reported their school travel modes, perceptions of traffic and personal safety. Exclusive active travel and public transport use to/from school were determined. Objective built environment features around home and school (1 km buffer) were generated. Multilevel logistic regression was used to estimate main and interactive associations. ResultsOverall, 18% travelled exclusively by active travel and 32% by public transport. Distance to school was negatively associated with exclusive active school travel (OR = 0.44, 95%CI: 0.34, 0.56). Distance to school moderated the association between some built environment attributes (land use mix, residential density around home, distance to public transport stops) and odds of active school travel. There was a positive association between residential density around school and active school travel among those who perceived their traffic environment to be safer. Boys were more likely than girls to use public transport if they lived further from school. A negative association between distance to a public transport stop from home and the odds of public transport use was observed among those who perceived their environment to be less safe. ConclusionThe findings highlight the complexity of influences on mode choice for the school journey. Distance to school remains one of the most important predictors of active travel/public transport use. Supportive built environment attributes, such as a diverse mix of land use around home had facilitating effects on active travel among adolescents who lived closer to school. Multilevel interventions that target both the environment and perceived safety are needed to promote active travel and public transport use among adolescents.

Good for the planet… and for you too? Comparing five travel and health-related outcomes among active, motorized, and public transport commuters

Aligned with sustainable development goals, the promotion of active and public transport commuting has gained ground in the last decade. However, literature empirically addressing the individual outcomes of different commuting modes remains scarce. AimThe core aim of this research was to assess and compare a literature-based set of travel, health, and welfare-related outcomes among three different groups of urban daily commuters: private motorized, public transport, and active commuters. MethodsThis cross-sectional study used a nationwide sample of n= 2370 urban daily commuters from all 17 regions of Spain. Participants, aged between 18 and 70, with an average of M= 33 years, were drawn from all 17 regions of Spain, and responded to an electronic survey on commuting issues. ResultsAs hypothesized, different groups of commuters had different psychosocial trip- and welfare-related outcomes. Indeed, most indicators, except for travel satisfaction, showed a favorable association with the sustainability value attributed to each commuting means. Particularly, active travelers had significantly lower commuting stress and Body Mass Index (BMI) values, and higher rates of life satisfaction and pro-environmental behavior in areas beyond transport, in stark contrast to private motorized users. Public transport users, although ‘in the middle’ in most aspects, report the highest commuter stress rates. ConclusionThe results of this research endorse the assumption that the commuting mode matters, but the relationship between transport sustainability and user outcomes cannot be understood as ‘totally linear’. These insights can be valuable for initiatives aimed at promoting shifts towards more sustainable –and active– transportation patterns among commuters, who constitute an interest group in current mobility planning and decision-making.

The nonlinear effect of atmospheric conditions on middle-school students’ travel mode choices

Atmospheric conditions have non-negligible impacts on middle-school student travel. This paper aims to compare and explore the effect of atmospheric conditions on middle-school students’ travel mode choices in Beijing based on generalized additive mixed models (GAMM). Many atmospheric conditions, including temperature, humidity, and air pollutants, were found to have significant nonlinear effects on middle-school students’ travel mode choices, which vary by variables. For example, the increase in the lowest temperature motivates middle-school students to choose active travel modes and cars. Humidity exceeding 50% is negatively correlated with the percentage of students walking. Increased PM2.5 concentration benefits the percentage of bike use but negatively affects public transport use. Moreover, O3 concentration has a V-shaped effect on walking and car use, which is the opposite of bike and public transport. These findings advance the understanding of effects of atmospheric conditions on middle-school students’ travel behavior and provide references for policymakers.

Choosing to drive from alcohol serving establishments (ASEs).

The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events. We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria. Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times. These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips.

Evaluation of Public Transportation System through Social Network Analysis Approach

In response to the phenomenon of global warming, the transportation sector aims to mitigate carbon emissions by promoting the use of public transportation. This study employs social network analysis to propose effective improvements to the public transportation system, focusing on bus stop locations and route networks in Hwaseong City, South Korea. Two networks were constructed based on existing public transportation routes and usage data at each bus stop. The findings and implications are as follows: Analyzing the public transportation network from a network perspective can effectively contribute to improving the public transportation network route system. By evaluating centrality and brokerage for the existing routes, it is possible to identify inefficient routes and develop efficient route modification plans. Based on actual usage patterns, excessive bus supply and unnecessary bus stop locations can be identified, allowing for the establishment of appropriate operational plans. This can lead to improved operational efficiency and cost savings. Rational route design and operational planning can enhance public transportation services and promote increased use of public transportation. Ultimately, this contributes to sustainable development through carbon reduction in the transportation sector.

Is public transport a promising strategy for increasing physical activity? Evidence from a study of objectively measured public transport use and physical activity

BackgroundGreater public transport use has been linked to higher physical activity levels. However, neither the amount of physical activity associated with each daily public transport trip performed, nor the potential total physical activity gain associated with an increase in trips/day, has been determined. Using objective measures, we aimed to quantify the association between public transport use, physical activity and sedentary time.MethodsA longitudinal study of Australian adults living in Hobart, Tasmania, who were infrequent bus users (≥ 18 years; used bus ≤ 2 times/week). The number of bus trips performed each day was determined from objective smartcard data provided by the public transportation (bus) provider across a 36-week study timeframe. Accelerometer measured steps/day (primary outcome), moderate-to-vigorous physical activity (min/day), and sedentary time (min/day) were assessed across four separate one-week periods.ResultsAmong 73 participants across 1483 day-level observations, on days that public transport was used, participants achieved significantly more steps (β = 2147.48; 95%CI = 1465.94, 2829.03), moderate to vigorous physical activity (β = 22.79; 95% CI = 14.33, 31.26), and sedentary time (β = 37.00; 95% CI = 19.80, 54.21) compared to days where no public transport trips were made. The largest increase in steps per day associated with a one-trip increase was observed when the number of trips performed each day increased from zero to one (β = 1761.63; 95%CI = 821.38, 2701.87). The increase in the number of steps per day was smaller and non-significant when the number of trips performed increased from one to two (β = 596.93; 95%CI=-585.16, 1779.01), and two to three or more (β = 632.39; 95%CI=-1331.45, 2596.24) trips per day. Significant increases in sedentary time were observed when the number of trips performed increased from zero to one (β = 39.38; 95%CI = 14.38, 64.39) and one to two (β = 48.76; 95%CI = 25.39, 72.12); but not when bus trips increased from two to three or more (β=-27.81; 95%CI=-76.00, 20.37).ConclusionsGreater public transport use was associated with higher physical activity and sedentary behaviour. Bus use may yield cumulative increases in steps that amount to 15–30% of the daily recommended physical activity target. A policy and public health focus on intersectoral action to promote public transport may yield meaningful increases in physical activity and subsequent health benefits.

Investigating the Nonlinear Effect of Land Use and Built Environment on Public Transportation Choice Using a Machine Learning Approach

Understanding the relationship between the demand for public transportation and land use is critical to promoting public-transportation-oriented urban development. Taking Beijing as an example, we took the Public Transportation Index (PTI) during the working day’s early peak hours as the dependent variable. And 15 land use and built environment variables were selected as the independent variables according to the “7D” built environment dimensions. According to the Modifiable Areal Unit Problem (MAUP), the size and shape of the spatial units will affect the aggregation results of the dependent variable and the independent variables. To find the ideal spatial unit division method, we assess how well the nonlinear model fits several spatial units. Extreme Gradient Boosting (XGBoost) was utilized to investigate the nonlinear effects of the built environment on PTI and threshold effects based on the ideal spatial unit. The results show that (1) the best spatial unit division method is based on traffic analysis zones (TAZs); (2) the top four explanatory variables affecting PTI are, in order: mean travel distance, residential density, subway station density, and public services density; (3) there are nonlinear relationships and significant threshold effects between the land use variables and PTI. The priority regeneration TAZs were identified according to the intersection analysis of the low PTI TAZs set and the PTI-sensitive TAZs set based on different land use variables. Prioritized urban regeneration TAZs require targeted strategies, and the results of the study may provide a scientific basis for proposing strategies to renew land use to increase PTI.