查看更多>>摘要：Drivers who overestimate their driving skills are at risk. Overestimating drivers are often identified by comparing subjective and objective assessments of driving skills. These methods are influenced by social desirability bias, variation in experts' assessments, challenges in aligning measurement scales, and the high cost of on-road or simulator tests for every driver. This research paper aimed to profile overconfidence and driving skills without performing on-road or simulator tests. The study's first objective was to profile drivers as overconfident or non-overconfident by their accuracy in assessing the complexity of driving situations. The second objective was to profile non-overconfident drivers with low and high driving skills. The third objective was to study the influence of socio-demographic variables such as age, gender, education, driver training, and driving experience on overconfidence and driving skills. A photographic speed and questionnaire survey was conducted among 389 car drivers in and around Mangalore, India. The Fuzzy C-Means algorithm was used to profile overconfidence and driving skills. A correlation analysis was performed to study the influence of socio-demographic variables on overconfidence and driving skills. Correlation analysis found that age, gender, education, and driving experience did not significantly influence overconfidence. Formal training slightly reduced overconfidence as a long-term effect, highlighting the need for enhancing training methods in India. Further, both overconfident and non-overconfident drivers showed varying speeds for different complexities of situations. However, non-overconfident drivers reported a lower mean speed than overconfident drivers, suggesting that varying speed alone does not mitigate overconfidence.
Richa PatelAyushi ShahGaurang JoshiShriniwas S. Arkatkar...
2.1-2.11页
查看更多>>摘要：The metro rail system serves as an important public transportation option that can alleviate traffic congestion and air pollution. However, the ridership of metro rail systems is often affected by various service quality indicators. Therefore, policy making on metro rail system is essential to enhance its attractiveness and competitiveness. This research aims to evaluate and enhance the service quality of a newly launched metro rail system by examining individuals’ perceptions. For this study samples were collected as face-to-face interviews in Nagpur. Using Partial Least Squares Structural Equation Modeling, the study revealed that accessibility, waiting time, affordability, crowding level, and feeder service availability and integration are the most critical factors in overall satisfaction. Based on these findings, the study recommends practical solutions such as bicycle lanes, walkways, park and ride facilities, and a QR-based ticketing system to enhance connectivity and mobility and increase ridership.
Rahul RaoniarMayank Dev ShrivastavaAkhilesh Kumar Maurya
3.1-3.19页
查看更多>>摘要：Pedestrian safety is critical as they are vulnerable on the roads. Long intersection waiting times may cause pedestrians to disregard signals and cross during red phases. Vehicle conflict requires quick reactions from both pedestrians and drivers. To address these concerns in Kolkata, India, where pedestrian accidents are increasing, data were collected from eight signalized intersection crosswalks. Of 2800 observations, 539 were involved in conflicts in the first phase and 352 in the second phase. Using survival analysis methods, the study examined response times. Parametric Accelerated Failure Time (AFT) models, particularly the Weibull AFT model, proved effective for both phases. The research highlighted significant elements such as gender, age, pace, distractions, crosswalk violation, glances, and traffic conditions that affected pedestrian response times during conflict situations. These findings can guide the development of targeted interventions to promote safer pedestrian crossing behaviors.
查看更多>>摘要：Pervious concrete mostly constitutes of single sized coarse aggregates and binders with less or no fine aggregate particles resulting in interconnected voided structure. However, the strength and durability performance of pervious concrete are less due to crack propagation through voids. The objective of this study is to investigate the effect of ground granulated blast furnace slag (GGBS) on the performance of pervious mixes with 12.5 and 20 mm single sized coarse aggregates. GGBS content was varied with proportions ranging from 0 to 50% at 10% intervals based on cement weight. The pre-pared mixes were subjected to experiments to identify the mix properties, functional properties and mechanical properties. The mechanical properties namely compressive strength, split tensile strength and flexural strength were increased by 22.96%, 15.45% and 15.34% respectively for 40% inclusion of GGBS in par with the reference mix. Inclusion of GGBS can decrease the cement consumption for pervious concrete production with sub-stantial improvement in mechanical properties.
查看更多>>摘要：The recent rise in the size of the informal sector in developing economies, particularly in the Global South, is increasingly recognized as an obstacle to sustainable development. The sector remains the primary source of employment and serves as an engine of economic growth in developing countries. Despite their significant contribution, they also threaten the urban environment. The research uses major road transportation networks to investigate the impacts of informal economic activities on mobility and the environment in cities. A section of the National Highway Six (N6) Road in Oforikrom Municipality, Ghana, was used as a case study. The study findings suggest that informal economic activities along major transportation corridors lead to road accidents, traffic congestion, poor sanitation, and reduced aesthetic quality of the city centre. The analysis of variance shows that informal economic activities negatively impact traffic congestion, F (4, 19.15) = 7.57, P < .0001, η~2 = 1.48 and sanitation, F (4, 22.35) = 5.55, P = .003, η~2 = .06. 21.8% of reported accident cases involved informal economic actors. The study recommends policies geared towards cross-institutional partnership, strict law enforcement, and infrastructural renewal where provisions would be made for informal economic operations with the necessary safety measures. The Ministry of Sanitation and the Department of Urban Roads should come together to reach agreements with traders through formal regulations to control indiscriminate waste disposal along the highways. Further research and innovation are needed to integrate such infrastructures into the traditional transport modelling system.
查看更多>>摘要：Urban mobility in India faces significant challenges, including inefficient public transit systems, extended travel times, and difficulties in seamlessly connecting different modes of transportation. To address these complex urban transportation issues, there is a pressing need to develop and evaluate multimodal public transportation systems. This study proposes a comprehensive methodology for assessing the travel time performance of multimodal transport systems in urban areas. The proposed methodology consists of three key steps: (1) Identification of critical travel time performance parameters, (2) Development of individual indices for these parameters, and (3) Evaluation of an overall Travel-Time Performance Index. This approach allows for a systematic assessment of access, in-vehicle, and egress travel times within a multimodal context. To demonstrate the application of this methodology, a case study was conducted in Bhopal, India. The study utilized a combination of survey data and analytical techniques, including Fuzzy Analytic Hierarchy Process (AHP), to evaluate the city’s multimodal transport system performance. The results provide insights into the relative performance of different components of Bhopal’s multimodal transport system, highlighting areas of strength and opportunities for improvement. This methodology offers a valuable tool for transportation planners and policymakers to assess and enhance the efficiency of multimodal transport systems in Indian cities. By facilitating a comprehensive evaluation of travel time performance, this study contributes to the development of more efficient public transit systems, potentially leading to reduced congestion, improved air quality, and enhanced urban mobility. The proposed framework can be adapted and applied to other urban areas, supporting evidencebased decision-making in transportation planning and management.
查看更多>>摘要：The transition to sustainable transportation is a critical challenge for Small Island Developing States (SIDS), which face unique constraints related to energy resources, high fuel costs, and climate change vulnerability. While battery electric buses (BEBs) are increasingly seen as a viable solution, research comparing their operational and economic performance with diesel and compressed natural gas (CNG) buses in SIDS remains scarce. This study addresses this gap by employing a novel methodology that integrates real-world telematics data from a pilot fleet of diesel and CNG buses with a comprehensive cost–benefit analysis (CBA) in a Caribbean SIDS. The analysis reveals that approximately 80% of daily routes are within the range of a representative BEB, supporting overnight depot charging as a feasible strategy. However, route-specific assessments suggest that certain high-demand routes may require opportunity charging to ensure operational efficiency. The financial modelling under various fuel and electricity price scenarios demonstrates significant cost savings for BEBs over their operational lifespan, with competitive payback periods that justify the higher initial investment. Furthermore, BEBs show a substantial reduction in greenhouse gas emissions compared to diesel and CNG alternatives, reinforcing their environmental benefits. These findings provide valuable, data-driven insights for SIDS policymakers and transportation planners, highlighting the viability of BEBs as a cost-effective and environmentally sustainable alternative for public transportation systems in resource-constrained environments.
查看更多>>摘要：People breathe polluted air during their daily commute. The degree of exposure to air pollution is different at various seating positions in a vehicle. Hence, this study investigates the air quality in e-rickshaws in Roorkee. The pollution data of PM_(2.5), PM_(10), and particle count were collected for different seating positions in e-rickshaws during peak hours. The study analyzed anomalies in the PM levels, the influence of meteorological factors, and the impact of seating position on PM exposure using ANOVA and Pearson correlation methods. A strong positive correlation was observed between PM_(2.5), PM_(10), and particle count. The findings revealed that the means of PM exposure levels at various seating positions differed significantly. Furthermore, the study reports that PM concentrations were highest in the passenger seat facing the opposite direction of travel. Meanwhile, the driver’s seat experiences minimum exposure because of the windshield. The results revealed that the exposure differs with the choice of seating location and peak hours inside an e-rickshaw. The study suggests that strategies should be devised to improve vehicle design to reduce PM level exposure. This study offers valuable insights into the air quality inside e-rickshaws and can assist in developing more efficient policies to control over-exposure to air pollution for commuters.
查看更多>>摘要：In developing countries like India, car users not only self-drive their cars, as commonly practised in developed countries. They also employ a permanent driver so that they can be driver-driven. The paper presents a convergent mixed-method approach to understanding car users’ choice to self-drive or be driver-driven. Semi-structured interviews were carried out with both types of car users in Patna to collect both quantitative and qualitative data. Quantitative data comprised demographic and socioeconomic attributes of the car user, and qualitative data included subjective reasons for choosing either way of using their car. A binary logit model with socioeconomic variables and subjective questions deduced from the qualitative reasons for self-drive and driver-driven was built to classify the factors encouraging the decision to be driver-driven. The subjective variables describe an individual’s physical and cognitive abilities to self-drive, generational habits, the tendency of car sharing among household members and the convenience of carrying out chain trips. Later, thick descriptions from qualitative interviews are supplied to provide anecdotal evidence and explain why the factors identified as significant in the choice model play a role in the decision to be driver-driven. The study concludes that car user’s decision to be driver-driven is not only influenced by their socioeconomic attributes but also by their life stage challenges, age-related constraints, disabilities, mobility needs, trip patterns, transport logic in carrying out the trip, habits and social norms etc.
查看更多>>摘要：This study uncovers the pluralities and often overlooked vistages of accessibility in shaping the travel dynamics of suburban areas, revealing how these zones are essential to urban transformation and livability in developing economies. Contemporary planning best practices have endorsed the connections between transportation and land use accessibility as a fundamental paradigm for creating sustainable and functional cities. Yet, while much has been speculated about these relationships, the intricate dynamics of accessibility linkages from the sister neighbors of central cities (the so-called inner suburbs) to urban cores remains cosmetically documented. This gap has left much of the potential for inner suburban accessibility untapped, limiting its impact on city planning and policy direction especially in fast-developing regions. Focusing on one of Africa’s fastest-growing metropolises, this study captures the ulti-dimensional nature of accessibility levels in shaping urban development factors like land value capture, traffic pattern dynamics, and air quality outcomes. Employing institutional surveys and a cross-sectional design, the study finds that the ease of destination accessibility and the introduction of new transportation infrastructure are key determinants of land value differentials in central business district (CBD) adjacent areas. We also found that peak travel times have exacerbated cumulative trip durations across major travel mode choices except for walking. While congestion levels have reduced inter-zonal trips within these inner suburbs, vehicules navigating suburban corridors are experiencing a disproportionate surge in operating costs and generating comparatively higher greenhouse gas emissions within a 1.5-km radius of the CBD. The study offers valuable recommendations beneficial for regions experiencing similar conundrums. We suggest the creation of diffused secondary centers-otherwise known as polycentric development-along major activity corridors emanating from inner suburbs to reduce trip lengths and optimize commuter travel efficiency. The study further discusses opportunities for fostering suburban accessibility and supporting a more sustainable urban transportation future.
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