Short-distance Travel Research Articles

Trihalomethanes (THMs) formation in chlorine-treated and -untreated wastewater and its horizontal and vertical distribution through the irrigation of agricultural fields

ABSTRACT This study examines the formation of trihalomethanes (THMs) in wastewater intended for crop irrigation and its relationship with dissolved organic carbon (DOC), aromaticity, and residual chlorine. The research takes a dual approach: assessing spatial distribution through field samples from canals now distributing treated, chlorinated wastewater and analysing vertical percolation of wastewater through soil previously irrigated with untreated, non-chlorinated wastewater for over 100 years. Spatial analysis reveals that THMs are present in wastewater before treatment, with concentrations increasing post-treatment. Although DOC levels decrease after treatment, their aromaticity remains unchanged, suggesting the persistence of labile DOC. The presence of THMs in treated wastewater from irrigation canals may result from shorter travel distances or increased chlorine use during the COVID-19 pandemic. Vertical soil column experiments indicate a correlation between THM generation, water source, and soil type. Results show that THMs are retained in the soil, where labile DOC is trapped, reducing its concentration while potentially releasing DOC from humic substances. Despite this, THM concentrations do not pose a risk to aquifers, though ongoing monitoring is important should soil and/or treatment methods be altered.

Comparative Analysis of Carbon Footprints from Away and Home Matches: A Study on Leading Basketball and Football Teams in Türkiye

Problem: Basketball and football teams in Türkiye have the capacity to travel hundreds of kilometres for league matches. In general, such major leagues and leading teams travelling from Türkiye have not been sufficiently researched in the context of Türkiye’s leading leagues and teams. In this context, the aim of this study is to assess and compare the carbon footprint of the transport activities of basketball and football teams in Türkiye for their home and away matches for the 2023–2024 season. Methods: The research is based on EN 16258 and ICAO carbon emissions methodologies. This study aims to calculate and compare the carbon footprint of different transport methods, including bus and plane, used by five basketball and football teams in Türkiye. Results: The findings show that there are significant differences between the teams in terms of travelling distances and carbon footprints. Trabzonspor from the Black Sea region released the highest CO2 emissions from air travel with a total of 91,667.1 kgCO2e, while Fenerbahçe Beko had the lowest CO2 emissions with 5316.72 kgCO2e. In terms of bus travel, Gaziantep FK led the CO2 emissions with 4356.45 kgCO2e, while Türk Telekom was the team with the lowest CO2 emissions with 1233.225 kgCO2e. The findings also reveal a notable difference in the number of trees teams need to plant to offset their carbon emissions. Because of their travel patterns, Antalyaspor would need to plant 3481 trees, whereas Fenerbahçe Beko would only need to plant 348 trees. Conclusions: Air travel is emerging as the dominant source of CO2 emissions and has a greater impact on the environmental impact of teams that rely heavily on airplanes. In this study, the league structure and duration play a critical role in shaping the carbon footprint of sports teams. The football season, which is longer compared to basketball, requires more frequent travel, especially for teams in more remote regions, resulting in higher carbon emissions than basketball. The dominance of Marmara region teams in basketball has a negative impact on the carbon footprint since these teams generally have shorter travel distances.

Expanding the associations between built environment characteristics and residential mobility in high-density neighborhood unit

Global trend of urbanization has led to frequent residential mobility and urban shrinkage issues. Planners and policy makers advocate for enhancing built environment quality of neighbourhood units to address these issues. Although the impact factors and degree of the influence of the built environment on residential mobility have been studied, the nonlinear effects at the neighbourhood level, and the relative importance when considered alongside other factors, remain unclear. In this study, the central area of Nanjing using mobile phone signalling data, the 5Ds framework, machine learning algorithms, and interpretable model Shapley Additive exPlanations (SHAP) are examined. The finding shows that (1) economy and neighbourhood ties are still key drivers of relocation. (2) Optimizing highly accessible road network for short-distance travel and developing low-density urban mode has become significant methods to attract relocators, interacting with other factors to influence residential mobility. (3) High-quality neighbourhood design, diverse amenities, and proximity to natural landscapes increase willingness to relocate, (4) while religion, socio-demographics, and large-scale transportation accessibility have minimal impact. The study offers four urban development recommendations to help municipal planners and policy makers create liveable cities and cohesive communities, providing essential insights for early or renewal stage urban planning stages.

Assessing head injury risks in electric scooter accidents: A multi-body simulation study with insights into sex differences

E-scooters have become increasingly popular for short-distance travel in urban areas, but this rise in usage also brings about an increased risk of accidents. Studies have shown that approximately 40% of electric scooter accident victims admitted to hospitals suffer head injuries. Therefore, it is crucial to implement safety measures and improve safety systems and equipment to mitigate these risks. One approach to gaining insights into the injuries users face is through simulations using the multi-body method. This method allows for the reconstruction of accidents by modeling and analyzing the dynamic behavior of interconnected bodies. This study aims to assess the impacts on the user’s head and the injuries they may sustain in electric scooter accidents using numerical methods. Initially, a reference scenario was established based on a YouTube video, with the assumption that the user was an average-height man. Simulations were conducted for various percentiles, including both males and females. Different velocities were simulated to determine the threshold velocity at which survival becomes practically impossible. Two scenarios were considered: one where the car braked for 0.333 s and another where the distance between the start the braking task and the collision was kept constant. The location of the first head impact on the vehicle was also examined. Injury assessment was conducted using two criteria: Head Injury Criterion (HIC) and Brain Injury Criterion (BrIC). The study found that smaller individuals are more vulnerable to severe injuries, and higher car velocities correlate with more severe user injuries. Furthermore, the location of the first impact varies between genders, with women more likely to experience impacts in the lower part of the windshield, while men tend to experience impacts in the central zone. This study highlights the importance of considering user characteristics and accident dynamics in assessing injury risks associated with e-scooters.

Exploration of Mode Choice Behavior for Regular and Short Distance Travel in a Developing Country

The study of mode choice behaviour is receiving a considerable interest in Bangladesh like in other developing countries. Hence, a questionnaire survey of 514 citizens in Chittagong city was conducted to explore mode choice behaviour for short distance and regular travel. Multinomial Logit Model (MNL) was used to assess the factors involved for various mode choices. Gender, age, profession, education, level of income, household type, vehicle ownership, and distance to a stopping spot all seem to be factors that have been found to be important for short-distance and regular travel using the MNL model according to a utility function. The major findings indicates that the majority of the people prefer the bus both for short and regular distance travel, whereas high earners choose the cars for regular travel. Journal of Engineering Science 15(1), 2024, 59-73

빅데이터 의미연결망 분석을 활용한 내국인의 국외관광 인식 연구: COVID-19 전·후 비교

Purpose: This study aims to analyze changes in Korean nationals' perceptions of overseas tourism before and after COVID-19 using social media big data analysis. Methods: The study collected data from social media platforms focusing on Japan, China, and Vietnam as travel destinations. The pre-COVID-19 period was set from January 2017 to December 2019, and the post-COVID-19 period from January 2021 to December 2023. Using the TEXTOM and UCINET, TF-IDF keyword frequency analysis, centrality analysis, and CONCOR analysis were conducted. Results: The analysis revealed an increased desire for overseas travel after COVID-19, along with heightened concerns for health and safety. There was a preference for stable, short-distance travel, as well as increased interest in international experiences and new travel trends. Japan and China emerged as preferred destinations, while interest in Vietnam slightly decreased. Keywords related to COVID-19 preventive measures became prominent in travel considerations. Conclusion: Based on the findings, the study suggests developing tourism products emphasizing hygiene and safety, creating programs for small group travelers, and formulating marketing strategies focused on Japan and China. This research contributes to understanding the impact of COVID-19 on tourism perceptions and can aid in policy-making and marketing strategy development for the tourism industry in the post-pandemic era.

The impact of street-scale built environments on urban park visitations: A case study in Wuhan

The COVID-19 pandemic has changed human life globally. Existing studies have revealed that citizens' visitations to urban parks varied before and after the COVID-19 outbreak. However, few studies have examined how street-scale built environments (SBEs) on routes affect visitations to urban parks at varying COVID-19 risk levels. In this study, a stated-preference survey was conducted to investigate 3,218 visitors' changes in urban park visitation under various COVID-19 risk levels. In addition to park visit influencing factors, including park features, neighborhood built environment, socio-demographic attributes, and travel distances, multiple SBE indexes on visitors' routes to parks were obtained from 34,780 Baidu Map street view images using a deep neural network (DeepLabv3+) method. The results suggest that a high GVI and high traffic congestion on the route from the visitor's home to the urban park led to an increased probability of visiting the urban park by 188.1% (p = 0.044, OR = 2.881) and a decreased probability by 32.3% (p = 0.049, OR = 0.677), respectively. The high probability of visitation was also associated with socio-demographic attributes (including male gender, high income, high and medium education levels, and the elderly) and short travel distances.

Experimental implementation of Speed Stabilizer Based Field Oriented Control of Brushless DC Motor for Scooter Applications

An electric scooter, as one type of Lightweight vehicles technology, is a motorized vehicle designed for short-distance travel and recreational purposes. It is powered by an electric motor and typically has a rechargeable battery that provides sufficient power to operate the vehicle. Electric scooters are similar to traditional scooters but are much quieter, eco-friendly, and more energy-efficient. They are commonly used as an alternative mode of transportation for commuting, sightseeing, and recreational activities. This work presents an experimental implementation of speed stabilizer of electric scooter. In fact, a constant speed function might be required in a specific case in the operation of the scooter. A Field Oriented Control (FOC) method was chosen to control the speed of 3-phase Brushless DC motor of the scooter using a PIC16F873A Microcontroller through a Driver circuit. The control algorithm is designed to produce pulse width modulation (PWM) signal with the PID controller of the pulse bandwidth equipped with this Microcontroller and compared to the return pulse of the speed sensor in order to create and apply a closed back-feed system for good stability performance of scooter speed at different load values. The results obtained from this work show that the possibility of obtaining a wide range of control of the speed of the scooter at different loads with high reliability.

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios.

Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.

Integrating Topographical Map Information in SUMO to Simulate Realistic Micromobility Trips in Hilly and Steep Terrains

Nowadays, shared micromobility has become a trend in cities as an alternative to conventional automotive vehicles, especially for short-distance travel. It also plays an important role in the reduction of the number of automotive vehicles which results in a decrease of air pollution and traffic congestion. Shared micromobility is, however, influenced by the terrain characteristics. Varying elevation within a fleet operational area can cause imbalances in the use of micromobility stations if a steep terrain lies between stations. It also impacts the energy consumption of electric micromobility vehicles such as e-bicycles and e-scooters. Therefore, to simulate the state of charge (SOC) of traction batteries for micromobility close to reality, it is essential to include elevation data into the simulation model. This paper proposes a workflow for Simulation of Urban MObility (SUMO) comprising several steps with concrete implementation and validation in order to prepare and define the simulation model with micromobility stations and the integration of elevation data using a REST API. The integration of elevation and bike station data is validated with a defined vehicle type following a route in the hilly part of Stuttgart, Germany. A comparison of micromobility trips, with and without elevation data, was performed through a simulation by recording changes in energy consumption and driven altitude differences. The proposed workflow provides a basis for more complex use cases such as analysing micromobility business areas, improving vehicle.

OPTIMIZING MICROMOBILITY INFRASTRUCTURE: A COMPREHENSIVE STUDY OF DOCKING, LOCKING, AND CHARGING SOLUTIONS IN METRO CITIES

The surge in micro-mobility options, such as e-scooters and shared bicycles, has transformed urban transportation, providing a sustainable and efficient means for short-distance travel. Despite their benefits, the rapid expansion of these services has unveiled significant infrastructural challenges, particularly concerning docking, locking, and charging systems. This comprehensive study examines these challenges, evaluates existing practices, and proposes optimized solutions to improve the functionality and user experience of micro-mobility in metro cities. Through a detailed analysis of various technologies, their implementation in different cities, and their impact on urban mobility, this research aims to offer actionable insights. Key areas of focus include standardizing docking mechanisms to enhance interoperability, developing robust and user-friendly locking solutions to prevent theft and vandalism, and creating efficient, sustainable charging infrastructure. By studying successful strategies from cities like Paris, New York, and Singapore, the research identifies best practices and common pitfalls. Recommendations emphasize the importance of standardization, integration with public transportation, sustainability, user education, and supportive policies and regulations. The findings of this study aim to guide city planners and micro-mobility service providers in optimizing infrastructure, thereby enhancing the overall efficiency, security, and sustainability of urban transportation networks.

BIKE RENTAL SYSTEM

Abstract The Bike Rental Management System is an innovative web application designed to revolutionize the rental process of bicycles for short-term urban use. It offers a comprehensive solution that caters to both customers and administrators, ensuring a seamless experience for all users.At its core, the system boasts a user-friendly interface that simplifies the process of searching for available bikes, selecting preferred options, and completing rentals. Real-time availability information is provided, empowering customers to make informed decisions. The secure payment processing feature guarantees a safe and convenient transaction experience, instilling trust and reliability in the system.For administrators, the system includes a robust admin panel that allows for efficient management of bikes, user accounts, and rentals. This panel provides a comprehensive overview of the rental operations, enabling administrators to make informed decisions and optimize the rental process for better efficiency.The technology stack behind the system is equally impressive, utilizing Java Servlet for backend logic, JDBC for database connectivity, JavaScript for client-side interactivity, and Bootstrap for responsive design. This ensures a smooth and seamless user experience across different devices and platforms.One of the key advantages of the Bike Rental Management System is its contribution to promoting eco-friendly urban mobility. By encouraging the use of bicycles for short-distance travel, the system helps reduce traffic congestion and carbon emissions, ultimately leading to a cleaner and greener environment. Additionally, the system promotes healthier lifestyles by encouraging physical activity through cycling.In conclusion, the Bike Rental Management System is a comprehensive and innovative solution that offers a wide range of benefits for both users and the environment. Its user-friendly interface, secure payment processing, efficient admin panel, and eco-friendly initiatives make it a standout choice for urban mobility solutions. Index Terms – Bike Rental, JDBC, User Authentication, Product Management, Admin Panel, Payment Processing, Scalability, Rental Process.

Understanding Life-Cycle Greenhouse-Gas Emissions of Shared Electric Micro-Mobility: A Systematic Review

In recent years, the implementation of shared electric micro-mobility services (SEMMS) enables short rentals of light electric vehicles for short-distance travel. The fast expansion of SEMMS worldwide, promoted as a green mobility service, has raised a debate about its role in urban mobility, especially in terms of environmental impacts such as climate change. This article presents a systematic review of the current knowledge on the environmental impacts of SEMMS, with a special focus on the use of life-cycle assessment (LCA) methods. The study offers a detailed analysis of the global warming potential of SEMMS and its critical phases. It is found that shared e-scooters have the greatest greenhouse-gas emissions during their life cycle, while emissions from shared e-mopeds and shared e-bikes tend to be lower. The literature reveals that the materials and manufacturing phase is the most important one for the environmental impact of shared e-scooters, followed by the daily collection of vehicles for charging. The article also identifies influential factors in the sensitivity analysis and the potential for net-impact reduction accounted for mode substitution. Finally, the article identifies further research areas aimed at contributing to the adoption of environmentally responsible practices in the rapidly expanding field of shared services in cities.

The determinants of stadium attendance in elite women’s football: evidence from the FA Women’s Super League

ABSTRACT Research question While increasing the number of spectators at women’s football matches is critical for the commercial growth of the sport, the academic literature offers limited evidence on the drivers of stadium attendance for women’s football. This study investigates the factors influencing fan interest in the English Football Association (FA) Women’s Super League (WSL). Research methods Analysing 476 WSL games played from 2013 to 2018/19, regression models are tested to determine the impacts of socioeconomic factors, product-specific variables, match outcome uncertainty, and the substitution effect. Results and findings Strong local economies increase attendance at FA WSL matches, with weekend games, favourable weather, and shorter travel distances also attracting more fans. Higher stadium capacity, outcome certainty, and home team winning odds are associated with increased fan interest. Fans of integrated clubs attend women’s matches less when these clash with games of the respective men’s team, except for double-headers. Implications Improving scheduling and matchday facilities is vital for women’s football. Harmonising the football calendar while considering men’s and women’s national and international competitions can enhance stadium attendance at FA WSL matches. Encouraging cross-fertilisation between men’s and women’s football supporters can create spillover effects and boost women’s game attendance.

Learning from Moped Crash Data: Identifying Risk Factors Contributing to the Severity of Injuries Sustained by Moped Riders

Mopeds are light vehicles that provide solutions for short-distance travel, traffic congestion, and environmental pollution issues. However, because of the limited physical protection they offer, moped riders are more likely to sustain severe injuries in a crash than vehicle passengers. This study aims to investigate the features and patterns associated with recent moped crashes and analyzed the severity of injuries sustained by riders and related risk factors in 1,657 moped crashes in Michigan during a five-year period (2017–2021). A multinomial logit model was built to examine the association between crash injury severity levels and 13 variables from three main categories: crash features; rider behaviors/cognitive status; and environmental conditions. The descriptive statistics showed that 79% of injuries sustained by moped riders in crashes were minor, and the injured riders tended to be younger, male, and not wearing helmets. The findings indicate a significant correlation between the severity of injuries sustained by riders and several factors: the type of crash (whether single, head-on, or angle collision); the age of the riders (with older riders being more susceptible), visibility conditions (especially during nighttime); and helmet usage. Notably, single and head-on crashes were the primary causes of injuries. These results highlight the importance of heightened vigilance among moped riders, particularly when navigating poorly maintained surfaces or riding under low-light conditions. It is imperative that riders consistently use helmets to minimize risks. Additionally, setting guidelines or restrictions on helmet use, rider age, riding hours, and permissible areas in which to ride could further contribute to improving overall safety for moped riders.

Social and geographical distribution of mobility-related greenhouse gas emissions in Poznań and Tri-city functional urban areas

Mobility is an important source of greenhouse gas (GHG) emissions and a major contributor to human-induced climate change. Much of these emissions result from urban residents’ travel within urban areas (i.e. short-distance travel [SDT]) and away from them (i.e. long-distance travel [LDT]). In this study, we focus on the distribution of mobility-related GHG emissions in two functional urban areas in Poland: Poznań and the Tri-city. Using data from a representative survey (N ~2000 in each area), we investigate the emission distribution and associations between emission levels and the socio-economic characteristics and residential locations of study participants. Emission levels are unequally distributed: the top 10% of emitters contribute >50% of SDT and LDT emissions. People with high education and income levels tend to travel and emit more within and away from the cities. People of retirement age travel and emit much less than the younger people. SDT emission levels are clustered spatially and increase with the increasing distance from the main city centres and decreasing density. LDT emissions have only very weak or no association with residential location.

Optimizing bike rebalancing strategies in free-floating bike-sharing systems: An enhanced distributionally robust approach

Bike-sharing systems are important components of urban transportation systems that facilitate short-distance travel. In recent years, free-floating bike-sharing systems have become popular. However, a major problem in such systems is the increasing number of idle bikes due to their spatial dispersion, which leads to a loss of demand and difficulty in bike rebalancing. To overcome these drawbacks, operators reserve parking areas, and laborers are incorporated into the bike rebalancing operation. We propose a novel dynamic bike rebalancing strategy based on trucks and laborers for free-floating bike-sharing systems. This strategy combines bike collection by laborers and bike transportation by trucks for rebalancing operations. In addition, we consider broken bike detection by laborers and user dynamics in two extension models. Because of the demand uncertainty in bike-sharing systems, we employ an enhanced distributionally robust optimization (EDRO) approach to protect against uncertainty. A target-level constraint is added to the general distributionally robust optimization (DRO) model to further improve the out-of-sample performance. An adaptive robust strategy is also employed to avoid overly conservative solutions. Furthermore, a linear decision rule is adopted to reformulate the EDRO model into a mixed-integer programming model, which guarantees computational tractability. The results of numerical experiments show that the EDRO model outperforms other benchmark models on a series of measures. Moreover, we verify the value of laborers in dynamic rebalancing operations and explore the effect of different bike supply levels and several other parameters on the value of laborers. We also test how the target-level parameter affects the model performance.

Opportunities and Challenges of Malaysia Cross Border Inland Port

Malaysia is a country that has borders close to 3 countries, namely Thailand, Indonesia and Singapore. This strategic location helps Malaysia take advantage of cross-border trade involving these three countries. As a result, there are several sea and land ports built near the borders of the three countries to facilitate international trade with neighbouring countries. However, the facilities available at the sea and land ports near the neighbouring country are seen to be reaching the maximum level of utilization to accommodate the existing cargo capacity that is transited before being sent to the nearby sea port. This study was conducted for the purpose of identifying the opportunities that exist in developing international trade activities in addition to looking at the challenges being faced by key stakeholders involving this cross-border trade. This study was conducted qualitatively involving the collection of research information through interviews conducted with several port personnel. The findings of the study were analysed manually through thematic methods. The study found that, in terms of trade opportunities, some provinces in the south of Thailand are highly dependent on the ports available in the country given the short travel distance to ship their trade goods to the port compared to their own country. However, inland ports in our country have almost reached the maximum level of use. In addition, this study also found that there is a shortage of ships entering the port of Penang due to the demand for ships rising sharply for trade routes involving countries outside Asia. In this regard, Malaysia is seen to be able to become a major trade hub involving Southeast Asian countries if we are able to improve existing facilities of ports in this country as well as reduce bureaucracy for the purpose of increasing existing productivity to speed up the clearance process.

A cooperative optimization method for the layout of shared bicycle parking areas and delivery quantity

With the popularity of shared bicycles in urban areas, more and more residents choose this fast and convenient mode of transportation for short-distance travel. By optimizing the layout of shared bicycle parking areas and delivery quantity, the investment cost of shared bicycle enterprises can be effectively reduced, and the convenience of residents' travel can be improved at the same time. In this paper, we develop a collaborative optimization model for the layout of the shared bicycle parking area and delivery quantity, aiming at minimizing the walking distance of residents and the investment cost of enterprises, while considering the constraints of the parking area's attractive range and the number of bicycles placed. Aiming at the characteristics of this mixed integer nonlinear problem, an improved genetic algorithm incorporating symmetric individual precision control mechanism is designed. Finally, taking the planned area between the Second Ring Road and the Third Ring Road in the northern part of Jin-niu District, Chengdu as the background, the proposed collaborative optimization model for the layout of shared bicycle parking areas and delivery quantity is applied to a real scene. The results show that after optimization, the number of parking areas is reduced by 2, and the total investment cost is reduced by about 12.2%.

Mining the Micro-Trajectory of Two-Wheeled Non-Motorized Vehicles Based on the Improved YOLOx

Two-wheeled non-motorized vehicles (TNVs) have become the primary mode of transportation for short-distance travel among residents in many underdeveloped cities in China due to their convenience and low cost. However, this trend also brings corresponding risks of traffic accidents. Therefore, it is necessary to analyze the driving behavior characteristics of TNVs through their trajectory data in order to provide guidance for traffic safety. Nevertheless, the compact size, agile steering, and high maneuverability of these TNVs pose substantial challenges in acquiring high-precision trajectories. These characteristics complicate the tracking and analysis processes essential for understanding their movement patterns. To tackle this challenge, we propose an enhanced You Only Look Once Version X (YOLOx) model, which incorporates a median pooling-Convolutional Block Attention Mechanism (M-CBAM). This model is specifically designed for the detection of TNVs, and aims to improve accuracy and efficiency in trajectory tracking. Furthermore, based on this enhanced YOLOx model, we have developed a micro-trajectory data mining framework specifically for TNVs. Initially, the paper establishes an aerial dataset dedicated to the detection of TNVs, which then serves as a foundational resource for training the detection model. Subsequently, an augmentation of the Convolutional Block Attention Mechanism (CBAM) is introduced, integrating median pooling to amplify the model’s feature extraction capabilities. Subsequently, additional detection heads are integrated into the YOLOx model to elevate the detection rate of small-scale targets, particularly focusing on TNVs. Concurrently, the Deep Sort algorithm is utilized for the precise tracking of vehicle targets. The process culminates with the reconstruction of trajectories, which is achieved through a combination of video stabilization, coordinate mapping, and filtering denoising techniques. The experimental results derived from our self-constructed dataset reveal that the enhanced YOLOx model demonstrates superior detection performance in comparison to other analogous methods. The comprehensive framework accomplishes an average trajectory recall rate of 85% across three test videos. This significant achievement provides a reliable method for data acquisition, which is essential for investigating the micro-level operational mechanisms of TNVs. The results of this study can further contribute to the understanding and improvement of traffic safety on mixed-use roads.