Establish of air pollutants and greenhouse gases emission inventory and co-benefits of their reduction of transportation sector in Central China.

Recently, the transportation sector in China has gradually become the main source of urban air pollution and primary driver of carbon emissions growth. Considering air pollutants and greenhouse gases come from the same emission sources, it is necessary to establish an updated high-resolution emission inventory for the transportation sector in Central China, the most polluted region in China. The inventory includes on-road mobile, non-road mobile, oil storage and transportation, and covers 9 types of air pollutants and 3 types of greenhouse gases. Based on the Long-range Energy Alternatives Planning System (LEAP) model, the emissions of pollutants were predicted for the period from 2020 to 2035 in different scenarios. Results showed that in 2020, emissions of SO2, NOx, CO, PM10, PM2.5, VOCs, NH3, BC, OC, CO2, CH4, and N2O in Henan Province were 27.5, 503.2, 878.6, 20.1, 17.4, 222.1, 21.5, 9.4, 2.9, 92,077.9, 6.0, and 10.4 kilotons, respectively. Energy demand and pollutant emissions in Henan Province are simulated under four scenarios (Baseline Scenario (BS), Pollution Abatement Scenario (PA), Green Transportation Scenario (GT), and Reinforcing Low Carbon Scenario (RLC)). The collaborative emission reduction effect is most significant in the RLC scenario, followed by the GT scenario. By 2035, under the RLC scenario, energy consumption and emissions of SO2, NOx, CO, PM10, PM2.5, VOCs, NH3, CO2, CH4, and N2O are projected to decrease by 72.0%, 30.0%, 55.6%, 56.0%, 38.6%, 39.7%, 51.5%, 66.1%, 65.5%, 55.4%, and 52.8%, respectively. This study provides fundamental data support for subsequent numerical simulations.

Optimization of household medical waste recycling logistics routes: Considering contamination risks.

The escalating generation of household medical waste, a byproduct of industrialization and global population growth, has rendered its transportation and logistics management a critical societal concern. This study delves into the optimization of routes for vehicles within the household medical waste logistics network, a response to the imperative of managing this waste effectively. The potential for environmental and public health hazards due to improper waste disposal is acknowledged, prompting the incorporation of contamination risk, influenced by transport duration, waste volume, and wind velocity, into the analysis. To enhance the realism of the simulation, traffic congestion is integrated into the vehicle speed function, reflecting the urban roads' variability. Subsequently, a Bi-objective mixed-integer programming model is formulated to concurrently minimize total operational costs and environmental pollution risks. The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). This algorithm employs a sophisticated approach, amalgamating congestion distance and individual ranking to discern optimal solutions from the population. It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm's convergence properties. Furthermore, it leverages the concept of crossover-induced elimination to preserve the genetic diversity and overall robustness of the solution set. The empirical evaluation of AH-NSAFSA is conducted using a test set derived from the Solomon dataset, demonstrating the algorithm's capability to generate feasible non-dominated solutions for household medical waste recycling path planning. Comparative analysis with the Non-dominated Sorted Artificial Fish Swarm Algorithm (NSAFSA) and Non-dominated Sorted Genetic Algorithm II (NSGA-II) across metrics such as MID, SM, NOS, and CT reveals that AH-NSAFSA excels in MID, SM, and NOS, and surpasses NSAFSA in CT, albeit slightly underperforming relative to NSGA-II. The study's holistic approach to waste recycling route planning, which integrates cost-effectiveness with pollution risk and traffic congestion considerations, offers substantial support for enterprises in formulating sustainable green development strategies. AH-NSAFSA offers an eco-efficient, holistic approach to medical waste recycling, advancing sustainable management practices.

Collaborative optimization of multi-modal transport solutions for urban-rural bus routes.

Faced with the land use heterogeneity and trip distribution non-equilibrium along the corridor connecting urban district and rural area, the operation characteristics of the all-stop bus, the express bus and the shuttle bus running on the transportation corridor should be given full consideration, as well as the tradeoff between passenger trip cost and bus operation cost during the peak-hour period. In order to realize the reliable decision of bus resources configuration for urban-rural public transportation, a bi-objective programming model of multi-modal urban-rural bus operation scheme is established, where the decision variables include the departure frequency of different bus modals, the terminals of shuttle buses, and the stop scheme of express buses, under the constraints of departure interval, passenger volume, vehicle occupancy, section capacity usage and modal competition. To validate the feasibility of proposed optimization model, an urban-rural bus corridor from Rural Jasmine Ecological Park in Hanjiang District to West Xiangyang Bridge in Songqiao Town was chosen as a study case, and the operation organization scheme of three bus modals were solved by the mathematical solver Lingo using mixed integer programming. Meanwhile, the scheme differences under different subobjective weights were discussed, taking into account the uncertain passenger demand and operation supply. The result shows that the increase of passenger trip cost weight will increase the departure frequency of all three bus modals, while the increase of operation cost weight will decrease the total operating vehicles, but the stop frequency at middle stations for express buses will increase accordingly. Compared to the current operation scheme, the optimized scheme can greatly enhance the section capacity usage at a slight sacrifice of passenger trip time with fewer bus vehicles.

Effect of formulations over a Periodic Capacitated Vehicle Routing Problem with multiple depots, heterogeneous fleet, and hard time-windows.

This article presents a novel contribution to the Periodic Vehicle Routing Problem (PVRP) by introducing two new problem formulations which differ in the usage of the crucial flow variable. The formulations are tailored to meet the specific demands of the vending machine industry in Medellín, Colombia, and require considering a PVRP with time windows, a heterogeneous fleet, and multiple depots. This scenario, tailored to address real-world complexity and computational challenges, brings to light an exponential surge in integer variables as customer numbers increase. The research presents an analysis of PVRPs that include the four mentioned attributes, compares their similarities, and delves into their nuances. From the analysis it is derived that the variant of the PVRP presented has not been considered previously, taking into account not only these attributes, but also the restrictions involved. Empirical experiments are conducted to examine the intricate interplay between the two proposed formulations, highlighting their impact on the performance of the GUROBI solver. The study provides valuable insights into problem-specific adaptations and algorithmic approaches, emphasizing the significance of the proposed formulations in addressing multifaceted PVRPs. In essence, this research positions the introduction of these two formulations as a pioneering step, offering a new paradigm for approaching the PVRP.

Evolutionary game and simulation study of public transport under government incentive and punishment mechanism.

Public transport plays an indispensable role in the whole public transport system. This paper makes an in-depth study on how public transport can provide passengers with higher service quality while meeting the needs of passengers. In order to achieve this research goal, this paper organically incorporates the three key subjects of government supervision, public transport and passengers into the research framework. Evolutionary game theory is used to construct the corresponding research model. It has been found that the decision-making behaviours of government regulators, public transport and passengers are intricately intertwined to influence each other in the evolutionary process. It is particularly noteworthy that the incentive or punishment measures adopted by the government have a great impact on the quality of public transport services. In addition, timely supervision and inspection of government regulatory authorities by higher authorities proved to be crucial for buses to provide stable and high-quality services. This study reveals the mechanisms of interaction between different subjects in the public transport system, particularly the government-guided incentive measures and supervision mechanism to promote the overall service level. To further support the research conclusions, this paper carries on the simulation analysis, and puts forward the countermeasures and suggestions for the bus to provide high-quality service according to the simulation results. These recommendations will help guide the government, public transport and passengers to make better decisions in the synergistic development process, thereby improving the overall level of service.

Health of Family Members of Road Transport Workers: Evaluation of Perceived Stress and Family Effectiveness.

The health of road transport workers is affected by working conditions and life. However, there is a lack of studies on the level of stress and health of the families of these workers. This study aimed to evaluate the perceived stress level and family effectiveness of family members of road transport workers. A quantitative study was carried out with the family members of road transport workers in the southern region of Brazil. For data collection, a sociodemographic form, the Perceived Stress Scale (PSS), and the Evaluation of Family Effectiveness Strategies were used. The data were analyzed by simple frequency, Spearman correlation coefficient (ρ) (p < 0.05), and descriptive analysis from the perspective of Systemic Organization. The sample was composed of 49 family members of road transport workers. Perceived stress was higher in family members who had more than nine years of education (p = 0.0403). Family members who scored higher in Family Effectiveness scored high on the targets of Control (p = 0.0353) (Control aims to reduce anxiety and prevent and eliminate events that threaten family stability) and Growth (p = 0.0360) (represented by attitudes that promote new roles in response to critical situations experienced by families, which require re-adaptation processes and adjustments). The Control target was significant (p = 0.0353) in families that had more than three people. The Coherence dimension (concerning self-esteem, body image, personal identity, self-confidence, and sexual identity) presented positive significance (p = 0.0244) in families with health problems and whose income was less than USD 792.00 per month (p = 0.0072). The Individuation dimension (including functions and responsibilities, where talents are reinforced, as well as initiatives that allow for the incorporation of knowledge to assume behaviors against personal/family and environmental pressures), was significant (p = 0.0138) in families with incomes over USD 792.00. The Maintenance System (strategies for decision-making, problem negotiation, ritual and traditional roles, communication patterns, standards, financial management, and approaches to maintaining family harmony) presented positive significance (p = 0.0151) in families where drivers worked as intercity drivers, as did the Stability target (p = 0.0196) (concerning the continuity of routines, structure, organization, traditions, and values assumed by the family and transmitted from generation to generation, which promote unity and the development of values, attitudes, and beliefs). In conclusion, social factors, such as education, income, diseases, type of worker activity in road transport, and number of people in the family, influenced perceived stress and family effectiveness, which demonstrates the need to increase the promotion of health care for the families of road transport workers.

Province-Level Decarbonization Potentials for China's Road Transportation Sector.

Decarbonizing road transportation is an important task in achieving China's climate goals. Illustrating the mitigation potentials of announced policies and identifying additional strategies for various vehicle fleets are fundamental in optimizing future control pathways. Herein, we developed a comprehensive analysis of carbon dioxide (CO2) emissions from on-road vehicles as well as their mitigation potentials based on real-world databases and up-to-date policy scenarios. Total CO2 emissions of China's road transportation are estimated to be 1102 million tons (Mt) in 2022 and will continue to increase if future strategies are implemented as usual. Under current development trend and announced policy controls (i.e., integrated scenario), annual CO2 emissions are estimated to peak at 1235 Mt in 2025 and then decline to approximately 200 Mt around 2050. The scenario analysis indicates that electrification of passenger vehicles emerges as the most imperative decarbonization strategy for achieving carbon peak before 2030. Additionally, fuel economy improvement of conventional vehicles is identified to be effective for CO2 emission reduction for trucks until 2035 while new energy vehicle promotion shows great mitigation potentials in the long term. This study provides insight into heterogeneous low-carbon transportation transition strategies and valuable support for achieving China's dual-carbon goals.

Sustainable logistics development strategy based on SWOT and analytic hierarchy process.

Due to the implementation of sustainable green development strategy, the study uses the competitive situation method and analytical hierarchy process of logistics enterprises to conduct structural analysis and weight calculation of factor indicators for their development strategies. Afterwards, the exponential smoothing prediction method was used to weight the logistics data. Moreover, through comparative analysis of the indicator evaluation system, the average weights of the advantageous factors of logistics enterprises were found to be 0.0232, 0.1102, 0.0522, and 0.0468, respectively. The energy consumption, transportation volume, and turnover of logistics transportation increased by 68.9% and 52.3% in 2022, respectively, which had a significant impact on the sustainable development of the logistics industry. It has been demonstrated that a sustainable logistics development strategy based on the enterprise competitive situation method and the analytic hierarchy process is both feasible and superior. Furthermore, this strategy has the potential to enhance the environmental benefits and green development of the economy and society.

Access to primary healthcare services among adults with disabilities in Brazil.

OBJECTIVE: To investigate perspectives of people with disabilities in Brazil regarding the access to primary healthcare. METHODS: In-depth interviews were conducted with 44 individuals with disabilities in Pernambuco, Distrito Federal, and São Paulo between March 2020 and November 2021. These interviews were transcribed, coded, and analysed thematically, using the Levesque framework to identify healthcare access barriers. RESULTS: Participants expressed a solid understanding of their healthcare needs and existing obstacles. However, individuals with hearing and visual impairments experience challenges because of communication barriers. In Pernambuco, the Community Health Agent was often the initial point of contact for primary care services. Public transportation lacked accessibility, from buses to driver attitudes, posing difficulties for people with disabilities. More accessible transportation and improved urban infrastructure could enhance service access. High medication costs were reported due to limited healthcare unit availability. Communication accessibility issues, inadequate audio-visual resources and equipment were also identified as barriers. Attitudinal barriers among healthcare professionals and subpar home visit services further hinder access. CONCLUSION: To address these challenges and improve the well-being of individuals with disabilities in Brazil, comprehensive action is essential. This includes leadership, governance, and resource allocation reforms to meet healthcare needs. Initiatives like disability-focused training for service providers, enhanced transportation options, improved information accessibility, and increased support from community healthcare workers can collectively enhance the lives of people with disabilities.

Clinician Awareness of Patient-Reported Health-Related Social Needs: There's Room for Improvement.

INTRODUCTION: People experiencing health-related social needs (HRSNs), such as transportation insecurity, are less likely to undergo preventive health screenings. They are more likely to have worse health outcomes overall, including a higher rate of late-stage cancer diagnoses. If primary care clinicians are aware of HRSNs, they can tailor preventive care, including cancer screening approaches. Accordingly, recent guidelines recommend that clinicians "adjust" care based on HRSNs. This study assessed the level of clinician awareness of patient-reported HRSNs and congruence between clinician perception and patient-reported HRSNs. METHODS: We surveyed patients aged 50 to 85 years and their clinicians in 3 primary care clinics that routinely screen patients for HRSNs. Patients and clinicians reported the presence/absence of 6 HRSNs, including food, transportation, housing and financial insecurity for medications/healthcare, financial insecurity for utilities, and social isolation. Kappa statistics assessed the concordance of reported HRSNs between patients and clinicians. RESULTS: Across 237 paired patient-clinician surveys, mean patient age was 65 years, and 62% and 13% of patients were female and Latinx/Hispanic, respectively. Concordance between clinician- and patient-reported HRSNs varied by HRSN, with the lowest agreement for food insecurity (kappa = .08; 95% CI: 0.00, 0.17; P = .01) and highest agreement for transportation insecurity (kappa = .39; 95% CI: 0.18, 0.59; P < .001). The other HRSNs assessed were housing insecurity (kappa = .30; 95% CI: 0.05, 0.55; P < .001), social isolation (kappa = .24; 95% CI: 0.03, 0.45; P < .001), financial insecurity for utilities (kappa = .21; 95% CI: -0.02, 0.45; P < .001), and financial insecurity for healthcare/medications (kappa = .12; 95% CI: -0.02, 0.27; P < .001). In particular, discrepancies were noted in food insecurity prevalence: patient-reported food insecurity was 29% whereas clinician-reported food insecurity was only 3%. DISCUSSION: Clinician awareness of patients' social needs was only modest to fair, and varied by specific HRSN. In order to adjust care for HRSNs, clinics need processes for increased sharing of patient-reported HRSNs screening information with the entire clinical team. Future research should explore options for sharing HRSN data across teams and evaluate whether better HRSN data-sharing impacts outcomes.

Navigating urban congestion: A Comprehensive strategy based on an efficient smart IoT wireless communication for PV powered smart traffic management system.

Egypt faces extreme traffic congestion in its cities, which results in long travel times, large lines of parked cars, and increased safety hazards. Our study suggests a multi-modal approach that combines critical infrastructure improvements with cutting-edge technologies to address the ubiquitous problem of traffic congestion. Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals. The traffic management system incorporates detection cameras, Raspberry Pi 3 microcontroller, an Android application, cloud connectivity, and traditional traffic lights that are powered using PV modules and batteries to secure the traffic controllers operation in case of grid outage and assure service continuity. The model examines the difficulties associated with Internet of Things (IoT) communication, highlighting possible interference from device-to-device (D2D) devices and cellular user equipment. This all-encompassing strategy aims to reduce fuel consumption, increase road safety and improve traffic efficiency. The model predicts a significant increase in Egypt's urban mobility by utilizing the possibilities of IoT and 5G technologies, which would improve Egypt's towns' livability and efficiency. The goal of this paper is to modernize Egypt's traffic management system and bring it into compliance with global guidelines for intelligent transportation networks.

Integrated municipal solid waste management using ArcGIS tools: A case of akaki-kality sub-city, addis ababa, ethiopia.

This study aimed to optimize the solid waste collection and transportation system using ArcGIS Network Analyst and location-allocation tools. The generated solid waste was characterized by proximate analysis. The generation rate and composition were determined according to standard methods. The average solid waste generation rates for households, commercial sites, institutions, and recreational places were 0.48 kg/c/day, 15.03 kg/fac/day, 9.32 kg/fac/day, and 22.8 kg/fac/day, respectively. The estimated total generation rate of the sub-city is 207,004.03 kg/day and 712.13 m3/day as discarded base. Composition analysis revealed that food waste is the major component of municipal solid waste, with estimated weight and volume of 134,696.08 kg and 299.46 m3, respectively. Proximate analysis indicated that food and textile wastes have relatively high moisture content and fixed carbon. Candidate pre-collection bin allocations were optimized based on factors such as road network, distribution of solid waste generators, and existing temporary dumping sites, resulting in 1052 potential bin locations. Transfer station allocation was optimized by considering land use-land cover, slope, and geology. Twelve transfer routes and four transport routes were established to efficiently serve the bins and final waste destinations. In conclusion, the study demonstrates that ArcGIS Network Analyst and location-allocation tools can effectively optimize the municipal solid waste collection and transportation system, providing a robust framework for improving waste management efficiency. However, further research is recommended to validate these findings through field application.

A Qualitative Study of Transportation-Related Barriers to HIV Care in South Carolina.

OBJECTIVES: Addressing structural barriers to care for people living with human immunodeficiency virus (HIV) in the southern United States is critical to increase rates of viral suppression and to reduce existing HIV disparities. This qualitative study aimed to describe transportation-related barriers experienced by people living with HIV in South Carolina, understand perceived effects of transportation vulnerability on HIV care, and explore strategies used by individuals to overcome transportation-related challenges. METHODS: We conducted semistructured interviews with 20 people living with HIV from South Carolina who were either reengaging in HIV care after a prolonged absence (>9 months) or in care but with a detectable viral load (ie, >200 copies/mL). All people living with HIV reported transportation vulnerability. A deductive/inductive approach was used to identify transportation-related barriers perceived to negatively affect HIV care. We also identified strategies and resources described by people living with HIV as helpful in addressing transportation challenges. RESULTS: Participants described a range of transportation-related barriers to HIV care, including lack of access to reliable, safe, and affordable transportation, as well as stigma due to HIV and socioeconomic statuses. These barriers were reported to negatively affect engagement in care and worsen both physical and mental health. Participants indicated flexible clinic policies and instrumental support from family and friends were useful in overcoming barriers. CONCLUSIONS: This study offers insight for the development of transportation interventions to improve equitable access to HIV care for people living with HIV in South Carolina. It also calls attention to the ways in which transportation vulnerability, HIV-related stigma, and disability status intersect to create unique challenges for some people living with HIV.

Development of a multifactorial prediction model for commute mode choice in 10 983 Finnish public sector employees: a cross-sectional study.

OBJECTIVE: The objective of this study is to examine the feasibility of using survey data to identify factors that predict commute mode choice. DESIGN: The study design is cross-sectional. SETTING: Survey data from the Finnish Public Sector study (2020) were used. PARTICIPANTS: 42 574 public sector employees, of whom 10 983 were selected for the final sample. These included employees with 5 km or less commuting distances and those working full-time onsite or partly remotely. The mean age was 46 (SD 11) years, and 84% were women. PRIMARY OUTCOMES: Commute by (1) bike or foot (an active mode) during summer and winter weather and (2) by car (a passive mode) during summer and winter weather. METHODS: Using logistic Lasso (least-absolute-shrinkage-and-selection-operator) regression, we developed and tested a prediction model for short commutes of 5 km or less to identify the characteristics of employees most likely to commute actively during summer and winter weather and passively during summer and winter weather. RESULTS: All models had a good predictive ability with a C-index of 0.82, 0.77, 0.72 and 0.71. Cycling and walking during summer weather were predicted by shorter commutes, higher physical activity, lower body mass index (BMI), female sex and higher team psychological safety. Predictors of cycling and walking during winter weather were shorter commute length, higher physical activity, lower BMI and higher age. Commuting by car during summer weather was predicted by longer journey length, higher BMI, lower physical activity, male sex and having children 7-18 years old living at home. Predictors of driving during winter weather were almost identical, but the male sex was replaced by having a spouse. CONCLUSIONS: We identified the correlates of active and passive commute choice in different weather conditions with eight variables. This information can be used to develop and target interventions to promote sustainable and healthy commuting modes.

Reassessing the non-linear causal link between long-duration commuting and self-rated health: do behavioral preferences and built environment matter?

Introduction: Long-duration commuting is widely recognized for its significant influence on health. However, while research has traditionally focused on direct impacts, there remains a critical need to explore the nonlinear dynamics of this relationship. This study aims to deepen our understanding of how behavioral preferences and built environments contribute to these complex interactions. Methods: This study was conducted in Jinan, China's most congested city, using data from the "Jinan Residents Commuting Survey" of 1,755 participants aged 19 to 59. We applied Generalized Propensity Score Matching (GPSM) to explore the nonlinear effects of commuting time on self-rated health, adjusting for participants' sociodemographic characteristics. Variables related to active commuting, physical activity, and perceived built environment were also examined for their potential moderating effects. Results: Commuting for less than 21 minutes enhances health, but negative effects intensify and peak at 60 minutes. Heterogeneity analysis reveals that women and older adults, especially those with higher incomes, are more susceptible to long commutes, experiencing a delayed onset of adverse effects. While active commuting offers health benefits, it may exacerbate health issues if prolonged. Conversely, regular physical activity consistently improves health outcomes related to commuting. Additionally, factors like residential greenery and walkability help alleviate commuting-related stress, improving the overall commuting-health dynamic. Discussion: This study clarifies the commuting-health relationship by identifying key time thresholds and the positive effects of active commuting and physical activity on mitigating longer commute impacts. The findings inform healthier commuting behaviors and offer practical guidelines for urban planning and policy-making to enhance commuter well-being.

Effect of type of anticoagulant, transportation time, and glucose in the culture media on neutrophil viability and function test results in dairy cattle.

In dairy cattle research, in vitro assessment of innate immune function is commonly evaluated by flow cytometry via the quantitative analysis of circulating polymorphonuclear leukocytes (PMN) functionalities specifically focusing on the capacities for phagocytosis (PC) and oxidative burst (OB). Variations in these PMN functions, however, may not only be influenced by the health status of the animals but also by technical, non-animal related factors. Our objectives were to assess the PMN viability, PC and OB capacities from blood samples collected in tubes coated with different anticoagulants (acid citrate dextrose (ACD) and ethylenediaminetetraacetic acid (EDTA)) and stored for 0, 3, 6, 9, and 12 h at 4°C (to mimic transportation timeframe). Furthermore, we evaluated the PMN functionalities (PC and OB) in samples incubated in culture medium with glucose (7.2 mM) versus no glucose. Over five replicates, coccygeal blood samples were collected from three nulliparous Holstein heifers (5 ACD and 5 EDTA per heifer) and allocated in a refrigerated container (4°C) for 0, 3, 6, 9, and 12 h. At each time point, PMN were isolated using gradient centrifugation. Immunolabeled PMN (CH138A) were subjected to a tricolor fluorescent staining to evaluate their viability (viable, apoptotic, and necrotic PMN). Phagocytosis and OB were assessed by incubating PMN with fluorescent beads and by phorbol 12-myristate 13-acetate stimulation, respectively. The effects of anticoagulant type, storage time, and presence of glucose in the culture medium on PMN viability and function parameters were fitted in mixed linear regression models. The proportion of viable PMN at 0 h was similar for ACD and EDTA (92 ± 4.6% and 93 ± 4.6%, respectively) but it decreased to 78 ± 4.6% for ACD and 79 ± 4.6% for EDTA after 6 h of storage. The proportion of viable PMN was not different between ACD and EDTA at any time point. The proportion of PMN that engulfed beads (PC percentage) and the PC median fluorescence intensity (MFI) reached their highest value after 3 h of storage compared with the other time points. However, the anticoagulant type (ACD versus EDTA) and the presence of glucose in the culture medium did not influence these PC parameters. Oxidative burst MFI was higher in PMN incubated in glucose-supplemented culture medium versus no glucose. We demonstrated that technical factors interfere with the evaluation of PMN viability and functionality, which can potentially lead to bias in the findings of a research hypothesis. To conclude, the present study showed that the optimal timeframe for performing PMN function analyses is within 3 hours after blood sampling. Furthermore, the presence of 7.2 mM glucose in the culture medium, a common concentration in formulation of cell culture medium, increases the in vitro OB capacity, potentially masking any impairments in in vivo PMN dysfunctionality.

The co-benefits of active travel interventions beyond physical activity: a systematic review.

Active travel is a widely recognised strategy for promoting active living but its co-benefits beyond increasing physical activity, such as broader health, environmental, and social benefits, have rarely been synthesised. We conducted a systematic review to examine the co-benefits of active travel interventions. Following a preregistered protocol (PROSPERO CRD42022359059), we identified 80 studies for the search period from Jan 1, 2000, to Sept 13, 2022. Across studies, there was consistent evidence that active travel interventions offered co-benefits beyond physical activity. Particularly, 25 (71%) of 35 studies favoured improved safety outcomes, 20 (67%) of 30 showed improved health, 17 (85%) of 20 supported economic benefits, 16 (84%) of 19 highlighted improved transport quality, 12 (92%) of 13 showed environmental benefits, and four (80%) of five documented social benefits. Despite the overall low-certainty evidence, mostly limited by the quasi-experimental design and natural-experimental design of many of the studies, active travel interventions offer unique opportunities to engage stakeholders across sectors to jointly address major societal issues, such as physical inactivity, traffic safety, and carbon emissions. This evidence can inform the design, implementation, and evaluation of active travel interventions.

Capacity analysis of short-distance continuous diversion areas on mountainous urban expressways.

The short-distance continuous diversion area plays a crucial role within mountainous urban expressway systems, significantly enhancing the efficiency of specialized road sections through capacity analysis. This study develops a capacity calculation model tailored to the diversion area's unique characteristics and principal capacity-influencing factors. Initially, the research focuses on a specific short-distance continuous diversion area of a mountainous urban expressway, employing video trajectory tracking technology to gather trajectory data. This data serves as the basis for analyzing road and traffic characteristics. Subsequently, the model computes the capacity influenced by eight variables, including diversion point spacing and deceleration lane length, using VISSIM simulation experiments. A gray correlation analysis identifies key factors, which guide the establishment of the model's fundamental structure through two-factor surface fitting results. Mathematical statistical methods are then applied to resolve the model's parameters, culminating in a robust capacity calculation model. The findings reveal that diversion point spacing, along with primary and secondary diversion ratios, significantly influence capacity. Notably, the capacity exhibits a marked quadratic polynomial relationship with the primary diversion ratio and diversion point spacing, and a linear relationship with the secondary diversion ratio. The model's validity is confirmed through a case study at the diversion area north of Huacun Interchange in Chongqing Municipality, where the discrepancy between calculated and actual capacities is under 5%, underscoring the model's high accuracy. These results offer valuable theoretical and methodological support for the planning, design, and traffic management of diversion areas.

Building non-motorized accessible communities for heterogeneous demand: A facility location and network design problem.

Improving non-motorized accessibility is essential to enable access to vital services such as education and healthcare. Road networks are often inadequately designed for non-motorized accessibility, and service facilities are not always strategically located to reach the majority of users. Furthermore, design decisions are rarely made with consideration for the diverse needs and walking abilities of a heterogeneous population. Enhancing infrastructure by locating new service facilities and creating accessible paths involves significant investments, requiring a systematic approach to utilize limited resources efficiently. We propose an optimization model to identify optimal locations for new facilities and accessible road segments to maximize non-motorized accessibility to a range of services, taking into account users with different walking abilities. A randomized greedy algorithm is developed to tackle the complex network design and facility location problem. A case study in the Huai Kwang district of Bangkok is discussed to illustrate how this methodology can support strategic decisions to enhance non-motorized accessibility.

Does improvement of railway network promote urban economic growth? evidence from Northeast China.

The railway network connects different cities and regions and plays an important role in the transportation system. This paper theoretically analyzes the causal effect and mechanisms of the railway network on urban economic growth, and explores the direct effects, threshold effects, and spatial spillover effects of improved centrality in the railway network on urban economic growth in Northeast China. The results show that: (1) There is a similarity between the economic growth level and the trend of the railway network in Northeast China. From a spatial perspective, there are regional differences in the development of the railway network. (2) From the perspective of the direct effects, each unit improvement in railway network centrality leads to a 0.160 unit increase in urban economic growth in Northeast China. The degree of influence of other variables on urban economic growth, in descending order, is labor employment level, material capital investment, information development level, technological development level, human capital, and degree of openness. (3) From the perspective of the threshold effects of the railway network, the threshold values and the number of threshold levels are different for different regions. (4) There are significant spatial spillover effects in the railway network of Northeast China, and an increase in the centrality of a city's network can have negative spatial spillover effects on the economies of surrounding areas. Based on these results, we recommend that Northeast China should focus on the construction and improvement of the railway network, strengthen the connections between regions, and promote the overall economic growth of the region while improving its international competitiveness.