With rapid advancements in unmanned aerial vehicle (UAV) technology, its integration into logistics operations has emerged as a promising solution for improving efficiency and sustainability. Among the emerging solutions, collaborative delivery model involving drones trucks addresses last-mile challenges by leveraging complementary strengths of both modes transport. However, evaluating environmental economic impacts this transportation mode requires systematic framework to capture unique...

This paper establishes a measurement framework for the resilience of large airports, beginning with transportation characteristics and determining how vulnerability emergency capability affect resilience. is then applied to quantitatively measure Beijing Capital International Airport (PEK); set pair analysis used identify main factors involved determine influencing mechanisms. characterization enables determination PEK's vulnerability, response have changed over time. The results show that...

An optimization model of airport shuttle bus routes is constructed by taking operational reliability maximization as a main goal in this paper. Also, hybrid genetic algorithm designed to solve problem. Then the theoretical method applied case Nanjing Lukou International Airport. During research, travel time estimation proposed based on back propagation (BP) neural network. Absolute error and regression fitting methods are used test measurement results. It proved that has higher accuracy...

In much of studies on spatial mismatch between residential and employer locations, job accessibility has been measured. However, the apparent disadvantages traditional measurement methods Chinese cities have noted. This paper proposed an optimized method for by introducing weigh coefficient opportunity, which quantifies degree uneven distribution opportunity in cities. Take Nanjing city example, this new was used to measure investigate patterns analyze influences commuting behavior. The...

Transportation is the main carrier of population movement, so it significant to clarify how different transportation modes influence epidemic transmission. This paper verified relationship between levels facilities and transmission by use K-means clustering method Mann-Whitney U test. Next, quantile regression negative binomial were adopted evaluate patterns. Finally, this proposed a control efficiency indicator assess differentiated strategies. The results indicated that appeared 2-3 days...

This paper establishes a bilevel planning model with one master and multiple slaves to solve traffic evacuation problems. The minimum network saturation shortest time are used as the objective functions for upper‐ lower‐level models, respectively. optimizing conditions of this also analyzed. An improved particle swarm optimization (PSO) method is proposed by introducing an electromagnetism‐like mechanism enhance its convergence efficiency. A case study carried out using Nanjing Olympic...

To scientifically and accurately evaluate the status of development green airports in China, evaluation methods green, ecological are established this paper. address shortcomings subjective objective weighting methods, we propose a combination method based on Spearman’s rank correlation coefficient grades interval approximation. At same time, by taking into account resource conservation, environmental friendliness, operation efficiency, people-oriented service, an index system number for...

In China, bicycles are a popular mode of transportation for senior citizens. A disproportionate number traffic-related fatalities and injuries involve cyclists. The violation cycling laws is significant cause cyclist crashes. Few studies have analyzed the behaviour seniors. Therefore, it essential to examine factors that influence older individuals' intention engage in behaviours. this study, effects social-demographic characteristics, exogenous constructs health belief model (HBM), theory...

<title>Abstract</title> Horizontal collaboration between operators can save traffic operation costs, a concept that has been particularly validated in the logistics field. Due to increasing transportation demand and introduction of charging times for electric vehicles, there is growing pressure on airport ground support services. This study introduces coalition Unlike most studies horizontal collaboration, scheduling services needs consider punctuality issues. In this study, we separately...

Airports worldwide are actively promoting the transition of ground service vehicles from traditional fuel-powered to electric vehicles. The key successful implementation this lies in development efficient vehicle dispatching models that comprehensively consider charge-discharge processes However, due nonlinear characteristics processes, finding precise solutions poses a significant challenge. Previous researchers have often used energy consumption and constant charging rates simplify...

Horizontal collaboration between operators can save traffic operation costs, a concept that has been particularly validated in the logistics field. Due to increasing transportation demand and introduction of charging times for electric vehicles, there is growing pressure on airport ground support services. This study introduces coalition Unlike most studies horizontal collaboration, scheduling services needs consider punctuality issues. In this study, we separately establish vehicle models...

Summary In this article, a reliability‐based method for optimizing the road network is presented. A bi‐level optimization model network, of which lower optimal user equilibrium impedance function and upper maximum reliability constructed solved by using genetic algorithm. Moreover, measuring travel time airport collection distribution built based on improved Bureau Public Roads (BPR) function, quantified. Results our case study show that mean all roads in Nanjing Lukou Airport 0.74, showing...

Numerous strategies have been proposed to modify and transform passengers’ travel mode departure time with the purpose of mitigating landside traffic pressure airports. A core solution tackle this problem is build a behavior model so that pertinent predictions about extent which passengers shift their patterns can hopefully be obtained. This paper aims at studying behaviors respect based on agent theory. What distinguishes from traditional utility maximization theory it specifically places...

The global aviation industry has been experiencing catastrophic disruption since the beginning of 2020 due to unprecedented impact COVID-19 pandemic on air traffic. Although decline in regular commercial travel caused tremendous economic loss stakeholders, it also led reduction amount recorded pollutants. Most aircraft emissions are released during cruise phase flight, however they have relatively small humans fact that those directly into upper troposphere and lower stratosphere. Therefore,...

This study’s goal is to reduce the number of flights and alleviate congestion in hub airports. It proposes a flight time frequency‐optimization method for multiairport systems. A model system operation created minimize loss passenger trip time. k-means clustering algorithm designed solve calculate indexes such as frequency, trip‐time loss, distribution airplane models quantity. The calculation results an example China are follows. Under mode, demands divided into 7 categories; 11 satisfy all...