This study presents a multi-objective optimization model for the urban electric transit network design problem by simultaneously determining set of routes, service frequency and location charging depots with objectives minimizing costs passengers operators. The constraints about bus route, depot, vehicle operation schedule are considered to ensure rational operational feasibility network. solution approach is based on Pareto artificial fish swarm algorithm (PAFSA) in combination crossover...

This study presents a multi-objective optimization model for the urban electric transit network problem with aim of simultaneously designing layout bus routes, frequency and location size charging stations by making tradeoff between two inconsistent objectives from perspectives passengers operators. A Pareto artificial fish swarm algorithm (PAFSA) embedded genetic (GA) is developed to solve proposed model. The PAFSA designed iteratively search proper configuration satisfying conflicting...

A reasonable prediction of the possibility traffic congestion is able to help managers make efficient decisions reduce negative effect congestion. Previous research has made valuable analyses in this field. However, they rarely consider dependency and uncertainty jams. In consideration characteristics from different perspectives, proposes a Bayesian Network (BN) analysis approach predict urban The built-up area Beijing taken as study research. comprehensive set variables are utilized reflect...

Rational traffic flow forecasting is essential to the development of advanced intelligent transportation systems. Most existing research focuses on methodologies improve prediction accuracy. However, applications different forecast models have not been adequately studied yet. This compares performance three representative with real-life data in Beijing. They are autoregressive integrated moving average, neutral network, and nonparametric regression. The results suggest that regression...

This study solves the electric transit network design problem (ETNDP) by simultaneously optimizing layout of bus routes, service frequency, and location charging depots. To ensure rational operational feasibility an network, optimization model ETNDP with constraints route, depot, operation, is developed in consideration achieving overall operating cost effectiveness, while guaranteeing adequate buses to meet all passenger demands satisfy recharging without delays or congestion. An improved...

In order to determine the upper bound of Transport Energy Efficiency (TEE) and investigate temporal regional heterogeneities TEE, an improved stochastic frontier analysis model taking into account meta-frontier is established in this work. Focusing on thirty provinces mainland China from 2000 2018, research employs transport energy efficiency index, technical variation, total factor assess disparities among studied provinces. The results indicate that TEE remains relatively low 2010 due...

Antisense oligonucleotides (ASONs)-based therapeutics offers tremendous promise for the treatment of diverse diseases. However, there is still a need to develop ASONs with enhanced stability against enzymes, improved drug delivery, and biological potency. In this study, we propose novel anisamide (AA)-conjugated hairpin oligonucleotide prodrug loading chemotherapeutic agent (doxorubicin, DOX) (AA-loop-ASON/DOX) oncotherapy. Results indicated that introduction conformation AA ligand in...

Based on simulations of passenger transports two representative types metro trains in China, this study analyzes efficiencies energy consumption and transport a train the effect its target speed, formation scale (FS) (i.e., length mass formation), relative traction capacity (RTC) ratio motoring cars to all cars), so forth. It is found that increasing cost efficiency with decreasing speed evidently accelerated reducing RTC below 0.50 at expense obviously lowering efficiency. Moreover, if...

Taking a representative metro station in Beijing as example, this research has newly developed random coefficient model to predict the short-term passenger flows with sudden increases sometimes into an urban rail transit station. The hierarchical Bayesian approach is iteratively applied work estimate new and estimation outcomes each of iterative calibrations are improved by sequential updating. It been proved that procedure able effectively converge rational results satisfying accuracies. In...

Abstract This research examines the effects of urban rail transit (URT) on city growth measured by increases in population, gross domestic product (GDP) and employment rate. Forty cities which have URT systems end 2019 China are taken as investigated samples. Research data related to extent, GDP, rate five types control variables individual, people's living, economic, science education, infrastructure utilized their applicability is verified. Panel models applied analyze effect growth,...

An integrated optimization model is newly developed in this research to improve passenger transfer efficiency of an urban rail station by minimizing average waiting time transfers with rationalizing the arrival and departure trains view flows their feeder services.Corresponding algorithm also designed search for optimal solution objective function proposed model.A representative Beijing studied as example validate effect new model.Comparative simulations confirm that able effectively reduce...

It is expected that improvement of transport networks could give rise to the change spatial distributions population-related factors and car ownership, which are further influence travel demand. To properly reflect such an interdependence mechanism, aggregate multinomial logit (A-MNL) model was firstly applied represent these exogenous variables demand by reflecting networks. Next, autocorrelation analysis introduced into log-transformed A-MNL (called SPA-MNL model). Thereafter, integrated...

With the rapid development of economy and accelerated pace urbanization in China, trip share private cars has been increasing continually. This study investigates optimal mode-split for a developing megacity optimizes weighted generalized travel cost per capita one on an urban transport network. The main area Beijing is taken as this research revealed preference survey method utilized to get data. Based nest-logit model, optimization model developed minimal trip. phase estimation with...

This study aims to improve the applicability of transit-oriented development (TOD), which is widely recognized as a sustainable urban land use planning approach, this will focus on effect developed blocks undeveloped around same metro station. A new multiobjective programming model that optimizes ridership, compactness, transport accessibility, functional mixing degree, conflict and environment influence be integrate design with planning. In addition, an improved immune genetic algorithm...