Purpose: To study how urban resident acts in making traveling decisions. Design/methodology/approach: Simple Genetic Algorithm (SGA) Findings: Using SGA to make the model of urban resident's decisions is rational. Research limitations/implications: This study is just about single one and the SGA...

Purpose: Environmental performance and propensity disclosure is important for stakeholders to estimate firms' incentives in environmental management practices. The purpose of this article is to explore the impacts of environmental performance and propensity disclosure on financial performance...

This paper examines the extent to which agglomeration of the hospital service industry enhances the productivity of producing health care. Specifically, we use a large set of private insurance claims from the FAIR Health database to show that an increasing spatial concentration of hospital...

Purpose: With the development of the transportation, more traveling factors acting on the railway passengers change greatly with the passengers' choice. With the help of the modern information computing technology, the factors were integrated to realize quantitative analyze according to the...

Purpose: The purpose of this paper is to extend the analysis of the distribution-free newsvendor problem under the circumstance of customer balking, which usually occurs when customers are reluctant to buy products if the available inventory falls below a threshold level....

The Lower Paleozoic reservoir in the Micangshan tectonic zone is a new shale gas exploration area with excellent potential. However, the hydrocarbon migration and accumulation histories of this reservoir have not been thoroughly elucidated and urgently require further research. Fluid inclusions...

This paper presents an optimal technique for parameter estimation of a Solid Oxide Fuel Cell (SOFC) model. The idea is to minimize the Sum of Squared Error (SSE) between the output voltage and the experimental data. To achieve this purpose, a new metaheuristic, called the Converged Grass Fibrous...

Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, industrial and regulatory perspectives. The problem of minimizing CVaR is theoretically known to be of a Neyman-Pearson type binary solution. We add a constraint on expected return to investigate...