施工企业人力资源管理现状探讨

人力资源是企业最宝贵的资源,也是企业的一种战略能动资源,这一点对于施工企业同样适用。在激烈的市场竞争环境下,人才是企业竞争的核心竞争力。对于施工企业特殊的工作环境、工作强度以及员工构成的特殊性,人力资源在确保实施建筑企业的经营战略中起扮演着关键的角色。     

农村新业态发展现状、问题与对策研究

近年来,农村新业态快速发展,成为农村经济发展的新动能。文章在介绍农村新业态发展现状的基础上,剖析了当前存在的顶层设计不清晰、要素制约突出、水平有待提升以及规范化不足等系列问题;结合乡村振兴战略全面实施带来的新机遇,提出要强化顶层设计、优化发展环境、加快转型提质、加大监管力度等政策建议,加快促进农村新业态健康有序发展。     

高速铁路动车组检修资源布局优化研究

高速铁路网的日趋完善,高速列车开行数量的进一步增加,对高速铁路动车组检修资源布局提出新的要求。为合理优化动车组检修资源布局,提高动车组检修效率,在分析我国动车段和动车运用所管理模式及布局方案的基础上,将动车组检修资源布局优化问题转化为基于多基地车辆路径运用的基地选址问题,基于"备选运用所-运输需求-动车组运用"间的关联关系构建动车组运用检修接续网络,建立动车组检修资源布局优化模型。以某区域的铁路网为例,利用近远期规划优化动车组检修资源布局,验证模型有效性,为今后动车组检修资源布局优化提供参考。     

Efficient estimation of forecast uncertainty based on recent forecast errors

Multi-step-ahead forecasts of the forecast uncertainty of an individual forecaster are often based on the horizon-specific sample means of his recent squared forecast errors, where the number of past forecast errors available decreases one-to-one with the forecast horizon. In this paper, the efficiency gains from the joint estimation of forecast uncertainty for all horizons in such samples are investigated. If the forecast uncertainty is estimated by seemingly unrelated regressions, it turns out that the covariance matrix of the squared forecast errors does not have to be estimated, but simply needs to have a certain structure, which is a very useful property in small samples. Considering optimal and non-optimal forecasts, it is found that the efficiency gains can be substantial for longer horizons in small samples. The superior performance of the seemingly-unrelated-regressions approach is confirmed in several empirical applications.     

School travel mode choice in Beijing,China

This study explores school travel mode choice behavior of 7–18 year-old students in Beijing, China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The integration of tree-based and logit-based models is employed to examine the influence of key variables on school travel mode choice. In particular, the tree-based model is used to preliminarily select the traits which have a statistical effect on mode choice, and the logit-based model is used to provide deeper understanding of the underlying decision processes and the correlation effects of the variables. Results show that car ownership, poor walking/cycling environment, and adults' convenience for escorting students significantly stimulate the use of cars in school commuting. Students are more inclined to choose cars when their departure time is at rush hour compared to the other time. Moreover, the longer distance encourages the use of motorized transport, where the households with local hukou (usually related to the car ownership and other welfares) are more willing to drive their children to school. A number of recommendations on car restraint, sustainable travel environment improvement, different working hour implementing, and educational resources layout for the encouragement and promotion of sustainable travel practices are lastly proposed.     

From conformity to reactance: Contingent role of network centrality in consumer-to-consumer influence

Central consumers in a group often are influential, because their social prominence commands conformity from other members. Yet, there can be another contradictory effect of centrality, such that other members regard it as a threat to their attitudinal freedom and express reactance instead of conformity. Whether a group member conforms or reacts to the evaluation of a more central member might depend on the strength of their relationship, which determines the social cost of disagreeing. We provide evidence of such an interaction between centrality and relational strength with an experiment where participants with preexisting affective ties of varying strengths taste a snack in groups (Study 1) and a field study where participants connected by instrumental ties consume a complex service (Study 2). A scenario-based experiment manipulating centrality and strength of ties provides further evidence that reactance underlies the observed effects (Study 3).     

Charging station location problem of plug-in electric vehicles

A novel model for the charging station location problem of plug-in electric vehicles is proposed in this paper. With the objective of minimizing the total cost, the proposed model simultaneously handles the problem of where to locate the charging stations and how many chargers should be established in each charging station. Furthermore, the model is expanded to consider a more general case. A genetic algorithm-based method is proposed for solving the expanded model. The results show that a better location scheme can be obtained using the expanded model.     

Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach

As activity based approach is receiving increased attention over the past decades, a variety of studies have explored the impacts of land use patterns not only on travel behavior but also on activity participation. Using data from the Tengzhou Household Travel Survey, this paper tests the relationships among land use patterns, activity participation and travel behavior, by comparing results from two structural equation models: one model without activity participation and a second model which adds activity participation as a mediating variable between land use patterns and travel behavior characteristics. The results suggest that the indirect effects through activity participation decision play important roles, which may reinforce the direct effects of land use patterns on travel behavior. Moreover, ignoring activity participation as a mediating variable may also lead to insignificant effects of land use patterns. We conclude that the intermediary nature of activity participation should be taken into consideration.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.