A mixed behaviour equilibrium model with mode choice and its application to the endogenous demand of automated vehicles

This study develops a mixed behavioural equilibrium model with explicit consideration of mode choice (MBE-MC) in a transportation system where fully automated vehicles (AV) coexist with conventional human-driven vehicles (HV). For the mode choice, travellers select among three options, following a logit modal split: driving their private HV, or taking an AV mobility service provided by either a firm or the government. For the route choice, the HV drivers follow the random utility maximisation principle while central agents route the AV passengers following the Cournot Nash (firm agent) or Social Optimal (government agent) principles. We consider two types of travel costs (i.e. travel time and monetary travel cost) to characterise the new features (e.g. expanded link capacity and reduced value of time) of the mixed AV–HV transportation system. We model the MBE-MC problem in a combined mode–route choice framework and formulate it as a route-based variational inequality (VI) problem. We show the equivalence between the VI formulation and the MBE-MC problem, and the existence of a solution to the MBE-MC problem. Then, we modify a partial linearisation algorithm for solving the proposed model. Numerical results validate the equilibrium conditions and show the efficacy of the new model in capturing the features of the mixed AV–HV transportation system. The impact patterns of different parameters on (1) the network performance in terms of AV share and system cost and (2) on the solution efficiency are analysed.     

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Developments in battery electric vehicles (BEVs) have received more and more attentions in the last decades due to alleviating carbon emissions and energy crisis. Consequently, how to rank alternative BEVs to assist consumers make better purchasing decisions is a worthy research study. However, there are still some defects in the existing studies for ranking of BEVs: 1) the evaluation index system of BEVs is not comprehensive; 2) the determination of criteria weights cannot be well applied to the actual purchase scenarios; and 3) the psychological behavior of consumers is ignored. To address those shortcomings, this paper proposes a decision support model to assist with consumers to buy BEVs. First, a systematic evaluation criteria system of BEVs including quantitative and qualitative indicators from parameter configurations and online reviews is constructed. Then, a weight algorithm considering consumer learning is proposed to determine the criteria weights. Furthermore, a decision support process considering consumers' regret avoidance behavior is proposed. Finally, an actual BEV purchase case is given to illustrate the practicability of the decision support model. This can be seen in case studies the proposed support model can be well applied to consumers with different regret avoidance behaviours.     

Optimal two-stage lot sizing and inventory batching policies

This paper extends previous studies of two-stage lot sizing problems with finite production rates. We develop various lot sizing and inventory batching (i.e., operation–unit batching (OUB) and unit–unit batching (UUB)) models under different system characteristics and lot sizing and inventory policies. The analysis of the optimality of the lot size ratio between the two stages reveals (1) that both non-increasing and non-decreasing lot sizing policies can be optimal in both OUB and UUB, (2) that a non-integer lot size ratio can be optimal in OUB, and (3) that an integer lot size ratio is always optimal in UUB. We present a simple, easy-to-implement, optimal solution approach to the two-stage lot sizing and inventory batching problem, along with examples.     

Outstanding Female Economists in the Analysis and Practice of Development Economics

This article examines the contributions of five eminent economists, all women, to the analysis and practice of development economics. Irma Adelman, Frances Stewart, and Nancy Birdsall are leading advocates of alternative development strategies that focus on poverty alleviation and investment in human capital. Anne Krueger and Alice Amsden stand at the forefront of two opposing camps in a lively and long-lasting debate on the appropriate role of government in trade and industrialization. We use the storied careers of these economists as a vehicle to convey the big picture of how development economics has evolved and which topics have proved durable.     

Learning from others,reacting, and market quality

Traders pay attention to one another but are unable to perfectly deduce each others’ beliefs from transactions alone. This explains why markets are hard to beat and also why trading occurs at all. Even when traders react rationally to the actions of others, they cannot arrive easily at a common posterior assessment of value. We model a realistic market composed of traders who combine their own private information with rational learning about the information possessed by others. We compare phenomena in this market with an otherwise identical market populated by traders who receive the same private information but ignore other traders. Using simulation to engender greater realism, we find that learning usually reduces volatility, increases the accuracy of the market price as a forecast of value, reduces trading volume, and decreases the prevalence of bubbles. However, for some combinations of market conditions, learning can have the opposite effect. The marginal influences of eight different market conditions, ranging from information heterogeneity through resource diversity, are estimated. Prices, volatility, volume, and bubbles exhibit subtle and complex responses to market conditions.     

Quality improvement and top management in nursing homes

This study examines how the demographic characteristics of the top management team in 236 nursing homes can affect the adoption of QI techniques. Tenure, education, and involvement in a professional society are the demographic characteristics investigated. Controlling for 13 organizational and environmental factors, the results show both aggregate levels and dissimilarity in educational experience and professional involvement of the top management team have a significant effect on the likelihood of a home adopting QI. We discuss these results in terms of their significance for nursing homes and top management.     

基于安全人机工程学的棉纺织企业事故隐患剖析及对策

本文运用安全人机工程学理论,从人、机、环境系统的角度,阐述了棉纺织企业存在的事故隐患共性,提出了预防事故的对策及措施,以期指导棉纺织企业安全生产管理实践,从而提高企业安全管理水平。     

Entrepreneurial growth through constellations

The “constellation” is a particular type of network, characterized by the presence of a “leading firm” able to coordinate a series of entrepreneurs who work together with the leading firm to produce and sell.Constellation-style growth is characterized by a leading firm establishing a closely linked network of external firms, all with a high degree of dependence on the leading firm. Typically, the leading firm will maintain control of certain key matters to coordinate the group, such as control of product development, image, and marketing strategy. However, it will devolve to the external firms' functions such as line production and wholesale and retail distribution.Constellations are distinguished from other firms that rely on outside production by their willingness to grow through a specific style of external growth through these external units, moving into a range of different products, and to closer links with the market.The constellation will also tend to have relatively informal (non-legal) ties between members. The non-legal character of this tie increases the flexibility of the constellation to be coordinated efficiently and effectively by the leading firm.Constellations are also characterized by a high input of technological and product innovation, as stimulated in a relatively shallow pyramid of power within the structure. This structure allows therefore the constellation to be particularly competitive in market niches where a high component of innovation in the product is essential. It also contributes to product quality and production flexibility.Constellation-style growth therefore not only allows the firm to grow with a reduction of investment risk, but adds to competitive advantage by fostering personal entrepreneuring through the use of coordinated partnerships of external firms with a leading firm.The model is particularly diffused in Italy, where entrepreneurial firms organized in this manner have been able to assume world leadership in the high-quality niches of mature market segments such as furniture and textiles. However, the organizational pattern should be seen as internationally relevant as a model for growth.This article examines the model in an effort to explain its relevance to entrepreneurial growth, and uses several case studies from modern Italian business to explain how the constellation behaves in practice.