Two-dimensional balanced sampling plans excluding contiguous units

A balanced sampling plan excluding contiguous units (or BSEC for short) was first introduced by Hedayat, Rao and Stufken in 1988. These designs can be used for survey sampling when the units are arranged in one-dimensional ordering and the contiguous units in this ordering provide similar information. In this paper, we generalize the concept of a BSEC to the two-dimensional situation and give constructions of two-dimensional BSECs with block size 3. The existence problem is completely solved in the case where lambda = 1.

Motherhood plans among young Australian women - Who Wants children these days?

Fertility rates in the developed world have been below replacement level for 25 years, and it is often assumed that this results from deliberate, unconstrained individual choice. Data from 7448 childless women aged 22 to 27, participating in the Australian Longitudinal Study on Women's Health, indicate that 9 per cent aspire to childlessness, with 72 per cent wanting I or 2 children and 19 per cent more. Differences in psychological functioning disappear after adjustment for socioeconomic variables. Women wanting 1 or 2 children also want paid work, while those wanting many children generally have traditional aspirations. Policy-makers need to consider strategies that support women to negotiate motherhood and paid work.

Sustainable tourism planning: A content analysis of local tourism plans

Tourism planning has been advocated by many as a possible means of alleviating some of the negative impacts of tourism. While a number of approaches have evolved, tourism planning based on the philosophies of sustainability has emerged as the most comprehensive approaches. To investigate the tourism planning approaches of local tourism destinations in Queensland, particularly the extent to which tourism plans exhibit the sustainable approach to tourism planning, 30 local tourism planning documents have been reviewed. Despite claims that sustainable tourism planning is one of the most accepted approaches the study has shown that this is not necessarily the case in practice. It was found that although a number of plans addressed the issue of sustainability, the subsequent strategies and actions suggest that the sustainable approach is not the dominant planning approach, but in fact the economic and infrastructure approaches are the primary planning methods.

A hybrid probabilistic criterion for market-based transmission expansion planning

Market-based transmission expansion planning gives information to investors on where is the most cost efficient place to invest and brings benefits to those who invest in this grid. However, both market issue and power system adequacy problems are system planers’ concern. In this paper, a hybrid probabilistic criterion of Expected Economical Loss (EEL) is proposed as an index to evaluate the systems’ overall expected economical losses during system operation in a competitive market. It stands on both investors’ and planner’s point of view and will further improves the traditional reliability cost. By applying EEL, it is possible for system planners to obtain a clear idea regarding the transmission network’s bottleneck and the amount of losses arises from this weak point. Sequentially, it enables planners to assess the worth of providing reliable services. Also, the EEL will contain valuable information for moneymen to undertake their investment. This index could truly reflect the random behaviors of power systems and uncertainties from electricity market. The performance of the EEL index is enhanced by applying Normalized Coefficient of Probability (NCP), so it can be utilized in large real power systems. A numerical example is carried out on IEEE Reliability Test System (RTS), which will show how the EEL can predict the current system bottleneck under future operational conditions and how to use EEL as one of planning objectives to determine future optimal plans. A well-known simulation method, Monte Carlo simulation, is employed to achieve the probabilistic characteristic of electricity market and Genetic Algorithms (GAs) is used as a multi-objective optimization tool.

A hybrid planning method for transmission networks in a deregulated environment

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system and relevant analyses and discussions have been presented.