Impacts of flooding on SMEs and their relevance to chartered surveyors:

This is the final report of the RICS Education Trust funded “Developing Flood Expert Knowledge in Chartered Surveyors – DEFENCES” research project. The UK has endured a number of major flood events in recent years, and the UK Environment Agency (2009a) identified that about 5.2million properties in England, amounting to one in six, are at risk of flooding. The impacts of flooding include direct and indirect impacts and can be particularly devastating for small and medium-sized enterprises (SMEs) who are generally more vulnerable to such events than larger business organisations. Recent flood events have established how costly flooding can be to the SME sector (Pitt, 2008, ABI, 2010), which has given greater impetus to the need to improve the resilience of at-risk SMEs. A lack of professional advice on flood protection and adaptation measures represents a potential barrier to the uptake of such interventions by SMEs. A recent Royal Institution of Chartered Surveyors (RICS) survey, as quoted in Defra (2008) notes that, although a majority of chartered surveyors would like to work in this area of practice (flood risk assessment and adaptation), they are conscious of gaps in their competency, knowledge and understanding. The research project sought to contextualise this broader issue and investigate how chartered surveyors can bridge the gap in providing professional flood advice to SMEs. Further, a shift in the UK government policy on flood risk management is evident, where at-risk communities are urged to adapt to flooding. This places greater emphasis on property-level flood adaptation, providing further impetus for Chartered Surveyors to be involved. Findings of the research will be of interest to the RICS, the RICS Flood steering Group, practicing surveyors generally, SMEs, business support and policy making organisations.

Cost models for engineering services

This thesis describes the procedure and results from four years research undertaken through the IHD (Interdisciplinary Higher Degrees) Scheme at Aston University in Birmingham, sponsored by the SERC (Science and Engineering Research Council) and Monk Dunstone Associates, Chartered Quantity Surveyors. A stochastic networking technique VERT (Venture Evaluation and Review Technique) was used to model the pre-tender costs of public health, heating ventilating, air-conditioning, fire protection, lifts and electrical installations within office developments. The model enabled the quantity surveyor to analyse, manipulate and explore complex scenarios which previously had defied ready mathematical analysis. The process involved the examination of historical material costs, labour factors and design performance data. Components and installation types were defined and formatted. Data was updated and adjusted using mechanical and electrical pre-tender cost indices and location, selection of contractor, contract sum, height and site condition factors. Ranges of cost, time and performance data were represented by probability density functions and defined by constant, uniform, normal and beta distributions. These variables and a network of the interrelationships between services components provided the framework for analysis. The VERT program, in this particular study, relied upon Monte Carlo simulation to model the uncertainties associated with pre-tender estimates of all possible installations. The computer generated output in the form of relative and cumulative frequency distributions of current element and total services costs, critical path analyses and details of statistical parameters. From this data alternative design solutions were compared, the degree of risk associated with estimates was determined, heuristics were tested and redeveloped, and cost significant items were isolated for closer examination. The resultant models successfully combined cost, time and performance factors and provided the quantity surveyor with an appreciation of the cost ranges associated with the various engineering services design options.

Reliability of vegetation community information derived using decorana ordination and fuzzy c-means clustering

Descriptions of vegetation communities are often based on vague semantic terms describing species presence and dominance. For this reason, some researchers advocate the use of fuzzy sets in the statistical classification of plant species data into communities. In this study, spatially referenced vegetation abundance values collected from Greek phrygana were analysed by ordination (DECORANA), and classified on the resulting axes using fuzzy c-means to yield a point data-set representing local memberships in characteristic plant communities. The fuzzy clusters matched vegetation communities noted in the field, which tended to grade into one another, rather than occupying discrete patches. The fuzzy set representation of the community exploited the strengths of detrended correspondence analysis while retaining richer information than a TWINSPAN classification of the same data. Thus, in the absence of phytosociological benchmarks, meaningful and manageable habitat information could be derived from complex, multivariate species data. We also analysed the influence of the reliability of different surveyors' field observations by multiple sampling at a selected sample location. We show that the impact of surveyor error was more severe in the Boolean than the fuzzy classification. © 2007 Springer.

Part II of the Landlord and Tenant Act 1954:repeal or further reform? Part 1

Paper includes results of an empirical survey of legal professionals who specialise in property law and surveyors, both of whom are involved with commercial lease renewal work. The survey investigates whether there is any appetite amongst these professionals for abolishing the Landlord and Tenant Act 1954 Part II or alternatively for reform of the same. The results are analysed and recommendations made by the authors.