Taking environmental engineering out of the laboratory

Environmental engineering is a core component of most construction and surveying undergraduate courses. It is generally accepted that students on these courses should have an understanding of thermal comfort, heat transfer, condensation, lighting, noise transmission and acoustics. Experiments are essential in developing students’ awareness and understanding of the underlying physical concepts which drive environmental engineering solutions. Traditionally these experiments have been conducted by students working in small groups in laboratories. However, increasing student numbers and, in particular, the growth in part time study, have placed significant additional demands on limited laboratory resources. The availability of reasonably priced, simple, hand-held equipment has made it possible for students to conduct experiments outside the confines of the laboratory. Furthermore, various professional software packages (some of which are freely available online) enable the resultant data to be further developed and analysed in conjunction with the conventional textbook approach. This paper examines these alternative approaches to the traditional laboratory experiment. An assessment is provided of the types of experiment which are both possible and appropriate, and the efficacy of these approaches is considered.

Accessibility instruments for planning practice: A review of European experiences

Although a large body of literature has been produced on the theoretical definitions and measurements of accessibility, the extent to which such indicators are used in planning practice is less clear. This research explores the gap between theory and application by seeking to understand what the new wave of accessibility instruments (AIs) prepared for spatial and transport planning practice purports to offer the users of AIs. Starting from the question of how urban and transport planners are designing AIs, the article analyzes and describes the AIs developed over the last decade (mainly in Europe), offering a structured overview and a clear categorization of how accessibility measures can be applied. The paper identifies AI characteristics, and considers their usability, based on AI developer perceptions.