Understanding the impact of urban heat islands on crime: Insights from temperature, population density, and green canopy cover

Emergent literature suggests that micro- and macro-climates influence criminal behaviour; a complex phenomenon that is still incipient in theory development. This mixed-method research starts with a systematic review of the literature on the theoretical premises that urban heat islands amplify aggressive behaviour and crime. Further, it discusses the potential implications of the relationship between the environment and social outcomes on the design and planning of urban environments. A meta-synthesis was conducted to explain the correlations between patterns of criminal behaviour and thermal (dis)comfort. This correlation is to relate fundamental urban design principles to socially sustainable communities that dissuade violence and crime, and otherwise show poorly designed spaces do propagate criminal behaviour. Cross-validation was undertaken using a case study of Midland, a suburb of Perth, Western Australia. Data involves population demographics, temperature, and crime statistics relating to Offences against the Person. Analysis focused on homicide, assault, threatening behaviour, and robbery. The findings imply a positive correlation between long-term temperature, crime, population density, and green canopy cover. Variables of climate (e.g., short-to-long-term climate-related stressors) and crime types also show non-linear association. Nonetheless, forecasting the future of violence and trends of crime through attributes or potential impacts of heat and urban canopy cover on the built environment will inform sustainable social development policy, environmental planning, development strategy, designers, and planners. Recommendations are made around these in relation to making urban communities adaptive to the impacts of global warming and future densification

Mitigating intensive care unit noise: Design-led modeling solutions, calculated acoustic outcomes, and cost implications

Objectives, Purpose, or Aim: The study aimed to decrease noise levels in the ICU, anticipated to have adverse effects on both patients and staff, by implementing enhancements in acoustic design. Background: Recognizing ICU noise as a significant disruptor of sleep and a potential hindrance to patient recovery, this study was conducted at a 40-bed ICU in Fiona Stanley Hospital in Perth, Australia. Methods: A comprehensive mixed-methods approach was employed, encompassing surveys, site analysis, and acoustic measurements. Survey data highlighted the importance of patient sleep quality, emphasizing the negative impact of noise on work performance, patient connection, and job satisfaction. Room acoustics analysis revealed noise levels ranging from 60 to 90 dB(A) in the presence of patients, surpassing sleep disruption criteria. Results: Utilizing an iterative 3D design modeling process, the study simulated significant acoustic treatment upgrades. The design integrated effective acoustic treatments within patient rooms, aiming to reduce noise levels and minimize transmission to adjacent areas. Rigorous evaluation using industry-standard acoustic software highlights the design’s efficacy in reducing noise transmission in particular. Additionally, cost implications were examined, comparing standard ICU construction with acoustically treated options for new construction and refurbishment projects. Conclusions: This study provides valuable insights into design-based solutions for addressing noise-related challenges in the ICU. While the focus is on improving the acoustic environment by reducing noise levels and minimizing transmission to adjacent areas. It is important to clarify that direct measurements of patient outcomes were not conducted. The potential impact of these solutions on health outcomes, particularly sleep quality, remains a crucial aspect for consideration

Understanding employee travel behaviours in response to workplace relocation: a case study comparing commuting patterns between Subiaco and Perth, Western Australia

Our built environments offer distinct variables that impact behaviour – throughout the world, and equally within Western Australia. However, an in-depth analysis of extant literature indicates that influencing human behaviour is difficult in the absence of a ‘disruption’ event. Accordingly, this organization-level study examined the disruptive effects of relocating from a Subiaco office to a new office in Perth’s Central Business District on the commute habits of its built-environment professional employees. The relocation occurred during a ‘non-lockdown’ period between July and August 2021 (southern hemisphere winter). The study sought to determine if an office relocation constituted a sufficient ‘disruption’ to affect employees’ commute behaviours, and in contrast to state and national figures, to quantify how micro-communities revise and develop commuting habits in response to changing circumstances. It was expected that the shift would increase public transportation reliance, lengthen commute times, and increase expenditure. The study applied a two-part purposive survey using frequencies and a one-sample Chi-Square test at the 95% confidence level. The distance between the two locations and projected trip times through various modes was calculated using Google Maps. The findings indicate that both Subiaco and Perth had higher public transportation utilisation when compared to state and national numbers as a multi-modal means of commuting. Furthermore, car reliance decreased and general satisfaction with commuting choices increased for the Perth study. This suggests that multi-modal public transportation commute alternatives provided a cost-effective and efficient, alternative. The study identified social value and preference propositions beyond return-on-investment for improving existing idle city assets. Lastly, the study contributes to evolving contemporary cross-disciplinary discourse and body of knowledge in human geography, urban community development, and transportation, and sought to concomitantly determine the potential to further extend this research through concurrent collection of employee daily step count data