Abstract Artificial intelligence (AI) has increasingly been integrated into various domains, significantly impacting geospatial applications. Machine learning (ML) and computer vision (CV) are critical in urban decision-making. However, AI implementation faces unique challenges. Academic literature on responsible largely focuses general principles, with limited emphasis the domain. This important gap scholarly work could hinder effective integration Our study employs a multi-method approach,...

Does planning for higher density increase housing development and decrease prices? We study nineteen repeatedly upzoned densification areas in Brisbane, Australia. create a site-level dataset on dwelling stock, regulations, prices, comprising all 25,775 sites these areas. Only 2% of the zoned capacity was used any five-year period. Zoned doubled over twenty-year period, but 78% with first period remained undeveloped. Higher rates new supply are robustly related to prices. has no relationship...

The emergence of the smart campus approach for university campuses addresses digital transformation needs higher education institutions, driven by increasing capability and popularity technologies like artificial intelligence internet things. While existing research has laid a foundation conceptualizing developing implementation frameworks, significant gap remains in understanding how to assess campus’s ‘smartness’ effectively. lack robust assessment framework makes it challenging gauge...

Urban densification, intended to enhance efficiency, often exacerbates urban climate issues like diminished thermal and wind comfort. Despite substantial evidence on the climatic impacts of urbanization, integrating this knowledge into development practices remains difficult. This study investigates design in Brisbane, Australia through semi-structured interviews with built environment professionals. A qualitative thematic analysis uncovers several challenges: ambiguous planning codes, a gap...

Increasing the uptake of active, carbon neutral forms transport is indicated for both population health and environmental conservation. Efforts to increase cycling are hindered by negative attitudes towards cyclists. Recent research from Australia has found that many people consider cyclists be less than fully human. There currently a lack empirical evidence explains these dehumanising perceptions. Most who ride bicycles in wear safety helmets as required mandatory helmet laws. We...

State and local governments around Australia the world now routinely promote idea that dense, interconnected nodes of transit-rich, mixed-use places are indispensable for sustainable re...

Performance-based planning (PBP) is an approach to regulatory that aims achieve strategic objectives without mandating how those are achieved. After more than twenty years of use in Australia, there has been little consideration planners’ views PBP. We survey planners about PBP and find while in-principal support, considerable challenges involved successful implementation. Our findings highlight the conflicted politicized landscape which operate indicate specific mechanisms used deliver...

Evaluations of plan implementation are typically conceived in terms conformance (the degree to which outcomes align with planning intent) or performance decision makers apply the plan). In this research, we consider relationship between performance–conformance by evaluating compact activity centre policy greater Brisbane. We examine two decades changes local land use regulations using content analysis, quantifications permitted development intensity, and comparisons actual planned intent,...

Australian planning authorities have struggled to develop more compact cities for decades, yet empirical explanations this policy challenge are lacking. This is critical inform future sustainable efforts. In response, we correlate 20 years of change in greater Brisbane's activity centres against factors related land use regulations, transport accessibility, property characteristics, and socio-economic status. We find centre implementation most strongly associated with property-based that...

Computer vision (CV) technology, a key subset of artificial intelligence, provides powerful tools for extracting valuable insights from visual data, which is crucial component the urban planning process. Despite promising potential CV in planning, its applications this context have not been thoroughly examined. This lack scholarship represents critical knowledge gap our understanding role planning. paper aims to provide consolidated process and challenges planners face during adoption CV....

Does planning for higher density increase housing development and decrease prices? We study the outcomes of in established suburbs over a twenty-year period using large site-level dataset on dwelling stock, regulations, prices, 19 planned densification areas (activity centres) comprising 25,775 sites Brisbane, Australia. Planning rules these were repeatedly relaxed to allow density; policy change that should have observable price effects. To effect zoning, we create variable each site called...

For two decades, increasing concerns about urban sustainability have driven Australian metropolitan planning efforts to call for fundamental changes existing forms. These are intended develop more compact cities characterised by a poly-nodal network of dense activity centres. In this paper we provide the first long-term, comprehensive evaluation implementation policy in greater Brisbane. We combine census, employment, Google Street View, and aerial imagery data evaluate conformance...

The concept of a smart campus is rapidly gaining traction worldwide, driven by the growth artificial intelligence (AI) and Internet Things (IoT) along with digital transformation higher education institutions. While numerous initiatives have been undertaken to enhance capability systems keep pace AI advancements, there few attempts develop cohesive conceptual framework for and, date, has limited empirical research conducted validate framework. This study bridges this gap providing first...

The concept of a smart campus is rapidly gaining traction worldwide, driven by the growth artificial intelligence (AI) and Internet Things (IoT), along with digital transformation higher education institutions. While numerous initiatives have been undertaken to enhance capability systems keep pace AI advancements, there few attempts develop cohesive conceptual framework for campus, date, has limited empirical research conducted validate framework. This study bridges this gap providing first...