There is an on-going interest in measuring land use accessibility in urban areas. The
transport geography and land use planning literature often tend to focus on job accessibility …

Data heterogeneity is one of the most challenging problems in urban data analytics. When
obtained from various providers or custodians, datasets for the same domain themes may …

The level of commuting in cities is an important indicator of the efficiency of urban spatial
structure. Recent research has come out in support of land use policies that promote …

The complexity, variety and volume of urban datasets have soared in the past decade. By
utilising these datasets, urban planners and researchers have built a wide range of …

This chapter describes an innovative Spatial Data Infrastructure to support urban analytics
and urban research capabilities focused on Australian cities, called Urban Analytics Data …

While the debate around monocentric versus polycentric urban structures persists, a
growing number of traditionally monocentric cities are pursuing a transformation agenda …

The spatial structure of urban areas is a critical factor in their efficiency, spatial equity and
consequently, sustainability. Monocentric urban structures are often characterised by longer …

1. Background Calculating accessibility is a common task undertaken during transport
planning and analysis, which enables the analyst to determine areas of relative advantage …

School catchment has significant impacts on many urban planning and socio-economic
aspects such as social infrastructure accessibility, livability, community health and wellbeing …