2 research outputs found
A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney
Transport-related social exclusion is a complex issue. It can be studied from a variety of angles, be influenced by a number of factors, and affect diverse population groups. This study investigates transport-related social exclusion from a multi-dimensional view. Transport inequity was measured based on different development stages of a region using the Lorenz Curve and Gini index, and compared socio-economic characteristics, such as housing affordability, employment self-sufficiency, urban sprawl, and transport-mode share at different degrees of spatial aggregation. Two hierarchical spatial aggregation levels are used: (1) Sydney – Perth; (2) Inner – Middle – Outer sectors. Spatial gaps of transport-related social exclusion are identified for both cities and a number of policy implications are considered to provide suggestions to improve transport-related social inclusion in both cities
Integrated approach to assess vulnerability of the Coastal Region of Bangladesh due to climate change
Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.The coastal zone of Bangladesh is characterized by an evolving flat delta subject to very high tides and frequent cyclones coming from the Bay of Belgal. People in coastal region in Bangladesh are under threat to climate change and are becoming vulnerable, leading to relatively higher poverty than the other parts of the country. Potential impacts oh seal-level rise in coastal zone include shoreline erosion, saltwater intrusion, inundation of wetlands and estuaries threats to cultural and historic resources along with infrastructures. The primary objective of this research is to simulate and calculate a Population Vulnerability Index (PVI) Model of the coastal zone of Bangladesh to assess the coastal exposure and vulnerability due to natural calamities. Another objective is to valuate model sensibility to different scenarios of inundation and change and natural habitats. Seven geophysical and climatic parameters i.e., relief, wind speed, wave exposure, surge height, tidal water depth, population density and natural habitats has been considered to simulated the model