Addressing Land Issues in Disaster Risk Management in the Pacific Island Countries

The Pacific region is one of the most disaster-prone in the world. Rapid urbanization, conflict over land, and the establishment of informal settlements on hazardous sites further exacerbate the problems. These issues present a significant challenge for government agencies, which require capacity building to respond adequately. Customary land predominates in many Pacific island countries and is central to decisions about land. In this paper we review previous disasters in the Pacific island countries to identify land issues that have emerged, and consider how land tenure and disaster management are administered. We conclude that land and national disaster management office agencies must work together to address land issues in the context of natural disasters and that customary groups should be involved in disaster risk reduction activities and efforts to improve tenure security for all legitimate landholders. Capacity strengthening would benefit all groups involved

Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions

Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies requires meaningful urban metrics, which could quantify important urban characteristics including various aspects of an actual human behavior. Since a city size is known to have a major, yet often nonlinear, impact on the human activity, it also becomes important to develop scale-free metrics that capture qualitative city properties, beyond the effects of scale. Recent availability of extensive datasets created by human activity involving digital technologies creates new opportunities in this area. In this paper we propose a novel approach of city scoring and classification based on quantitative scale-free metrics related to economic activity of city residents, as well as domestic and foreign visitors. It is demonstrated on the example of Spain, but the proposed methodology is of a general character. We employ a new source of large-scale ubiquitous data, which consists of anonymized countrywide records of bank card transactions collected by one of the largest Spanish banks. Different aspects of the classification reveal important properties of Spanish cities, which significantly complement the pattern that might be discovered with the official socioeconomic statistics.Comment: 10 pages, 7 figures, to be published in the proceedings of ASE BigDataScience 2014 conferenc