The East Asian miracle: Economic growth and public policy: By the World Bank. (New York: Oxford University Press for the World Bank, 1993. 389 pp. $19.95, paper.)

Social Vulnerability to Environmental Hazards

Minimum Design Loads for Buildings and Other Structures provides requirements for general structural design and includes means for determining dead, live, soil, flood, wind, snow, rain, atmospheric ice, and earthquake loads, as well as their combinations, which are suitable for inclusion in building codes and other documents. This Standard, a revision of ASCE/SEI 7-05, offers a complete update and reorganization of the wind load provisions, expanding them from one chapter into six. The Standard contains new ultimate event wind maps with corresponding reductions in load factors, so that the loads are not affected, and updates the seismic loads with new risk-targeted seismic maps. The snow, live, and atmospheric icing provisions are updated as well. In addition, the Standard includes a detailed Commentary with explanatory and supplementary information designed to assist building code committees and regulatory authorities. Standard ASCE/SEI 7 is an integral part of building codes in the United States. Many of the load provisions are substantially adopted by reference in the International Building Code and the NFPA 5000 Building Construction and Safety Code. Structural engineers, architects, and those engaged in preparing and administering local building codes will find this Standard an essential reference in their practice. Note: New orders are fulfilled from the second printing, which incorporates the errata to the first printing.

Minimum Design Loads for Buildings and Other Structures

Urban tourism research: Recent progress and current paradoxes

A predictive model, for example, a neural network, evaluates individual debt holder accounts and predicts the amount that will be collected on each account based on learned relationships among known variables. The predictive model is generated using historical data of delinquent debt accounts, the collection methods used to collect the debts in the accounts, and the success of the collection methods. In one embodiment, the predictive model is generated using profiles of delinquent debt accounts summarizing patterns of events in the accounts, and the success of the collection effort in each account. In another embodiment, the predictive model includes a mathematical representation of the collector's notes created during the collection period for each account.

Enhancing delinquent debt collection using statistical models of debt historical information and account events

Community resilience has been addressed across multiple disciplines including environmental sciences, engineering, sociology, psychology, and economics. Interest in community resilience gained momentum following several key natural and human-caused hazards in the United States and worldwide. To date, a comprehensive community resilience model that encompasses the performance of all the physical and socio-economic components from immediate impact through the recovery phase of a natural disaster has not been available. This paper summarizes a literature review of previous community resilience studies with a focus on natural hazards, which includes primarily models of individual infrastructure systems, their interdependencies, and community economic and social systems. A series of national and international initiatives aimed at community resilience are also summarized in this study. This paper suggests extensions of existing modeling methodologies aimed at developing an improved, integrated understanding of resilience that can be used by policy-makers in preparation for future events.

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State of the research in community resilience: progress and challenges.

Enhancing community resilience in the future will require new interdisciplinary systems-based approaches that depend on many disciplines, including engineering, social and economic, and information sciences. The National Institute of Standards and Technology awarded the Center for Risk-Based Community Resilience Planning to Colorado State University and nine other universities in 2015, with the overarching goal of establishing the measurement science for community resilience assessment. The Centerville Virtual Community Testbed is aimed at enabling fundamental resilience assessment algorithms to be initiated, developed, and coded in a preliminary form, and tested before the refined measurement methods and supporting data classifications and databases necessary for a more complete assessment have fully matured. This paper introduces the Centerville Testbed, defining the physical infrastructure within the community, natural hazards to which it is exposed, and the population demographics necessary to...

The Centerville Virtual Community: a fully integrated decision model of interacting physical and social infrastructure systems

In this paper we attempt to describe both the data sources and organizational methods that allow for effective and easily created SAMs and regional computable general equilibrium (CGE) models. Small cities of around 100,000 people will face very different constraints than a town of 2000 people. Unfortunately, most CGE models typically describe relatively large geographical areas and are therefore not able to capture the uniqueness of individual cities within the region. An illustrative example using these methods demonstrates that the economic impacts vary substantially over different municipalities to the same economic shock.

Building Small City and Town Sams and CGE Models

A dynamic spatial computable general equilibrium (DSCGE) model is constructed that describes how engineering and economic models can be integrated to assess the economic, demographic, and fiscal impacts of disasters. This paper has two objectives. First, we introduce the DSCGE model and describe how it is calibrated specifically for Centerville. Second, to demonstrate the analytic flexibility of the DSCGE platform, we present economy-wide prompt effects from simulations involving spatially circumscribed shocks to Centerville’s building portfolio and transportation infrastructure, and then detail dynamic economy-wide effects from simulations involving combinations of infrastructure damage and adjustments to the economic behavior of agents. We conclude with a discussion of the technical challenges ahead.

Harvey Cutler

Papers

State of the research in community resilience: progress and challenges.

The Centerville Virtual Community: a fully integrated decision model of interacting physical and social infrastructure systems

Building Small City and Town Sams and CGE Models

Integrating engineering outputs from natural disaster models into a dynamic spatial computable general equilibrium model of Centerville

Market recycling in labor-intensive goods, flying-geese style: an empirical analysis of East Asian exports to the U.S.