Using GIS in community design charrettes: Lessons from a Japan–U.S. collaboration in earthquake recovery and mitigation planning for Kobe

Charrettes have become popular in the urban design field, especially for use among multidisciplinary teams of professionals and non-professional community stakeholders seeking to incorporate a rich array of expertise in short visioning activities. Geographic Information Systems are among the technologies with potential to provide sophisticated spatial information to charrette participants efficiently. This article reports on a charrette carried out jointly by teams from Kobe University and the University of Washington, Seattle, USA, using GIS to inform urban design in three neighborhoods affected by the Great Hanshin–Awaji Earthquake of 1995 in Kobe, Japan. The article describes the charrette itself, and discusses the utility of GIS, given the challenges of disaster recovery in a context of undeveloped institutions for public participation, and with participants of different linguistic and educational backgrounds. In combination with electronically storable drawing technology, GIS proved useful in enlarging the multidisciplinary and cross-cultural reach of urban design; in incorporating new layers of pre-prepared expert data, and in combining such data with dynamically-generated “advice maps” and design ideas. For GIS-based charrettes to become more widely useful in community-scale design in Japan, however, additional property-scale data need to be available.     

Crime,Search, and Ex‐offenders’ Accessibility to Labor Markets

Rehabilitation for ex‐offenders has positive (e.g. more production) and negative (e.g. more crime) effects on society. We investigate the effect of rehabilitation on criminal behavior and the labor market using a search model. In the case where ex‐offenders cannot join the labor market, promoting rehabilitation for them may reduce crime. In such a case, the equilibrium allocation may be inefficient. Moreover, under the Hosios condition, equilibrium labor market tightness is lower than the efficient outcome because of crime, as the crime option raises the value of unemployed workers. Because this option works as a negative externality on matched firms, equilibrium tightness is lower than the optimal level.     

Who Gets an Early Education? Family Income and the Enrollment of Three‐ to Five‐Year‐Olds from 1968 to 2000*

Objectives. Has inequality in access to early education been growing or lessening over time? Methods. Using the October Current Population Survey education supplement from 1968 to 2000, we look at three‐, four‐, and five‐year‐olds' enrollment in early education—including center‐based care, Head Start, nursery school, prekindergarten, and kindergarten. Results. Our analysis shows a strong link between family income and early education enrollment for three‐ and four‐year‐olds, especially when we compare the bottom two and the top two income groups. These differences remain even after controlling for a large variety of factors, including race/ethnicity, maternal employment, family structure, and parental education. Conclusions. Inequality in early education by income group varies by age of child: it is most pronounced for three‐year‐olds, who have been the least likely to benefit from public early childhood education programs; it has diminished in the past decade for four‐year‐olds, who have been increasingly likely to have access to public prekindergarten programs; and it has all but disappeared for the five‐year‐olds, who now largely attend public kindergarten. This pattern suggests a potentially important role for public policy in closing the gap in early education between children of different income groups.     

Kernel naive Bayes discrimination for high‐dimensional pattern recognition

Kernel discriminant analysis translates the original classification problem into feature space and solves the problem with dimension and sample size interchanged. In high‐dimension low sample size (HDLSS) settings, this reduces the ‘dimension’ to that of the sample size. For HDLSS two‐class problems we modify Mika's kernel Fisher discriminant function which – in general – remains ill‐posed even in a kernel setting; see Mika et al. (1999). We propose a kernel naive Bayes discriminant function and its smoothed version, using first‐ and second‐degree polynomial kernels. For fixed sample size and increasing dimension, we present asymptotic expressions for the kernel discriminant functions, discriminant directions and for the error probability of our kernel discriminant functions. The theoretical calculations are complemented by simulations which show the convergence of the estimators to the population quantities as the dimension grows. We illustrate the performance of the new discriminant rules, which are easy to implement, on real HDLSS data. For such data, our results clearly demonstrate the superior performance of the new discriminant rules, and especially their smoothed versions, over Mika's kernel Fisher version, and typically also over the commonly used naive Bayes discriminant rule.     

Oligarchy for Social Choice Correspondences and Strategy-Proofness

We study the existence of a group of individuals which has some decisive power for social choice correspondences that satisfy a monotonicity property which we call modified monotonicity. And we examine the relation between modified monotonicity and strategy-proofness of social choice correspondences according to the definition by Duggan and Schwartz (2000). We will show mainly the following two results. (1) Modified monotonicity implies the existence of an oligarchy. An oligarchy is a group of individuals such that it has some decisive power (semi-decisiveness), and at least one of the most preferred alternatives of every its member is always chosen by any social choice correspondence. (2) Strategy-proofness of social choice correspondences is equivalent to modified monotonicity.     

Daily Inhalation Rate and Time‐Activity/Location Pattern in Japanese Preschool Children

Lack of data on daily inhalation rate and activity of children has been an issue in health risk assessment of air pollutants. This study aimed to obtain the daily inhalation rate and intensity and frequency of physical activity in relation to the environment in Japanese preschool children. Children aged four–six years (n= 138) in the suburbs of Tokyo participated in this study, which involved three days' continuous monitoring of physical activity using a tri‐axial accelerometer and parent's completion of a time/location diary during daily life. The estimated three‐day mean daily inhalation rate (body temperature, pressure, saturated with water vapor) was 9.9 ± 1.6 m³/day (0.52 ± 0.09 m³/kg/day). The current daily inhalation rate value of 0.580 m³/kg/day proposed for use in health risk assessment in Japan is confirmed to be valid to calculate central value of inhaled dose of air pollutants in five‐ to six‐year‐old children. However, the 95th percentile daily inhalation rate of 0.83 m³/kg/day based on measurement for five‐year‐old children is recommended to be used to provide an upper bound estimate of exposure that ensure the protection of all five‐ to six‐year‐old children from the health risk of air pollutants. Children spent the majority of their time in sedentary and light level of physical activity (LPA) when indoors, while 85% of their time when outdoors was spent in LPA and moderate‐to‐vigorous physical activity. The results suggest the need to consider variability of minute respiratory ventilation rate according to the environment for more refined short‐term health risk assessment.     

Positive Feedback Model for City Vitalization

Abstract  In the present study, we first attempt to construct a model for the dynamics of city images, in which intra- and intercity communications promote the joint possession of city images by residents and the establishment of a city identity. It is suggested that community spirit, which emerges strongly associated with city identity, urges citizens to voluntarily take part in a city's cultural events. The voluntary participation of citizens may change various aspects of a city's functions and physical structure, and as a result the city becomes vitalized in a bottom-up way. Based on this model, we propose a new planning method to facilitate city vitalization as a substitute for hardware-oriented planning. Finally, to ascertain the effectiveness of the new planning method, we focus on Iida City, which has recently successfully established its identity as a puppet drama town.     

Quadratic perturbation expansions of certain functions of eigenvalues and eigenvectors and their application to sensitivity analysis in multivariate methods

Tanaka (1988) lias derived the influence functions, which are equivalent to the perturbation expansions up to linear terms, of two functions of eigenvalues and eigenvectors of a real symmetric matrix, and applied them to principal component analysis. The present paper deals with the perturbation expansions up to quadratic terms of the same functions and discusses their application to sensitivity analysis in multivariate methods, in particular, principal component analysis and principal factor analysis. Numerical examples are given to show how the approximation improves with the quadratic terms.