Surname analysis for estimating local concentration of Hispanics and Asians

Surname analysis is a potentially useful technique for identifying members of particular racial, ethnic, or language communities within a population. We review the existing state of the art for identifying persons of Hispanic or Asian origin, based on surnames distinctive of each group. We describe the logic of surname analysis, profile several available surname dictionaries, and illustrate their applications in local redistricting. Results of our ongoing validation studies suggest promising future directions for improving accuracy and broadening applications.This article is based on a paper presented at the annual Population Association of America meetings at Cincinnati, 1 April 1993.     

The ISSN as Identifier and as Linking Mechanism: An Interview with Fran§oise Pell©

Abstract

In this installment of Serial conversations, MIT cataloger Benjamin Abrahamse talks with Fran§oise Pell©, head of the International ISSN Centre, about the role played by International Standard Serial Numbers (ISSN) in facilitating the identification and collocation of serial publications in a networked environment.     

Is population decentralization lengthening commuting distances?

This study questions the conventional wisdom about how commuting distances change when workers migrate from metropolitan to nonmetropolitan areas. It does not appear that decentralization yields a more energy-intensive configuration of residences and job locations: we find no indication that this migration lengthens the aggregate distance that workers commute. Some migrants do commute long distances, but their numbers are offset by many more who end up closer to their jobs. Our findings relate to two contrasting views (“sprawl” and “nucleation”) of how workers are becoming repositioned in relation to their jobs as settlement patterns change; the latter view appears more realistic. We briefly discuss policy implications pertaining to alternative transportation modes for commuting, setting priority travel needs in an energy emergency, and telecommunications as a substitute for commuting.     

Applying demographic analysis to store site selection

This case study illustrates how applied demographic analysis can help structure business decisionmaking. We screened every one of several thousand square miles within metropolitan Southern California to identify the 10 best locations for a large supermarket catering to onestop shoppers. Locations were selected based on potential sales volume (irrespective of nearby competitors), future stability of the resident consumer base, and specific demographic factors likely to enhance sales potential among target shoppers (e.g., dual-earner families). The client placed as much importance on how the results were derived as on our recommendations. As a result, our analytic framework for comparing high-potential locations played a central role in structuring the client's thinking. This framework, together with the empirical analysis, illustrate how applied demographers can operationalize business questions about consumer markets and guide a client toward a more systematic way of reaching decisions.This article is based on a paper presented at the 1987 Population Association of America Meetings, Chicago, USA.     

How do socio-demographic and psychological factors relate to households’ direct and indirect energy use and savings?

Households constitute an important target group for energy conservation. They not only use energy in a direct way (gas, electricity and fuel) but also in an indirect way (embedded in the production, consumption and disposal of goods). During a period of five months (viz., October 2002–March 2003), direct and indirect energy use and direct and indirect energy savings of 189 Dutch households were monitored. The study examined the relative importance of socio-demographic variables and psychological variables in relation to household energy use and changes in energy use (viz., energy savings). For this purpose, variables from the theory of planned behavior [Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211] and the norm activation model [Schwartz, S. H. (1977). Normative influences on altruism. In L. Berkowitz (Ed.). Advances in experimental social psychology (Vol. 10, pp. 221–279). New York: Academic Press] were used. Results indicate that energy use is determined by socio-demographic variables, whereas changes in energy use, which may require some form of (cognitive) effort, appear to be related to psychological variables. The variables from the norm activation model were able to significantly add to the explanation of energy savings, over and above the variables from the theory of planned behavior. Also, different types of energy use and energy savings appeared to be related to different sets of determinants.