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Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study examines the relationship between light rail transit (LRT) stations and changes in neighborhood characteristics associated with gentrification using spatial regression analyses with longitudinal data across 14 US urbanized areas (UAs). Overall, we do not find evidence of prevalent gentrification in LRT station areas. An analysis of UA-specific impacts shows heterogeneous outcomes across different UAs, particularly: strong transit-oriented development (TOD) effects accompanied by gentrification in San Francisco and TOD with countergentrification in Portland. Our results highlight that different local and regional planning efforts can lead to different types of changes in transit station neighborhoods. [ABSTRACT FROM AUTHOR]

The agricultural sector is highly vulnerable to bioterrorism attacks with the potential for severe economic consequences. This article presents estimates of state-by-state total economic impacts of a hypothetical agroterrorism attack that uses foot-and-mouth disease (FMD) pathogens, which is one of the most contagious animal diseases and can be easily weaponized. The authors estimate the economic impacts across the U.S. states by applying the National Interstate Economic Model (NIEMO), a multiregional input output (MRIO) model. Total economic impacts range from $23 billion to $34 billion. The overwhelming sources of the losses are due to domestic and international demand cuts. The results of this research highlight the point that the economic impacts are nationwide, regardless of the location of the attack because of large-scale export losses. [ABSTRACT FROM PUBLISHER]

This article attempts to explain the increase in commuting times in the 1990s after decades of stability. Although traditional explanations, for example both demographic variables (population growth and densities) and transportation variables (e.g. road capacity and transit use), pass the statistical significance tests, their overall impact was small. Instead, the article argues for the importance of strong income growth in the late 1990s, not least because it was associated with an increase in non-work vehicle miles traveled; these affect commuting times because many nonwork trips take place in peak hours. [ABSTRACT FROM AUTHOR]