Forty years of Landscape research

Papers of four decades published in Landscape Research are reviewed in order to chronicle the journal’s development and to assess the academic performance of the journal relative to its own aims. Landscape Research intends to reach a wide audience, to have a broad thematic coverage and to publish different types of papers with various methodological orientations. Cutting across these first aims are the interdisciplinary ambition of the journal, and its overall focus on landscape. These aims are evaluated based upon categorisation of article content, authorship and methodology, using data derived through interpretative inquiry and quantitative analyses. The results tell the story of how Landscape Research has developed from a newsletter of the Landscape Research Group, mainly aimed at practitioners, into an interdisciplinary, international journal with academic researchers as its primary community of interest. The final section discusses the current profile of the journal and identifies issues for its future direction and development

Investigation on the Driver-Victim Pairs in Pedestrian and Bicyclist Crashes by Latent Class 1 Clustering and Random Forest Algorithm

Pedestrians and bicyclists from marginalized and underserved populations experienced disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity among road users of different races and the increasing trend of traffic risk for underserved racial groups called for an urgent agenda for transportation policy making and research to ensure equity in roadway safety. Pedestrian and bicyclist crashes involved drivers and pedestrians/bicyclists; the latter were usually victims. Traditional safety studies did not account for the interaction between the two parties and assumed that they were independent from each other. In this study we paired the driver and pedestrian/bicyclist involved in the same crash to understand the socioeconomic and demographic make-up of the two parties involved in crashes and assessed the geographic distribution of these crashes and crash-contributing factors. For this purpose, we applied the latent class clustering analysis (LCA) to classify different crash types and analyze the patterns of the crashes based on the income and ethnicity of both drivers and victims involved in pedestrian and bicyclist crashes. We then used random forest algorithms and partial dependence plots (PDPs) to model and interpreted the contributing factors of the clusters in both pedestrian and bicyclist models. The clustering results showed a pattern of social segregation in pedestrian and bicyclist crashes that drivers and victims with similar socioeconomic characteristics tend to be involved in one crash. Pedestrian/bicyclist exposure, driver\u2019s age, victim\u2019s age, year of the car in use, annual average daily traffic (AADT), speed limit, roadbed width, and lane width were the most influential factors contributing to this pattern. Crashes that involved drivers and victims with lower income and non-white ethnicity tended to happen in the location with higher pedestrian/bicyclist exposure, higher speed limit, and wider road. The findings of this research can help to inform the decision-making process for improving safety to ensure equitable and sustainable safety for all road users and communities

Courthouse district concept plan : Final report

53 pp. Bookmarks supplied by UO.Includes maps and figures. Adopted July 31, 2002. Captured January 17, 2008.The Courthouse District Concept Plan envisions a vital new neighborhood on the east end of downtown Eugene, with a landmark building, a mix of uses, and a connection to the Willamette River. From the construction of the millrace in 1852, to the design of the new Federal Courthouse in 2002, this area has seen 150 years of urban transformation. The concept plan for this area builds on its history, while guiding a transformation into the district envisioned for the future. [From the Plan