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The development and application of a land use diversity index for Oklahoma City,OK
Institution:1. Chesapeake Energy, Oklahoma City, OK, USA;2. Department of Geography and Environmental Sustainability, University of Oklahoma, Norman, OK 73019, USA;1. Departamento de Biologia, Faculdade de Ciências & CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Edifício FC4, Rua do Campo Alegre, S/N 4169-007 Porto, Portugal;2. Environmental Systems Analysis Group, Wageningen University, PO Box 47, 6700 AA Wageningen, The Netherlands;1. School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Building E, Room 326, Shenzhen 518055, China;2. School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Building E, Room 319, Shenzhen 518055, China;3. School of Computer Science and Engineering, South China University of Technology, Room 338, Building B3, South Campus (HEMC), Panyu District, Guangzhou 510006, China;1. UNESP – Univ Estadual Paulista, Instituto de Ciência e Tecnologia, Departamento de Engenharia Ambiental, Av. Eng. Francisco José Longo, 777, Jardim São Dimas, ZIP 12245-000, São José dos Campos, SP, Brazil;2. UNESP – Univ Estadual Paulista, Faculdade de Engenharia de Guaratinguetá, Energy Department, Av. Ariberto Pereira da Cunha, 333, ZIP 12516-410 Guaratinguetá, SP, Brazil
Abstract:Characteristics of land use and land use diversity play an integral part in determining how a city develops, and also can influence the allocation of funds for urban redevelopment, crime prevention, and civic and transportation projects. With the rise of the sustainability movement and concern about environmental degradation, more cities are interested in optimizing transportation routes and utilizing their budgets to accommodate high-priority projects that benefit the most people. This paper develops a method for measuring land use diversity for Oklahoma City, Oklahoma, and explores the relationship between land use diversity and a suite of demographic variables. To accomplish this, a land use diversity index (LUDI) was developed to examine spatial patterns in diversity of land use. The analysis shows that areas with a higher LUDI are near interstates and main corridors while areas with a lower LUDI are located closer to where newer residential areas have been developed. A multivariate statistical approach was then used to identify those variables that might explain the specific spatial patterns of the LUDI in Oklahoma City. The results identify the relationship between the demographic variables and land use across the city, and illustrate the most interesting and significant spatial patterns. By coupling the land use diversity index and demographic data, Oklahoma City planners can apply the information to help make important decisions for the city, and it will provide quantifiable data to support their decisions.
Keywords:Land use  Diversity indicies  Urban planning  New urbanism
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