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EMINENT DOMAIN AND ECONOMIC DEVELOPMENT IN ARIZONA: When is a use truly public?

Description
This focuses on recent changes in Arizona eminent domain law regarding the question of whether a use be "truly public." In light of the landmark decision in Bailey v City of Mesa--often lauded as a great victory for proponents of private property rights-- a few sources will be reviewed to…

This focuses on recent changes in Arizona eminent domain law regarding the question of whether a use be "truly public." In light of the landmark decision in Bailey v City of Mesa--often lauded as a great victory for proponents of private property rights-- a few sources will be reviewed to provide an indication of the extent redevelopment in Arizona has been affected by the decision. While the result in Bailey, precluding the City from taking the subject property may have been the correct outcome, the test to which the case now subjects any similar case involving redevelopment has made it unnecessarily difficult for political subdivisions of the state to carry out legislated redevelopment goals. The Bailey case only served to convolute the question of "public use" in the context of economic development, rather than create a workable body of law. In addition to providing a historical context and analyzing the effect of new interpretations on redevelopment generally, this paper will critique the Bailey decision in order to resolve the conflict that the decision created: that of the redevelopment goals of the state and municipalities and the authorized use of condemnation to achieve these goals with the judiciary's decision to greatly restrict the use of condemnation for the achievement of redevelopment goals. Arguably this conflict arose from a failure to fully understand the complexities of the use of the power of eminent domain for redevelopment purposes. Unaware of the need to use eminent domain in order to speed along and make possible economic redevelopment, overzealous proponents of property rights have reduced the issue to a narrow view of the state vs. the individual. Hopefully this paper can offer a more moderate and unbiased view of the use of eminent domain in light of the charge of the state and municipalities to facilitate economic growth.
ContributorsStern-Sapad, Zalman Badi (Author) / Birnbaum, Gary (Thesis director) / Braselton, James (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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Assessing the Potential for Transit-Oriented Development Infill to Reduce Life-Cycle Energy Use and Environmental Impacts: A Case Study of Los Angeles Metro's Gold and Orange Transit Lines

Description
Transit-oriented developments (TODs) are a promising strategy to increase public transit use and, as a result, reduce personal car travel. By using TOD infill to increase urban population density and encourage transportation mode-shifting, the potential exists to reduce life-cycle per capita energy use and environmental impacts of the interdependent infrastructure…

Transit-oriented developments (TODs) are a promising strategy to increase public transit use and, as a result, reduce personal car travel. By using TOD infill to increase urban population density and encourage transportation mode-shifting, the potential exists to reduce life-cycle per capita energy use and environmental impacts of the interdependent infrastructure systems. This project specifically examined the Gold Line of light rail and Orange Line of bus rapid transit in Los Angeles, CA.
ContributorsNahlik, Matthew John (Author) / Chester, Mikhail (Thesis director) / Pendyala, Ram (Committee member) / Pincetl, Stephanie (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor)
Created2013-05
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Land use and land cover classification using deep learning techniques

Description
Large datasets of sub-meter aerial imagery represented as orthophoto mosaics are widely available today, and these data sets may hold a great deal of untapped information. This imagery has a potential to locate several types of features; for example, forests, parking lots, airports, residential areas, or freeways in the imagery.…

Large datasets of sub-meter aerial imagery represented as orthophoto mosaics are widely available today, and these data sets may hold a great deal of untapped information. This imagery has a potential to locate several types of features; for example, forests, parking lots, airports, residential areas, or freeways in the imagery. However, the appearances of these things vary based on many things including the time that the image is captured, the sensor settings, processing done to rectify the image, and the geographical and cultural context of the region captured by the image. This thesis explores the use of deep convolutional neural networks to classify land use from very high spatial resolution (VHR), orthorectified, visible band multispectral imagery. Recent technological and commercial applications have driven the collection a massive amount of VHR images in the visible red, green, blue (RGB) spectral bands, this work explores the potential for deep learning algorithms to exploit this imagery for automatic land use/ land cover (LULC) classification. The benefits of automatic visible band VHR LULC classifications may include applications such as automatic change detection or mapping. Recent work has shown the potential of Deep Learning approaches for land use classification; however, this thesis improves on the state-of-the-art by applying additional dataset augmenting approaches that are well suited for geospatial data. Furthermore, the generalizability of the classifiers is tested by extensively evaluating the classifiers on unseen datasets and we present the accuracy levels of the classifier in order to show that the results actually generalize beyond the small benchmarks used in training. Deep networks have many parameters, and therefore they are often built with very large sets of labeled data. Suitably large datasets for LULC are not easy to come by, but techniques such as refinement learning allow networks trained for one task to be retrained to perform another recognition task. Contributions of this thesis include demonstrating that deep networks trained for image recognition in one task (ImageNet) can be efficiently transferred to remote sensing applications and perform as well or better than manually crafted classifiers without requiring massive training data sets. This is demonstrated on the UC Merced dataset, where 96% mean accuracy is achieved using a CNN (Convolutional Neural Network) and 5-fold cross validation. These results are further tested on unrelated VHR images at the same resolution as the training set.
ContributorsUba, Nagesh Kumar (Author) / Femiani, John (Thesis advisor) / Razdan, Anshuman (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2016

Sustainability Analysis of Monoculture to Polyculture Transitions: A Palm Oil Case Study

Description
The purpose of this research was to address the viability of a monoculture to polyculture agricultural land-cover transition within the context of the palm oil industry in Malaysia and Indonesia. A lifecycle assessment was used as a framework in the Cradle-to-Gate methodology used to understand sustainability hotspots, develop four future…

The purpose of this research was to address the viability of a monoculture to polyculture agricultural land-cover transition within the context of the palm oil industry in Malaysia and Indonesia. A lifecycle assessment was used as a framework in the Cradle-to-Gate methodology used to understand sustainability hotspots, develop four future scenarios, and to measure three chosen indicators for metric changes. The four scenarios included a business-as-usual, perfect world, and two transition scenarios highlighting greenhouse gases, bio-control chemicals, fertilizer-use, and crop yield as indicators. In the four scenarios, a 1000 ha of plantation land with 140,000 palm oil trees created the backdrop for investigating nutrient cycling, cultivation methods, and the economic trade-offs of a transition. Primary literature was the main source of investigation and a wide-variety of current polyculture research helped create tangible data across the four scenarios. However, polyculture failed to address the socioeconomic barriers present in the governance, business-state, and regulations within this industry and region. An institutional analysis was conducted to investigate the political, financial, and regulatory barriers in this industry and recommend changes. It was concluded that while polyculture is an important form of environmental sustainability and can increase crop yield, the socioeconomic structure of the industry is the largest barrier to change and implement polyculture. In order for this social structure to change, it was recommended that the regulatory institutions, such as the Roundtable for Sustainable Palm Oil (RSPO), reframe their pressure points and instead focus on the interconnectedness of logging and palm oil companies with the regional governments.
ContributorsPhillips, Katherine Wasem (Author) / Clark, Susan (Thesis director) / Shrestha, Milan (Committee member) / School of Sustainability (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05

Apache Junction Trail Connectivity, Downtown Visioning & State Land Visioning

Description

In the spring of 2016, the City of Apache Junction partnered with the School of Geographical Sciences and Urban Planning at Arizona State University on three forward-thinking plans for development in Apache Junction. Graduate students in the Urban and Environmental Planning program worked alongside City staff, elected officials and the…

In the spring of 2016, the City of Apache Junction partnered with the School of Geographical Sciences and Urban Planning at Arizona State University on three forward-thinking plans for development in Apache Junction. Graduate students in the Urban and Environmental Planning program worked alongside City staff, elected officials and the public to identify opportunities and visions for:
       1. Multi-modal access and connectivity improvements for City streets and open space.
       2. Downtown development.
       3. A master-planned community on state land south of the U.S. 60.

The following sections of the report present Apache Junction’s unique characteristics, current resident demographics, development needs and implementation strategies for each project:
       1. Community Profile
       2. Trail Connectivity Master Plan
       3. Downtown Visioning
       4. State Land Visioning

The Trail Connectivity Master Plan optimizes existing trails and wide road shoulders to improve multi-modal connections across the city. The proposed connections emphasize access to important recreation, education and other community facilities for pedestrians, equestrians and bicycles. Trail and lane designs recommend vegetated buffers, wherever possible, to improve traveler safety and comfort. The proposals also increase residents’ interaction with open space along urban-rural trails and park linkages to preserve opportunities to engage with nature. The objectives of the report are accomplished through three goals: connectivity, safety improvements and open space preservation.

Downtown Visioning builds on a large body of conceptual design work for Apache Junction’s downtown area along Idaho Road and Apache Trail. This report identifies three goals: to establish a town center, to reestablish the grid systems while maintaining a view of the Superstition Mountains, and to create an identity and sense of place for the downtown.

State Land Visioning addresses a tract of land, approximately 25 square miles in area, south of the U.S. 60. The main objective is to facilitate growth and proper development in accordance with existing goals in Apache Junction’s General Plan. This is accomplished through three goals:
       1. Develop a foundation for the creation of an economic corridor along US-60 through
           preliminary market research and land use planning.
       2. Create multi-modal connections between existing development north of US-60 and
           future recreational space northeast of US-60.
       3. Maintain a large ratio of open space to developed area that encompasses existing
           washes and floodplains using a master planned community framework to provide an
           example for future land use planning.
ContributorsBarr, Jason (Author) / Bolen, Spencer (Author) / Chen, Dian (Author) / Carothers, William (Author) / DuBois, Bailey (Author) / Godfrey, Kevin (Author) / Han, Siyuan (Author) / Hawkes, Trevor (Author) / Hu, Shixue (Shixue Carol) (Author) / Huang, Zeliu (Author) / Kay, Ryan (Author) / Kim, Joochul (Author) / Klaas, Morgan (Author) / Li, Pai (Author) / Meisenheimer, Joseph (Author) / Murray, Kelly-Desirae (Author) / Quintans, Christiane (Author) / Shi, Yuchuan (Author) / Smith, Bryan (Author) / Spriegel, Melissa (Author) / Wang, Xueyan (Author) / Wu, Junru (Author) / Arizona State University. School of Sustainable Engineering and the Built Environment (Contributor) / Arizona State University. Center for Earth Systems Engineering and Management (Contributor)