He has had a good consistent run as starter that few quarterbacks ever enjoy in the league. After years of playoff disappointments in Cincinnati, the only thing left for his career was a shot at a ring. He gets that in Dallas. Dalton is highly intelligent and adaptable quarterback, something for which he didn't get enough credit with constant philosophical changes in Cincinnati. When he had the right supporting personnel in the receiving corps, running game and offensive line, he executed efficiently. There are things he will totally get from Moore's scheming, and things that are old hat for him in McCarthy's system.
Rush and DiNucci have nowhere near the same kind of experience and pro passing acumen.
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Instead, Dalton, like that one-time redheaded backup turned offensive coordinator Jason Garrett in Dallas, can serve as an extra coach with Moore, McCarthy and quarterbacks coach Doug Nussmeier. Deploying a GIS-based scenario urban planning tool in a global south mega-city. Yunda , Juan [ Pontificia Universidad Javeriana ] juanyunda gmail. These failures highlight arising challenges in participatory planning of global south cities, which now resemble those present in cities of the global north.
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The introduction of new technologies in the field of Bottom-up GIS may help, in this case aiding communication among stakeholders, building consensus, and advancing the implementation of policies that are more sustainable and equitable for the city Talen, The purpose of using ET is contributing to the local participatory planning process, rapidly presenting to authorities and the different stakeholders several planning scenarios for the city with on the fly sustainability indicators that allow their comparison Fregonese Associates, n. The process of calibrating ET for its use in Bogota includes, among several tasks, the development of a new building library that reflects the different urban landscapes present in Colombian cities, changing values of land and development costs, new sustainability indicators, and gathering the necessary local GIS databases.
Bottom-up GIS planning solutions in Colombia are important because authorities have traditionally drafted codes from the top to the bottom, and monopolized urban data preventing an effective citizen participation in planning. In terms of local built landscapes, it is worth highlighting the quantitative sustainability indicators found in settlements developed informally; these indicators are higher in some topics in comparison with formal development.
This puts into question the long-established view that cities in Latin America should incentivize the development of large mono-functional compounds with low-cost housing in peri-urban areas, instead of exploring other less formal alternatives to solve the affordable housing shortages. Citations Chakraborty, A. Journal of the American Planning Association, 81 1 , 18— Fregonese Associates n. About Envision Tomorrow. Planning support systems for smart cities. City, Culture and Society, 12, 13— Talen, E. Bottom-Up GIS. Journal of the American Planning Association, 66 3 , — Yunda, J.
Cities, 97, Equitable transportation access to commercial areas: An automated analytic approach using GPS traces. Jiang , Zhiqiu [ University of Virginia ] zj3av virginia. Mondschein , Andrew [ University of Virginia ] mondschein virginia. Urban commercial districts and centers provide concentrated opportunities for shopping, dining, leisure, and other services. Rapid development in these areas has made them critical for local economic development as well as exerting significant influence on urban society and culture. Investment in these areas is often shaped by local urban planning, but how these plans affect accessibility and behavior of residents living nearby and beyond is often unexamined, despite the fact that land use and transportation plans and investments have a major effect on urban mobility and accessibility.
Traditionally, data for travel behavior analysis has been derived from travel surveys with limited sample sizes that impede temporally and spatially fine-grained analysis. When small sample travel survey data is applied to specific destinations, such as businesses of a specific type, or travel times, such as evenings, travel survey data often cannot supply enough information to validly assess local patterns, or to do so in a way that obscures the behavior of specific individuals. However, recent advances in communication technologies have enabled researchers to collect travel data based on ubiquitous and location-aware smartphones, with massive GPS space-time data at a fine scale.
These advances hold out the promise of allowing an automated detection of trip characteristics such as the mode of transport, travel purpose, travel time, and other travel characteristics to specific districts at specific times, with sufficient data to supply statistical validity and greater protection of anonymity than typical surveys. In this study, we develop a data fusion framework to integrate fine-grained individual GPS trace data from smartphones of a month period, land use and built environment data, and demographic data from the U.
In particular, this study develops a machine learning-based approach to identify trip information, including mode of transport and trip purpose activity , and residence based on the data fusion framework. We train and validate several prediction models to predict the trip and dwelling characteristics. Model performance compares favorably with previous studies during cross-validation. This analysis makes two contributions to urban planning research, one regarding inequitable access to commercial districts, and the second regarding methods for using GPS traces to analyze travel behavior at specific places and times.
The results show travel patterns and accessibility for Phoenix residents to specific areas at specific times of day, such as during the evening. Travel patterns demonstrate substantial implications for equitable access to locations with major economic and social opportunities. We find that this machine learning-based approach to support trip and dwelling information extraction for large and fine-scale individual travel data can be a reliable and efficient in terms of cost and human resources data analysis method for planners.
Citations Akhavan, A. Accessibility inequality in Houston. Crane, R. The influence of urban form on travel: an interpretive review. Journal of Planning literature, 15 1 , Litman, T. Land use impacts on transport. Canada: Victoria Transport Policy Institute. Yazdizadeh, A. An automated approach from GPS traces to complete trip information.
International Journal of Transportation Science and Technology, 8 1 , Planning and technological innovation: The governance challenges faced by English local authorities in adopting PlanTech. Devlin , Ciaran [ University of Warwick ] c. Technological innovation has the potential to change how people engage with and experience their city.
Multinational corporations are developing pervasive physical infrastructures, data mining techniques and predictive analytics to open the cities usually opaque, unquantified flows of information. This approach to urban development has been touted as a method of enabling city administrations to become more proactive when dealing with issues including pollution, traffic flow and congestion, public safety, energy use and urban planning. This trend towards using technology in urban management and planning has sparked research and development initiatives across the planet.
In the United Kingdom technological innovation is a key objective of the Conservative Government. It has published numerous policy documents that aim to achieve digital transformation of the economy, including public services. Urban planning is one of these public services that has been identified for transformation and to enable innovation in this field, the government funded Connected Places Catapult CPC has been given a remit of stimulating research and development into technologies that can improve the efficiencies of the planning system and simultaneously deliver a better planning service and outcomes for citizens, developers and other stakeholders.
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The PlanTech movement is a CPC initiative that aims to improve engagement between various actors in the planning system, including local authorities and central government, with tech start-ups and digital entrepreneurs who can design solutions to the problems currently experienced by planners, developers and citizens alike. To date this approach has achieved some modest gains yet it is characterised by piecemeal and lacklustre uptake. Despite the significant opportunities that technologies offer planning departments in city councils in terms of productivity, existing governance models could represent a significant obstacle to implementation.
This paper uses a case study analysis of two English city councils, Coventry and Leeds, to examine how the existing governance framework supports and facilitates urban planning in English local authorities.
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Utilising the information gained from a combination of semi-structured interviews, literature review and stakeholder engagement exercises, it investigates the growing role of technology in planning practice within the public sector and discusses the potential implications that it may have for current governance arrangements. Finally, it suggests a framework for future urban planning governance in the era of the Smart City within an English political context.
This timely and important study provides an essential analysis of the challenges facing urban planning practice in English city councils during a period of economic transition and political uncertainty. It offers a critical view of how current urban planning practice and governance procedures are being quickly subsumed by digital technologies which offer novel and effective methods for professional planners yet undermine or are inhibited by current governance arrangements. Based on ethnographic research techniques, this paper proposes a future planning paradigm based around the use of technology, that is urban planning in the Smart City.
Citations 1.
Batty, M. Axhausen, K. Giannotti, F. Pozdnoukhov, A. Bazzani, A. Wachowicz, M. Ouzounis, G. Smart Cities of the Future. The European Physical Journal. Boonstra, B. Self-organisation in Urban Development: towards a new perspective on Spatial Planning. Urban Research and Practice. Connell, D. Schools of Planning Thought: Exploring Differences through similarities.
International Planning Studies. Leszczynski, A. Speculative futures: Cities, data, and governance beyond smart urbanism. Environment and Planning A. Thompson, E. Greenhalgh, P. Muldoon-Smith, K. Charlton, J. Planners in the future city: Using city information modelling to support planners as market actors. Urban Planning. Spatial Pattern Analysis of PM 2. Chun , Bumseok [ Texas Southern University ] bum. Pan , Qisheng [ Texas Southern University ] qisheng.
Choi , Kwangyul [ University of Calgary ] kwangyul. Particulate matter PM may generate a variety of negative effects on health, such as heart or lung disease, asthma, and respiratory symptoms. The pollutants in the atmosphere primarily result from human activities, like social-economic, and industrial activities through vehicular travel Guttikunda and Calori, , Kim et al. Hence, the amount of such particles continues to elevate as population grows in urban areas. However, the poor air ventilation of urban area may cause the effects of PM worse by increasing PM concentration as air pollutants are isolated in densely built-up urban environments.
Therefore, it is indispensable to reduce PM 2. However, few studies have investigated the quantity and spatial patterns of PM concentrations in highly developed urban areas. As an extension of our previous research Chun, Choi, and Pan, , this study explores the quantity and spatial patterns of PM 2. To do so, we employ the geographically weighted regression GWR and the random forest RF algorithms with spatial big data.
Our empirical study focused on two highly built-up urban areas, i. Austin and Houston in the Texas Triangle region. We first estimate the PM 2. Second, various two- and three-dimensional urban characteristics are built in the Geo-Spatial domain. Third, the RF algorithm, one of machine learning algorithms, is implemented to determine which urban characteristics has dominantly affected the PM 2. The findings will contribute to developing and evaluating the environmental policy for achieving long-term local sustainability.
Citations Chun, B. The nexus between PM 2. Transportation Research Part D, Vol. Guttikunda, S. Atmospheric Environment, Vol. Kim, K. A review on the human health impact of airborne particulate matter. Environment International, Vol. Who has access to street greenery corridors? Evidence from Google Street View and computer vision algorithms. Choi , Dong-ah [ University of Utah ] dongachoi gmail. Rigolon , Alessandro [ University of Utah ] alessandro. Park , Keunhyun [ Utah State University ] healer02 gmail. Urban green space is a critical amenity that promotes physical activity, mental health and wellbeing, and social interactions Sugiyama and Thomson, ; Lee and Maheswaran, ; Astell-Burt, Mitchell, and Hartig, ; Thompson Coon et al.
Easily accessible street greenery, including trees, grass, and shrubs, might have a higher potential to support active transportation, regular physical activity, and outdoor social engagement than distant public parks, especially for groups with limited mobility e. With regard to development and policy implementation, the U. Environmental Protection Agency EPA emphasizes fair treatment of all people regardless of race, color, national origin, or income in order to achieve environmental justice.
Recently, the landscape and urban planning literature has increasingly applied computer vision techniques to analyze street-level physical elements by using publicly-available street imagery data, such as Google Street View Li et al.