Quantifying the Effects of Residential Infill Redevelopment on Urban
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Urban Density, Creativity, and Innovation
URBAN DENSITY, CREATIVITY, AND INNOVATION May 2007 Brian Knudsen, Richard Florida, Gary Gates, and Kevin Stolarick Abstract: Geographers and social scientists have probed the effects of agglomeration and spatial clustering on innovation and economic growth. Economists and others have identified the role of knowledge spillovers in driving the innovation process. While innovation is thus assumed to be a function of proximity, there has been little systematic research on the role of density in innovation. Thus, this research investigates density, and more specifically the density of creative workers, as a key factor influencing regional innovation. It uses principal components analysis to create and implement a composite measure of density and presents a model of innovation as a function of creative-density. Statistical analyses including multivariate regression finds that density and creativity separately and jointly affect innovation in metropolitan areas. The regression analysis finds a positive relationship between the density of creative workers and metropolitan patenting activity. This suggests that density is a key component of knowledge spillovers and a key component of innovation. Keywords: Creativity, Density, Innovation, Learning, Spillovers 1 I. Introduction Geographers and social scientists have long been interested in the effects of proximity and agglomeration on innovation and economic growth. Ever since Alfred Marshall, geographers have examined the economic consequences of dense linkages in industrial and economic agglomerations. These geographic agglomerations create external economies of scale through the sharing of technology and managerial expertise, thus increasing the productivity of inputs. For the past two decades, economic geographers have been especially interested in the rise of specialized innovation districts in the innovation process. -
01042 Norman Cover 11X17.Indd
An employee-owned company Document No. 080238 PBS&J Job No. 441941 FINAL REPORT STORM WATER MASTER PLAN NORMAN, OKLAHOMA Prepared for: City of Norman, Oklahoma 201 West Gray Building A Norman, Oklahoma 73070 Prepared by: in association with: PBS&J PBS&J Halff Associates, Inc. Vieux, Inc. 6504 Bridge Point Parkway 350 David L. Boren Blvd. 4030 West Braker Lane 350 David L. Boren Blvd. Suite 200 Suite 1510 Suite 450 Suite 2500 Austin, Texas 78730 Norman, Oklahoma 73072 Austin, Texas 78759-5356 Norman, Oklahoma 73072-7267 October 2009 Contents Page Page List of Figures................................................................................................................................................iv 4.2.2 Hydraulic Modeling for Level 3 and 4 Streams..............................................................4-27 List of Tables.................................................................................................................................................iv 4.2.2.1 RFD Inputs and Outputs..........................................................................4-27 List of Exhibits ............................................................................................................................................... v 4.2.2.2 RFD Processing .......................................................................................4-28 Acronyms and Abbreviations ........................................................................................................................vi 4.2.2.3 RFD Application for -
Urban Densification --A Sustainable Urban Policy?
© 2002 WIT Press, Ashurst Lodge, Southampton, SO40 7AA, UK. All rights reserved. Web: www.witpress.com Email [email protected] Paper from: The Sustainable City II, CA Brebbia, JF Martin-Duque & LC Wadhwa (Editors). ISBN 1-85312-917-8 Urban densification --a sustainable urban policy? A. Skovbro Danish Centre for Forest, Landscape and Planning, Department of urban and regional planning, Denmark Abstract Planning policies in many European countries advocate for the Compact City or some sort of compaction process, as a strategy to obtain a more sustainable urban development, It contrasts the car-oriented urban sprawl of many modern cities, creating longer distances between urban functions, poor access to facilities and services, less efficient infrastructure provision, loss of open land, social segregation, etc. A Compact City policy in contrast should by regeneration and densification of the urban area crei~te the opposite, thus contributing to a more sustainable development in its broadest sense, social, economic and environmental, This paper explores the implications of urban densification, Based on a case study of a Copenhagen district, the paper will show the pros and cons of urban densification and the impacts on the urban environment, focussing on the local urban environment. The casestudy will be used to conclude whether densification and compact city policies can lead to a more sustainable urban environment. 1 Towards higher densities and sustainability in the 1990s Danish national government has supported a sort of densification policy since the mid 1990s. The turn in the 1990s Itowards higher densities in urban areas was happening due to several circumsti~nces. -
Smart Growth and Economic Success: Benefits for Real Estate Developers, Investors, Businesses, and Local Governments
United States December 2012 Environmental Protection Agency www.epa.gov/smartgrowth SMART GROWTH AND ECONOMIC SUCCESS: BENEFITS FOR REAL ESTATE DEVELOPERS, INVESTORS, BUSINESSES, AND LOCAL GOVERNMENTS Office of Sustainable Communities Smart Growth Program (Distributed at 1/14/13 Sustainable Thurston Task Force meeting) Acknowledgments This report was prepared by the EPA’s Office of Sustainable Communities with the assistance of Renaissance Planning Group under contract number EP-W-11-009/010/11. Principal Staff Contacts: Melissa Kramer and Lee Sobel Mention of trade names, products, or services does not convey official EPA approval, endorsement, or recommendation. Cover photos (left to right, top to bottom): Barracks Row in Washington, D.C., courtesy of Lee Sobel; TRAX light rail in Sandy, Utah, courtesy of Melissa Kramer; Mission Creek Senior Community in San Francisco, California, courtesy of Alan Karchmer and Mercy Housing Inc. (Distributed at 1/14/13 Sustainable Thurston Task Force meeting) Table of Contents Executive Summary ........................................................................................................................................ i I. Economic Advantages of Smart Growth Strategies .............................................................................. 1 II. Economic Advantages of Compact Development ................................................................................. 4 A. Higher Revenue Generation per Acre of Land ................................................................................. -
Flood Modeling: Main Concepts and Ideas on How to Develop Flood Models Using Open Data
FLOOD MODELING: MAIN CONCEPTS AND IDEAS ON HOW TO DEVELOP FLOOD MODELS USING OPEN DATA FRANCISCO FEBRONIO PENA GUERRA Major Advisor FIU: Dr. Assefa Melesse Major Advisor UNIFI: Dr. Fernando Nardi Department of Earth and Environment Florida International University Source: Alan White (BuzzFeed) OUTLINE BACKGROUND 2D HYDRAULIC CASE STUDY BUILD MODEL EXPECTED DISCUSSION MODELING FROM SCRATCH OUTPUTS Q & A 2 TYPES OF FLOODING Compound flooding: Interaction of multiple flood drivers (Zscheischler et al. 2018) Coastal Flooding Source: Ben Gilliland (NERC) Source: Thomas Wahl (UCF) 3 HAZARD INTERRELATION APPROACHES I. Stochastic: • Based on samples of different variables with random behavior evolving in time II. Empirical: • Based on measurements and are observation oriented III. Mechanistic: • Mathematically idealized representation of real phenomena Source: Tilloy et al., 2019 4 TYPES OF FLOOD MODELS 1. Hydrologic: Characterization of hydrologic features and systems (i.e. HEC-HMS, EPA SWMM, SWAT, GSSHA, Vflo...) 2. Hydraulic: Simulate flood processes over unconfined flow surfaces and channels in 1D (i.e. HEC-RAS, IBER...) HEC-HMS hydrologic model FLO-2D hydraulic model Source: Santillan, 2015 Source: TRBA and 2D (i.e. FLO-2D, Infoworks ICM,ICPR4...) 3. Storm surge: Increase of surge levels due to storms, hurricanes and future coastal conditions (i.e. SLOSH, ADCIRC, SWAN...) 4. Groundwater: Surface-subsurface interactions from permeable soil strata (i.e. ModelMuse, MODFLOW) FVCOM ocean circulation model ModelMuse groundwater model Source: USGS Source: FVCOM 5 MODEL LINKING TECHNIQUES There are different techniques to combine numerical models: • One-way (i.e. linking technique) • Two-way (i.e. 1D + 2D models) • Tightly (i.e. SWAN + ADCIRC) • Fully (i.e. -
Measuring Urban Sprawl; How Can We Deal with It? Amnon Frenkel, Maya Ashkenazi
Measuring Urban Sprawl; How Can We Deal With It? Amnon Frenkel, Maya Ashkenazi Faculty of Architecture and Town Planning, and Center for Urban and Regional Studies, Technion-Israel Institute of Technology, Haifa, Israel. Tel: +972-4-8293956, Fax: +972-4-8294071, E-mail: [email protected],ac,il Abstract Measuring urban sprawl is a controversial topic among scholars who investigate the urban landscape. This study attempts to measure sprawl from a landscape perspective. The measures and indices used derive from various research disciplines, such as urban research, ecological research, and fractal geometry. The examination was based on an urban land-use survey performed in 78 urban settlements in Israel over the course of 15 years. Measures of sprawl were calculated at each settlement and then weighted into one integrated sprawl index through factor analysis, thus enabling a description of sprawl rates and their dynamics during a time period of two decades. The results reveal that urban sprawl is a multidimensional phenomenon that is better quantified by various measures. Keywords: Urban Sprawl, Sprawl Indices, Land Use, Growth Management Policy 1 1. Introduction During the past two decades urban sprawl has become a subject of particular interest among planners and policy-makers. Critics of sprawl all over the world are concerned by its many alleged negative impacts, such as lack of scale economies, which reduces the level of public services in the suburbs and weakens the economic base of central cities; increased energy consumption through encouraging the use of private vehicles, thereby causing traffic congestion and air pollution; and irreversible damage to ecosystems, caused by scattered and fragmented urban development in open lands (Ewing 1997; Burchell et al., 1998; Downs, 1998; Brueckner, 2000; Johnson, 2001). -
Regulating Urban Densification: What Factors Should Be Used? Buildings and Cities, 2(1), Pp
Regulating urban SPECIAL COLLECTION: densification: what factors URBAN DENSIFICATION should be used? EDITORIAL JACQUES TELLER HIGHLIGHTS CORRESPONDING AUTHOR: Jacques Teller Urban densification is increasingly accepted as a necessity and is important for no-net Department of Urban and land take. Densification occurs in many places, especially fast-growing cities with a Environmental Engineering, combination of demographic change, economic pressure and large transport infrastructure University of Liège, Liege, projects. The costs and benefits of density require a nuanced understanding: potential Belgium direct, indirect and cumulative effects (environmental, economic and social), both on- [email protected] and off-site. The optimisation of densities implies a need to identify the conditions that can create the most value for the city, specify the places most appropriate for future inhabitants and activities, and promote spatial justice. The papers published in this special KEYWORDS: issue converge in depicting urban densification as a complex, nonlinear process, which affordable housing; cities; has to be addressed at various scales. Multifactorial metrics of density are superior to density; land take; land aggregated ones because they offer a better understanding of the urban forms and how use; social practices; urban densification; urban planning they are experienced by inhabitants and users. Both hard and soft densification have to be duly monitored and regulated if cities are to avoid overcrowding of places and buildings, which can be detrimental to urban resilience. The relation between urban densification TO CITE THIS ARTICLE: Teller, J. (2021). Regulating and housing affordability is a critical factor that policymakers must address. urban densification: what factors should be used? Buildings and Cities, 2(1), pp. -
Comparison of Hydrologic Model Performance Statistics Using Rain Gauge and NEXRAD Precipitation Input at Different Watershed
Proceedings Comparison of Hydrologic Model Performance Statistics Using Rain Gauge and NEXRAD Precipitation Input at Different Watershed Spatial Scales and Rainfall Return Frequencies for the Upper St. Johns River, Florida USA † Amanda Bredesen 1 and Christopher J. Brown 2,* 1 U.S. Army Corps of Engineers, Jacksonville, District, Jacksonville, FL 32224, USA; [email protected] 2 School of Engineering, University of North Florida, Jacksonville, FL 32224, USA * Correspondence: [email protected]; Tel.: +1-904-620-2811 † Presented at the 3rd International Electronic Conference on Water Sciences, 15–30 November 2018; Available online: https://ecws-3.sciforum.net. Published: 15 November 2018 Abstract: Water resources numerical models are dependent upon various input hydrologic field data. As models become increasingly complex and model simulation times expand, it is critical to understand the inherent value in using different input datasets available. One important category of model input is precipitation data. For hydrologic models, the precipitation data inputs are perhaps the most critical. Common precipitation model input includes either rain gauge or remotely-sensed data such next-generation radar-based (NEXRAD) data. NEXRAD data provides a higher level of spatial resolution than point rain gauge coverage, but is subject to more extensive data pre and post processing along with additional computational requirements. This study first documents the development and initial calibration of a HEC-HMS model of a subtropical watershed in the Upper St. Johns River Basin in Florida, USA. Then, the study compares calibration performance of the same HEC-HMS model using either rain gauge or NEXRAD precipitation inputs. The results are further discretized by comparing key calibration statistics such as Nash– Sutcliffe Efficiency for different spatial scale and at different rainfall return frequencies. -
Promoting Physical Activity and Active Living in Urban Environments
PROMOTING PHYSICAL ACTIVITY AND ACTIVE LIVING IN URBAN ENVIRONMENTS LIVINGINURBANENVIRONMENTS ANDACTIVE ACTIVITY PHYSICAL PROMOTING The WHO Regional Offi ce for Europe THE SOLID The World Health Organization (WHO) is FACTS a specialized agency of the United Nations created in 1948 with the primary responsibility for international health People’s participation in physical activity is infl uenced by the built, natural matters and public and social environments in which people live as well as by personal health. The WHO Regional Offi ce for factors such as sex, age, ability, time and motivation. The way people Europe is one of six regional offi ces organize cities, design the urban environment and provide access to the throughout the world, each with its own natural environment can be an encouragement or a barrier to physical programme geared to the particular health activity and active living. Other barriers exist in the social environments conditions of the within which people work, learn, play and live. countries it serves. Physical activity is an essential component of any strategy that aims to Member States address the problems of sedentary living and obesity among children and Albania adults. Active living contributes to individual physical and mental health Andorra Armenia but also to social cohesion and community well-being. Opportunities for Austria being physically active are not limited to sports and organized recreation; Azerbaijan Belarus opportunities exist everywhere – where people live and work, in Belgium Bosnia and Herzegovina neighbourhoods and in educational and health establishments. Bulgaria Croatia Cyprus The Healthy Cities and urban governance programme of the WHO Czech Republic Denmark Regional Offi ce for Europe has focused on how local governments can Estonia Finland implement healthy urban planning to generate environments that France promote opportunities for physical activity and active living. -
Urban Density and Covid-19
ISSN 2042-2695 CEP Discussion Paper No 1711 August 2020 Urban Density and Covid-19 Felipe Carozzi Sandro Provenzano Sefi Roth Abstract This paper estimates the link between population density and COVID-19 spread and severity in the contiguous United States. To overcome confounding factors, we use two Instrumental Variable (IV) strategies that exploit geological features and historical populations to induce exogenous variation in population density without affecting COVID-19 cases and deaths directly. We find that density has affected the timing of the outbreak, with denser locations more likely to have an early outbreak. However, we find no evidence that population density is positively associated with time-adjusted COVID-19 cases and deaths. Using data from Google, Facebook, the US Census and The County Health Rankings and Roadmaps program, we also investigate several possible mechanisms for our findings. We show that population density can affect the timing of outbreaks through higher connectedness of denser locations. Furthermore, we find that population density is positively associated with proxies for social distancing measures, access to healthcare and income, highlighting the importance of these mediating factors in containing the outbreak. Key words: Covid-19, density, congestion forces JEL Codes: I12; R12 This paper was produced as part of the Centre’s Urban and Spatial Programme. The Centre for Economic Performance is financed by the Economic and Social Research Council. We would like to thank Gabriel Ahlfeldt, Steve Gibbons and Henry Overman for useful com- ments and suggestions. The work by Provenzano was supported by the Economic and Social Research Council [grant number: ES/P000622/1]. -
Smart Growth, Smart City and Density: in Search of the Appropriate Indicator for Residential Density in Indonesia
Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Sciences 227 ( 2016 ) 194 – 201 CITIES 2015 International Conference, Intelligent Planning Towards Smart Cities, CITIES 2015, 3-4 November 2015, Surabaya, Indonesia Smart growth, smart city and density: in search of the appropriate indicator for residential density in Indonesia Retno Susantia, Sugiono Soetomoa, Imam Buchoria, PM.Brotosunaryoa* aDiponegoro University, Prof.Sudarto Street Tembalang, Semarang 50275, Indonesia Abstract Smart growth is one of the efforts of controlling the natural resources consumption. Smart City aims to create a high quality of life. The primary element of the city-forming is the built-space density. House grew sporadically, creating the land and building size characters. Similarly, the nature of resident's social, cultural and economic. A housing density indicator that comes from the physical and non-physical nature of residents is considered necessary. The indicators of residential density are compared. Then, it will set up indicators that best fits the character of housing in Indonesia to reach smart growth and smart city. © 2016 Published The Authors. by Elsevier Published Ltd. byThis Elsevier is an open Ltd. access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the organizing committee of CITIES 2015. Peer-review under responsibility of the organizing committee of CITIES 2015 Keywords: smart growth; smart city; residential density 1. Introduction 1.1. Definition of Smart Growth and Smart Cities At this time, research on Smart Growth and Smart Cities increasingly arranged. At the same time as physical development in the world’s cities, it’s very important to find the solution of the problems in urban areas. -
The Rising Value of Time and the Origin of Urban Gentrification
The Rising Value of Time and the Origin of Urban Gentrification Yichen Su Working Paper 1913 Research Department https://doi.org/10.24149/wp1913 Working papers from the Federal Reserve Bank of Dallas are preliminary drafts circulated for professional comment. The views in this paper are those of the authors and do not necessarily reflect the views of the Federal Reserve Bank of Dallas or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. The Rising Value of Time and the Origin of Urban Gentrification* Yichen Su† October 31, 2019 Abstract In recent decades, gentrification has transformed American central city neighborhoods. I estimate a spatial equilibrium model to show that the rising value of high-skilled workers’ time contributes to the gentrification of American central cities. I show that the increasing value of time raises the cost of commuting and exogenously increases the demand for central locations by high-skilled workers. While change in the value of time has a modest direct effect on gentrification of central cities, the effect is substantially magnified by endogenous amenity improvement driven by the changes in local skill mix. Keywords: Gentrification, Value of time, Amenities, Central cities JEL codes: J22, R13, J24 *I thank my advisors Luigi Pistaferri, Caroline Hoxby, and Rebecca Diamond for their guidance and support. I also thank Ran Abramitzky, Yiwei Chen, Jessie Handbury, Eran Hoffmann, Sitian Liu, Isaac Sorkin, Yu Zheng, and participants at Stanford Labor and Public workshop, Stanford Applied Economics workshop, Stata Texas conference, UEA conference, AREUEA conference, System Applied-Micro conference at SF Fed.