Dimantha I De Silva (corresponding), HBA Specto Incorporated
|
|
- Solomon Norris
- 6 years ago
- Views:
Transcription
1 Paper Author (s) Dimantha I De Silva (corresponding), HBA Specto Incorporated (dds@hbaspecto.com) Daniel Flyte, San Diego Association of Governments (SANDAG) (Daniel.Flyte@sandag.org) Matthew Keating, San Diego Association of Governments (SANDAG) (Matthew.Keating@sandag.org) John Douglas Hunt, University of Calgary, Canada (jdhunt@ucalgary.ca) John E. Abraham, HBA Specto Incorporated (jea@hbaspecto.com) Paper Title & Number Investigating Land Use Regulation and Transportation Policy with San Diego PECAS Model [ITM # 63] Abstract PECAS Model of the San Diego Region has been developed for the San Diego Association of Governments (SANDAG). This model includes representation of the spatial economic interactions among 103 categories of industrial and institutional activities involving 83 types of commodity, labor and building space and using 236 land use zones. It is integrated with a four-step transportation demand model considering WW flows of trips. The full integrated model setup provides a simulation of the evolution of the economy of the San Diego Region to the year 2050 in one-year steps. The period from 2005 to 2012 has been used for model calibration and the period beyond 2014 is now considered for policy analysis and forecasting. Developer actions in the modification of building space are simulated on each parcel in each year of the simulation in response to expected space prices and taking account of available construction capacities. The San Diego PECAS Model is being used in the official Regional Transportation Plan (RTP) process by SANDAG which means it is part of the formal planning and evaluation activities of the Region. This has made it necessary to include constraints on numbers of residential units by type in locations in the model based on growth patterns negotiated with local governments. As part of the ongoing model development process, four alternative policy scenarios have been considered: Constrained Dwellings; Transport Cost Increase; Development Fee Reduction and High Transit. The results of these scenarios together with the reference case provide indications of the realism and usefulness of the San Diego PECAS Model and its outputs in the context of planning in the San Diego Region. In particular, the model shows the large negative influence of the negotiated dwelling constraints on the well-being of San Diego, when compared with the scenarios where development is only restricted by published zoning regulations. Statement of Financial Interest Some of the authors of the paper are employed by (and/or indirect shareholders of) HBA Specto Incorporated, and HBA Specto may be able to expand its consulting business if other agencies pursue land use models similar to the one described in this brief. Note, however, that the PECAS software framework for land use modelling was provided to SANDAG under a generous and permissive open-
2 source license (the Apache License, Version 2.0) that allows redistribution. Thus, although HBA Specto is currently the primary distributor of PECAS, the financial interest is limited to the ability of the brief s authors (as individuals and as corporations) to pursue further work (as employees or consultants) in similar projects. Statement of Innovation The San Diego PECAS model is a completed new type of land use model, being applied in a Regional Transportation Planning context. The application of the San Diego model for forecasting in a region with multiple levels of planning agencies, including local governments, has shown the practicality of using such a land use model, and some of the difficulties and opportunities associated with using such a land use model. The use of a modern spatial economic and parcel simulation model in RTP and conformity forecasting is, in itself, novel and innovative. However there are two important additional findings that are particularly important and innovative: 1) The model exposed a substantial disconnect between negotiated capacity values for the maximum development of each parcel and the legally binding maximum density values in the published zoning regulations. When the model was constructed to only respect the density maximums in published regulations, the model produced growth in certain areas contrary to the negotiated vision for San Diego. This led to concerns regarding the future growth of patterns in the region, criticism of the model for not respecting the vision, a re-evaluation of the historical and ongoing process for negotiating capacity on each parcel, and a further evaluation of published zoning regulations. 2) When the capacity values were added to the modelling framework, the consumer surplus calculations were much lower. The model suggests that restricting development through negotiation will have a large negative impact on the region, far larger than the impact of transportation policy.
3 Investigating Land Use Regulation and Transportation Policy with San Diego PECAS Model By Dimantha I De Silva Transportation Engineer, HBA Specto Incorporated Suite th Ave SW Calgary AB Canada T2P3P4 dds@hbaspecto.com, +1 (403) Daniel Flyte Regional Models Analyst, San Diego Association of Governments (SANDAG) 401 B St, Suite 800, San Diego, CA, USA, Daniel.Flyte@sandag.org, +1 (619) Matthew Keating Regional Models Analyst, San Diego Association of Governments (SANDAG) 401 B St, Suite 800, San Diego, CA, USA, Matthew.Keating@sandag.org, +1 (619) J D Hunt Professor, Department of Civil Engineering University of Calgary, 2500 University Dr NW Calgary AB Canada T2N1N4 jdhunt@ucalgary.ca, +1 (403) John E Abraham HBA Specto Incorporated Suite th Ave SW Calgary AB Canada T2P3P4 jea@hbaspecto.com, +1 (403)
4 INTRODUCTION AND OBJECTIVES In an effort to modernize its land use and transportation modeling system and adopt a more economically-grounded sub-regional forecast, SANDAG has developed the Production, Exchange, Consumption Allocation System (PECAS). This model includes representation of the spatial economic interactions among 103 categories of industrial and institutional activities involving 83 types of commodity, labor and building space and using 236 land use zones. It has been integrated with the existing transportation demand modeling system to simulate and analyze policy, and develop forecast policy alternatives. PECAS is a spatial economic Computable General Equilibrium (CGE) modeling system, and predicts the prices and spatial flows of labor and commodities throughout the economy, from production and consumption end-points. Commodity transport costs and accessibilities are treated explicitly throughout, influencing the buying and selling locations for each commodity. The rents associated with the demand for space influence developers and land-owners in a parcel-by-parcel micro-simulation of land cover change. Other factors influencing developers include construction costs, existing space (type, intensity and age), zoning regulations, and site-specific variables from GIS layers, including short-distance location amenities. SANDAG began development of PECAS in 2007, in a migration from its predecessor modeling system, the Urban Development Model (UDM). UDM is a derivation of the DRAM/EMPAL modeling system, and has served SANDAG for over 20 years as its sub-regional allocation model. UDM allocates jobs and housing based on local jurisdictions plans and policies for employment and housing capacity (Smith, Tayman, and Swanson, 2001). It uses what are referred to as access weights, a measure of the jobs and housing within a short proximity of a parcel, to influence which parcels are developed first. As it respects local plans for jobs and housing, UDM has served as a valuable planning tool for small area forecasts. However, the San Diego region is largely developed very close to the capacity its local plans allow for. As such, the bulk of San Diego s future housing growth must come from redevelopment and infill, with a much greater share from multi-family housing. Determining the location and phasing of this type of development requires much broader local policy input and economic analysis than UDM offers, which is more suitable for analyzing the phasing of
5 greenfield development. Furthermore, SANDAG saw substantial benefit to a developing a smallarea forecasting model built around a spatial input-output model framework. As a policy analysis tool, this provides greater insight into why location choices and technology choices of households and industries are made. Upon completion of the major PECAS development activities in late 2012, SANDAG wished to test a series of potential land use and transportation policy scenarios for sensitivity analysis of the modeling system. METHODOLOGY PECAS consists of two modules, the Activity Allocation (AA) module and the Space Development (SD) Module. The AA module allocates the economic agents into zones and solves the economic system with businesses and households choosing to live in buildings that are wellplaced with regard to their interactions (exchanges) with other businesses and households. Transportation costs and dis-utilities are represented, which would encourage everyone to locate close to each other, but since everybody cannot all live and produce in the same building, competition for location leads to rents (in what s called a bid rent allocation) and households and businesses trade off the travel costs for their interactions against favorable locations and advantageous rents. The SD module is responsible for evolving the building stock (the supply of space ) over time by representing the choices made by developers regarding construction (including renovation and demolition). Developers would like to construct buildings for tenants where the rents are high and the construction costs are low. The SD module is a micro-simulation of individual parcels, allowing it to consider site-specific variables, including zoning regulations, physical geography affecting construction costs (slope, soil, servicing), and site attractiveness for different uses. The SD module was constructed with a detailed assessment of zoning regulations. SANDAG staff reviewed published regulations regarding development, to determine the types and intensities of space that would be allowed and prohibited on each parcel. In the ongoing regional 3
6 planning process, SANDAG also works together with the individual municipalities, asking them to discuss and then indicate the maximum number of dwellings that would be allowed on each parcel at full build out. These were aggregated in to the land use zones (LUZ) and called the Capacities. In many cases, the initial process to review the published zoning regulations indicated higher allowed densities (units per acre) than the regional planning discussions. The PECAS model was modified so that it could also respect the Capacity values from the interagency discussion/negotiation, for consistency with the historical and ongoing regional planning process. PECAS is connected to a travel demand model, so that the travel conditions between locations can be forecast. For example, congestion can arise if the AA module forecasts many interactions between places with limited transportation service and infrastructure. The AA and SD module are run each year, with AA determining rents for SD and SD determining quantities of space for next year s AA module. The travel demand model is run less often (every fifth year in the SANDAG PECAS model), determining transportation demands from the locations in the most recent run of the AA module and calculating equilibrium transportation conditions which feedback into the next years of AA. PECAS has been operationalized in open-source software, and has been further described in various papers and reports. (Hunt and Abraham, 2005). Five scenarios are defined to analyze the sensitivities of the model: s21: The base case scenario which includes the household Capacities by each LUZ s22: Base scenario without the household LUZ Capacities. s23: No household LUZ Capacities and private vehicle operating cost increase by 3 times in the travel model. s24: No household LUZ Capacities and development fees removed in PECAS model. s25: No household LUZ Capacities and transit frequency increased by 3 times in travel model 4
7 MAJOR RESULTS Figure 1 shows the daily vehicle miles traveled (left side) and transit use (right side) under each of the five scenarios. The time steps represent the year in which the travel model is run and show the results from interaction between the PECAS model and the travel model. All alternative scenarios compared to the base s21 scenario have decreases in VMT. The biggest impact is from increasing the private vehicle operating cost (s23); increasing the transit frequencies (s25) had a lesser impact. Lifting the capacity restraint on dwellings has a similar impact on VMT as increasing the transit frequencies, as people have more freedom to change their location, and choose to live in a more efficient pattern. (S21) (S22) (S23) (S24) (S25) Figure 1: Daily Vehicle miles traveled and Transit use in Peak Period There is a similar trend in change in transit use from 2015 to 2035 for each scenario. The highest increase in transit use is by penalizing the use of private car as compared to increasing the service of transit. The land use policy change of lifting the household capacities have impacted both the daily vehicle miles traveled as well as the transit use. This shows the interaction between PECAS and the travel model working as expected where an impact on PECAS model has influenced change in travel in the travel model. When households are allowed to locate without capacity restrictions both daily vehicle miles traveled and transit use decrease as compared to the base case. 5
8 Figure 2 shows the change in location for two household types between s22 and s21. Each green dot represents an increase of 15 households (i.e. more households in the scenario without Capacity) while a red dot denotes a decrease in 15 households (i.e. more households in the scenario with the Capacities). The pattern is different for higher income (hh150plus-3plus, left side of Figure 2) and lower income (hh25_3plus, right side of Figure 2) household categories. Higher income households are being allowed to live in the most desirable coastal communities by the literal interpretation of the intensity and type restrictions in the legal zoning regulations, but forced to live in less desirable inland areas by the Capacities. Lower income households have a more complex pattern, for instance, they are allowed to congregate in the city center location (near the ocean and many jobs) when the Capacities are removed but cannot afford the most attractive coastal areas north west of the city center. Figure 2 Change in household location between s22 and s21, for high income and low income households with 3+ household members. 6
9 The model is based on spatial economics, with a consistent random utility treatment of locations of interactions, technology/lifestyle and location, for industry and household categories (Abraham and Hunt, 2007). As a result, consumer surplus/ producer surplus benefit measures can be calculated for policies by calculating the differences between two scenarios. Figure 3 shows the change in consumer surplus for high-income households with 3+ household members, comparing each scenario to the scenario S21, the base scenario with the Capacities. The figure shows that increasing vehicle operating costs by a factor of three decreases the attractiveness of the San Diego region to households in this category by a factor of about $1600 per year (the distance between the red line and the other lines in 2035), while the removal of the Capacities has a much larger impact, over $10,000 benefit per year per household by Figure 3: Change in consumer surplus for high income and low income households with 3+ household members. IMPLICATIONS FOR TRAVEL MODELING The PECAS spatial economic model for San Diego has been developed for spatial planning and forecasting by the San Diego Association of Governments. The model was developed over a few years in increments, with improvements made each year to add to the model s detail, accuracy, 7
10 fidelity and usefulness. The model is forecasting spatial patterns of growth, calculating economic impacts of policies, and allocating households and jobs to locations over time in response to transportation conditions, transportation policy, and land regulation policy. The comparison of different scenarios, with different policies, shows the impact of policies. In particular, these scenarios showed the very large impact that the consensus/negotiated dwelling unit capacity by zone have on the attractiveness of San Diego and the travel behavior of the residents. The model is showing that San Diego would be more attractive, and more efficient (operate with less total VMT travel) if development was allowed to occur according to a strict interpretation of the intensity and type restrictions in the written zoning regulations. Transport policy (in particular transit funding, and vehicle operating charges) have the expected effect on the future forecast, and have a large effect on travel behavior, but have a much smaller overall effect on the well-being of the region than the zoning regulation policy. The model is a useful tool for bringing land use interactions and impacts into the travel forecasting and planning process. For example, comparing s22 through s25 with each other allows specific policies of future development impact fees to be compared with transportation policy regarding transit frequency and automobile operating costs. This model with its direct representation of developer behavior in the regional situation also identified potential greater opportunities for pursuing economic well-being and regional attractiveness. In the San Diego context, the model was useful in identifying and forcing the discussion of a sensitive issue where the land use restrictions reported and negotiated in the long-term planning process are more restrictive than the building type and coverage (floor area ratio) restrictions in published legal definitions in the zoning regulations, and the region is forecasted to be better off economically if developers only had to respect those elements of the published zoning regulations. The model has allowed SANDAG to develop a regional transportation plan in which land use patterns are consistently forecasted alongside transportation demand patterns. The model has also led to more consideration and investigation of zoning regulations and the other mechanisms under policy control that discourage or encourage development in certain areas of the region. 8
11 REFERENCES Hunt, J. D., and J. E. Abraham. Design and implementation of PECAS: A generalized system for the allocation of economic production, exchange and consumption quantities, in Integrated Land- Use and Transportation Models: Behavioural Foundations, M. Lee. Gosselin and S. Doherty, Eds. Elsevier, Amsterdam, 2005, pp Abraham, J. E., and J. D. Hunt. Random Utility Location, Production and Exchange Choice: Additive Logit Model and Spatial Choice Microsimulations. In Transportation Research Record: Journal of the Transportation Research Board, Vol. 2003, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp Hunt, J. D., Abraham, J. E., De Silva D., Zhong M., Bridges J. & Mysko J. (2007). Microsimulating Space Development in Baltimore. Paper for the 12th Internation Conference of the Hong Kong Society for Transportatino Studies. Hong Kong. Smith, S. K., J. Tayman and D. A. Swanson (2001), State and Local Population Projections: Methodology and Analysis, Kluwer Academic/Plenum Publishers, New York. 9
Advancing Urban Models in the 21 st Century. Jeff Tayman Lecturer, Dept. of Economics University of California, San Diego
Advancing Urban Models in the 21 st Century Jeff Tayman Lecturer, Dept. of Economics University of California, San Diego 1 Regional Decision System Better tools Better data Better access Better Decisions
More informationChanges in the Spatial Distribution of Mobile Source Emissions due to the Interactions between Land-use and Regional Transportation Systems
Changes in the Spatial Distribution of Mobile Source Emissions due to the Interactions between Land-use and Regional Transportation Systems A Framework for Analysis Urban Transportation Center University
More informationLand Use Modeling at ABAG. Mike Reilly October 3, 2011
Land Use Modeling at ABAG Mike Reilly michaelr@abag.ca.gov October 3, 2011 Overview What and Why Details Integration Use Visualization Questions What is a Land Use Model? Statistical relationships between
More informationSpatial profile of three South African cities
Spatial Outcomes Workshop South African Reserve Bank Conference Centre Pretoria September 29-30, 2009 Spatial profile of three South African cities by Alain Bertaud September 29 Email: duatreb@msn.com
More informationTHE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL. CTS Research Conference May 23, 2012
THE FUTURE OF FORECASTING AT METROPOLITAN COUNCIL CTS Research Conference May 23, 2012 Metropolitan Council forecasts Regional planning agency and MPO for Twin Cities metropolitan area Operates regional
More informationDate: March 31, 2014 PATE; fyril 2.3,2 >H
aj BRAMPTON fifs Rower City XH-l-f r.t "»* City Council The Corporation of the City of Brampton SRAMPTON CITY COUNCIL Date: March 31, 2014 PATE; fyril 2.3,2 >H File: POO GR VisWhtoJed ^t'th-meeh'^a Subject:
More informationSubject: Note on spatial issues in Urban South Africa From: Alain Bertaud Date: Oct 7, A. Spatial issues
Page 1 of 6 Subject: Note on spatial issues in Urban South Africa From: Alain Bertaud Date: Oct 7, 2009 A. Spatial issues 1. Spatial issues and the South African economy Spatial concentration of economic
More informationThe 3V Approach. Transforming the Urban Space through Transit Oriented Development. Gerald Ollivier Transport Cluster Leader World Bank Hub Singapore
Transforming the Urban Space through Transit Oriented Development The 3V Approach Gerald Ollivier Transport Cluster Leader World Bank Hub Singapore MDTF on Sustainable Urbanization The China-World Bank
More informationPECAS - for Spatial Economic Modelling
PECAS - for Spatial Economic Modelling Theoretical Formulation WORKING DRAFT Template Materials Providing Basic Descriptive Components JD Hunt and JE Abraham HBA Specto Incorporated Calgary, Alberta June
More information2014 Certification Review Regional Data & Modeling
2014 Certification Review Regional Data & Modeling July 22, 2014 Regional Data Census Program Coordination PAG works with and for member agencies to ensure full participation in all Census Bureau programs
More informationMPOs SB 375 LAFCOs SCAG Practices/Experiences And Future Collaborations with LAFCOs
Connecting LAFCOs and COGs for Mutual Benefits MPOs SB 375 LAFCOs SCAG Practices/Experiences And Future Collaborations with LAFCOs Frank Wen, Manager Research & Analysis Land Use & Environmental Planning
More informationHORIZON 2030: Land Use & Transportation November 2005
PROJECTS Land Use An important component of the Horizon transportation planning process involved reviewing the area s comprehensive land use plans to ensure consistency between them and the longrange transportation
More informationDifference in regional productivity and unbalance in regional growth
Difference in regional productivity and unbalance in regional growth Nino Javakhishvili-Larsen and Jie Zhang - CRT, Denmark, Presentation at 26 th International input-output conference in Brazil Aim of
More informationImpact of Metropolitan-level Built Environment on Travel Behavior
Impact of Metropolitan-level Built Environment on Travel Behavior Arefeh Nasri 1 and Lei Zhang 2,* 1. Graduate Research Assistant; 2. Assistant Professor (*Corresponding Author) Department of Civil and
More informationA Method for Mapping Settlement Area Boundaries in the Greater Golden Horseshoe
A Method for Mapping Settlement Area Boundaries in the Greater Golden Horseshoe Purpose This paper describes a method for mapping and measuring the lands designated for growth and urban expansion in the
More informationThe Attractive Side of Corpus Christi: A Study of the City s Downtown Economic Growth
The Attractive Side of Corpus Christi: A Study of the City s Downtown Economic Growth GISC PROJECT DR. LUCY HUANG SPRING 2012 DIONNE BRYANT Introduction Background As a GIS Intern working with the City
More informationFactors Affecting Human Settlement
Factors Affecting Human Settlement Physical Factors One of the most basic factors affecting settlement patterns is the physical geography of the land. Climate is key, because if a place is too dry, too
More informationPopulation and Employment Forecast
Population and Employment Forecast How Do We Get the Numbers? Thurston Regional Planning Council Technical Brief Updated July 2012 We plan for forecast growth in Population and Employment, but where do
More informationAppendixx C Travel Demand Model Development and Forecasting Lubbock Outer Route Study June 2014
Appendix C Travel Demand Model Development and Forecasting Lubbock Outer Route Study June 2014 CONTENTS List of Figures-... 3 List of Tables... 4 Introduction... 1 Application of the Lubbock Travel Demand
More informationRegional Growth Strategy Regional Staff Committee
Regional Growth Strategy Regional Staff Committee June 21, 2018 1 Overview Summary of June Growth Management Policy Board Regional Growth Strategy Objectives Regional Geographies Regional Growth Strategy
More informationVolume Title: Empirical Models of Urban Land Use: Suggestions on Research Objectives and Organization. Volume URL:
This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: Empirical Models of Urban Land Use: Suggestions on Research Objectives and Organization Volume
More informationGIS in Community & Regional Planning
GIS in Community & Regional Planning The The role role of of GIS GIS in in Re-writing the the Zoning Bylaw for for the the City City of of Vernon LandInfo Technologies Presentation Overview The GIS Initiative
More informationGuidelines on Using California Land Use/Transportation Planning Tools
Guidelines on Using California Land Use/Transportation Planning Tools 1. Selecting Ds Analysis Modules Appropriate to a Region In almost all cases, the appropriate Ds Analysis Module to use for analysis
More informationRegional Performance Measures
G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to
More informationEmployment Decentralization and Commuting in U.S. Metropolitan Areas. Symposium on the Work of Leon Moses
Employment Decentralization and Commuting in U.S. Metropolitan Areas Alex Anas Professor of Economics University at Buffalo Symposium on the Work of Leon Moses February 7, 2014 9:30-11:15am, and 2:30-4:30pm
More informationDecentralisation and its efficiency implications in suburban public transport
Decentralisation and its efficiency implications in suburban public transport Daniel Hörcher 1, Woubit Seifu 2, Bruno De Borger 2, and Daniel J. Graham 1 1 Imperial College London. South Kensington Campus,
More informationDevelopment of modal split modeling for Chennai
IJMTES International Journal of Modern Trends in Engineering and Science ISSN: 8- Development of modal split modeling for Chennai Mr.S.Loganayagan Dr.G.Umadevi (Department of Civil Engineering, Bannari
More informationComparisons from the Sacramento Model Testbed Paper # INTRODUCTION MODEL DESCRIPTIONS
Comparisons from the Sacramento Model Testbed Paper #01-3000 JD Hunt, RA Johnston, JE Abraham, CJ Rodier, G Garry, SH Putman and T de la Barra Three land use and transport interaction models were applied
More informationRegional Performance Measures
G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to
More informationEconomic consequences of floods: impacts in urban areas
Economic consequences of floods: impacts in urban areas SWITCH Paris Conference Paris, 24 th 26 th January 2011 Economic consequences of floods: impacts in urban areas Institutions: Authors Vanessa Cançado
More informationPlan-Making Methods AICP EXAM REVIEW. February 11-12, 2011 Georgia Tech Student Center
Plan-Making Methods AICP EXAM REVIEW February 11-12, 2011 Georgia Tech Student Center Session Outline Introduction (5 min) A. Basic statistics concepts (5 min) B. Forecasting methods (5 min) C. Population
More informationThe Spatial Structure of Cities: International Examples of the Interaction of Government, Topography and Markets
Module 2: Spatial Analysis and Urban Land Planning The Spatial Structure of Cities: International Examples of the Interaction of Government, Topography and Markets Alain Bertaud Urbanist Summary What are
More informationStatistical-geospatial integration - The example of Sweden. Marie Haldorson Director, Statistics Sweden
Statistical-geospatial integration - The example of Sweden Marie Haldorson Director, Statistics Sweden Spatial data and geospatial applications at Statistics Sweden Long tradition GI integrated in production
More informationStanCOG Transportation Model Program. General Summary
StanCOG Transportation Model Program Adopted By the StanCOG Policy Board March 17, 2010 What are Transportation Models? General Summary Transportation Models are technical planning and decision support
More informationCities in Bad Shape: Urban Geometry in India
Cities in Bad Shape: Urban Geometry in India Mariaflavia Harari MIT IGC Cities Research Group Conference 21 May 2015 Introduction Why Study City Shape A wide range of factors determine intra-urban commuting
More informationLecture 19: Common property resources
Lecture 19: Common property resources Economics 336 Economics 336 (Toronto) Lecture 19: Common property resources 1 / 19 Introduction Common property resource: A resource for which no agent has full property
More informationUnderstanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan
Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan The Census data for China provides comprehensive demographic and business information
More informationSmart Growth: Threat to the Quality of Life. Experience
Smart Growth: Threat to the Quality of Life Presentation by Wendell Cox Wendell Cox Consultancy Visiting Professor Conservatoire National des Arts et Metiers Paris Frontier Centre for Public Policy Winnipeg
More informationThe Future of Met Council Forecasts
The Future of Met Council Forecasts Todd Graham todd.graham@metc.state.mn.us Dennis Farmer dennis.farmer@metc.state.mn.us Metropolitan Council Research Today s Agenda Why we forecast, how we use forecasts
More informationCapital, Institutions and Urban Growth Systems
Capital, Institutions and Urban Growth Systems Robert Huggins Centre for Economic Geography, School of Planning and Geography, Cardiff University Divergent Cities Conference, University of Cambridge, Cambridge
More informationI. M. Schoeman North West University, South Africa. Abstract
Urban Transport XX 607 Land use and transportation integration within the greater area of the North West University (Potchefstroom Campus), South Africa: problems, prospects and solutions I. M. Schoeman
More informationEconomic Benefit Study on Value of Spatial Information Australian Experience
Economic Benefit Study on Value of Spatial Information Australian Experience Dr Zaffar Sadiq Mohamed-Ghouse Director, International Relations Cooperative Research Centre for Spatial Information zsadiq@crcsi.com.au
More informationSPIMA Spatial dynamics and strategic planning in metropolitan areas
Targeted Analysis SPIMA Spatial dynamics and strategic planning in metropolitan areas Executive Summary Conference version 1 February 2018 0 1. Background To address the challenges of metropolitan development
More informationCERTIFIED RESOLUTION. introduction: and dated May 29, 2017, as attached, as appropriate
15322 Buena Vista Avenue, White Rock BC, Canada V4B 1Y6 www.whiterockcity.ca City of White Rock P: 604.541.22121 F: 604.541.9348 /2tC% City Clerk s Office IT E ROC K June 13,2017 Stephanie Lam, Deputy
More information2040 MTP and CTP Socioeconomic Data
SE Data 6-1 24 MTP and CTP Socioeconomic Data Purpose of Socioeconomic Data The socioeconomic data (SE Data) shows the location of the population and employment, median household income and other demographic
More informationLand Use Planning and Agriculture: Austrian Experiences and Challenges I
Land Use Planning and Agriculture: Austrian Experiences and Challenges I SULANET Summer School 2016 Walter Seher BOKU Vienna 1 Land Use Planning and Agriculture 2 Land Use Planning and Agriculture Agriculture
More informationTransit Market Index. Validating Local Potential for Transit Ridership
Transit Market Index Validating Local Potential for Transit Ridership Transit Market Areas Characteristics 2010 TPP Characterized by different levels of transit service. Core Areas, 1 & 2: A variety of
More informationModern Urban and Regional Economics
Modern Urban and Regional Economics SECOND EDITION Philip McCann OXFORD UNIVERSITY PRESS Contents List of figures List of tables Introduction xii xiv xvii Part I Urban and Regional Economic Models and
More informationData Collection. Lecture Notes in Transportation Systems Engineering. Prof. Tom V. Mathew. 1 Overview 1
Data Collection Lecture Notes in Transportation Systems Engineering Prof. Tom V. Mathew Contents 1 Overview 1 2 Survey design 2 2.1 Information needed................................. 2 2.2 Study area.....................................
More informationPRIMA. Planning for Retailing in Metropolitan Areas
PRIMA Planning for Retailing in Metropolitan Areas Metropolitan Dimension to sustainable retailing futures Metropolitan strategies Retailing in city and town centres will be a primary component of any
More informationGeospatial Analysis of Job-Housing Mismatch Using ArcGIS and Python
Geospatial Analysis of Job-Housing Mismatch Using ArcGIS and Python 2016 ESRI User Conference June 29, 2016 San Diego, CA Jung Seo, Frank Wen, Simon Choi and Tom Vo, Research & Analysis Southern California
More informationThe effects of impact fees on urban form and congestion in Florida
The effects of impact fees on urban form and congestion in Florida Principal Investigators: Andres G. Blanco Ruth Steiner Presenters: Hyungchul Chung Jeongseob Kim Urban and Regional Planning Contents
More informationOverview of Improved Data and Tools for Integrated Land Use-Transportation Planning in California Caltrans Planning Horizons program November 7, 2012
Overview of Improved Data and Tools for Integrated Land Use-Transportation Planning in California Caltrans Planning Horizons program November 7, 2012 Presentation Outline Part 1. Overview - Terry Parker,
More informationDate: June 19, 2013 Meeting Date: July 5, Consideration of the City of Vancouver s Regional Context Statement
Section E 1.5 To: From: Regional Planning and Agriculture Committee Lee-Ann Garnett, Senior Regional Planner Planning, Policy and Environment Department Date: June 19, 2013 Meeting Date: July 5, 2013 Subject:
More information6 th GLOBAL SUMMIT ON URBAN TOURISM 4 6 December 2017, Kuala Lumpur (Malaysia)
6 th GLOBAL SUMMIT ON URBAN TOURISM 4 6 December 2017, Kuala Lumpur (Malaysia) SUMMARY/CONCLUSIONS Esencan TERZIBASOGLU Director Destination Management and Quality eterzibasoglu@unwto.org 6TH GLOBAL SUMMIT
More informationMOR CO Analysis of future residential and mobility costs for private households in Munich Region
MOR CO Analysis of future residential and mobility costs for private households in Munich Region The amount of the household budget spent on mobility is rising dramatically. While residential costs can
More informationSpatial and Socioeconomic Analysis of Commuting Patterns in Southern California Using LODES, CTPP, and ACS PUMS
Spatial and Socioeconomic Analysis of Commuting Patterns in Southern California Using LODES, CTPP, and ACS PUMS Census for Transportation Planning Subcommittee meeting TRB 95th Annual Meeting January 11,
More informationCombining Three Modelling and Visualization Tools for Collaborative Planning of Urban Transformation
152 Combining Three Modelling and Visualization Tools for Collaborative Planning of Urban Transformation Ulrike WISSEN HAYEK 1, Noemi NEUENSCHWANDER 1, Timo VON WIRTH 2, Antje KUNZE 3, Jan HALATSCH 3,
More informationIntroduction and Project Overview
Greater New Orleans Regional Land Use Modeling GIS Techniques in a P olitical C ontext Louisiana Remote Sensing and GIS Workshop Wednesday, April 24, 2013 Working Towards a Shared Regional Vision Introduction
More informationContent Area: Social Studies Standard: 1. History Prepared Graduates: Develop an understanding of how people view, construct, and interpret history
Standard: 1. History Develop an understanding of how people view, construct, and interpret history 1. Organize and sequence events to understand the concepts of chronology and cause and effect in the history
More informationMOBILITIES AND LONG TERM LOCATION CHOICES IN BELGIUM MOBLOC
MOBILITIES AND LONG TERM LOCATION CHOICES IN BELGIUM MOBLOC A. BAHRI, T. EGGERICKX, S. CARPENTIER, S. KLEIN, PH. GERBER X. PAULY, F. WALLE, PH. TOINT, E. CORNELIS SCIENCE FOR A SUSTAINABLE DEVELOPMENT
More informationA Micro-Analysis of Accessibility and Travel Behavior of a Small Sized Indian City: A Case Study of Agartala
A Micro-Analysis of Accessibility and Travel Behavior of a Small Sized Indian City: A Case Study of Agartala Moumita Saha #1, ParthaPratim Sarkar #2,Joyanta Pal #3 #1 Ex-Post graduate student, Department
More informationSimulating Mobility in Cities: A System Dynamics Approach to Explore Feedback Structures in Transportation Modelling
Simulating Mobility in Cities: A System Dynamics Approach to Explore Feedback Structures in Transportation Modelling Dipl.-Ing. Alexander Moser [amoser@student.tugraz.at] IVT Tagung 2013 - Kloster Kappel
More informationEconomics 312: Urban Land Economics University of Victoria Midterm Examination #1 VERSION 1 SOLUTIONS Spring 2018 Instructor: Martin Farnham
Economics 312: Urban Land Economics University of Victoria Midterm Examination #1 VERSION 1 SOLUTIONS Spring 2018 Instructor: Martin Farnham Midterm Exam #1 Section 1: Multiple Choice (2 points each) Unless
More informationNew Frameworks for Urban Sustainability Assessments: Linking Complexity, Information and Policy
New Frameworks for Urban Sustainability Assessments: Linking Complexity, Information and Policy Moira L. Zellner 1, Thomas L. Theis 2 1 University of Illinois at Chicago, Urban Planning and Policy Program
More informationPIBC Annual Conference, 2016
Land Use Quantified PIBC Annual Conference, 2016 A collaboration between: Christy & Associated Planning Consultants The Sustainable Transportation Partnership of the Central Okanagan Hazel Christy Rafael
More informationWhen is the concept of generalized transport costs useless? The effects of the change in the value of time
Urban Transport XIV 629 When is the concept of generalized transport costs useless? The effects of the change in the value of time T. Kono, H. Morisugi 2 & A. Kishi 3 Graduate School of Engineering, Tohoku
More informationEconomic Activity Economic A ctivity
5 Economic Economic Activity Activity ECONOMIC ACTIVITY 5.1 EMPLOYMENT... 5-7 5.1.1 OBJECTIVE... 5-7 5.1.2 POLICIES... 5-7 5.2 PROTECTING THE AREA OF EMPLOYMENT... 5-9 5.2.1 OBJECTIVE... 5-9 5.2.2 POLICIES...
More informationTackling urban sprawl: towards a compact model of cities? David Ludlow University of the West of England (UWE) 19 June 2014
Tackling urban sprawl: towards a compact model of cities? David Ludlow University of the West of England (UWE) 19 June 2014 Impacts on Natural & Protected Areas why sprawl matters? Sprawl creates environmental,
More informationADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS
ADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS Activities from the National Capital Region Transportation Planning Board Sergio Ritacco Transportation Planner 2017 Association
More informationCommittee Meeting November 6, 2018
Committee Meeting November 6, 2018 Agenda Where we are in the process Land Use Plan Transportation Element Housing & Neighborhoods Elements Next Steps Schedule November 6: Plan Elements December: Plan
More informationShall we Dense?: Policy Potentials. Summary. Simon McPherson Director SJB Urban Australia au
Shall we dense? Shall we Dense?: Policy Potentials Simon McPherson Director SJB Urban Australia smcpherson@sjb.com. au Adam Haddow Director SJB Architects Australia ahaddow@sjb.com.au Summary This paper
More informationThe Journal of Database Marketing, Vol. 6, No. 3, 1999, pp Retail Trade Area Analysis: Concepts and New Approaches
Retail Trade Area Analysis: Concepts and New Approaches By Donald B. Segal Spatial Insights, Inc. 4938 Hampden Lane, PMB 338 Bethesda, MD 20814 Abstract: The process of estimating or measuring store trade
More informationEast Bay BRT. Planning for Bus Rapid Transit
East Bay BRT Planning for Bus Rapid Transit Regional Vision Draper Prison The Bottleneck is a State-Level issue, Salt Lake County 2050 Population: 1.5M Draper Prison hopefully with some State-Level funding!
More informationLocal Area Key Issues Paper No. 13: Southern Hinterland townships growth opportunities
Draft Sunshine Coast Planning Scheme Review of Submissions Local Area Key Issues Paper No. 13: Southern Hinterland townships growth opportunities Key Issue: Growth opportunities for Southern Hinterland
More informationUSER PARTICIPATION IN HOUSING REGENERATION PROJECTS
USER PARTICIPATION IN HOUSING REGENERATION PROJECTS Dr. Hatice Sadıkoğlu Bahçeşehir University, Faculty of Architecture and Design Prof. Dr. Ahsen Özsoy Istanbul Technical University, Faculty of Architecture
More informationWasatch Front Region Small Area Socioeconomic Forecasts: Technical Report #49
Regional Transportation Plan: 2011-2040 Appendix A APPENDIX A Wasatch Front Region Small Area Socioeconomic Forecasts: 2007-2040 Technical Report #49 July, 2010 295 N. Jimmy Doolittle Road Salt Lake City,
More informationBROOKINGS May
Appendix 1. Technical Methodology This study combines detailed data on transit systems, demographics, and employment to determine the accessibility of jobs via transit within and across the country s 100
More informationOpportunities and challenges of HCMC in the process of development
Opportunities and challenges of HCMC in the process of development Lê Văn Thành HIDS HCMC, Sept. 16-17, 2009 Contents The city starting point Achievement and difficulties Development perspective and goals
More informationPlanning for Economic and Job Growth
Planning for Economic and Job Growth Mayors Innovation Project Winter 2012 Meeting January 21, 2012 Mary Kay Leonard Initiative for a Competitive Inner City AGENDA The Evolving Model for Urban Economic
More informationThe Built Environment, Car Ownership, and Travel Behavior in Seoul
The Built Environment, Car Ownership, and Travel Behavior in Seoul Sang-Kyu Cho, Ph D. Candidate So-Ra Baek, Master Course Student Seoul National University Abstract Although the idea of integrating land
More informationWasatch Front Region Small Area Socioeconomic Forecasts: Technical Report #49
Wasatch Front Region Small Area Socioeconomic Forecasts: 2007-2040 Technical Report #49 July, 2010 Wasatch Front Regional Council 295 N. Jimmy Doolittle Road Salt Lake City, UT 84116 P (801) 363-4250 F
More informationA Simplified Travel Demand Modeling Framework: in the Context of a Developing Country City
A Simplified Travel Demand Modeling Framework: in the Context of a Developing Country City Samiul Hasan Ph.D. student, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology,
More informationEconomic and Social Urban Indicators: A Spatial Decision Support System for Chicago Area Transportation Planning
Economic and Social Urban Indicators: A Spatial Decision Support System for Chicago Area Transportation Planning Piyushimita Thakuriah (Vonu), P.S. Sriraj, Paul Metaxatos, Inshu Minocha & Tanushri Swarup
More informationEXPLORING THE IMPACTS OF PUBLIC TRANSPORT ORIENTED LAND USE POLICIES, A CASE STUDY FOR THE ROTTERDAM AND THE HAGUE AREA
EXPLORING THE IMPACTS OF PUBLIC TRANSPORT ORIENTED LAND USE POLICIES, A CASE STUDY FOR THE ROTTERDAM AND THE HAGUE AREA Barry Zondag Significance zondag@significance.nl Eric Molenwijk Rijkswaterstaat -WVL
More informationGIS Analysis of Crenshaw/LAX Line
PDD 631 Geographic Information Systems for Public Policy, Planning & Development GIS Analysis of Crenshaw/LAX Line Biying Zhao 6679361256 Professor Barry Waite and Bonnie Shrewsbury May 12 th, 2015 Introduction
More informationHow GIS based Visualizations Support Land Use and Transportation Modeling
How GIS based Visualizations Support Land Use and Transportation Modeling ESRI International Users Conference San Diego, CA - July 23, 2015 Prepared by: Troy Hightower Introduction This presentation will
More informationGROWTH MANAGEMENT REPORT Wiarton South Settlement Area
GROWTH MANAGEMENT REPORT Wiarton South Settlement Area Designations in the Town of Wiarton Prepared for: The Municipality of South Bruce Peninsula P.O. Box 310 315 George St. Wiarton, ON N0H 2T0 Prepared
More informationFHWA Peer Exchange Meeting on Transportation Systems Management during Inclement Weather
Travel Demand Modeling & Simulation at GBNRTC Matt Grabau Kimberly Smith Mike Davis Why Model? Travel modeling is a tool for transportation planners and policy makers, to observe impacts of a transportation
More informationWRF Webcast. Improving the Accuracy of Short-Term Water Demand Forecasts
No part of this presentation may be copied, reproduced, or otherwise utilized without permission. WRF Webcast Improving the Accuracy of Short-Term Water Demand Forecasts August 29, 2017 Presenters Maureen
More informationProposed Scope of Work Village of Farmingdale Downtown Farmingdale BOA Step 2 BOA Nomination Study / Draft Generic Environmental Impact Statement
Proposed Scope of Work Village of Farmingdale Downtown Farmingdale BOA Step 2 BOA Nomination Study / Draft Generic Environmental Impact Statement The scope of work that follows incorporates and covers
More informationForecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 2010 to 2050
George Mason University Center for Regional Analysis Forecasts for the Reston/Dulles Rail Corridor and Route 28 Corridor 21 to 25 Prepared for the Fairfax County Department of Planning and Zoning Lisa
More informationCLAREMONT MASTER PLAN 2017: LAND USE COMMUNITY INPUT
Planning and Development Department 14 North Street Claremont, New Hampshire 03743 Ph: (603) 542-7008 Fax: (603) 542-7033 Email: cityplanner@claremontnh.com www.claremontnh.com CLAREMONT MASTER PLAN 2017:
More informationLeveraging Urban Mobility Strategies to Improve Accessibility and Productivity of Cities
Leveraging Urban Mobility Strategies to Improve Accessibility and Productivity of Cities Aiga Stokenberga World Bank GPSC African Regional Workshop May 15, 2018 Roadmap 1. Africa s urbanization and its
More informationPalmerston North Area Traffic Model
Palmerston North Area Traffic Model Presentation to IPWEA 7 November 2014 PNATM Presentation Overview Model Scope and type Data collected The model Forecasting inputs Applications PNCC Aims and Objectives
More informationEuropean Regional and Urban Statistics
European Regional and Urban Statistics Dr. Berthold Feldmann berthold.feldmann@ec.europa.eu Eurostat Structure of the talk Regional statistics in the EU The tasks of Eurostat Regional statistics Urban
More informationThe CRP stresses a number of factors that point to both our changing demographics and our future opportunities with recommendations for:
Plan Overview The CRP represents the first broad planning initiative covering Lake, Porter and LaPorte counties. Unlike previous plans released by NIRPC, which focused primarily on transportation, the
More informationPaul Waddell Professor, City and Regional Planning University of California, Berkeley Director, Urban Analy;cs Lab President, UrbanSim Inc.
2017 Philomathia Forum Urban Data Science and Simula9on For Metropolitan Sustainability Paul Waddell Professor, City and Regional Planning University of California, Berkeley Director, Urban Analy;cs Lab
More informationVolume Author/Editor: Gregory K. Ingram, John F. Kain, and J. Royce Ginn. Volume URL:
This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: The Detroit Prototype of the NBER Urban Simulation Model Volume Author/Editor: Gregory K.
More informationIdentifying Megaregions in the US: Implications for Infrastructure Investment
7. 10. 2 0 08 Identifying Megaregions in the US: Implications for Infrastructure Investment Dr. Myungje Woo Dr. Catherine L. Ross Jason Barringer Harry West Jessica Lynn Harbour Doyle Center for Quality
More information