Excess Commuting and Job-Housing Imbalance in Warren County, Kentucky Abstract: Excess commuting (EC) is a concept first developed by Hamilton (1982) to.

Slides:



Advertisements
Similar presentations
A Synthetic Environment to Evaluate Alternative Trip Distribution Models Xin Ye Wen Cheng Xudong Jia Civil Engineering Department California State Polytechnic.
Advertisements

Logistics Network Configuration
Optimal Spatial Growth of Employment and Residences Written by Ralph Braid Journal of Urban Economics 24(1988) Presented by Jing Zhou.
Transportation, Transshipment and Assignment Models and Assignment Models.
Richmond Journey-To-Work Transit Factoring Analysis: A Multivariate Regression Approach Xueming (Jimmy) Chen, Ph.D I-Shian (Ivan) Suen, Ph.D Virginia Commonwealth.
GIS and Transportation Planning
What is SBCAG? Voluntary council of governments Established in 1966 under a JPA executed by local governments 13 member Board of Directors: – 5 County.
GIS at PSRC GIS data collection & travel demand modeling ESRM 250 February 4, 2010.
Changing Residential and Employment Distributions in Guangzhou An Analysis of Commuting Flows.
An AQ Assessment Tool for Local Land Use Decisio ns MnAPA Annual Conference September 28, 2011 St. Cloud, Minnesota Mark Filipi, AICP PTP.
Examining Potential Demand of Public Transit for Commuting Trips Xiaobai Yao Department of Geography University of Georgia, USA 5 July 2006.
Chapter 4 1 Chapter 4. Modeling Transportation Demand and Supply 1.List the four steps of transportation demand analysis 2.List the four steps of travel.
Associating David Levinson Questions How do people find jobs? Does land use pattern matter? How should JH Balance be measured? Jobs Housing Balance does.
Subcenters in the Los Angeles region Genevieve Giuliano & Kenneth Small Presented by Kemeng Li.
Luci2 Urban Simulation Model John R. Ottensmann Center for Urban Policy and the Environment Indiana University-Purdue University Indianapolis.
Alain Bertaud Urbanist The Spatial Structure of Cities: Practical Decisions Facing Urban Planners Module 2: Spatial Analysis and Urban Land Planning.
Lowry Model Pam Perlich URBPL 5/6020 University of Utah.
1 IES 371 Engineering Management Chapter 10: Location Week 11 August 17, 2005 Objectives  Identify the factors affecting location choices  Explain how.
Evaluating the Concept of a Jobs- Housing Balance through LA County Diana Gonzalez Gonzalez 3/19/2012.
COMMUTE Atlanta A Comparison of Geocoding Methodologies for Transportation Planning Applications Jennifer Indech Nelson Dr. Randall Guensler Dr. Hainan.
The Community Capture Issue. OUR VALUES The fundamental principles which guide the behavior and actions of our employees and our organization. Integrity.
BALTIMORE METROPOLITAN COUNCIL MODEL ENHANCEMENTS FOR THE RED LINE PROJECT AMPO TRAVEL MODEL WORK GROUP March 20, 2006.
Accessibility David Levinson. Why Do Cities Form? Why does the Twin Cities exist? Why are the Twin Cities larger than Duluth or Fargo? Why is Chicago.
Overview of Urban Economics
ENVISION TOMORROW UPDATES AND INDICATORS. What is Envision Tomorrow?  Suite of planning tools:  GIS Analysis Tools  Prototype Builder  Return on Investment.
CH.12 Services Services generate more than 2/3 of GDP in developed countries, compared to ½ in developing countries.
1 The Aggregate Rail Ridership Forecasting Model: Overview Dave Schmitt, AICP Southeast Florida Users Group November 14 th 2008.
AUSTIN, TX AN ANALYSIS OF GROWTH AND DRIVING FACTORS.
1 Briefing on the Round 8.0 Cooperative Forecasts Robert E. Griffiths Technical Services Director Department of Transportation Planning TPB Technical Committee.
Utilizing Advanced Practice Methods to Improve Travel Model Resolution and Address Sustainability Bhupendra Patel, Ph.D., Senior Transportation Modeler.
Understanding Retail Trade Analysis by Al Myles, Economist and Extension Professor Department of Agriculture Economics Mississippi State University November.
Regional Visioning Land Use and Transportation for Four Million New Residents A Presentation to the New York Metropolitan Transportation Council February.
The Relation between Jobs-Housing Ratio and Commuting in LA County Diana Gonzalez Gonzalez 2/13/2012.
Travel Demand Forecasting: Trip Distribution CE331 Transportation Engineering.
Montreal, th October, th International EMME Users’ Conference The modelling of 2 different cases of the trip distribution in EMME in the.
Location, Relocation and the Journey to Work by David Levinson University of California at Berkeley Department of Civil Engineering/ Institute of Transportation.
Central Place Theory Walter Christaller, 1933.
Joint Development of Land Use and Light Rail Stations The Case of Tel Aviv Regional Science Association International -The Israeli Section Daniel Shefer,
EPA’s Development, Community and Environment Division: T ools for Evaluating Smart Growth and Climate Change February 28, 2002 Ilana Preuss.
March 13 th, 2007 by Indraneel Kumar, AICP; Spatial and GIS Analyst Christine Nolan, Senior Associate Purdue Center for Regional Development Purdue University.
Population and Employment Trends in the South: Rural Renaissance or Urban Sprawl? Mitch Renkow Department of Agricultural and Resource Economics North.
How Did Metro Boston Grow? – Spatial Database Management and Advanced GIS Final Presentation Group Members: Amy Jacobi, Eric Schultheis,
Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),
Urbanization Key Issue #4: Why do suburbs have distinctive problems?
Florida’s First Eco-Sustainable City. 80,000+ Residential Units 10 million s.f. Non-Residential 20 Schools International Clean Technology Center Multi-Modal.
CTPP in TranStats The One-Stop Shop of Transportation Data
Understanding Retail Trade Analysis by Al Myles, Extension Professor Department of Agriculture Economics Mississippi State University April 12, 2007.
An AQ Assessment Tool for Local Land Use Decisio ns 13 th TRB Transportation Planning Applications Conference May 9, 2011 Reno, Nevada Mark Filipi, AICP.
Center for Risk Management of Engineering Systems University of Virginia 1 Update for VTrans2025 Multimodal Advisory Committee August 8, 2006.
Analysis of Travel Behavior Using the ACS J.G. Berman, Siim S öö t and Susumu Kudo Urban Transportation Center, UIC.
Frankfurt (Germany), 6-9 June 2011 Marcus R. Carvalho – Brazil – RIF Session 5 – Paper ID 0728 LONG TERM PLANNING BASED ON THE PREDICTION AND ANALYSIS.
Trends for the Extension North District Rosemary R. Gliem, Ph.D. Director, Extension Data Center January 23, 2004.
CEE 320 Winter 2006 Transportation Planning and Travel Demand Forecasting CEE 320 Steve Muench.
In economics we use the concepts of profit maximization and utility maximization to understand why individuals and firms make the decisions that they make.
Kobe Boussauw – 15/12/2011 – Spatial Planning in Flanders: political challenges and social opportunities – Leuven Spatial proximity and distance travelled:
How Did Metro Boston Grow?
Developing External and Truck Trips for a Regional Travel Model
Primary sector activities
Marron Institute of Urban Management,
Special Cases In Linear Programming
Central Place Theory Walter Christaller, 1933.
Central Place Theory.
Chapter 4. Modeling Transportation Demand and Supply
Central Place Theory Walter Christaller, 1933.
Yijing Lu (Baltimore Metropolitan Council)
visualizing job accessibility with
Central Place Theory Walter Christaller, 1933.
Guiding principles Balance portfolio of transit projects using multiple transportation modes. Increase mobility for workers to and from major job centers.
Central Place Theory Walter Christaller, 1933.
CENTRAL PLACE THEORY -Walter Christaller,1933
Presentation transcript:

Excess Commuting and Job-Housing Imbalance in Warren County, Kentucky Abstract: Excess commuting (EC) is a concept first developed by Hamilton (1982) to measure the degree of commute distance explained by the spatial separation of job sites and households. The method is applied to a smaller metropolitan area and compared to previous studies done in larger urban areas. Methodology: EC can be defined as the portion of all workers’ commute as a whole that is over and above the minimum required by the spatial distance between their residences and the job sites. It is a “benchmark” for evaluating jobs-housing imbalance and characteristics of urban form. It is calculated via a linear programming process that swaps workers to “new” household locations in the most efficient manner by minimizing the total travel distance for all workers. In this study, we also conducted a worst- case baseline analysis by allocating workers in the most inefficient way (maximizing the total travel distance). This measure gives the commute potential of a region and is determined by both transportation network and distribution of jobs and workers. Caitlin Hager and Jun Yan, Center For GIS, Western Kentucky University Comparison Analysis: The analysis is conducted at TAZ level in the Bowling Green Warren County MSA using CTPP 2000 data. The above maps show the actual commutes (A), minimized commutes (B), and maximized commutes (D) by drive-alone commuters (the most common mode in small-size cities). As shown in B, a large number of shorter commuting trips is increased drastically and the cross-town trips are minimized. On the other hand, a large number of longer trips rises under maximization (D), indicating the increased cross-town trips. In addition, under optimum minimization, intra-zonal trips are increased (C) but totally eliminated under maximization. Compared with other places in U.S., Bowling Green has relatively inefficient commutes (F), with 6.47 miles actual, 4.2 miles minimum optimal, and 9.16 miles maximum optimal mean travel distance. Minimize or Maximize T req = subject to: AB C D Discussion: Excess Commuting (minimization) and Commute Potential (maximization) can be respectively calculated as follows: Warren County has an EC of 35%, which means, as a whole, 35% of total current total travel distance is unnecessary under an optimal scenario. Compared to previous studies (E), EC of Boise, ID is 48%; Omaha, WI 64%; Baltimore, MD 62%; Boston, MA 67%; Atlanta, GA 57%, Warren County, as a small- size metro, has a relatively small EC, considering that Bowling Green is one of the fastest growing cities in Kentucky and it functions as a regional employment center. Job-Housing Imbalance: Ratio of jobs to matched workers (JHB) for all and selected industries. Job-poor areas generate commutes; job-rich areas attract commutes. Blue zones indicate a low JHB; yellow - balanced; red - a high proportion of jobs to matched workers. Reference: Hamilton, B Wasteful commuting. The Journal of Political Economy 90(5): EF