Planning Analysis:
Assignment #3: Forecasting and Land Supply Monitoring


Background

An integral part of any site analysis is developing a land inventory and estimating development capacity under existing zoning. This assignment builds from our discussion of forecasting and land supply monitoring. It requires you to use County Assessment data, aerial photos, and field verification to develop a land use inventory for your study area and to estimate development capacity.

Your analysis should be presented in the form of a memorandum to the Technical Advisory Committee (TAC) and should include appropriate analysis, narrative, and tables. The TAC expects you to submit your analysis in class on Monday, November 3. 

The Assignment

Part I: Forecasting

This assignment is designed to allow you to apply your projection, forecasting, and data interpretation skills. You will gather data for Lane County and Eugene-Springfield and evaluate the forecasts prepared by the state Office of Economic Analysis and the Lane Council of Governments.

Start by downloading the long-term population and economic forecasts by county from the Office of Economic Analysis (OEA):

http://www.oea.das.state.or.us/population.htm

The OEA forecasts extend until 2040 and are the official county-level control totals. In other words, if you were to develop a set of sub-county forecasts for Lane County, they would need to sum to within ±5% of the county control total.

Specifically, you should:

1.         Using the OEA data, complete the table below showing population, annual percent change, and average annual growth rate (AAGR) using historical County and state data for the period between 1980 and 1990 and the period between 1990 and 2000.

 

Oregon

Lane County

Year

Pop Change

APR

AAGR

Pop Change

APR

AAGR

1980 - 1990

 

 

 

 

 

 

1990 – 2000

 

 

 

 

 

 

2000 – 2020

 

 

 

 

 

 

2000 – 2040

 

 

 

 

 

 

 What conclusions can be made from the results? What factors may have affected the population trends?

2.         Using the LCOG data posted on the Web Site (click here), create a table showing the ratio of population for Lane County and Eugene-Springfield to Lane County for each 5-year period shown in the MetroPopForecast sheet. Discuss the implications of the data.

3.         Project population for Lane County and Eugene Springfield using the straight-line method and the compound method. Use the years 1990 and 2000 to derive the growth rates. Present the results in 10-year increments out to 2040.

4.         List the assumptions implicit in the projections.  Indicate your level of confidence in the accuracy of your projections.

5.         Compare the results of your projections for Lane County with the OEA long-term forecast. What differences do you observe? What factors may have contributed to those differences?

 

Part II: Land Capacity Analysis

The assignment is to complete the land use inventory and land capacity analysis. Specifically, your analysis should include:

Data Available/Assumptions

As you initiate work on this project, you’ll find inconsistencies in the data: tax lot boundaries may not follow the study area boundaries; zoning may not be correct or may be split on a parcel. Unfortunately, you don’t have time to address all of these inconsistencies. You have a number of options available: make assumptions; adjust your data, etc. Do what you feel is reasonable given the data and available time.

GIS files of your study area are available here in zip format:

You’ll need the Assessment data to complete the assignment. I’ve made that data available in Excel format for download here.

You can find the metadata for the GIS files at: http://www.rlid.org/cfdocs/rlid/reg_Metadata/MetaCategories.cfm

Density Assumptions

Use the following assumptions about density:

 

 

ASSUMPTION

PLAN DES

TITLE

DU/AC

EPA

A  

Agricultural  

1/5ac

0

C  

Community Commercial  

0

25

D  

Commercial Mixed Use  

8

25

E  

Education  

0

30

F  

Forest Land  

0

0

G  

Sand and Gravel  

0

0

H  

High Density Residential  

20

0

I  

Light Medium Industrial  

0

20

J  

Rural Industrial  

0

15

L  

Low Density Residential  

5

0

M  

Medium Density Residential  

10

15

N  

Natural Resource  

0

0

O  

Campus Industrial  

0

25

P  

Park & Open Space  

0

0

Q  

Rural Commercial  

0

12

R  

Rural Residential  

4

0

S  

High Density Res Mixed Use  

25

20

T  

Airport Reserve  

0

0

U  

Medium Density Res Mixed  

10

15

 


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October 21, 2003