Aicp 16 - Plan Making And Implementation

Front 1

Three parts of plan making.

Back 1

1. Goals and visions

2. Analysis of current problems

3. Creation and evaluation of alternatives

Front 2

Strategic Planning - 8 Elements

Back 2

Analyze the community or organization's needs

Identify results - what long-term objectives will be pursued?

Admit uncertainties - SWOT as it relates to objectives

Involve strategic stakeholders

Develop and evaluate alternatives

Identify role of city

Develop a funding plan

Evaluate performance

Front 3

Visioning

Back 3

Process where citizens attend series of meetings to offer input on how community could be in future. Early in planning process; 20-30 year timeframe.

Front 4

Tribal Planning

Back 4

Engages tribal government leaders, residents, businesses in preparing plans and administering planning processes in support of tribal community.

Front 5

Common map scales

Back 5

1:24,000 - 1 inch represents 2000 linear feet

1:62,500 - 1 inch = 0.98 miles

1:500,000 - 1 inch = 7.89 miles

1:2,000,000 - 1 inch = 31.57 miles

Front 6

USGS map scale

Back 6

1:24,000

Front 7

Three basic map projection types

Back 7

Conic

Cylindrical

Planar

Front 8

Three basic map projection types

Back 8

Conic

Cylindrical

Planar

Front 9

Slope guidelines for urban development

Back 9

0-0.5% - no drainage, not suitable

0.5-1% - no problems, ideal for all types

1-3% - slight problems for large commercial areas; acceptable for residential

3-5% - major problems for commercial/industrial/large scale residential

5-10% - suitable for only specially-designed development

Front 10

FAR

Back 10

Floor Area Ratio. Ratio of gross floor area of building to its ground area.

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Descriptive statistics

Back 11

Describe the characteristics of a population

Front 12

Inferential statistics

Back 12

Determine characteristics of a population based on observations made on a sample of that population.

Front 13

Central tendency

Back 13

Typical or representative value of a dataset examples mean median and mode

Front 14

Nominal data

Back 14

Mutually exclusive groups that lack intrinsic order. Race, Social Security number are examples. Mode is only appropriate measure of central tendency.

Front 15

Ordinal data

Back 15

Uses that are ranked so that inferences can be made regarding the magnitude. Educational attainment or letter grades are examples. Mode and median are the only measures of central tendency that can be used.

Front 16

Ordinal data

Back 16

Uses that are ranked so that inferences can be made regarding the magnitude. Educational attainment or letter grades are examples. Mode and median are the only measures of central tendency that can be used.

Front 17

Interval data

Back 17

Ordered relationship with a magnitude. Temperature is an example. Mode and median are the only measures of central tendency that can be used.

Front 18

Ratio data

Back 18

Has an ordered relationship and equal intervals. Distance is an example. Any form of central tendency can be used.

Front 19

Types of variables

Back 19

Qualitative can be nominal or ordinal. Quantitative can be interval or ratio. Continuous have an infinite number of values. Dichotomous can only have two possible values.

Front 20

Hypothesis testing

Back 20

Allows for the determination of possible outcomes and interrelationship between variables. Null hypothesis (H0) statement that there are no differences. Alternate hypothesis (H1) proposes the difference.

Front 21

Hypothesis testing

Back 21

Allows for the determination of possible outcomes and interrelationship between variables. Null hypothesis (H0) statement that there are no differences. Alternate hypothesis (H1) proposes the difference.

Front 22

Distribution

Back 22

Normal - symmetrical around mean. Bell curve.

Front 23

Measures of dispersion

Back 23

Extent to which data differs from each other.

Range

Variance - average squared difference of scores from mean score of a distribution.

Standard deviation - square root of the variance.

Coefficient of variation - measures relative dispersion from mean and is calculated by SD/mean

Standard error - standard deviation of a sampling distribution. Indicates degree of sampling fluctuation.

Confidence interval - estimated range of values which is likely to include an unknown population parameter.

Front 24

Statistical tests

Back 24

Chi square - provides a measure of the amount of difference between two frequency distributions. Tests goodness of fit of an observed distribution to a theoretical one.

Z-score - measure of distance, in SD units, from the mean. Allows you to determine the probability that something will happen.

T-test - allows comparisons of means of two groups to determine how likely the difference occurred by chance. Need to know # of subjects, difference between means, and SD.

ANOVA - analysis of variance. Compares the means of more than two samples.

Correlation - strength of relationship between two variables. Correlation coefficient is type and strength of relationship, from -1 to 1. Square is r2.

Regression - effect of independent variables on dependent variable.

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Linear method

Back 25

Uses growth/decline rate to estimate current or future population

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Exponential and Modified Exponential Method

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Rate per year. Modified assumes a cap for change. Gompertz has growth slowest at beginning and speeding up over time.

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Symptomatic

Back 27

Uses available data to estimate current population - census, building permits, water taps, phone lines, voter registration, utility connection.

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Step-down ratio

Back 28

Uses ratio of population in city to region to estimate current/future population

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Step-down ratio

Back 29

Uses ratio of population in city to region to estimate current/future population

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Distributed Housing Unit Method

Back 30

Housing units x occupancy rate x persons per household. Only reliable for stable communities or those with slow growth.

Front 31

Step-down ratio

Back 31

Uses ratio of population in city to region to estimate current/future population

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Distributed Housing Unit Method

Back 32

Housing units x occupancy rate x persons per household. Only reliable for stable communities or those with slow growth.

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Cohort Survival Method

Back 33

Current population + natural increase + net migration

Calculated for men and women in specific age groups. Specific time intervals are used; eg 5-10 years.