Syllabus
Methods of Planning Analysis II
Course # 34:970:516
Tuesdays 9:50 am to 12:50 pm
Fall Semester 2014
Bloustein Room 369
Civic Square Building
33 Livingston Ave, New Brunswick
Urban Planning and Policy Development Program
Bloustein School of Planning and Public Policy
Rutgers University
Professor Mi Shih
366 Civic Square Building
Email: mi.shih@ejb.rutgers.edu
Office Hours: Tuesdays 1-3 pm
Teaching Assistants: Jonathan Stiles
371 Civic Square Building
Email: jonathan.stiles@rutgers.edu
Office Hours: Wednesdays 2-4 pm
Lab Hours: (See page 6 for details.)
Professor Michael Smart
535 Civic Square Building
Email: mike.smart@rutgers.edu
Office Hours: Wednesdays 1-3 pm
Course Description:
This is a practice-oriented survey course covering common methods of data collection and
analysis for planners. The course is not intended to train you to be an expert in any of these
methods, though you will emerge understanding the essentials. Other courses provide more indepth instruction in some of these topics.
This course introduces a set of tools that are widely used in urban and regional planning
practice. The focus is on the development of confidence and competence in qualitative and
quantitative problem solving. Four major topics include the following:
1. Gathering Your Own Data: In planning practice, it is frequently the case that standardized
data are not available and you must collect your own. Students will receive a brief introduction
to observation, interviewing, focus groups, and charrettes.
2. Estimating Needs: Planners need to understand the characteristics of the population they
serve. This requires learning how to describe the current size, age distribution, vital statistics,
and composition of that population. It also means learning how to project the characteristics of
the future population, using models of growth, migration, and interregional population
dynamics. It further involves estimating the resulting demand for facilities and services ranging
from housing to transportation.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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3. Understanding Economic Conditions: The open nature of most urban and regional
economies has led to the development of special tools for studying their performance. Simple
methods will be learned for evaluating shopping behavior, regional industrial specialization
(economic base multipliers) and change (shift-share analysis). The more complex tools of
regional, interregional and multi-regional input-output analysis will be explored from the point
of view of the information consumer. Students will also gain an understanding of the strengths
and weaknesses of several measures of inequality.
4. Making Decisions: Informing real, risky decisions -- often nearly in real time -- is one of the
key tasks of practicing planners. Quantitative analysis of planning options, relevant
uncertainties, and decision-makers' preferences allows the effective management of
information in the decision making process. Students will learn techniques that estimate costs
and benefits from the distinct perspectives of developers, municipalities, and society as a
whole. We will also quickly look at several state-of-the-art Planning Support Systems.
Learning Objectives:
At the end of this course, students will be able to:
 understand several useful qualitative techniques;
 acquire planning data (primary and secondary),
 use spreadsheet programs fluently and confidently,
 perform quantitative analysis in support of a variety of planning decisions,
 clearly explain and interpret their own quantitative analyses, and
 critically evaluate the quantitative work of others.
Course Format:
There will be one three-hour class session each week and an optional 1-hour computer lab
(offered twice each week). Grades will be based on four problem sets, equally weighted (80
percent), 10 short assignments – graded pass/fail (10 percent) and classroom participation (10
percent). The problem sets, most involving desktop computer work, consist of exercises
applying the methods learned to small data sets. The short assignments consist of a variety of
very short exercises, in-class group work, blog assignments and several on-line reading
evaluations.
Students are expected to attend class regularly. Absent students are responsible for all
material and course changes announced in class. This is a large class, but we encourage
comments and participation.
The problem sets assume basic familiarity with spreadsheet software such as Excel. In the first
few weeks at the lab sessions you will have a chance to brush up on your Excel skills. If you are
an Excel novice, you should immediately buy a book and start going through the exercises. We
assume that you can already navigate around a spreadsheet.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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The lectures assume basic, non-calculus preparation in math, economics and statistics. The
reading assignments assume a willingness to review but not replicate more advanced material.
If you do not remember logarithms and exponents you should buy a review book.
Policy on late submissions:
We understand that sometimes things come up that prevent you from submitting an
assignment on the due date. Excused lateness is not a problem, and we will not deduct any
points. Please make sure you email all the instructor(s) and TA(s). However, if you submit
something late and didn’t bother to tell us, we deduct points. For the first hour of lateness, we
will deduct 5% from your grade (i.e. from 100% to 95%). Up to a full day late and unexcused will
result in a 10% penalty. Up to two days late will result in 20%, and beyond that a 25% penalty.
Textbooks:
There are two categories of readings: required and recommended. You are responsible for
demonstrating knowledge of the content of all required readings, so read them every week
before class. Mastery of recommended readings is not required; instead these are shown in
case you want to learn more about a topic.
There are no required texts for this course. We will provide course readings in digital form for
each lecture on Sakai. However, you should also consider buying the following recommended
books as useful references for your planner’s bookshelf.
Koomey, Jonathan G. 2008. Turning Numbers into Knowledge. 2nd ed. Oakland, CA: Analytics Press.
MacDonald, Michael. 2010. Excel 2010: The Missing Manual. Sebastopol, CA: O’Reilly Media. (Kindle
edition available).
Steiner, Frederick, and Kent Butler. 2007. Planning and Urban Design Standards, Student Edition.
Hoboken, NJ: John Wiley & Sons. (Kindle edition available).
Recommended for those in need of a review:
Spiegel, M.R., and R.E. Moyer. 2009. Schaum’s Outline of College Algebra, 3rd ed. New York:
McGraw Hill. (Kindle edition available).
Course Web Page:
This course is paper-free. The problem sets, powerpoints from lectures, and additional course
material are available on the course web page using Sakai. You will also submit your short
assignments and problem sets and receive your grades via Sakai. To access Sakai, first go to
sakai.rutgers.edu. To log on to the web page, you will use your user name and password (the
same as your regular Rutgers user name and password). We will cover information on using
Sakai during the first lecture period.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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To submit problem sets, use the “Assignments2” link from the Sakai site (on the left-hand side).
Upload your assignment as an attachment.
Professional Paper:
You can fulfill the writing requirement for the MCRP degree by completing a professional memo
in this class. The memo will be an extended and edited version of work completed from one of
the required problem sets. The course faculty member will sign off on this requirement on your
MCRP graduation form when you have completed your memo.
Academic Integrity:
Academic honesty and intellectual integrity are fundamental to the process of learning and to
evaluating academic performance. This is the responsibility of all members of the university,
and students share the responsibility for creating and maintaining an atmosphere of honesty
and integrity. If you have any doubt about what constitutes academic integrity, consult
http://academicintegrity.rutgers.edu/academic-integrity-at-rutgers.
Students are encouraged to study together in this course, but the problem sets you submit
must be entirely your own work. Some of the short assignments will be completed as groups.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Schedule of Classes
Part I: Gathering Your Own Data
1
2
3
Sept 5
Sept 9
Sept 16
Introduction and overview, basic quantitative skills
Observation
Interviewing, Focus Groups, Charrettes
Part II: Estimating Needs
4
5
6
7
8
Sept 23
Sept 30
Oct 7
Oct 14
Oct 21
Demography: Census data, describing static populations
Demography: Population Projection Models, Migration
Demand Models: Need for Infrastructure & Facilities
Transportation: Trip Generation and Distribution Models
Modeling relationships
Part III: Understanding Economic Conditions
9
10
11
Oct 28
Nov 4
Nov 11
Income Accounts, LQs, Economic Base, Shift-Share
Measuring Inequality
Shopping: Gravity and Retail Market Models
Part IV: Making Decisions
12
13
14
Nov 18
Dec 2
Dec 9
Benefit-Cost Analysis, Fiscal impact Analysis
Development Finance
Planning Support Systems
Schedule of Problem Sets
Problem sets are distributed and discussed in class. They are due on Wednesdays (dates
provided below) by 11:55pm.
Problem Set 1
Problem Set 2
Problem Set 3
Problem Set 4
Distributed Sept 2, Due Sept 24
Distributed Sept 23, Due Oct 22
Distributed Oct 6, Due Nov 19
Distributed Nov 18, Due Dec 16
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
Gathering Data
Estimating Needs
Understanding Economic Conditions
Making Decisions
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Schedule of Lab Sessions
Lab sessions will be held on Wednesday afternoon from 4:00 pm to 5:45 pm in the 3rd floor
computer lab. The same material will be repeated the following Monday afternoon from 4:00
pm to 5:45 pm in the 3rd floor computer lab. This schedule gives students 2 opportunities to
attend each topical lab. The lab sessions are scheduled to match the deadlines for the 4
exercises. Some weeks do not have lab sessions, so consult this schedule.
Part I: Gathering Your Own Data
Wed, Sept 17 and Monday, Sept 22
Excel review
Part II: Estimating Needs
Wed, Oct 1 and Monday, Oct 6
Wed, Oct 8 and Monday, Oct 13
Census data and projection models
Cohort-survival model
Part III: Understanding Economic Conditions
Wed, Oct 29 and Monday, Nov 3
Wed, Nov 5 and Monday, Nov 10
Location Quotients
Measuring Inequality
Part IV: Making Decisions
Wed, Nov 19 and Monday, Nov 24
Wed, Dec 3 and Monday, Dec 8
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
Fiscal Impact
Development Finance
6
Schedule of Topics, Readings, and Assignments
Part I: Gathering Your Own Data
Week 1: Introduction and overview, Basic quantitative skills
Required
Gehl, Jan. 2010. “Senses and scale” (pp. 31-59), Cities for People. Washington, DC: Island Press.
Gaber, John and Sharon Gaber, 2007. Qualitative analysis for planning and policy. Chicago: APA
Planners Press. Chapter 1: “Introduction” Qualitative Analysis for Planning and Policy.
Ford, Kristina, 2003. “Planning in the political context.” Chapter 11 in The Planner’s Use of
Information, 2nd ed., edited by H. Dandekar. Chicago: Planners Press.
Koomey, Jonathan G. 2008. Part I: Things to know, plus ideology chapter (pp. 1-29, ch. 1-5) in
Turning Numbers into Knowledge. 2nd ed. Oakland, CA: Analytics Press.
Recommended
Dandekar, Hemalata C. 2003. “Introduction.” Hemalata C. Dandekar. 2003. Pages 1 to 13 in The
Planner’s Use of Information, 2nd ed., edited by H. Dandekar. Chicago: Planners Press.
Week 2: Observation
Required
Bosselman, Peter. 2008. “To measure: Vitality, livability, and sense of place” (pp. 140-191), Urban
Transformation: Understanding City Design and Form. Washington, DC: Island Press.
Dandekar, Hemalata C. 2003. “Field methods for collecting information.” Chapter 1 in The planner’s
Use of Information. Hemalata C. Dandekar, ed. Chicago: Planners Press.
Gaber, John and Sharon Gaber 2007. Qualitative Analysis for Planning and Policy. 2007. Chicago:
APA Planners Press. Chapters 2 and 3 — “Field research” and “Photographic research.”
Recommended
Adler, Patricia A. and Peter Adler, 1998. “Observational techniques,” in Collecting and Interpreting
Qualitative Materials, edited by N.K. Denzin and Y.S. Lincoln. Thousand Oaks: Sage.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Jacobs, Allan B. 1985. “Starting to look” (pp. 1-13), “Clues” (pp. 30-84), and “Looking back” (pp. 133141). In Looking at Cities. Cambridge, MA: Harvard University Press.
William H. Whyte, 2000 (1977). “New York and Tokyo: A study in crowding.” In The Collected Works
of William H. Whyte, edited by Albert LaFarge. New York: Fordham University Press.
Week 3: Interviewing, Focus Groups, Charrettes
Required
Rubin, Herbert J. and Irene S. Rubin, 2005. “Listening, hearing, and sharing social experiences” and
“Why we do what we do: Philosophy of qualitative interviewing,” in Qualitative interviewing: The art
of hearing data. Thousand Oaks: Sage.
Krueger, Richard A. and Mary Anne Casey, 2000. “Overview of focus groups,” “Planning the focus
group study,” “Developing a good questioning route,” and “Participants in a focus group,” in Focus
groups: A practical guide for applied research. 3rd Ed. Thousand Oaks: Sage.
Recommended
Ambert, Anne-Marie, Patricia A. Adler, Peter Adler, and Daniel F. Detzner. 1995. “Understanding and
evaluating qualitative research.” Journal of Marriage and the Family 57(4) 879-893.
Voogd, Henk. 2005. “Evaluation of visitability of public urban places.” In Beyond benefit cost
analysis: Accounting for non-market values in planning evaluation, edited by D. Miller and D.
Patassini. Burlington, VT: Ashgate.
Salant, Priscilla and Don A. Dillman. 1994. “Practical surveys,” “Cornerstones of a quality survey,”
“Deciding what information you need,” and “Choosing a survey method.” Chapters 1 to 4 in How to
Conduct Your Own Survey. New York: John Wiley & Sons.
Fowler, Floyd J., Jr. 1993. “Designing questions to be good measures,” “Designing and evaluating
survey questions.” Chapters 5 to 6 in Survey Research Methods. 2nd ed. Newbury Park, CA: Sage.
Part II: Estimating Needs
Week 4: Demography: Census data, describing static populations
Required
Williamson, Christopher, 2008. Planners and the Census: Census 2010, Factfinder, and
Understanding Growth, Planning Advisory Service Report Number 553, Chicago: American Planning
Association. (Selected sections.)
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Koomey, Jonathan G. 2008. Part III: Assess their analysis (pp. 57-92, ch. 11-20) in Turning Numbers
into Knowledge. 2nd ed. Oakland, CA: Analytics Press.
Recommended
Newell, C. (1988), Methods and Models in Demography, London: Belhaven Press (Pinter Publishers),
pp. 1-34, 82-89 (Chapters 1,2,3 and 7).
Yen, Maria, and Grace York. 2003. “Information from secondary sources.” Chapter 3 in The planner’s
Use of Information. Hemalata C. Dandekar, ed. Chicago: Planners Press.
Week 5: Demography: Population projection models, migration
Required
Steiner, Frederick and Kent Butler, 2007. “Projections and demand analysis,” pp. 299-302 in
Planning and Urban Design Standards, Student Edition, Hoboken, NJ: John Wiley & Sons.
Berke, Philip R., David R. Godshalk, and Kaiser, Edward J. 2006. “Population and Economy.” Pp. 117148 (Chapter 5) in Urban Land Use Planning, 5th ed. Chicago : University of Illinois Press.
Koomey, Jonathan G. 2008. Part IV: Create your analysis (pp. 93-144, ch. 21-31) in Turning Numbers
into Knowledge. 2nd ed. Oakland, CA: Analytics Press.
Recommended
Pandit, Kavita. (2000) "Regional variation in mobility levels and timing in the
United States," Professional Geographer 52(3): 483-493.
Manson, Gary A., and Richard E. Groop. (2000) "U.S. intercounty migration
in the 1990s: People and income move down the urban hierarchy," Professional Geographer 52(3):
493-504.
Klosterman, R. E. (1990). “Extrapolation Technique: An Introduction” (Ch1), “Selecting Appropriate
Extrapolation Projections” (Ch3), “Cohort-Component Technique: An Introduction” (Ch4). In
Community Analysis and Planning Techniques. Savage, MD: Rowman and Littlefield.
Newell, C. (1988) op. cit., pp. 180-189 (chapter 15).
Woods, R., and P. Rees (1986), Population Structures and Models, London: Allen and Unwin, pp. 120, 95-125, 160-244 (Chapters 1, 2, 6, 8,9).
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Week 6: Demand Models: Estimating need for Infrastructure and facilities
Required
Kelly, Eric Damian, and Barbara Becker. 2000. “How do we plan for public facilities?” Chapter 7 in
Community Planning: An Introduction to the Comprehensive Plan. Washington, DC: Island Press.
Steiner, Frederick, and Kent Butler. 2007. “Housing needs assessment,” and “Parks, recreation, and
open-space needs assessment.” Pp. 305-309 in Planning and Urban Design Standards, Student
Edition. Hoboken, NJ: John Wiley & Sons.
Listokin, David. 2006. Who Lives in New Jersey Housing? A Quick Guide to New Jersey Residential
Demographic Multipliers. Center for Urban Policy Research, Rutgers University, New Brunswick, NJ.
Recommended
Newell, C. (1988) op. cit., pp. 82-89 (chapter 7).
Rogers, A. (1985) Regional Population Projection Models, Beverly Hills, CA: Sage Publications, pp. 6394.
Woods, R., and P. Rees (1986), Population Structures and Models, London: Allen and Unwin, pp.245297(chapters 10-11). [discusses industrialized country context]
Todaro, M. P. (1985). Economic Development in the Third World. 3rd edition. New York: Longman,
pp. 247-284 (chapter 9). [discusses developing country context]
Week 7: Transportation: Trip Generation and Distribution Models
Required
Berke, Philip R., David R. Godshalk, and Kaiser, Edward J. 2006. “Transportation and Infrastructure
Systems.” pp. 225-263 (Chapter 8) in Urban Land Use Planning, 5th ed. Chicago : University of Illinois
Press.
Steiner, Frederick and Kent Butler, 2o07. “Traffic impact studies,” pp. 317-319 in Planning and
Urban Design Standards, Student Edition, Hoboken, NJ: John Wiley & Sons
Jiawen Yang, Steven French, James Holt & Xingyou Zhang (2012): Measuring the Structure of U.S.
Metropolitan Areas, 1970–2000, Journal of the American Planning Association, 78:2, 197-209
Marcial H. Echenique, Anthony J. Hargreaves, Gordon Mitchell & Anil Namdeo (2012): Growing
Cities Sustainably, Journal of the American Planning Association, 78:2, 121-137
Jonathan Levine, Joe Grengs, Qingyun Shen & Qing Shen (2012): Does Accessibility Require Density
or Speed?, Journal of the American Planning Association, 78:2, 157-172
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Recommended
Sheppard, Eric (1986). "Modeling and predicting aggregate flows," pp. 91- 118 in Susan Hanson, ed.,
The Geography of Urban Transportation, New York: Guilford.
Putman, S. (1983). Integrated Urban Models. London: Pion Ltd., pp. 6-36 (chapter 2).
De Neufville, Richard. (1990). Applied Systems Analysis. New York: McGraw-Hill, pp. 28-40, 139-172
(ch. 3, 7)
Week 8: Modeling Relationships
Required
Wheelan, Charles (2014), Naked Statistics: Stripping the Dread from the Data, 1st edition, New York:
W. W. Norton, pages 185-224 (chapters 11 & 12).
Recommended
“Regression with SPSS” video series, available via UCLA Institute for Digital Research and Education
at: http://www.ats.ucla.edu/stat/spss/seminars/SPSSRegression/default.htm (note: also available
for other statistical software packages)
Part III: Understanding Economic Conditions
Week 9: Income Accounts, Location Quotients, Economic Base Model
Required
Bendavid-Val, Avrom (1991), Regional and Local Economic Analysis for Practitioners, 4th Edition,
Westport, CT: Praeger Publishers, pp. 41-52, 75-85 (chapters 5, 7 and 8).
Miller, Wayne P. 2004. Economic Multipliers: How Communities Can Use Them for Planning. Report
#FSCDD6-PD-7-04R, Cooperative Extension Service, University of Arkansas, Little Rock, AR.
Moore, Terry, Stuart Meck, and James Ebenhoh. 2006. “Evaluating a Local Economy” in An Economic
Development Toolbox: Strategies and Methods, Planning Advisory Service Report No. 541. Chicago:
American Planning Association.
Steiner, Frederick, and Kent Butler. 2007. “Economic base and econometric projections,” pp. 303304 in Planning and Urban Design Standards, Student Edition. Hoboken, NJ: John Wiley & Sons.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Recommended
Bureau of Economic Analysis, U.S. Dept. of Commerce, Regional
Multipliers: A User Handbook for the Regional Input-Output Modeling System (RIMS II) (Washington,
DC: U.S. Government Printing Office, 1992).
Kovacs, Bill. (2010) Project No Project. U.S. Chamber of Commerce, Washington, DC.
Pleeter, S. (1980), "Methodologies of Economic Impact Analysis: An Overview," in S. Pleeter ed.,
Economic Impact Analysis: Methodology and Applications, Boston, MA: Martinus Nijhoff Publishers,
pp. 7-31.
Miller, Ronald E (1998), "Regional and interregional input-output analysis," pp. 41-133 in Walter
Isard et al, eds. Methods of Interregional and Regional Analysis, Aldershot UK: Ashgate.
Schofield, J. A. (1987). Cost-Benefit Analysis in Urban and Regional Planning. London: Allen and
Unwin, pp. 177-193 (chapter 14).
Knudsen, Daniel C. (2000), "Shift-share analysis: Further examination of models for the description
of economic change," Socio-Economic Planning Sciences, Volume 34, pp. 177-198.
Week 10: Measuring Inequality
Required
Cowell, F. (1995), Measuring Inequality, 2nd edition. New York, NY: Prentice Hall/Harvester
Wheatsheaf, pp. 1-34 (chapters 1-2).
Glaeser, Edward L., and Jacob L. Vigdor. 2001. Racial Segregation in the 2000 Census: Promising
News. Survey Series, Center on Urban and Metropolitan Policy. Washington DC: Brookings
Institution.
Talen, Emily, 2006. “Neighborhood-Level Social Diversity,” Journal of the American Planning
Association 73(4): pp. 431-446.
Recommended
Cowell, F. (1995), Measuring Inequality, 2nd edition. New York, NY: Prentice Hall/Harvester
Wheatsheaf, pp. 35-134 (chapters 3-5, appendix).
Darden, Joe T., and Sameh M. Kamel (2000), "Black residential segregation in the city and suburbs of
Detroit: Does socioeconomic status matter?," Journal of Urban Affairs, Volume 22, Number 1, pp. 113.
Massey, Douglas S., and Nancy A. Denton. 1988. “The dimensions of residential segregation,” Social
Forces 67(2): pp. 281-315.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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Week 11: Shopping: Gravity and Retail Market Models
Required
Krueckeberg, Donald, and Arthur Silvers (1974) Urban Planning Analysis: Methods and Models, John
Wiley and Sons, New York. pp. 288-317 (chapter 9).
University of Wisconsin—Extension. 2011. “Trade Area Analysis.” Downtown and Business Market
Analysis tools website. Has good primers on a variety of market analysis tools at
http://fyi.uwex.edu/downtown-market-analysis/.
Recommended
Stewart, J. Q. (1940). “The Gravity of the Princeton Family.” Princeton Alumni Weekly. February 9,
1940, pp. 409-410.
Isard, Walter (1998), "Gravity and spatial interaction models," pp. 243-279 in Walter Isard et al, eds.
Methods of Interregional and Regional Analysis, Aldershot UK: Ashgate.
Part IV: Making Decisions
Week 12: Benefit Cost Analysis, Fiscal Impact Analysis
Required
Schofield, J. 1987. Cost-Benefit Analysis in Urban and Regional Planning, London: Allen and Unwin,
pp. 1-36 (chapters 1-3).
Steiner, Frederick, and Kent Butler. 2007. “Fiscal impact analysis,” pp. 314-316 in Planning and
Urban Design Standards, Student Edition. Hoboken, NJ: John Wiley & Sons.
Edwards, Mary M. 2000. “Fiscal impact analysis.” pp. 9-27 in Community Guide to Development
Impact Analysis. Madison, WI: Wisconsin Land Use Research
Program.
Recommended
Gramlich, Edward M. 1990. A Guide to Benefit-Cost Analysis, 2nd ed. pp. 134-149, 197-222 (chapters
8, 12), Prospect Heights, IL: Waveland Press.
Listokin, David. 2006. Who Lives in New Jersey Housing? A Quick Guide to New Jersey Residential
Demographic Multipliers. Center for Urban Policy Research, Rutgers University, New Brunswick, NJ.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
13
Wong, Sidney. 2006. Fiscal Impacts of the Proposed Beazer Projects, Hopewell Township, New Jersey.
Final report, PennPraxis, University of Pennsylvania, Philadelphia, PA.
Bise, L. Carson II. 2010. Fiscal Impact Analysis: Methodologies for Planners. Planning Advisory
Service, Report 561. American Planning Association, Chicago, IL. Selections.
Week 13: Development Finance
Required
Long, Charles. 2011. Finance for Real Estate Development. Pp. 29-57 (chapter 2 on the basics of real
estate finance). Washington, DC: Urban Land Institute.
Steiner, Frederick, and Kent Butler. 2007. “Financing methods and techniques,” and “Financial
planning and analysis: The pro forma,” pp. 406-414 in Planning and Urban Design Standards,
Student Edition. Hoboken, NJ: John Wiley & Sons.
Week 14: Planning Support Systems
Required
Janssen, Ronald. 1991. Multiobjective Decision Support for Environmental Problems, Vrije
Universiteit te Amsterdam, pp. 51-90, (chapter 3).
Moore, Terry. 2008. “Planning support systems: What are practicing planners looking for?” Ch. 11
in Richard Brail, ed., Planning Support Systems for Cities and Regions. Cambridge, MA: Lincoln
Institute of Land Policy, pp. 231-256.
Recommended
Lai, S-K., and L. D. Hopkins (1989). “The meanings of tradeoffs in multiattribute evaluation methods:
a comparison.” Environment and Planning B: Planning and Design. Vol. 16, pp. 155-170.
Methods of Planning Analysis II, Professors Shih and Smart, Spring 2014
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