36
Condominium Conversions in San Francisco: GIS Analysis of Determinants by J. M. Pogodzinski, Economics Department and Urban and Regional Planning Department, San Jose State University Alicia T. Parker, Urban and Regional Planning Department, San Jose State University Tito Vandermeyden, GIS Manager, Nextbus, Inc.

Condominium Conversions in San Francisco: GIS Analysis …pogodzinski.org/P-P-V_Condo_Conversions_ESRI_062007_Slides.pdf · Condominium Conversions in San ... San Francisco Condo

  • Upload
    buicong

  • View
    231

  • Download
    2

Embed Size (px)

Citation preview

Condom

iniu

m C

onve

rsio

ns

in

San

Fra

nci

sco:

GIS

Anal

ysis

of

Det

erm

inan

ts

by

J. M

. Po

godzi

nsk

i, E

conom

ics

Dep

artm

ent

and U

rban

and

Reg

ional

Pla

nnin

g D

epar

tmen

t, S

an J

ose

Sta

te U

niv

ersi

ty

Alic

iaT.

Park

er,

Urb

an a

nd R

egio

nal

Pla

nnin

g D

epar

tmen

t,

San

Jose

Sta

te U

niv

ersi

ty

Tito

Van

der

mey

den

, G

IS M

anag

er,

Nex

tbus,

Inc.

Dow

nlo

ad P

rese

nta

tion

Go t

o h

ttp:/

/ww

w.p

ogodzi

nsk

i.net

/an

d

clic

k on “

ESRI

UC 2

007 P

rese

nta

tion”

Ove

rvie

wRel

atio

nsh

ip t

o e

arlie

r pap

erBac

kgro

und

Conce

rnin

g C

ondom

iniu

m

Conve

rsio

ns

in S

an F

ranci

sco

Dat

aab

out

Condom

iniu

m C

onve

rsio

ns

in

San

Fra

nci

sco

Eco

nom

ics

of Condom

iniu

m C

onve

rsio

ns

GIS

Applic

atio

n t

o C

ondom

iniu

m

Conve

rsio

ns

Supply

-sid

eD

eman

d-s

ide

(in e

arlie

r pap

er)

San

Fra

nci

sco v

s. S

an D

iego

Rel

atio

nsh

ip t

o E

arlie

r Pa

per

This

pap

er e

xten

ds

the

empiric

al/G

IS

anal

ysis

to a

longer

per

iod o

f tim

eThis

pap

er e

xam

ines

“su

pply

-sid

e”in

det

ail

Ear

lier

pap

er h

as d

etai

led “

dem

and-

side”

theo

retica

l dev

elopm

ent

Bac

kgro

und C

once

rnin

g C

ondom

iniu

m

Conve

rsio

ns

in S

an F

ranci

sco

San

Fra

nci

sco is

the

only

City-

County

in

Cal

iforn

ia

177 C

ensu

s Tra

cts

in C

ity-

County

of

San

Fra

nci

sco;

575 C

ensu

s Blo

ck-

Gro

ups

65%

of

housi

ng u

nits

in S

an

Fran

cisc

o a

re r

enta

l units

What

are

condom

iniu

m

conve

rsio

ns?

chan

ge

in t

he

typ

e o

f o

wn

ers

hip

of re

al

pro

per

ty t

o c

ondom

iniu

m,

com

munity

apar

tmen

t pro

ject

or

stock

cooper

ativ

e an

d in

whic

h t

wo

or

mo

re u

nit

sof

such

pro

ject

s ar

e cr

eate

d w

ith

in a

n e

xis

tin

g s

tru

ctu

re

Ow

ners

hip

C

on

do

min

ium

sR

en

tal

Ap

art

men

ts

San

Fra

nci

sco:

What

are

the

public

polic

y is

sues

in

volv

ing c

ondo c

onve

rsio

ns?

Co

nd

o c

on

vers

ion

s ch

an

ge t

he b

ala

nce

b

etw

een

ren

tal an

d o

wn

ers

hip

ho

usi

ng

Posi

tive

Asp

ects

:N

egat

ive

Asp

ects

:

+Pr

ovi

de

affo

rdab

le

ow

ner

ship

housi

ng

+Im

pro

ve t

he

housi

ng

stock

and incr

ease

pro

per

ty v

alues

thro

ugh

upgra

des

-Red

uce

the

apar

tmen

t re

nta

l in

vento

ry,

ther

eby

incr

easi

ng r

ents

-Li

mit h

ousi

ng o

ptions

for

low

-inco

me

peo

ple

San

Fra

nci

sco C

ondo C

onve

rsio

n

Ord

inan

ce

Key f

eatu

res:

Larg

e co

mple

xes

built

for

renta

l housi

ng a

nd o

ccupie

d b

y te

nan

ts

cannot

conve

rt

Condo c

onve

rsio

ns

are

limited

to

ow

ner

-occ

upie

d b

uild

ings

of si

x units

or

less

and t

o o

nly

200 a

pplic

atio

ns

(i.e

. build

ings)

per

yea

r

Lott

ery

syst

em d

esig

ned

to a

lloca

te

appro

vals

San

Fra

nci

sco D

ata

U.S

. Cen

sus

dat

a on S

an F

ranci

sco c

ensu

s tr

acts

and b

lock

gro

ups

–in

cludes

dat

a on

Housi

ng s

tock

(re

nta

l an

d o

wner

-occ

upie

d)

Ow

ner

’sas

sess

men

t of house

val

ue,

Ren

ter’s

report

ed r

ent

pay

men

ts,

med

ian inco

me,

and

dem

ogra

phic

var

iable

s (i

ncl

udin

g e

thnic

/rac

ial

clas

sifica

tion)

San

Fra

nci

sco E

nte

rprise

GIS

web

site

San

Fra

nci

sco D

epar

tmen

t of Public

Work

s (f

or

dat

a ab

out

condom

iniu

m c

onve

rsio

ns)

San

Fra

nci

sco D

ata

Eco

nom

ic M

odel

(su

pply

sid

e)

Model

exa

min

es b

oth

supply

-sid

e an

d

dem

and-s

ide

variab

les

Supply

sid

e is

sig

nific

antly

affe

cted

by

regula

tion

Lim

ited

lan

d a

vaila

bili

ty a

nd

limitat

ions

on c

onve

rsio

n m

ean t

hat

su

pply

of

housi

ng

may

not

adju

st

quic

kly

to incr

ease

d d

eman

d (

short

-ru

n m

odel

)

Eco

nom

ic M

odel

(dem

and s

ide)

Eco

nom

ic liter

ature

on t

enure

choic

e

Ten

ure

choic

e m

odel

focu

ses

on c

om

par

ing t

he

satisf

action

a house

hold

der

ives

fro

m o

wnin

g v

s. t

he

satisf

action

it d

eriv

es f

rom

ren

ting (

Hen

der

son a

nd

Ioan

nid

es[1

983])

Ten

ure

choic

e m

odel

can

als

o b

e m

odifie

d t

o a

pply

to

diffe

rent

types

of

ow

ner

ship

(e.

g.,

ten

ants

in c

om

mon

vs.

indiv

iduat

ed o

wner

ship

)

Ten

ure

typ

e w

ithin

the

sam

e st

ruct

ure

may

yie

ld

diffe

rent

leve

ls o

f sa

tisf

action a

nd b

e as

soci

ated

with

diffe

rent

cost

s

Model

Exp

ecta

tions

(supply

sid

e)In

the

short

run,

more

conve

rsio

ns

should

occ

ur

wher

e th

e su

pply

of pote

ntial

conve

rsio

ns

is t

he

gre

ates

t

Sugges

ts looki

ng a

t ab

solu

te o

r re

lative

mea

sure

s of

supply

of re

nta

l housi

ng

Mea

sure

s in

clude

pro

port

ion o

f re

nta

l housi

ng t

o o

wner

-occ

upie

d h

ousi

ng a

nd p

roport

ion o

f re

nta

l housi

ng in o

ne

area

rel

ativ

e to

the

city

-wid

e st

ock

of

renta

l housi

ng

Sugges

ts looki

ng a

t m

ore

ref

ined

mea

sure

of

renta

l housi

ng in a

ppro

priat

e si

zed u

nits

Mea

sure

s in

clude

the

pro

port

ion o

f re

nta

l housi

ng in

build

ings

with a

spec

ifie

d n

um

ber

of

units

in o

ne

area

re

lative

to t

he

city

-wid

e num

ber

of

renta

l units

in b

uild

ings

with t

he

spec

ifie

d n

um

ber

of

units

Model

Exp

ecta

tions

(dem

and s

ide)

Whet

her

ow

nin

g o

r re

nting is

bet

ter

for

a par

ticu

lar

house

hold

dep

ends

on s

ever

al fac

tors

Pric

e vs

. re

nt

for

com

par

able

pro

per

ties

(m

ort

gag

e in

tere

st r

ate

affe

cts

the

cost

of

ow

ner

-occ

upie

d

housi

ng)

Exp

ect

price

-to-r

ent

ratio t

o b

e posi

tive

ly r

elat

ed w

ith

tenden

cy t

o o

wn;

spec

ula

tion o

n incr

ease

in h

ouse

va

lue

also

a p

oss

ible

exp

lanat

ion

Inco

me:

ow

ner

-occ

upie

d h

ousi

ng is

assu

med

to b

e a

“norm

al”

good,

like

HD

TVs,

unlik

e sh

oe

repai

rs.

Exp

ect

inco

me

to b

e posi

tive

ly r

elat

ed t

o t

enden

cy t

o

ow

n

Em

piric

al M

ethods

Cre

ate

GIS

lay

ers

of

variab

les

1)

Ren

tal an

d O

wn

er-

occ

up

ied

ho

usi

ng

u

nit

s2

)p

rice

-to

-ren

tra

tio

3

)m

ed

ian

in

com

e

4)

perc

en

t A

sian

an

d

5)

perc

en

t A

fric

an

Am

eri

can

Geo

code

addre

sses

for

various

year

sbet

wee

n 2

000

and 2

006

Cre

ate

map

ove

rlay

s of

condo c

onve

rsio

ns

with

laye

rs r

epre

senting t

he

mai

nva

riab

les

of in

tere

st

Geo

code

addre

sses

of al

l co

nve

rsio

ns

Map

conve

rsio

ns

and v

aria

ble

s

Supply

-sid

eVar

iable

s

Sto

ck o

f Ren

tal

Housi

ng

Pric

e-to

-Ren

t Rat

io

Const

ruct

ion

Cost

s

Inte

rest

ra

tes*

Condo

conve

rsio

n

* I

nte

rest

rat

es a

ffec

t both

the

dem

and s

ide

(mort

gag

e in

tere

st)

and t

he

supply

sid

e (c

onst

ruct

ion loan

s an

d d

isco

unting o

f in

com

e st

ream

s fr

om

ren

tal pro

per

ties

.

Why

thes

e su

pply

-sid

e va

riab

les?

The

liter

ature

and t

he

econom

ic m

odel

support

thes

eva

riab

les

as d

eter

min

ants

of co

ndo c

onve

rsio

ns:

Co

nst

ruct

ion

Co

sts:

condo c

onve

rsio

ns

inva

riab

ly

require

rem

odel

ing t

o c

om

ply

with c

odes

Inte

rest

Rate

s:re

flec

ted in c

ost

of co

nst

ruct

ion loan

s an

d u

sed t

o a

sses

s th

e dis

counte

d v

alue

of

a st

ream

of

renta

l pay

men

ts

Sto

ck o

f R

en

tal H

ou

sin

g (

esp

eci

ally in

ap

pro

pri

ate

si

ze r

an

ge):

conve

rsio

ns

occ

ur

of existing

housi

ng

(short

-run)

Ren

tal vs

. O

wner

-Occ

upie

d H

ousi

ng

by

Cen

sus

Tra

ct

Dark

est

: 1

00

%-8

0%

ren

tal

Lig

hte

st:

20

%-8

% r

en

tal

Dis

trib

ution o

f th

e Ren

tal H

ousi

ng

Sto

ck (

as p

erce

nt

of Tota

l Ren

tal U

nits)

Dark

est

: 2

.01

%-1

.19

%Lig

hte

st:

0.2

4%

-0.0

1%

Dis

trib

ution o

f th

e Ren

tal H

ousi

ng

Sto

ck (

as p

erce

nt

of Tota

l Ren

tal U

nits)

Dark

est

: 2

.01

%-1

.19

%Lig

hte

st:

0.2

4%

-0.0

1%

Sel

ecte

d:

tra

cts

above

Med

ian (

appro

x. 0

.48)

Condo C

onve

rsio

ns

(2002 &

2003)

and

Dis

trib

ution o

f Ren

tal H

ousi

ng S

tock

Condo C

onve

rsio

ns

(2002 &

2003)

and C

ensu

s Tra

cts

with M

ore

than

Med

ian S

har

e of

Ren

tal

Sto

ck

Condo C

onve

rsio

ns

and D

istr

ibution o

f th

e Ren

tal

Housi

ng S

tock

in B

uild

ings

with a

Sm

all N

um

ber

of

Units

(as

per

cent

of Tota

l Ren

tal U

nits

in s

uch

build

ings)

Dark

est

: 1

.63

%-1

.07

%Lig

hte

st:

0.2

1%

-0.0

0%

Condo C

onve

rsio

ns

(2002 &

2003)

and C

ensu

s Tra

cts

with M

ore

than

Med

ian S

har

e of

Sm

all U

nit

Ren

tal Sto

ck

Dem

and-s

ide

Var

iable

s

Med

ian

Inco

me

Pric

e-to

-Ren

t Rat

io*

Perc

ent

Asi

an

Perc

ent

Afr

ican

Am

eric

an

Condo

conve

rsio

n

* T

he

valu

e use

d in c

alcu

lations

is m

ore

com

ple

x: {[(

P*r)

/12]R

} w

her

e r

is t

he

annual

mort

gag

e in

tere

st r

ate,

P is

the

med

ian h

ouse

val

ue

and R

is

the

med

ian r

ent.

See

the

pap

er f

or

det

ails

.

Why

thes

e dem

and-s

ide

variab

les?

The

liter

ature

and t

he

econom

ic m

odel

support

thes

eva

riab

les

as d

eter

min

ants

of co

ndo c

onve

rsio

ns:

Pri

ce-t

o-r

en

t:th

e va

lue

of ow

nin

g v

s. r

enting is

bas

ed

on a

com

par

ison o

f th

e as

set

price

to t

he

cost

of re

nta

l

Med

ian

inco

me:

ow

ner

ship

is

a “n

orm

al”

good –

a good

the

dem

and for

whic

h incr

ease

s w

hen

inco

me

incr

ease

s

Perc

en

tA

sian

/P

erc

en

t A

fric

an

Am

eri

can

:oth

er

fact

ors

hel

d c

onst

ant,

Asi

ans

(esp

ecia

lly C

hin

ese)

hav

e a

hig

her

pro

bab

ility

of bei

ng o

wner

-occ

upie

rs,

and A

fric

an

Am

eric

ans

hav

e a

low

er p

robab

ility

of bei

ng o

wner

-occ

upie

rs

Dis

trib

ution o

f Pr

ice-

to-R

ent

Rat

ioC

ensu

s B

lock

Gro

ups

in P

rice-

to-R

ent R

atio

Cat

egor

ies

(Tot

al N

umbe

r of B

lock

Gro

ups

= 57

5)

020406080100

120

140

160

0 .01-1.

00 1.01-1

.501.5

1-2.00

2.01-2

.502.5

1-3.00

3.01-3

.503.5

1-4.00

4.01-4

.504.5

1-5.00

5.01 p

lus

Pric

e-to

-Ren

t Rat

io

Number of Census Block Groups

Cate

go

ry c

on

tain

ing

med

ian

valu

em

ed

ian

valu

e 1

.73

Dis

trib

ution o

f M

edia

n H

ouse

hold

In

com

e

Med

ian

Hous

ehol

d In

com

e

020406080100

120

140 $0

-$15,0

00 $15,0

01-$2

5,000 $2

5,001

-$35,0

00 $35,0

01-$4

5,000 $4

5,001

-$55,0

00 $55,0

01-$6

5,000 $6

5,001

-$75,0

00 $75,0

01-$8

5,000 $8

5,001

-$95,0

00$9

5,001

-$105

,000

$105

,001-$

115,0

00

$115

,001-$

125,0

00

$125

,001-$

135,0

00$1

35,00

1-$14

5,000

$145

,001-$

155,0

00

$155

,001-$

165,0

00

$165

,001-$

175,0

00

$175

,001-$

185,0

00

$185

,001-$

195,0

00

$195

,001-$

205,0

00

Number of Census Block Groups

Cate

go

ry c

on

tain

ing

med

ian

valu

e$

59

,35

1

Pric

e-to

-Ren

t Rat

io &

Condo C

onve

rsio

ns

Hig

her

pri

ce-t

o-r

en

t ra

tio

Mo

re c

on

do

co

nvers

ion

s

Med

ian H

ouse

hold

Inco

me

& C

ondo

Conve

rsio

ns

Hig

her

Inco

me

Mo

re c

on

do

co

nvers

ion

s

San

Fra

nci

sco D

ata

Freq

uen

cy D

istr

ibution:

Condo C

onve

rsio

ns

per

Blo

ck G

roup in 2

000

Cla

sses

Freq

uenc

y0

- 29,

999

130

- 49

,999

1150

- 69

,999

7870

- 89

,999

2990

- 10

9,99

98

110,

000

and

over

9To

tal

136

Cla

sses

Freq

uenc

y0.

002

0.01

- 1.

002

1.01

- 1.

505

1.51

- 2.

0036

2.01

- 2.

5035

2.51

- 3.

0023

3.01

- 3.

5016

3.51

- 4.

0011

4.01

- 4.

506

4.51

- 5.

000

5.01

and

ove

r0

Tota

l13

6

Sourc

e: A

uth

ors

’ca

lcula

tions

bas

ed o

n c

ondo c

onve

rsio

n d

ata

supplie

d b

y San

Fran

cisc

o D

epar

tmen

t of Public

Work

s

575 B

lock

Gro

ups

136 c

onve

rsio

ns

in 2

000

155 c

onve

rsio

ns

in 2

001

91%

34%

93%

67%

San

Fra

nci

sco D

ata

(cont.

)

Freq

uen

cy D

istr

ibution:

Condo C

onve

rsio

ns

per

Blo

ck G

roup in 2

001

Cla

sses

Freq

uenc

y0

- 29,

999

030

- 49

,999

2150

- 69

,999

6770

- 89

,999

4590

- 10

9,99

911

110,

000

and

over

11To

tal

155

Cla

sses

Freq

uenc

y0.

002

0.01

- 1.

003

1.01

- 1.

5013

1.51

- 2.

0027

2.01

- 2.

5045

2.51

- 3.

0030

3.01

- 3.

5020

3.51

- 4.

009

4.01

- 4.

503

4.51

- 5.

002

5.01

and

ove

r1

Tota

l15

5

Sourc

e: A

uth

ors

’ca

lcula

tions

bas

ed o

n c

ondo c

onve

rsio

n d

ata

supplie

d b

y San

Fran

cisc

o D

epar

tmen

t of Public

Work

s

86%

43%

88%

71%

Res

ults

Hig

her

pri

ce-t

o-r

en

t ra

tio

Mo

re c

on

do

co

nvers

ion

s

Hig

her

Inco

me

Mo

re c

on

do

co

nvers

ion

s

Hig

her

Perc

en

tag

e

Asi

an

No

str

on

g c

orr

ela

tio

n

Hig

her

Perc

en

t A

fric

an

Am

eri

can

Few

er

or

no

co

nd

o

con

vers

ion

s

Gre

ate

r re

lati

ve s

up

ply

Mo

re c

on

do

co

nvers

ion

s

Wea

knes

ses

of

the

Anal

ysis

No c

har

acte

rist

ics

dat

a fo

r co

ndo

conve

rsio

ns

Usi

ng c

ensu

s tr

acts

and b

lock

gro

ups

invo

lves

aggre

gat

ion w

hic

h d

estr

oys

in

form

atio

n

The

anal

ysis

is

sugges

tive

but

more

form

al

stat

istica

l an

alys

is s

hould

be

done

Com

men

ts W

elco

me

J. M

Pogodzi

nsk

ijm

p@

pogodzi

nsk

i.net

Alic

ia P

arke

ral

ites

us@

yahoo.c

om

Tito V

ander

mey

den

tvan

der

mey

den

@nex

tbus.

com