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WHO WILL SHAPE TOMORROW’S
CITIES?
Or: Why planners need to start use big data
Future of open data in regenerating Cities
// ODW NYC 2019
Tel-Aviv city’s rezoning feasibility research as a case study
Dana Chermesh, March 2019
dana@drawbrooklyn.com
github.com/danachermesh
HOW DOWE SHAPE CITIES?
WHO IS SHAPING CITIES
TODAY?
ALL CITIES ARE SUDDENLY SO
SMART!
SMART CITY HAS TO START
WITH
SMART PLANNING
TLV REZONING FEASIBILITY ANALYSIS
A data-driven, granular approach to urban planning //
Dana Chermesh, Apr 2018
Borough 3 Borough 4
The New
North
The Old
North
Jaffa
(Borough
Borough
5
Boroughs
1+2
Borough
6
Tel-Aviv
City
Center
Mediterranea
n
Sea
1. HISTORY
‣ Approved: December 2017
‣ One out of four renewal plans being prepared for Tel-
Aviv city center boroughs (3,4,5,6) and the first one to
be approved
2. Borough 3
renewal plan
Residential Buildings only!*
Plan TA/3616/A
Instructions, Israeli
Planning Administrations
Plan TA/3616/A
Instructions, Israeli
Planning Administrations
The plan is Incentive-based
*
=
= M2
$
The Incentive is Floor-Area
(The developer burdens
all the costs of a project,
including giving back to
homeowners their existing floor
area)
2. Borough 3
renewal plan
total addition of 8,000 housing units is expected
According to the city, the plan can
create 16,000 new housing units,
with an assumption of 50%
utilization >>
* Today there are 34,000 housing units in borough 3
Additional ^^ Existing
> prediction
2. Borough 3
renewal plan
1 Building
Footprint
M2
Floor
Area
%
23
> parameters
Plan TA/3616/A
Instructions, Israeli
Floor Area Ratio
(FAR)
(lot coverage)
(lot coverage X
floors)
2. Borough 3
renewal plan
TLV,
Israel
Borough no.3
“The Old North”
neighborhood
Borough no.4
“The New North”
neighborhood
The City Center
of Tel-Aviv,
Israel
NYU CUSP,
2017-18
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized
3. DATA &
METHODOLO
3.1 SPATIAL DATA // GIS TLV[search zoning]
3.1 SPATIAL DATA // GIS TLV[download SHAPEFILES]
3.2 reading, cleaning, munging data
4.1 Exploratory Analysis:
Current built environment
The coherence of the TLV urban space derives from a similar FAR
4.1 Exploratory Analysis:
Current built environment
4.2 Predictive Analysis:
FUTURE built environment
METHODOLO
GY
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized< Python code >
gis dataPlan instructions
<
<
<
<
4.2 Predictive Analysis:
FUTURE built environment
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized
METHODOLO
GY
Anticipated floor area
m2
M2
<
<
< Python code >
gis dataPlan instructions
<
<
<
<
Considering the give backs to the dwellers of their
existing floor area (+more), the allowed FA needs to
be a large enough incentive in order to assume the
deal is economically feasible
4.3 Predictive Analysis:
ECONOMIC
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized
METHODOLO
GY
<
<
< Python code >
feasible?
Anticipated floor area
Existing floor area<
<
gis dataPlan instructions
<
<
<
<
4.3 Predictive Analysis:
ECONOMIC
<=
0.5
<500m2 :
0.45
>750m2 :
0.55
Economic feasibility threshold:
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized
METHODOLO
GY
<
<
< Python code >
feasible?
Anticipated floor area
Existing floor area<
<
gis dataPlan instructions
<
<
<
<
1640
521
4.3 Predictive Analysis:
ECONOMIC
1642
3,390 housing units ==
60% less than the city’s formal prediction
of 8,000 units
4.3 Predictive Analysis:
ECONOMIC
Will Tel-Aviv
be renewed?
4.3 Predictive Analysis:
ECONOMIC
<=
0.5
<500m2 :
0.45
>750m2 :
0.55
Economic feasibility threshold:
Writing a python code that reads real gis
data of every building and parcel in the
borough, calculates it according to the
rezoning’s instructions to assess the
allowed floor area to be built. This to
determine whether the incentive per
building is big enough to assume it will
be utilized
METHODOLO
GY
<
<
< Python code >
feasible?
Anticipated floor area
Existing floor area<
<
gis dataPlan instructions
<
<
<
<
0.6
0.7
0.8
Or
Meirav Moran, Haaretz, July 2018
‫צילום‬:‫גבריאל‬‫ויינברג‬
WE CAN BE SMARTER PLANNERS

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Who will shape tomorrows cities odw19

  • 1. WHO WILL SHAPE TOMORROW’S CITIES? Or: Why planners need to start use big data Future of open data in regenerating Cities // ODW NYC 2019 Tel-Aviv city’s rezoning feasibility research as a case study Dana Chermesh, March 2019 dana@drawbrooklyn.com github.com/danachermesh
  • 2. HOW DOWE SHAPE CITIES?
  • 3. WHO IS SHAPING CITIES TODAY?
  • 4.
  • 5. ALL CITIES ARE SUDDENLY SO SMART!
  • 6. SMART CITY HAS TO START WITH SMART PLANNING
  • 7. TLV REZONING FEASIBILITY ANALYSIS A data-driven, granular approach to urban planning // Dana Chermesh, Apr 2018
  • 8.
  • 9. Borough 3 Borough 4 The New North The Old North Jaffa (Borough Borough 5 Boroughs 1+2 Borough 6 Tel-Aviv City Center Mediterranea n Sea 1. HISTORY
  • 10. ‣ Approved: December 2017 ‣ One out of four renewal plans being prepared for Tel- Aviv city center boroughs (3,4,5,6) and the first one to be approved 2. Borough 3 renewal plan Residential Buildings only!* Plan TA/3616/A Instructions, Israeli Planning Administrations
  • 11. Plan TA/3616/A Instructions, Israeli Planning Administrations The plan is Incentive-based * = = M2 $ The Incentive is Floor-Area (The developer burdens all the costs of a project, including giving back to homeowners their existing floor area) 2. Borough 3 renewal plan
  • 12. total addition of 8,000 housing units is expected According to the city, the plan can create 16,000 new housing units, with an assumption of 50% utilization >> * Today there are 34,000 housing units in borough 3 Additional ^^ Existing > prediction 2. Borough 3 renewal plan
  • 13. 1 Building Footprint M2 Floor Area % 23 > parameters Plan TA/3616/A Instructions, Israeli Floor Area Ratio (FAR) (lot coverage) (lot coverage X floors) 2. Borough 3 renewal plan
  • 14. TLV, Israel Borough no.3 “The Old North” neighborhood Borough no.4 “The New North” neighborhood The City Center of Tel-Aviv, Israel
  • 16. Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized 3. DATA & METHODOLO
  • 17. 3.1 SPATIAL DATA // GIS TLV[search zoning]
  • 18. 3.1 SPATIAL DATA // GIS TLV[download SHAPEFILES]
  • 19. 3.2 reading, cleaning, munging data
  • 21. The coherence of the TLV urban space derives from a similar FAR 4.1 Exploratory Analysis: Current built environment
  • 22. 4.2 Predictive Analysis: FUTURE built environment METHODOLO GY Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized< Python code > gis dataPlan instructions < < < <
  • 23. 4.2 Predictive Analysis: FUTURE built environment Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized METHODOLO GY Anticipated floor area m2 M2 < < < Python code > gis dataPlan instructions < < < <
  • 24. Considering the give backs to the dwellers of their existing floor area (+more), the allowed FA needs to be a large enough incentive in order to assume the deal is economically feasible 4.3 Predictive Analysis: ECONOMIC Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized METHODOLO GY < < < Python code > feasible? Anticipated floor area Existing floor area< < gis dataPlan instructions < < < <
  • 25. 4.3 Predictive Analysis: ECONOMIC <= 0.5 <500m2 : 0.45 >750m2 : 0.55 Economic feasibility threshold: Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized METHODOLO GY < < < Python code > feasible? Anticipated floor area Existing floor area< < gis dataPlan instructions < < < <
  • 27. 3,390 housing units == 60% less than the city’s formal prediction of 8,000 units 4.3 Predictive Analysis: ECONOMIC Will Tel-Aviv be renewed?
  • 28. 4.3 Predictive Analysis: ECONOMIC <= 0.5 <500m2 : 0.45 >750m2 : 0.55 Economic feasibility threshold: Writing a python code that reads real gis data of every building and parcel in the borough, calculates it according to the rezoning’s instructions to assess the allowed floor area to be built. This to determine whether the incentive per building is big enough to assume it will be utilized METHODOLO GY < < < Python code > feasible? Anticipated floor area Existing floor area< < gis dataPlan instructions < < < < 0.6 0.7 0.8