Geospatial Analytics Portfolio by loubna_sasso

GEOSPATIAL ANALYTICS PORTFOLIO

CONTENT

MSC SMART CITIES AND URBAN ANALYTICS

EXPLORING AREAS OF UPGRADE BASED ON THE15-MINUTE CITY CONCEPT

PATTERNS OF STOP AND FRISK ACROSS NYC

LIVEABLE LONDON: FINDING THE IDEAL NEIGHBOURHOOD FOR YOU

IMPACT OF AIRBNB ON LOCAL AREA RENTAL MARKETS IN LONDON

ASSESSING THE RESILIENCE OF LONDON’S UNDERGROUND NETWORK

WORK EXPERIENCE

MINISTRY OF HOUSING

SAUDI RAILWAY ORGANIZATION

DIRRIYAH GATE SUPERVISORY AREA RIYADH TRANSIT ORIENTED DEVELOPMENT

02 01 03 04 05 06 07 08 09

EXPLORING AREAS OF UPGRADE BASED ON THE15-MINUTE CITY CONCEPT

A case study of London

In collaboration with Transport for London, the project seeks to address climate change through a long term sustainable decarbonization strategy. This involves rethinking the way cities operate and accordingly how people interact and function within them through the concept of the 15 minute city. The model is modified to adapt to the context of London’s decentralized urban structure and accordingly every 100m spatial unit across the city is analysed using the measures of proximity, diversity and density, thus providing an overall score based on how it performs as a 15 minute city. Through this, the model can seek to understand which areas in London are under-performing and therefore would benefit the most from investment upgrades to ensure equitable and inclusive spaces based on the fifteenminute city concept.

Reproducible R-code: https://github.com/ LoubnaSasso/CASADissertation_LS/blob/main/ CASA_Dissertation.rmd

ACCESS TO ESSENTIAL SERVICES: FOUR PILLARS OF THE MODEL: LIVING ENJOYING WORKING CARING SUPPLYING LEARNING

DETAILED METHODOLOGICAL WORK-FLOW

SERVICE CLUSTERING CentroidpointsofallclusteredservicesdevelopedusingDBSCANanalysis.CentroidpointsareoverlayedwithLondon’s Towncentershierarchyandcategorizedaccordinglytoprovideinsightonthecharacterofdifferentclusters.Theinsetmap showsanexampleinBromleyboroughwhereclusteredservicecentroidsareoverlayedwithexistingtowncenterboundar iesandclassifiedaccordingly.

London’sproximitymapshowingthetimetakentowalkfromevery100mgridspatialunittotheclosestclustereddesti

PROXIMITY MEASURE

nationcentroid.TheBarchartsummarizesthemedianpercentageoflandwithineachboroughthatfallwithin5,10,15or morethan15minutes’walkfromeveryorigin100mgridtotheclosestdestinationclusterpoint.

DIVERSITY MEASURE Londonfunctionalcompletenessmaprevelingthediversityofeachdestinationclusterthatisaccessedfromevery100m gridspatialunitacrossLondon.TheinsetmapshowsandexampleinBrentandEalingwheretheexistingLondontowncen terboundariesareoverlayedwiththeclusteredservicepointstoshowthatthehighestdegreeoffunctionalcompleteness alignwithpreexitingtowncentersboundary

DENSITY MEASURE LondonpopulationdensityperhectareobtainedbyaggregatingthedataatLSOAleveltoeach100mgridspatialunit

SERVICE

West Wickham

Shortlands

Plaistow and Sundridge

Petts Wood and Knoll

Penge and Cator

Orpington

Mottingham and Chislehurst North

Kelsey and Eden Park

River

Hayes and Coney Hall

Parsloes

Farnborough and Crofton

Mayesbrook

Longbridge

Goresbrook

Gascoigne

Eastbury

Eastbrook

Darwin

Crystal Palace

Cray Valley West

Cray Valley East

Copers Cope

Clock House

Chislehurst

Chelsfield and Pratts Bottom

Bromley Town

Chadwell Heath

Bromley Common and Keston

Becontree

Alibon

Abbey

Supplying

PER WARD

DIVERSITY MEASURE

Shortlands West Wickham

Plaistow and…

Petts Wood and…

Mottingham and… Orpington Penge and Cator

Kelsey and Eden…

Cray Valley East Cray Valley West Crystal Palace Darwin Farnborough and… Hayes and Coney…

Chelsfield and… Chislehurst Clock House Copers Cope

Bromley Town

Bromley Common…

Biggin Hill

Bickley

Biggin Hill

Bickley

Median

median

BREAKDOWN

Figure2:Breakdownofthemediannumberofservicesofferedfor eachofthe5categorieswithineachwardinBromley Figure1:ReferencemaphighlightingthewardsinBromley Figure3:Bromleyfunctionalcompletenessmaprevelingthediversityofeachdestinationclusterthatisaccessesfromevery100mgridspatialunitacrossBromley. Themapoverlaysexistingtowncenterboundaryandclustereddestinationpointstoshowthatthehighestdegreeoffunctionalcompletenessofdestinationcentroid pointsalignwithpre-exitingtowncentersboundary BROMLEY (PAGE 1 OF 2)

5 10 15 20 25

Heath

Thames Valence Village Whalebone

number of services Supplying services Living services Learning services Enjoying services Caring services

1 2 3 4 5 6 7

functional completness per ward

5 10 15 20 25

number of services

services Living services Learning services Enjoying services Caring services REFERENCE MAP

PROXIMITY MEASURE

West Wickham

Shortlands

Plaistow and Sundridge

Petts Wood and Knoll

Penge and Cator

Mottingham & Chislehurst North Orpington

Kelsey and Eden Park

Hayes and Coney Hall

Farnborough and Crofton

Darwin

Cray Valley West Crystal Palace

Cray Valley East

Clock House Copers Cope

Chelsfield & Pratts Bottom Chislehurst

Bromley Town

Bromley Common and Keston

Bickley Biggin Hill

Figure4:Bromleyproximitymapshowingthetimetakentowalkfromevery100mgridspatialunittotheclosestclustereddestination centroid. The Bar chart summariz esthemedianpercentageoflandwithineachwardthatfallwithin5,10,15ormorethan15minutes’walkfromeveryorigin100mgridtotheclosest destination cluster point.

DENSITY MEASURE SCORING

Figure5:Bromleypopulationdensityobtainedbyaggregatingthe

Figure6:Bromleypopulationdensityplottedalongsidethescoresofproximityanddiversity

BROMLEY (PAGE 2 OF 2)

dataatLSOAleveltoeach100mgridspatialunit

aswellasthecombinedscorestoprovideinsightonrelationshipbetweendemandforservices (populationdensity)andthesupplyoffered (diversityandproximityscoremeasures).

0% 20% 40% 60% 80% 100%

median % of land per ward 5 mins 10 mins 15 mins 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 0 10 20 30 40 50 60 70 80 Bickley Biggin Hill Bromley Common and Keston Bromley Town Chelsfield and Pratts Bottom Chislehurst Clock House Copers Cope Cray Valley East Cray Valley West Crystal Palace Darwin Farnborough and Crofton Hayes and Coney Hall Kelsey and Eden Park Mottingham and Chislehurst North Orpington Penge and Cator Petts Wood and Knoll Plaistow and Sundridge Shortlands West Wickham scorepopulation/ha Population per hectar Median diversity score Median proximity score Median Combined score

02 PATTERNS OF STOP AND FRISK ACROSS NYC

GIS, R programming

Stop and frisk policies has been the subject of racial profiling over the years, therefore analysing where these policies are being implemented across NYC and who they are targeted towards is essential in order to help overcome racial profiling. Studies show black people were stopped more frequently than white people. By analysing where these differences occur in different parts on NYC can aid the implementation of strategies that support the elimination of racial profiling. The datasets used for this analysis comes from NYC open data and New York City Police Department. The study analyses patterns of stop and frisk of black and white people over the summer period (June, July, August, September) and a comparison is between the two. The results show that some precincts exhibit similarities in spatial autocorrelation, with highest levels of spatial autocorrelation for inside Manhattan. This could indicate there may be other factors such as internal governance within these precincts that are causing such strong spatial similarities between these precincts. Moreover, internal training of police forces within areas of high clusters of stop and frisk (the Bronx) can be introduced to control racial profiling of black people.

Reproducible R-code: https://github.com/ LoubnaSasso/CASA_stop_ frisk/blob/main/exam_ response.Rmd

KERNEL DENSITY SQF: WHITE PEOPLE

LOCAL MORAN’S

MATRIX

1. CALCULATE POLYGON CENTROIDS SQF: BLACK PEOPLE SQF: WHITE PEOPLE 2. GENERATE NEIGHBOURS LIST 3. CREATE SPATIAL WEIGHTS MATRIX USING ROW STANDARDIZATION

I SPATIAL WEIGHTS

03 LIVEABLE LONDON: FINDING THE IDEAL NEIGHBOURHOOD FOR YOU

Spatial Data Capture, Storage & Analysis (SQL, APIs & web development)

Every year people from different parts of the UK and across the world choose to make London their home. Whether it be for work, education, business or family, it is undeniable that London offers a surplus of opportunities and reasons to relocate for a diverse groups of people. The variety of options can be captivating, yet daunting at the same time. Something as straightforward as choosing where to live can be complicated since London is huge and comprises of many distinct neighbourhoods that suit the needs of particular groups of people. Therefore, to simplify the process, this project aims to perform a cluster analysis on six livability indicators in order to visualizes the tradeoff between different livability indicators for locations across London . This will help people of different profiles identify their ideal neighbourhood based on their prioritized livability metrics. It will also help planners identifying wards that underperform in one or more of the metrics as well as understand the varied geography of London.

Reproducible Python, HTML, CSS, JavaScript code: https://github.com/LoubnaSasso/ CASA_livable_london

EDUCATION HOUSING TRANSPORT POLLUTION

OPEN SPACE

SAFETY LIVABILITY CLUSTERS

INTERACTIVE WEBSITE: HTML | CSS | J ava S C rip T | M apbox 1. INTRODUCING LIVABILITY METRICS 2. EXPLORING WARD LIVABILITY SCORES

4. INTERACTIVE CLUSTER VISUALIZATION 3. INTRODUCING USER PROFILES

IMPACT OF AIRBNB ON LOCAL AREA RENTAL MAR KETS IN LONDON

Foundations of Spatial Data Science | Python

London continues to have one of the highest rental rates compared to other cities around the globe. The increase in short term rental market such as Airbnb has only exacerbated the residential rental market as the people of London are shifting their units in to short term rentals, reducing housing supply and consequently driving up rent prices in a city where prices were already very high. (Todd et al. 2021). Whilst the mayor of London is already setting policies to introduce affordable homes in order to help residents from being priced out of their homes, other factors that are causing prices to rise in the first place must be addressed. This report therefore addresses the Mayor of London in order to hypothesize that Airbnb is contributing to the increase in average asking rent prices.

04 AIRBNB LISTINGS: DENSITY CHANGE 2014-2020 MEDIAN RENT CHANGE 2014-2020 Reproducible Python code: https://github.com/LoubnaSasso/ Airbnb_fsds/blob/main/ Assessment%203_FSDS.ipynb Figure 2Figure 3 Figure 4

The cumulative relationship between the two can be seen in Fig.5. The graph shows how the increase in Airbnb listings over the last six years correlates to an increase in median rent prices. The R2 value of 0.25 shows that 25% of the changes in price can be explained by the changes Airbnb concentration.

CHANGE IN AIRBNB

TO MEDIAN

MEDIAN RENT AND MEAN REVENUE PER BOROUGH : 2020

2. Compa Commercial Airbnb average monthly revenue and the median monthly asking price: The gaining considerably higher profits supply were “Entire home/Apt” minimum stay of 88 nights commercial listings

LISTINGS CONCENTRATION

RENT 2014-2020

Figure 5

Figure 7 Limitat ions & Recommendation

Reproducible Python code: https://github.com/ LoubnaSasso/Urban_ Simulation/blob/main/ Assessment_final.ipynb

It reflects the stations in London’s transport network that are the major bridges between other stations. High B.C stations reflect a strong influence on the flows of the network and thus the efficiency of commuting through the network. Table 3 and Figure 3 show the top ten ranked nodes for D.C. Stratford has the highest B.C value, flowed by Bank and Monument.

Urban Simulation: Network science & spatial interaction models

BETWEENNESS CENTRALITY

ASSESSING THE RESILIENCE OF LONDON’S UNDERGROUND NETWORK are the network the top ten ranked

1 .2 Impact Measures

A) Size of Giant Components (GC)

The resilience of London’s underground network is critically investigated through various methodologies. The first half of the investigation looks at various centrality and impact measures used to assess the infrastructural network, where stations are connected through only one link, regardless of the number of lines connecting the stations. The second half consider the commuting flows, and discusses the impact of the analysis on the number of people moving from one part of the city to another. Finally the flows are computed using spatial interaction models according to different scenarios and discuss the vulnerability of the network under these new scenarios.

As nodes are removed and the network breaks into separate components, the GC is the component that has the largest number of connected nodes in the network (Sood, 2021). It reflects how connected the network is after removal of stations. When the giant component decreases significantly, the network become far less connected. Giant component can also be used to assess social media networks that start off with many smaller components, but eventually expand into a giant component as the individual components become more connected.

B) Average Shortest Path (SP)

SP between any two nodes is the path connecting the two nodes with minimal length (Bales and Johnson, 2006).

The measure is defined as: Where n is the number of nodes in the graph and d(vi ,vj) is the shortest path between 2 vertices vi and vj. The formula takes the total sum of shortest paths between all vertices, divided over the number of all possible paths The measure has also proven to be very effective in social media networks or even the brain connectivity network (Honey et al., 2007).

1.3 Node Removal

1 .2 Impact Measures

A) Size of Giant Components (GC)

In non sequential removal we use the top ten rank based on the original values calculated. In the sequential method, we recompute the centrality with each removal.

As nodes are removed and the network breaks into separate largest number of connected nodes in the network (Sood, 2021) removal of stations. When the giant component decreases significantly, Giant component can also be used to assess social media networks but eventually expand into a giant component as the individual

CREATE

GEOGRAPHIC DATA DAMMAM L Riyadh-DammamRoad 2 FORMS OF INPUT DATA VISUALIZATION: DATA Input Existing GIS Data in form of feature class/shape file (Usually received from the client) Import CAD layers to GIS Import polygon shapes from Google Earth Import PDF/JPEG to be traced Potential import from Sketchup/ Modular Potential import from City Engine Manually Draw on GIS with Aeriel Overlap Import Data from Excel for further analysis and Visualization Manually add attributes on to the attributes tabel. Receive data from Client 1:100 000A1 : o PO BOX 15326 JEDDAH 2149 KSA www aecom com DATE OF SSUE SKETCH NO CONTENT PROJECT JEDDAH PLANS PROJECTxxxxxx2013 xxxxx 0 2 4 6 81 Km Legend Dammam Governorate Boundary 1450 Urban Growth Boundary Dammam Metropo tan Area Boun Agricu ture Aramco Pipel ne Reserves Commerc a Educat on Governmental Services Health Industrial M xed Use Open Space/Recreat on Park ng Pub ic Fac ties Re igious Res dential Special Uses Tour sm Ut l t es Vacant KingAbdulazizRoad Riyadh DammamRoad King Fahd Road Aramco P p Commercial EducationGovernmental Services Health Industrial Mixed Use Open Space/Recreation Parking Public Facilities Religious Residential Special Uses Tourism Utilities Vacant d for further analysis on to the attributes

Vacant Land 88,978 ha

Land Zoned Residential 31,731 ha

Vacant Land

Zoned Residential 22,594 ha 58,957 plots

Vacant Land

Zoned Residential within Serviced Area (above 1ha)

Villa, Medium & High Rise 7,066 ha 408 plots

Vacant Land

Zoned Residential within Serviced Area (Prioritised Sites)

Villa, Medium & High Rise 3,338 ha 368 plots

STRATEGY ANALYSIS CRITERIA DAMMAM VACANT o JEDDAH PLANS PROJECT DAMMAM VACANT o S C DAMMAM VACANT o D N P E m2 DAMMAM VACANT 1 100 000A1 o EDDAH PLANS PRO ECT0 3 x xx 0 K DAMMAM VACANT 1:100,000A1 : o JEDDAH 2149, KSA PROJECT JEDDAH PLANS PROJECTxxxxxx2013 6 81 No yes Legend Dammam Governorate Boundary 1450 Urban Growth Boundary Dammam Metropolitan Area Boundary Region Boundary Districts

Planning 350 m Existing Key Plan Housing Sites (Serviced Land) Prioritised Sites Evaluation/ Scoring Analysis of Criteria2 3 41 4 5 3

o Existing Serviced Districts Completely Outside Partially City Unnamed 1 2 3 54 6 7 8 9 10 11 12 13 14 15 84 87 340 339 346 344 343 65 363 348 347 362 345 354 353 350 369 357 360 357 370 365 358 359 50 352 351 368 366 371 364 382 373 374 381 101 20 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 4140 42 43 44 45 46 47 48 49 50 51 52 53 54 55 557 8 60 61 62 63 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 83 86 88 89 9190 92 93 94 95 96 97 98 99 105 108 110 113 114 115 118 119 120 123 125 126 128 131 132 1 3 134 137 138 139 140 142 144 14 141 112 136 111 116 117165 143 17 24 192223 135 276 102 129 103 107 150 5 146 147 148 149 151 152 153 154 155 156 157 158 159 160 161 162 163 164 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 22220 1 222 223 224 225 226 227 228 229 230 231 232 233 234 235 23236 7 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 257 266 267 268 269 270 271 272 273 274 275 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 341 342 372 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 264261 258 260 259 265 263 AL- RAJAA AL BUHAYRAH ALHAMMRAA AL ULYA AL SAHIL AL SOUFON AL HARAS AL WATANI AL DANAH AL JNUBYAH AL KURNICH KFUPM AL AQRABYAH ESHBILIA AL THOQBAH AL RAKAHAL JNUBYAH AL JAWHRAH AL KHOBAR AL JNUBYAH AL TRAJJI AL BOSTAN AL KHOZAMA ALHUDA IBN SYNA QURTOBAH AL KHOBAR AL SHAMALYAH AL KHUR AL JESSER ALKAWTHAR AL TAWON AL HEZAM AL THAHABY AL JAMEAH KFUPM AL SAWARI SENAYAT AL THOQBAH AL MAHA SENAYAT AL FOUZYAH AL YARMOUK AL DOOHAH AL JNUBYAH AL MARJAN AL SHERAA AL DAWASER AL BADEEA AL SOOQ ALAMAMMRAH AL RABEEA AL JALAWYAH AL AMWAJ ALDANAH ALSHMALYAH AL TAHLYAH AL DOOHAH AL SHAMALYAH AL LO'A LO'A AL BANDRYAH AL HEZAM AL AKHDAR AL ESKAN AL RAWAB AL AQIQ AL GASHLAH AL AL SENAYAH AL FAYHAA AL DABAB UHOD AL KHODARYAH AL ADAMAH AL NAKHEEL AL RYAN IBN KHULDOON MADYNAT AL UMAL AL MADYNAH AL RYADYAH AL SHERAA AL KHETHAQ AL BAHR A UNNAMED ZONE1 UNNAMED ZONE 2 UNNAMED ZONE 3 UNNAMED ZONE 4 UNNAMED ZONE 5 UNNAMED ZONE 6 L AMANAH AL HADABA AL MOHAMMADYAH AL SHATEEA AL SHARKY AL GHARBY MYNAA AL MALEK ABDUAL AZIZ AL SHOOALAH KING FAHAD DIST BADR AL NAHDAH AL DANAH AL HAMRAA AL SALAM AL MANAR TEEBH AL NOZHAH AL FYSALYAH AL RAWDAH AL NADA AL JAWHRAH AL ZOHOOR AL KHALEEJ AL JAMAYEEN AL WAHAH AL BUHIRA AL AZIZIAH AL ANOOD MOHAMMED BEN MAS'OOD ALMAZROYAH AL ESKAN MADYNAT AL UMAL AL MURYKEBAT AL ETSALAT AL ATHEER GHURNATAH AL BADYAH AL QAZZAZZ AL ANWAR AL NOOR ABDALLA FOUAD AL FERDAUS AL MATAAR AL FORSAAN AL SHOROOK AL AMAL AL NASER YAH AL TUBESHY HAJER AL BSATEEN AL MANTEQAH AL SENAYAH QASR AL KHALIJ AL NAHDAH AL KHALDYAH AL SHMALYAH AL SAFA AL HUSAM AL RAKAH AL SHAMALYAH AL KHALDYAH AL JNUBYAH AL SADAFAH AL SEEF KFUH AL FANAR AL NASEEM AL NAWRAS AL MUNTAZAH TOHAMAH AL QADESYAH Existing Religious Catchment - 350m Legend Dammam Governorate Boundary 1450 Urban Growth Boundary Dammam Metropolitan Area Boundary Serviced Area Districts Completely Within Catchment Outside Catchment Partially Within Catchment City Boundary Unnamed Zones 173 PLOTS 37 PLOTS 158 PLOTS DAMMAM DHAHRAN KHOBAR Existing Religious – 350 m Catchment District No. of Plots Completely Within Partially Within Outside ABDALLA FOUAD 1 AL ATHEER 1 AL DABAB 2 AL FAYHAA 1 2 1 AL FERDAUS 1 2 AL FORSAAN 2 4 6 AL FYSALYAH 6 5 2 AL HADABA 11 AL HUSAM 1 2 2 AL MANAR 6 12 5 AL MUNTAZAH 2 10

RAILWAY

ORG ANIZATION

Riyadh, Dammam, Jeddah, Kingdom of Saudi Arabia

The project examines the nationwide assets of the Saudi Railway Organization, through a spatial and economic study to find the sites and assets of greatest optimization potential. These sites are further designed to develop concept master plans for each of the assets that aligns with the spatial and economic opportunities for each asset.

+70

SAUDI

0 As se t s Analysi s X 33 Priority Site s X 7 Oppor tunity Site s X 3 Concept Ma st er Network Scale National Scale Site Scale MAKKAH RIYADH DAMMAM 07

Page_Layout

TIER 1 SITES

Site ID Right of Way Locality Line Name

47 50-200 Rural Madinah Jeddah Makkah

61 50-200 Rural Madinah Jeddah Makkah

62 50-200 Rural Madinah Jeddah Makkah

63 50-200 Rural Madinah Jeddah Makkah

64 200-300 Urban Madinah Jeddah Makkah

65 50-200 Urban Madinah Jeddah Makkah

66 50-200 Urban Madinah Jeddah Makkah

67 50-200 Urban Madinah Jeddah Makkah

79 50 Rural Madinah Jeddah Makkah

80 50 Rural Madinah Jeddah Makkah

81 50 Rural Madinah Jeddah Makkah

82 50 Urban Madinah Jeddah Makkah

83 50 Urban Madinah Jeddah Makkah

84 50 Urban Madinah Jeddah Makkah

85 50 Urban Madinah Jeddah Makkah

86 50 Urban Madinah Jeddah Makkah

87 50 Urban Madinah Jeddah Makkah

143 50-200 Rural Madinah Jeddah Makkah

144 50-200 Rural Madinah Jeddah Makkah

145 50-200 Rural Madinah Jeddah Makkah

146 50-200 Rural Madinah Jeddah Makkah

147 50-200 Urban Madinah Jeddah Makkah

148 50-200 Urban Madinah Jeddah Makkah

50-200 Urban Madinah Jeddah Makkah

200-300 Rural Madinah Jeddah Makkah

153 200-300 Rural Madinah Jeddah Makkah

200-300 Rural Madinah Jeddah Makkah

400 Rural Madinah Jeddah Makkah

TO 400 Rural Madinah Jeddah Makkah

Rural Madinah Jeddah Makkah

50-200 Rural Madinah Jeddah Makkah

Rural Madinah Jeddah Makkah

400 Rural Madinah Jeddah Makkah

Urban Madinah Jeddah Makkah

A C D B E D

14 149

14 151

14 152

14 154

14 209 UP TO

14 210 UP

14 218 50-200

14 219

14 226 50-200

14 227 300-

14 150 50-200

PAGE 14 OF 14 LOCALITY DEVELOPED/RURAL/ DESERT OWNERSHIP WIDTH LESS THAT 50M LESS THAN 200M GREATER THAN 200M DEVELOPMENT DRIVERS WITHIN 30KM CATCHMENTOF INFRASTRUCTUREOR FUTUREPROJECT

A TECH HUB,

TRANSPORT & CONNECTIVITY

Design Evolution

A transport hub integrating different modes and providing safe and efficient transit

LOCAL CHARACTER & IDENTITY

A vibrant and diverse space for the community, connecting back to the historic core.

Design Evolution

Serves as a tech-hub and gateway to the city for both residents and visitors on their journey.

TECH & GATEWAY DEVELOPMENT FEASIBILITY

A viable and implementable development that capitalises on the assets of the location within Riyadh.

Riyadh

CREATING

REINVIGORATING THE CITY’S CENTRE AND MAJOR TRANSPORTATION HUB ADJACENT TO RIYADH’S HISTORIC CORE Design Evolution 2. Existing Connection Industrial Retail Train Station Figure 5.11 4. Proposed Public Realm Layout and Network 5. TOWARDS OLD HISTORIC SITE MERGE INVITE LINK INTEGRATE CONNECT TOWARDS RAILWAY TOWARDS SPORT STADIUM Figure 5.11 Design Evolution Design Evolution 1. Existing Conditions 3. Proposed Master plan and Landuse 2. Existing Conditions with Required Public Realm Connection & Access 4. Proposed Public Realm Layout and Network 5. Proposed Linear Park Connecting the Various Hubs Industrial OfficeHospitality TOWARDS OLD HISTORIC SITE MERGE INVITE LINK INTEGRATE CONNECT TOWARDS RAILWAY TOWARDS SPORT STADIUM Retail Residential Community Facility Retail Train Station Train Station Train Station Green Transport Green Corridor Flexible & Smart Open Spaces 133 CONCEPT MASTER PLAN Figure 5.11 Design Evolution

3. Proposed Master plan and Landuse 2. Existing Connection 4. ProposedFigure 5.11 Design Evolution

1. Existing Conditions 3. Proposed Master plan and Landuse 2. Existing Conditions with Required Public Realm Connection & Access 4. Proposed Public Realm Layout and Network 5. Proposed Industrial OfficeHospitality TOWARDS OLD HISTORIC SITE MERGE INVITE LINK INTEGRATE CONNECT TOWARDS RAILWAY TOWARDS SPORT STADIUM Retail Residential Community Facility Retail Train Station Train Station Train Station EXISTING CONDITIONS PUBLIC REALM CONNECTION & ACCESS PROPOSED MASTER PLAN AND LANDUSE PROPOSED PUBLIC REALM NETWORK PROPOSED LINEAR PARKS CONNECTING HUBS

OMAR IBN AL KHATTAB RD AL MADINAH AL MUNAWARAH Rd ALKHARJRd ALIIBNABITALIBRd OMAR AL MUKHTARSt PR I NCE FAHAD I BN I BRAH I M AL SAUD Rd D H A Ownership Boundary Site Boundary Residential Mixed Use Office Community Facility Open Space Hospitality Parking Utilities Rail Corridor Dry Port & Operation Area Roads Railway Metro Line Metro Station Train Station Future BRT Bus Line Future Community Bus Line Future BRT Station Future Community Bus Stop Main Pedestrian Link Main Focal Point Anchor Point Activity Level Office Strategy Density Strategy KEY

DIRR IYAH GATE SUPERVISORY AREA

OF KEY FINDINGS

How can natural assets and water systems be considered holistically while developing frameworks for the site?

Riyadh, Kingdom of Saudi Arabia

LANDSCAPE AND NATURAL SYSTEMS

PUBLIC TRANSPORT BOULEVARD

How can the intrinsic

How can the communities be made accessible,SYNTHESIS OF KEY FINDINGS

SYNTHESIS OF KEY FINDINGS

How can natural assets and water systems be considered holistically while developing frameworks for the site?

LANDSCAPE AND NATURAL SYSTEMS

In support of Vision 2030, the Diriyah Gate Development Authority was established by a Royal Decree with the mandate of preserving, celebrating and developing the iconic landmark Diriyah into the regions’ foremost destination for the historical and cultural knowledge sharing activities while creating opportunities to grow its economy and strengthen local communities.

LANDSCAPE AND NATURAL SYSTEMS

How can the communities

made accessible, vibrant and engaging?

How can natural assets and water systems be considered holistically while developing frameworks for the site?

LANDSCAPE AND NATURAL SYSTEMS

How can the communities be made accessible, vibrant and engaging?

HYDROLOGY WATER CATCHMENT AND SUBCATCHMENTS

PUBLIC TRANSPORT & SPORTS BOULEVARD PRODUCTIVE

DISTINCT CHARACTER

How can the intrinsic qualities of the site

HYDROLOGY WATER CATCHMENT AND SUBCATCHMENTS

PUBLIC TRANSPORT & SPORTS BOULEVARD

PRODUCTIVE LANDSCAPES

PUBLIC TRANSPORT & SPORTS BOULEVARD

PRODUCTIVE LANDSCAPES

How can the communities be made accessible,

OPEN SPACE AND COMMUNITY

How can the intrinsic qualities of the site inform the diversity of built form in the future?

URBAN OPEN SPACE AND COMMUNITY

SYNTHESIS OF KEY FINDINGS

HYDROLOGY WATER CATCHMENT AND SUBCATCHMENTS

How can the intrinsic qualities of the site inform the diversity of built form in the future?

DISTINCT CHARACTER AREA ECONOMIC

The framework supports the development of the 190km2 DGDA Supervisory Area located to the north west of Riyadh through the study of existing processes and conditions, assessing their effectiveness and developing a suite of plans that respond to these challenges and opportunities.

How can natural assets and water systems be considered holistically while developing frameworks for the site?

DISTINCT CHARACTER AREA

LANDSCAPE AND NATURAL SYSTEMS

PUBLIC TRANSPORT & SPORTS BOULEVARD PRODUCTIVE

ECONOMIC OPPORTUNITIES AND DRIVERS INTRINSIC SITE QUALITIES

How can the intrinsic qualities of the site

ECONOMIC OPPORTUNITIES AND DRIVERS INTRINSIC SITE QUALITIES

HYDROLOGY WATER CATCHMENT AND SUBCATCHMENTS

DISTINCT CHARACTER AREA ECONOMIC

URBAN

G A O C O A F S E D E O R C Wadi Hanifa Valley

// C-LEVEL PRESENTATION 61

OPPORTUNITIES DRIVERS

// C-LEVEL PRESENTATION

O C O D E S E D E O 0 9 0 D 0 Wadi Hanifa Valley G 0

SYNTHESIS OF KEY FINDINGS

// C-LEVEL PRESENTATION 61

OPPORTUNITIES DRIVERS

// C-LEVEL PRESENTATION

DATA ANALYSIS OPPORTUNITIES Governance and Management Infrastructure Human Use of Land Land Modification habitation urban development, land activities and consequences governance and systems affected the impact development opportunities OPPORTUNITIES & CONSTRAINTS HABITATION 63 19,000 HADGDAPROJECT AREA EXISTING LAND USE 2019 3.4% Residential 0.8% Public Services 0.6% Istraha 0.23 % Governmental 0.2% Utilities/ Transport 0.16% Commercial 0.1% Under Constriction 0.1% Industrial 0.1% Mixed Use 5% Built Land Use 1,900 HA Open space & Agriculture 7,800 HA Within UGB9,900 HA Outside UGB 900 HA Built 900 HA 16,800 HA Unbuilt 44%56% 17,700 HADGDA Supervisory LandArea(exc l u dgni )sWOR Built Unbuilt Built/Unbuilt 85% Vacant 9% Agriculture 0.4% Open Space 95% Unbuilt Land Use 14,900 HA Vacant 16,800 HA OVERVIEW QUESTIONS AND ANSWERS BASELINE FINDINGS VISION DEVELOPMENT

RIY ADH TRANSIT ORIENTED DEVELOPMENT

Riyadh, Kingdom of Saudi Arabia

RTOD project focuses on detailed urban planning, implementation strategies and design proposals for TOD Zones. The project includes comprehending the context of the 84 station sites in order to improve the city through redesigning the 800m radius of selected stations. My scope involved conducting detailed site analysis for the 6km Olaya Strip, covering six equally distributed stations and therefore evolving the context and market study, the vision framework and ultimately the design response.

EFIICIENT PARKING

CLEAR MOVEMENT

DENSE BUILT FORM

INTEGRATED PUBLIC REALM

ENVIOENMENTAL SUSTAINABILITY

OLAYA GATE VILLAGE

EXECUTIVE AVENUE

KINGDOM WALK

Legend

Built Above 1 HA within 400 m

Vacant Above 1 HA within 400 m

Built Above 1 HA within 400 m

Built Above 1 HA within 400 m Vacant Above 1 HA within 400 m

Vacant Above 1 HA within 400 m

KINGDOM

Vacant Below 1 HA

Vacant Below 1 HA Vacant Above 1 HA beyond 400 m 200,400,800m Catchments

Vacant Above 1 HA beyond 400 m 200,400,800m Catchments

Vacant Below 1 HA Vacant Above 1 HA beyond 400 m 200,400,800m Catchments Metro Station and Metro Line

Metro Station and Metro Line

Potential for Amalgamation

400 M Boundary

Tier

BOULEVARD

TAIBAH ARCADES MOMRA GARDENS

GEOSPATIAL ANALYTICS PORTFOLIO LONDON LINKED IN PROFILE