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Home My WebLink About2017-06-27.Kau.GP.PresentationCounty of Hawaii COMMUNITY DEVELOPMENT PLAN ACTION COMMITTEE General Plan Comprehensive Review 1 PLANNER'S CHALLENGE Trends and Data How Things Work Trade -Offs Kilo Analyze Provide good information Support group decision-making Public Stakeholders Policy -Makers THE GENERAL LAN IS A KEY PLANNER'S TOOL Sets forth the Council's Qolicy for lone -ranee, comprehensive c Mandated by HRS & Charter Meant to guide all development patterns Establishes priorities for public investments 1 COUNTY OF HAWAII GENERAL PLAN FEBRUARY 2005 (AS Aax*ded) Kilo evelopment of the County co t4f Public Stakeholders Policy -Makers Overview Scenario Planning Track: • Output = Land Use and Capital Improvement Maps Strategies & Policies Track: • Output = General Plan Elements Community Planning Track: • Output = Relationship of Different Plans and their Implementation r 1 1 1 1 1 1 1 Scenario Planning 11111111111111111111111111 11111111111111111111111111 CDP Land Use & Infrastructure Maps ■ 1 1 1 1 1 1 Strategies & Policies Goals Objectives Policies Actions 1 COUNTY OF HAWAII GENERAL PLAN Base Scenario Forces Phase II Trend External >0!Capacity Agriculture Preferred Scenario Choices, Strategies TODAY FUTURE DEVELOPMENT Two primary urban centers Visitor industry centers Underserved crowth areas Otherwise rural These patterns were established in the 1960s PATTERNS TODAY ■ Residential ■ Nonresidential Only 60% of population in Census uraan areas Low 3opulation density Ring of small historic towns and villages, often with rural residential and small farms nearay Community Development Plans & Scenario r''lanning TWO TYPES OF SCENARIO PLANNING usinc iz® Model Driven • Relies on rules • Helps understand external forces • Helps test choices and strategies Planner Driven • Informed by model information • Provides sketching and modeling methods • Helps refine choices and strategies O 41114, MODEL DRIVEN SCENARIOS External Forces COMPUTER MODELING Using c o m m u n i t • Demographic forecasts from SMS Hawai'i • Zoning and policies • Geographic maps and data • Historic patterns • Statistical regression analysis • Growth allocation • Usage rates, like water Agriculture use per household • Distances, overlaps • More complex models Measures 11 Base Scenario External Forces 1 1 1 1 Trend Phase I Capacity Agriculture IPA ie Choices, Strategies TODAY CDP FUTURE 1L CAPACITY MODEL 852,000 Zoned capacity Growth by 2040 Today's population Existing zoning rights already allow for enough homes for 852,000 people — over 4 times our population and housing count today That's enouch to last until the year 2107 at current rates of crowth And the current General Plan allows even more CAPACITY MODEL Zonec Resic ential Ca Qacity Toc Excludes existing development Kilo ay Rural growth areas "Low pressure system" in housinc market New development is most likely in the ALREADY zoned AND SUBDIVIDED areas — it's cheaper and easier Most available zoned capacity is in underserved growth areas ,101 `\P 9 �yG- n1 11$ VJQST CAPACITY IS . INUNDERSERVED rnl.l9..I 19 U,ROWTH AREAS M A Il N A 1 O .i 14 TREND MODEL 52% growth by 2040 2015: 195,000 2040: 296,000 Rate of Growth Slowest growth Fastest rowth X TREND MODEL North Kohala, 6,054 North Kohala, 7,973 16 Base Scenario External Forces TODAY Phase I Capacity Agriculture -1111 IPA Choices, Strategies uvuvuvuvuvuvuvuvuvuvuvuvuvuvuvuv FUTURE 17 AGRICULTURE MODEL • Defined "productive agricultural land" • Tested choices and strategies that could be used to protect productive agricultural land 28% of total land area Sauces: Esri. HERE. ❑eLarme, Intermep, increment P Cap.. GEBC01.S IGN. Kadas ter N L, Ordnance S uvey, Esri Japan. MET!. Esri China [H Kan OpenStreetMap mntrihutas, and the GIS User Caaneupity AGRICULTURE MODEL Productive Ag Land Trend Scenario 0 Existing home • New home 0 000D00� •• o • 0 • 0 0 • • 0- ,0 •0 * b 4 •° � 00 • ., 0,..! o N • ° •d ••• ° .0., a0 0 0 •• 0 83, •.0°0,,• • • 0 • •• • 0 0,00 0 00• O•0 0 ••• • 0 •• 0j0 B 0 • • • • • • •. i0 Y0•°0 0 :•, •• 0• • •• • •0 0 •.••°•••• • • • 00 • • 0 • • 00 0 • ,• • •_•••n•°• • 0 •• 0 O • •• °•••• •0 ° • 0 • 0 0 000 °° •••0••• ••• • •• ••o • • •• •• O 00 00-9•• • •o •0i•O•°•••o"• o•oo ° 0•0••0oo•°p• ••° O • •Oo t 0 • • •• • •9 • ° ,0 ,•• CO o • •o•i• °m �o °0 •. • •• o ° O o •• ••�• ••o e • • O•Oo 0* cc, •• • 0 0 o°0 0 pO •• ••• •o • 00 0 • • i•f ° •° • 0 0 • • 0 o i o ..,.1: d • 0 •• • •• O• o •. o0 • • o • o o • • . • • 0 0 00 c° o • * 0 • • .• ° • • • °• - , 0 0 • °• O 0 0 0 0 °p • 0 •• • • . • • •0O 00 0 0 b • «• 0 0 o°° ° 0o •8•q°•• • t • ® 0 o • •° °0° •• •O 00 • • • • 0 : 0 ° • • • • ♦ • • • • ' 0 0• • • 0 • -• ' •• 0 o 0 . • D y * 0 0 • 0 •00• CO• • • • • • • • • 0 0 • • • • • • •• 0 0 0 0 • 0 • • 0 0 ° • ° • o o • • • • 0 0 • r��'I • • 0 •• • 0 Ag Scenario 0 iH.° 0 •�° °0 0 0 •• • 051 O • ° • 0 • 0 • • • O O •• • 69 • • °, o O ° •• 0,'" 0 0 • •• 0 - 0 • 0 ° • • CO °• ° • ° ° • •• • ° • • 0 • • • • 0 •0 0 0 0 0 0 CO c�0 • ',., • • • • 0 • • ° o 0 • W 0 S •• °• °• •• 0 • 0 0 0 0 00 ° °1d ° N • 0•• o6�i j O CS'° 0a. o° 0 0 0° •00 0 0•°° ° :O �° • o ° • ° • • • • Oo 30 • • • 0 • 0 • 0 00 • S • • 0 0 ° ; • ° 9 0 •:: INFRASTRUCTURE PRIORITY AREAS (IPA) MODEL • Identify priority areas • Focus future growth within IPAs • Identified gaps in capacity and infrastructure • Incentivized infill IPA MODEL Trend Scenario =I IPA Boundary 0 Existing home • New home IPA Scenario •••%'...k••• 'ON Current project moves forward Limited new growth outside IPA 111,11,co Dr 11 COMMUNITY DEVELOPMENT PLAN (CDP) MODEL • Incentivized growth in concentrated areas • Prioritized agriculture, conservation and/or hazard avoidance „ 2.150 POT5 06-5a r Jo. 1 ./ Awmuni r.tr'rk, . , 6a4„ 441,011,5 • PT.! Wal. 16. PPMN) Abbr 1 kr • I 2 A 0 0 A:lek5 AG -5a • *WM zoum -LT Keilue P.M 5 5,049 nad.5 5..1011,1,3k I, '-WILLotna t nnceptila I Plac PT" fig! PLA NNER DRI VEN SCENARIOS Base Scenario External Forces TODAY Phase I Trend Capacity Agriculture �► IPA Choices, Strategies CDP ik 1 1 Phase II I 11 1 1 � Trend Plus 1 1 1 CDP Plusl 1 .1 1 1 1 L__. 4IL FUTURE r"J CDP P[, uS MODEL rte% External Forces • 52% population increase • Community diversity • CDP variations Choices & Strategies • Increase market desirability in established centers • Urban areas and planned centers are incentivized for growth • Urban areas and planned centers have enough zoning capacity TREND PLUS MODEL External Forces • 52% population increase • Rates of rural growth • Infrastructure level of service Choices, Strategies Roads: • Major destinations • Existinc concestion • Connectivity • Multi -modal Water and Wastewater: • Demand • Proximity • Feasibility (Mix of public and private) • Balance MOVE TO COMMUNITY VIZ IN GIS Base Scenario External Forces Phase I Trend Capacity Agriculture IPA ie Choices, Strategies TODAY CDP Phase II Trend Plus CDP Plus FUTURE Scenario Planning 11111111111111111111111111 11111111111111111111111111 CDP Land Use & Infrastructure Maps Strategies & Policies Goals Objectives Policies Actions COUNTY OF HAWAII GENERAL PLAN THE GENERAL LAN IS A KEY PLANNER'S TOOL Sets forth the Council's Qolicy for lone -ranee, comprehensive c Mandated by HRS & Charter Meant to guide all development patterns Establishes priorities for public investments 1 COUNTY OF HAWAII GENERAL PLAN FEBRUARY 2005 (AS Aax*ded) Kilo evelopment of the County co t4f<=• Public Stakeholders Policy -Makers County of Hawaii GENERAL PLAN COMPREHENSIVE REVIEW 0 General Plan Website: cohplanningdept.com/general-plan/ Stay up to date! Email: generalplan@hawaiicounty.gov Facebook: facebook.com/cohgeneral-plan