N FWY N. MIDTOW D A O Y R W T H C Chaumiere U O A I E T T N U A O H C PARVIN ROAD 25TH ST 18TH ST Longfellow E Washington D V A A E O V T R Wheatley A C M T E A S P H O S I L O - L O 7 I R 0 R G T P 31ST ST 27TH ST KCMo Neighborhood Housing Survey 70 I-4 D U V L S B 7 Stratford E 1 G H D I W R Estates Y E U L 100% Survey Area B RED BRIDGE R 5% Survey Area D UMKC College of Arts & Sciences Department of Economics Center for Economic Information INTRODUCTION The KCMo Neighborhood Housing Survey is a joint undertaking of UMKC and the Kansas City Neighbor- hood Alliance. There are several people from the city who have been very helpful, starting with John Leo n- ard from Planning and Development, who supplied us with base maps and other data. Steve Lebovsky has been working with us to coordinate our project with other city research. Housing and Community Devel- opment has been the prime mover for the city, and we would particularly like to thank Stuart Bullington, Paul Mohr, and John Tangeman. Norm Bowman, the city’s GIS coordinator, first facilitated our use of the city’s parcel geography for our 49/63 neighborhood pilot project. This booklet will give you an idea of the depth and breadth of this research project. The cover page is a map of KCMO city showing in blue that part of the city in which we conduct a census (100% sample) of the con- ditions of residential structures. In the gray area, we conduct a 5% tract stratified sample. Also highlighted on the cover with a small blow-up are the four neighborhoods that we chose to demonstrate some of the capa- bilities of the project. The GIS project that we provide to the city will be capable of producing all that is in this booklet, plus much more. It is a powerful planning tool and it establishes a baseline that can be used to evaluate the effectiveness of housing policy. The survey instrument that we use is included in the booklet on page 3. The upper part of the survey cat e- gorizes the parcel. Ratings begin with Roof and go through Street Conditions. There is a point scale from 1 (worst) to 5 (best) for each of 16 characteristics. The meaning of each number for each characteristic is summarized in the Code Descriptors document, which is page 4 of your booklet. This is a windshield sur- vey – all ratings are based on what the surveyor could see from the street in front of the parcel. For each of the four chosen neighborhoods, we start with a summary map, then proceed to a map of parcel roof ratings, followed by a map of the public sidewalk ratings. One-dimensional maps like these can be produced for each characteristic and for each neighborhood. Doing so would result in over 2000 pages of maps. For each of the four neighborhoods we then demonstrate a different direction for potential analysis and use of the data. The demonstrations become more complex as we move through the neighborhoods. Following the set of maps for each neighborhood is a set of explanatory notes. In Chaumiere the demonstration is a simple zoom that shows more geographic detail of a sidewalk map. In Longfellow, the first demonstration is a grouping of ratings for roofs, which allows the user to quickly identify serious problems. The second demonstration is a grouping of characteristics into three categories: structure, grounds, and infrastructure, with a mapping of the average score for each parcel in each general category. These maps are one way to look at the overall conditions of the structures, grounds and infra- structure in a neighborhood. In Stratford Estates, the demonstration is a grouping of parcels into facing blocks with maps of the block average for roof and sidewalks. Grouping in this fashion allows us to iden- tify clustering. The method also allows us to examine the conditions in an area without showing the data of an individual parcel. In Washington-Wheatley there are several demonstrations. The first compares two different ways of measuring overall structural conditions. The second shows a simulation of filling in va- cant lots with new housing. The third shows a simulation of a gradual increase in the quality of existing housing. The fourth shows how general categories can be mapped at the facing block level. Following Washington-Wheatley are two ways to expand this analysis. One is to inventory and evaluate the conditions of non-residential structures and/or land uses, and the other is to define custom geographies. __________________________ __________________________ __________________________ Peter Eaton Colleen Hernandez Phillip Olson Director Executive Director Director UMKC Center for Economic Information Kansas City Neighborhood Alliance UMKC Urban Affairs Program Label Inspector1 Inspector2 Program Neighborhood Number & Street Address Inventory Date Unique Identifier / / Use Type Residential Type Structure Type Residential Detached-1 Detached-2 Attached Apartment Nonresidential N/A Residential NonResidential NonResidential Structure Profile Mixed Vacant Lot Single Level 2-Story 3-Story 4-6 Floors 7+Floors N/A U/R N/A 1 2 3 4 5 N/A U/R Roof Rating Foundation, Walls, & Retaining Windows & Doors Porches Exterior Paint Private Sidewalks & Drives Lawns & Shrubs Vehicles Litter Open Storage Accessory Structures Public Sidewalks in front of home Curbs in front of home Street Lights Catch Basins Street Conditions Housing Inventory Sheet produced by Kansas City Neighborhood Alliance copyright 2000. N N PROSPECT AVE Q E NE ANTIOCH RD NE ANTIOCH RD NE ANTIOCH RD U I P N N C A Y R E O V M A 4 I N H 2 A R N K A D D N N S N A S E S E C MONTGALL AVE I T 3 T 4 Y 9 3 R T R R TG H ALL D N T S E T R N E A N N U AVE O N H S N T N C E T E R E 4 T 4 R H T U H M S S N N KANSAS AVE I S D E T T L O L W R N KANSAS AVE N D F R W Y N N E P A R N V E I N 3 9 R T N BELLEFONTAINE AVE D H S T ARBOR RD N N N O E E R 4 R T 3 H U R S N WALROND AVE D M N S E I D E S 3 T L T 8 O L T W H NE R N C D HA S UM IE F T R E RD R W Y C H A U M I E R E E N BAL ES AVE NE CHAUMIERE RD KC CC & ST JOS AVE EPH (AB AND OND ) RR N ASKEW AVE N ASKEW N E 3 8 P T 3 A H 9 R S T V T H N N I N N T O E E E R N R R T 4 R D E N H 1 N U S E 4 E M S T 3 4 I S 4 R D 3 R 2 S E T D R E N T L X N MONROE AVE D E D L L S R R T D T T D E E R R N E C H O U T E A U T N 4 N CLEVELAND AVE F 1 N CLEVELAND AVE W 4 S Y 3 T R S D T T E A R VE C J N M S ERSINGTON u t h r n u a c e u t , R V N N u m r 2 a e o o e i c s 0 n e R WY D a i T - 0 d r r n NE CHOUTEAU TFWY a y e e e 1 N 4 t t p 4 3 E N s n N N WI N RD a 4 N N WINN RD R N E 3 L T e 1 E D i 9 t H 4 3 T d 4 T 2 8 i o S 1 H N E a T S T e H R D t T S l N JACKSON AVE T S n T S E T T R t N JACKSON AVE i N N JACKSON AVE a E R l U S N SPRUCE AVE S E L N Q E N PROSPECT AVE U C D D D I A T O H R O H R O H R NE N I NE ANTI C NE ANTI C N P N C A Y E R O M V A 4 I H N 2 A N K R A D D N N N S A E E S S MONTGALL AVE C 3 I T 4 T 9 Y 3 T N R R TG R H AL D L N MONTGALL AVE T S E T R N N E A N N O N N CHESTNUT AVE E R E 4 T R 4 H T U M H S I S N KANSAS AVE N CHESTNUT AVE D S E T T L O L W R N KANSAS AVE N D F R W Y N N AGNES AVE E P A R N V E I N 3 9 T R N BELLEFONTAINE AVE H D S R T ARBOR RD BELLEFO D N N N O E E R 4 T R 3 H U R S N N WALROND AVE M D S E I D E S 3 WALRON T L T 8 O L T W H N E C R H N D AU S M I E T R E R F D R W C H A U Y M I E R AVE E N N INDIA BAL ES AVE NE CHAUMIERE RD K CCC & S T JO SEP ES AVE H (A BAN DON D) RR N A N N ASKEW AVE SKEW E 3 8 P T 3 A H 9 D R T N S V H T N O N I N T E R E E N T R R 4 R N E H N 1 D U E S E M 4 S T 3 4 I 4 S D R 3 R 2 E T S E R D N X O L T N MONR E V D E O A E D L W L R S N R T T D T E D E F R R N R E W C H Y O U T E A U N 4 T F 1 N CLEVELAND AVE N CLEVELAND AVE 4 W S 3 Y T R S D T T A E VE R NM ERSINGTON C J P u a h n r a c e u e N CLEVE , E G S S l S m V U N N T RWY 2 R x u e e a o n o NE CHOUTEAU TFWY o i c 0 N 4 b r v o c e o r n 4 3 E N N i 4 R D e N N WINN R D a RD E INN N N W e - 0 a o o 3 T E d D - r E 9 4 S H 3 l t 4 T r 2 r e T 8 n u f a P l 1 1 N S H e T E e e e A S t T D H R t s t R R T S a a s n N C J l K N A SO AVE a V T 2 T S l y S L E T n b y a i T t R N d O AVE N JACKS N N JACKSON AVE o d E l D t e D e i R t a n U e n e S r g N SPRUCE AVE S t t d E t e i L e a L N SPRUCE AVE N SPRUCE AVE r r R l i i o D o r N SPRUCE AVE r a N KENSINGTON A a t t e N KE S e NSINGTON AVE N U d E N d N 4 Y 4 T B H R O N Q E N PROSPECT AVE U C D I NE ANTIO H R A T OCH RD A T OCH RD NE N I NE N I N P C N A Y E R O M V A 4 I H N 2 A N K R A D N D N N S A E E S S MONTGALL AVE C 3 I 4 T T 9 Y 3 T N R R TG R H AL D L N MONTGALL AVE T S E T R N N E A N N O N N CHESTNUT AVE E R E 4 T R 4 H T U M H S I S N KANSAS AVE N CHESTNUT AVE D S E T T L O L W R N KANSAS AVE N D F R W Y N N AGNES AVE E P A R N V E I N 3 9 T R N BELLEFONTAINE AVE H D S R T ARBOR RD BELLEFO D N N N O E E R 4 T R 3 H U R S N N WALROND AVE M D S E I D E S 3 WALRO T L T 8 O L T W H N E C R H N D AU S MI E T R E R F D R W C H A U Y M I E R VE E N N INDIA BAL ES AVE NE CHAUMIERE RD K CCC & S T JO SEP ES AVE H (A BAN DON D) RR N A N N ASKEW AVE SKEW E 3 8 P T 3 A H 9 D R T N S V H T N O N I N T E R E E N T R R 4 R N E H N 1 D U E S E M 4 S T 3 4 I 4 S D R 3 R 2 E T S E R D N X O L T N MONR E V D E O A E D L W L R S N R T T D T E D E F R R N R E W C H Y O U T E A U N 4 T F 1 N CLEVELAND AVE N CLEVELAND AVE 4 W S 3 Y T R S D T T A E VE R NM ERSINGTON C J S u i h d n a e e w Nu CLEVE , E G S S S N N m N w TR WY 2 x u e e o o o o a i c NE CHOUTEAU TFWY 0 b r v o e N n l 4 i k S D 4 3 e N E e - N o 0 4 d N R N WINN RD D - E N WINN R r 3 T E S s D l r 9 i 4 r H 3 a u e l 1 4 T 2 d 8 T e e e 1 N S H t T E t s S T D H