NEI GHBORHOOD ECONOMI C RESOURCE SURVEY SUMMARY August 2012 Bronx - PowerPoint PPT Presentation

NEI GHBORHOOD ECONOMI C RESOURCE SURVEY SUMMARY August 2012 Bronx Community District 7

 Purpose  Introduction  Survey Overview  Data Processing and Analysis  Obstacles  Database Development  Survey Results  Food Service Establishments  Trends  Recommendations Table of Contents NERS Presentation - August 2012 2

 The purpose of the Neighborhood Economic Resources Survey (NERS) was to provide Community Board 7 (CB7) with a better understanding of the businesses, trends, properties, and institutions within the district. Bronx Community Board 7 229-A East 204th Street Purpose NERS Presentation - August 2012 3

 The Neighborhood Economic Resources Survey (NERS) was conducted in spring 2010 and autumn 2011.  Data review, entry, and analysis was conducted in spring 2012.  This presentation provides an overview of the survey and an analysis of the trends and statistics observed in reviewing the NERS data. I ntroduction NERS Presentation - August 2012 4

 In spring 2010 and autumn 2011, local students from Lehman College’s Political Science, Economics, and Public Health departments were commissioned to capture business and land use data from over 5,000 addresses in CD7.  Photographs were taken of non-residential and distressed residential uses.  A NERS form was prepared in-house and used to capture general business, use, and address data. Survey Overview NERS Presentation - August 2012 5

 Building addresses were recorded.  Classification codes were assigned to non- residential uses and distressed or vacant residential properties.  When a non-residential use was observed less than three times within it was recorded with an “other” designation. High Class Bronx Limo & Car Service Survey Overview 268 West Fordham Road NERS Presentation - August 2012 6

 Addresses were assessed for: Vacancy, Building Use, Type of Structure, Structural Conditions, Sectors, Change of Business / Use, Type of Restaurant / Food Service.  Additional address and use related data was tracked by surveyors.  Totals and statistics were compiled for each classification, as presented below in the presentation and in the NERS project report. Survey Overview NERS Presentation - August 2012 7

 Information captured on the survey forms was entered into the NERS database.  After entering data in the database, totals of the data classifications were taken.  The NERS database was developed in order to analyze business trends, building characteristic data, economic development, and land use.  The database included information from surveys conducted in 2010 and 2011. Survey Overview NERS Presentation - August 2012 8

 Upon review of the data in 2012, it was determined that new codes and classification systems were required to clearly and accurately capture building and address information.  Many uses hadn’t been identified on the survey form. (For example, limousine and car services, fitness centers, pawn shops, and insurance companies were not specifically identified on the survey form.)  New classification codes were required to identify non-residential uses that occurred more than three times. Planet Fitness 82 West 225th Street Data Processing and Analysis NERS Presentation - August 2012 9

 A new, more comprehensive database was developed.  It allowed for the identification, classification, and cross-referencing of more specific building, address, vending cart, and business data.  The data entry for each address was reviewed, assessed and compared to the photographs and information available on Google Maps. Vending Cart West 225th Street Data Processing and Analysis NERS Presentation - August 2012 10

 Comparisons between 2010 and 2011 data allowed for changes in land use, businesses and activity to be identified in the updated NERS database.  Using Excel formulas, the updated NERS database identified use, vacancy, building characteristic and neighborhood statistics.  Discrepancies and inconsistencies were addressed. Data Processing and Analysis NERS Presentation - August 2012 11

Certain obstacles existed in capturing accurate data and reviewing it in a comprehensive manner. They are presented on the next two slides. Some of these obstacles include the following:  Multiple occurrences of business or institution names being misspelled.  Incorrect addresses being written down by the surveyor.  Hidden or no signage on business frontages. (e.g., Income Tax, Prepaid Phone Cards, etc.) Income Tax 241 East Bedford Park Blvd. Data Processing Obstacles NERS Presentation - August 2012 12

 Incorrect addresses posted on awnings and doors. (e.g. The Food Express awning indicated 109 West Kingsbridge Road. It’s neighbors are 149 and 155 West Kingsbridge Road).  Surveyors classified mixed-use buildings with ground floor retail and a second-story residence differently.  The 2010 survey form does not have a check box for occupied single-story commercial building. Food Express 109 / 149 West Kingsbridge Road Data Processing Obstacles NERS Presentation - August 2012 13

 Different surveyors identified parking lots as undeveloped, as developed properties, or as accessory uses.  Some classification codes proved to be unnecessary if there were less than three occurrences of a building use within CD7.  Incorrect cross-listing of photographs Data Processing Obstacles NERS Presentation - August 2012 14

 Businesses may have multiple activities or vend more than one type of products, although each business is only classified once in the database. For example, Electronic Inc. Beauty Supplies. This establishment sells beauty supplies, transfers money, and sells electronics.  Inconsistent data collection.  Certain addresses were surveyed more than once. Electronic Inc. Beauty Supplies 56-A West 183rd Street Data Processing Obstacles NERS Presentation - August 2012 15

 To develop a comprehensive database, it became evident that more specific building, address, and use information had to be identified.  New classification categories and codes were initiated.  Summary tables were created to compile general data and to extrapolate changes in building status, expanded varieties of food sales, and trends in non-residential activities, as presented below. COLUMN L Change of Business / Use Occurences Percentage 1- Same Business / Use 5038 96.33% 2- Same Type of Business or Use 24 0.46% 3- Different Business or Use 34 0.65% 4- New Business 7 0.13% 5- No Business or active use 127 2.43% TOTAL 5230 100.00% Change of Business Summary Table Database Developm ent NERS Presentation - August 2012 16

 Incorrect sector assignments were addressed.  Summary tables were created to compile general data and to extrapolate information on changes in building status, food sales and other trends.  Changes in use between the 2010 and 2011 surveys were identified in the database. (i.e., 3052 Valentine Avenue) . Werin Grocery Valentine Grocery 3052 Valentine Avenue 3052 Valentine Avenue May 2010 October 2011 Database Developm ent NERS Presentation - August 2012 17

 Changes in businesses and ownership were identified and addressed.  Photographs of buildings taken in 2010 were compared to those taken in 2011 and those available on Google Maps.  Addresses and building characteristics were double- checked to confirm the location of businesses, government facilities, and non-profits. Database Developm ent NERS Presentation - August 2012 18

 The survey compiled data about vacancies.  There were 10 parcels without any type of structure or construction taking place upon them. (Approximately 0.20 percent)  Many buildings were unused, vacant, or abandoned, but the address is not considered vacant. Survey Results – Property Vacancy NERS Presentation - August 2012 19

 Such vacant addresses may include community gardens, surface parking lots, or undeveloped parcels.  Properties on which construction was taking place at the time of the survey were not considered vacant.  Four active surface parking lots were in use but did not have a completed structure upon them. Survey Results - Property Vacancy NERS Presentation - August 2012 20

 Table D, on the following slide, and the corresponding bar chart, present information about the how structures are being used in CD7.  Structures were classified as:  Only residential use  Only non-residential use  Mixed-Use  Not in use Survey Results – Structural Use NERS Presentation - August 2012 21

TABLE D – Structural Use Use Occurrences Percentage 1 - Residential 2712 51.85% 2 - Non-Residential 1133 21.66% 3 - Mixed-Use 1261 24.11% 4 - Not in Use 124 2.37% Total 5230 100.00% Survey Results – Structural Use NERS Presentation - August 2012 22

3000 2500 2000 1500 1000 500 0 1- Residential 2- Non- 3- Mixed-Use 4- Not in Use Residential  The bar chart above compares the number of different types of structural uses occurring in CD7. Survey Results – Structural Use NERS Presentation - August 2012 23