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

Table of Contents

Purpose Introduction Survey Overview Data Processing and Analysis Obstacles Database Development Survey Results Food Service Establishments Trends Recommendations

2 NERS Presentation - August 2012

Purpose

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.

NERS Presentation - August 2012 3

Bronx Community Board 7 229-A East 204th Street

I ntroduction

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.

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Survey Overview

 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.

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Survey Overview

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High Class Bronx Limo & Car Service 268 West Fordham Road

 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.

Survey Overview

 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.

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Survey Overview

 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.

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Data Processing and Analysis

 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

• n the survey form.)

 New classification codes were required to identify non-residential

uses that occurred more than three times.

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Planet Fitness 82 West 225th Street

Data Processing and Analysis

 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.

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Vending Cart West 225th Street

Data Processing and Analysis

 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.

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Data Processing Obstacles

Certain obstacles existed in capturing accurate data and reviewing it in a comprehensive manner. They are presented

• n 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.)

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Income Tax 241 East Bedford Park Blvd.

Data Processing Obstacles

 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

• ccupied single-story commercial building.

NERS Presentation - August 2012 13

Food Express 109 / 149 West Kingsbridge Road

Data Processing Obstacles

 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

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Data Processing Obstacles

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 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

Database Developm ent

 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.

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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

 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).

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Database Developm ent

Valentine Grocery 3052 Valentine Avenue October 2011 Werin Grocery 3052 Valentine Avenue May 2010

Database Developm ent

 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

• n Google Maps.

 Addresses and building characteristics were double-

checked to confirm the location of businesses, government facilities, and non-profits.

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Survey Results – Property Vacancy

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.

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Survey Results - Property Vacancy

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 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 – Structural Use

 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

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Survey Results – Structural Use

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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 23 500 1000 1500 2000 2500 3000

1- Residential 2- Non- Residential 3- Mixed-Use 4- Not in Use

 The bar chart above compares the number of different types of structural uses occurring in CD7.

Survey Results – Structural Use

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 Within CD7, 2,712 addresses have only residential

• structures. (Approximately 51.9% ) They are either single-

family residential, two-family or multi-family buildings.

 Mixed use structures are found on 1,261 addresses.

(Approximately 24.1% ) These structures have both a residential and non-residential use.

 Approximately 2.4 percent of all structures are not in use.

Survey Results – Structural Use

There were 1,133 non-residential structures

in CD7. (Approximately 21.7 % )

Addresses identified as not in use were

abandoned due to a physical constraint, vacant due to financial distress, unimproved, undeveloped or not occupied.

NERS Presentation - August 2012 25

Survey Results – Structural Use

 The pie chart below presents a visual of the structural use data

presented in Table D.

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1- Residential 2- Non-Residential 3- Mixed-Use 4- Not in Use

Exclusively Residential Uses 51.85% Mixed Uses 24.11% Non-Residential Uses 21.66% Not In Use 2.37%

Survey Results – Building Height

 Table E presents information about the height of each

building.

 Addresses were classified as having either a single-story or

two-story building, having a multi-story structure, or having no building.

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TABLE E Building Stories Occurrences Percentage 1 - One- or Tw o-Story 2815 53.82% 2 - Multi-Story 2407 46.02% 3 - No Structure 8 0.15% Total 5230 100.00%

Survey Results – Building Height

 The majority of 2,815 buildings are either single-

• r two-story structures. (Approximately 53.8% )

 Another 2,407 structures have more than two

• stories. (Approximately 46% )

 There are 8 addresses did not have a structure.

(Less than 0.2 percent)

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Survey Results - Structural Conditions

Table F , on the following slide, presents data about the four structural conditions that were observed the most. Structural conditions were classified in one of four ways:

• Under Construction
• Unoccupied
• Abandoned / Disrepair
• Occupied
• Closed for Renovation
• No Structure

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Survey Results - Structural Conditions

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TABLE F Structural Conditions Observed the Most Occurrences Percentage 1 - Actively Occupied 5078 97.09% 2 - Unoccupied 99 1.89% 3 - Abandoned / Disrepair 20 0.38% 4 - Under Construction 20 0.38%

Survey Results – Structural Conditions

 A majority of 5,078 structures of 5,230 are currently and

actively occupied. (Approximately 97.1% )

 Another 99 addresses were not occupied. (Approximately

1.9% ) These include addresses where there is an existing and inhabitable building on a site, but there appears to be no occupants.

 There were 20 addresses surveyed that were either

abandoned or in disrepair. (Approximately 0.4) These include parcels where there is an existing uninhabitable

• building. The building is uninhabitable due to structural or

safety issues (i.e., fire, flooding, roof problems, structural damage)

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Survey Results - Sectors

 Sectors are the neighborhood sub-areas within

CD7 and are based on NYPD Precinct Sectors.

 The sector with the greatest number of

addresses was Sector M with 803 properties. (Approximately 15.4 percent of all properties surveyed). Sector M is located is part of the Norwood neighborhood and is bounded on the east by Webster Avenue and on the south by East 204th Street.

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Survey Results - Sectors

 Sector J had the second greatest number of

addresses surveyed with 602 properties. (Approximately 11.5 percent of all addresses) Sector J is part of the Bedford Park neighborhood and is generally bounded by Mosholu Parkway on the north and Bedford Park Boulevard on the south.

 Sector G had 564 addresses in the survey.

(Approximately 10.8 percent of all properties surveyed)

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Survey Results - Sectors

 The 2011 survey conducted of Sector A (A1) included the

fewest properties with 27 properties. (Approximately 0.52 percent)

 Sector A1 is located in the Kingsbridge Heights

neighborhood, generally bounded by Sedgwick Avenue on the east and West Kingsbridge Road on the north.

 The 2010 survey area with the least number of properties

captured was Sector E with 56 properties (Approximately 1.07 percent).

 Sector E is part of the Jerome Park neighborhood and is

generally located north of West Kingsbridge Road and south of East 204th Street. This area includes the Kingsbridge Armory, Lehman College and Walton High School.

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Survey Results - Sectors

TABLE I Sectors w ith the Most Addresses Occurrences Percentages Sector B 508 9.71% Sector G 564 10.78% Sector J 602 11.51% Sector M 803 15.35%

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The sectors with the greatest number of addresses surveyed are presented on the following table.

Survey Results - Sectors

NERS Presentation - August 2012 36 100 200 300 400 500 600 700 800 900

Survey Results - Change of Business / Use

 Table I on the next page presents survey

information regarding changes in businesses or uses.

 There were five categories identified:

• Same business or use
• Same type of business of us (Different management or
• wnership)
• Different business or use
• New business
• No business or use

NERS Presentation - August 2012 37

Survey Results - Change of Business / Use

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COLUMN L Change of Business / Use Occurrences Percentage 1 - Sam e Business / Use 5039 96.35% 2 - Sam e Type of Business or Use 25 0.48% 3 - Different Business or Use 34 0.65% 4 - New Business 7 0.13% 5 - No Business or active use 125 2.39% TOTAL 5230 100.00%

Survey Results – Changes in Business / Use

Between 2010 and 2011 there were 34

changes of business or use. This includes

• nly establishments where a use changed

completely from the previous activity.

Another 25 businesses or uses changed

management but retained a similar type of establishment.

The majority of businesses and uses didn’t

not change between the two surveys. Over 5,000 businesses and uses in CD7 remained the same. (Approximately 96.3 percent).

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Food Service Establishm ents

 The following 12 slides focus on Food Service

Establishments.

 Food classification code numbers were assigned to

sit-down restaurants, fast food establishments, and food vending carts.

 The 2010 survey form identified 17 different types

• f food classifications.

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Food Service Establishm ents

 Although the survey form allowed for the classification of

17 different types of cuisines, multiple occurrences of additional types of food were observed three or more

• times. (e.g., Halal, Asian, Mexican etc.)

 Surveyors identified 241 food service establishments within

CD7, out of a total 5,230 properties surveyed. (Approximately 4.5 percent of addresses are involved with prepared food sales.)

 Eleven carts serving prepared foods were observed.

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Ebe Ye Yie Restaurant 2364 Jerome Avenue

Food Service Establishm ents

The following table highlights the most

numerous types of food services available in CD7.

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TABLE N Type of Restaurant / Food Service Occurrences Percentage of all Non-Residential Uses Percentage of all Food Service Establishments Am erican 18 0.34% 7.47% Chinese 49 0.94% 20.33% Fried Chicken & Fish 19 0.36% 7.88% Latin Am erican* 43 0.82% 17.84% Pizza 39 0.75% 16.18%

* Mexican food was counted as a separate cuisine. There were 16 Mexican restaurants, fast food

• establishments. If combined with Latin American cuisine, there would be 49 Latin American food sales

locations.

Food Service Establishm ents

 The food establishments that were most numerous in

CD7 were American, Chinese Take-Out, Latin American, Fried Chicken and Fish, and Pizza.

 Venues classified as American cuisine included

barbecue, juice bars, regional cuisines, and other types of non-fast food American fare.

 Chinese Take-Out occupies almost one percent of all

structures in CD 7.

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Food Service Establishm ents

There are 98 sit down restaurants in CD7. There are 132 fast food establishments in

CD7.

An additional 22 venues served food, but

were classified as bars and grills. They include sports bars, lounges, social clubs and pubs.

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Maribella Café Sport Bar 2362 Jerome Avenue

Food Service Establishm ents

 Fast food establishments include such diverse

venues as donut shops, burger chains, fried chicken and fish, Mexican tortilla, Chinese take-

• ut and pizzerias.

 Sit down restaurants in CD7 offered such diverse

dining options as Greek diners, Jamaican cuisine, Halal carts, West Indian restaurants, Latin American cuisine, and seafood houses.

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Food Service Establishm ents

 Fast food appeared to be concentrated along main

thoroughfares, including East Gun Hill Road, Jerome Avenue, Bedford Park Boulevard, West Kingsbridge Road, East 204th Street, Webster Avenue.

 Jerome Avenue had 17 fast food restaurants. West

Kingsbridge Avenue had 11. East 204th Street had 8.

 Although listed on the survey form, only two places

specialized in Fried Fish. It was later combined in the subtotal for Fried Chicken.

NERS Presentation - August 2012 46

Subway 311 East 204th Street

Food Service Establishm ents

 Thirteen fast-food and take-out restaurants

were observed along Fordham Road, but only seven sit-down restaurants.

 Ten fast-food establishments were surveyed

along East Gun Hill Road. Six restaurants were counted along the same Road.

NERS Presentation - August 2012 47

VIP Café 131 East Gun Hill Road

Food Service Establishm ents

 Diners were not on the survey form, but there are 4 located

within CD7. Typically diners offered counter and sit-down service,

• ffer an extended menu and served meals around the clock.

 There were 6 coffee shops. Coffee shops were classified as such if

they offered breakfast and light meals, provided counter service and focused primarily on the sale of coffee beverages.

 The 2010 survey identified only one restaurant with a focus on

fried fish. That establishment was subsequently categorized with fried chicken.

NERS Presentation - August 2012 48

New Capitol Restaurant 2 West Kingsbridge Road

Food Service Establishm ents

Seven fast food establishments were located

along East 204th Street, including four Chinese take-out.

West Kingsbridge Road had 10 fast foods. Webster Avenue had 8 fast food places.

NERS Presentation - August 2012 49

Food Service Establishm ents

 More than 20 percent of restaurants, fast food establishments,

and food carts in CD7 serve Chinese food.

 Latin American restaurants comprised 43 businesses

(Approximately 17.8 percent of all food service). Pizza is the third most popular food service, with 39 establishments serving pizza.

 The 2010 survey anticipated Italian and Southern restaurants.

Only one sit-down Italian restaurant was identified in the survey, it was subsequently classified with pizzerias.

NERS Presentation - August 2012 50

House Pizza 246 East 204th Street

Food Service Establishm ents

 Table N presents the survey information

compiled on food service establishments.

 Table N counts sit-down restaurants, fast-

food places, and food carts.

 The total number of food service

establishments is 241. Approximately 4.6 percent of all businesses and uses within CD7 are related to the food service industry.

NERS Presentation - August 2012 51

Food Service Establishm ents

 Chinese food take-out was the most numerous food

establishment in CD7. There were 49 Chinese restaurants and take-out places.

 Latin American cuisine was on the menu at 43 restaurants.

(Approximately 17.8% ) This does not include Mexican cuisine, of which there were 16 such establishments.

 The third most popular food service establishment in CD7 is

• pizza. This includes pizza, pasta, and Italian heroes. There were

39 such establishments. (Approximately 16.2 % )

 The survey form was prepared to capture Southern, Fried Fish,

and African restaurants, however, none or only one of such types

• f restaurants were observed.

NERS Presentation - August 2012 52

Golden House 2 West 199th Street

Trends

East Fordham Road - Between the 2010

survey and the 2011 survey, ten businesses changed ownerships.

Asian, Mexican, and Halal Cuisines – Were

not assigned classification codes on the survey form, but were served at more venues in CD7 than previously anticipated.

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Recom m endations

 Conduct future surveys to track ongoing changes

and trends.

 Update NERS Survey Form to capture mixed-use

structures and single-story non-residential use.

 Develop a consistent tracking system.  Use Meta-tags when tracking data in order to

provide more information about the services

• ffered and to provide a better search

methodology.

NERS Presentation - August 2012 54

Recom m endations

 Establish more specific guidelines for identifying

building types, business names, and address identification to ensure consistency of data.

 Capture photographs of properties from the street

and of their address.

 Consider a different type of network system. There

were often difficulties in saving files and changes.

 Update the computer system as there are many

connection difficulties and delays with the current system, especially when connecting to the internet.

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