The Attractive Side of Corpus Christi: A Study of the City s Downtown Economic Growth GISC PROJECT DR. LUCY HUANG SPRING 2012 DIONNE BRYANT
Introduction
Background As a GIS Intern working with the City of Corpus Christi s Development Services department, I began to understand a lot of things about the city I was currently residing in. One of the major goals of the department I work for is economic growth. Economic growth is defined as the increasing capacity of the economy to satisfy the wants of goods and services of the members of the society. Corpus Christi is a growing city and economic growth plays a crucial part in the success of the city. I believe it s important to take note of the economical growth status because it affects the city s sustainability, jobs, opportunities, advancement, and money.
Objective The Question: What is Downtown Corpus Christi s economic growth status? Hypothesis: Downtown Corpus Christi s economic growth is at not improving and major development is needed. The objective of this project is to analyze the downtown area of Corpus Christi to understand its economical growth status and find possible solutions to improve it. Applying this particular study to GIS offers far more data analysis, processed information, and helpful visuals to further understanding and to possibly conduct actions from new knowledge.
Background Research
Downtown Businesses (According to Caller Times) The number of certificates of occupancy, which are required for : new construction, when building owners or business names change, and when commercial renovation occur.
Downtown Vision Plan (According to Gignac & Associates) Looking south down Chaparral St (Before)
Downtown Vision Plan (According to Gignac & Associates) Looking south down Chaparral St (After)
Downtown Vision Plan (According to Gignac & Associates) Looking north down Chaparral St (Before)
Downtown Vision Plan (According to Gignac & Associates) Looking north down Chaparral St (After)
Present vs. Past Land Use Today (Current Land Use 2012) Past (Current Land Use 2007)
Present vs. Future Land Use Today (Current Land Use 2012) The Future (Future Land Use)
Data Collection
Study Area
Attributes Used: Population Population Density Per Capita Income Population Growth Rate Per Capita Growth Rate Average Household Income Census Tract (Demographics)
Attributes Used: Sales Volume Number of Employees Businesses
Attributes Used: Population Households Housing Units Block Points
Attributes Used: Commercial Residential Parks Professional Offices Public/Semi-Public Light Industrial Vacancy Current Land Use
Attributes Used: Commercial Residential Parks Professional Offices Public/Semi-Public Light Industrial Vacancy Tourist Future Land Use
Methodology & Results
Methodology In order to understand this case, particular analyses from ESRI s ArcMap Desktop was applied. The following format will follow: the type of analyses method that was applied to the dataset layers, the purpose of using the particular analyses method and, the input & output attributes used.
Method I Method: Spatial Statistical Analysis is a tool used to extract additional information from the dataset that is being studied. It could highlight trends, patterns, and distribution amongst the dataset. The specific type of spatial statistical analysis that was applied was: Calculated Distance From Neighbor Count Manhattan Distance - Following grid lines (right angles) Purpose: This analysis outputted the minimum, the maximum, and the average distance to the specified nth nearest neighbor for a set of features.
Method I (Cont.) Purpose (Cont.): Max. = the distance traveled away from each feature to ensure every feature has at least n neighbors Min. = the distance traveled away from each feature to ensure that at least one feature has at least n neighbors Avg. = distance traveled away from each feature to find its nth nearest neighbors Apply: Businesses Commercial Properties Public / Semi-Public Properties
Method I (Cont.) Results: Neighbors = 1 Input: Businesses (feet) Min. = 0 Avg. = 29.46 Max. = 1055.05 Input: Commercial (feet) Min. = 6.66 Avg. = 58.96 Max. = 1625.64 Input: Public (feet) Min. = 26.51 Avg. = 139.42 Max. = 1145.07 Neighbors = 3 Input: Businesses (feet) Min. = 0 Avg. = 85.17 Max. = 1717.62 Input: Commercial (feet) Min. = 27.84 Avg. = 140.55 Max. = 2217.53 Input: Public (feet) Min. = 55.86 Avg. = 296.69 Max. = 1350.24 Neighbors = 5 Input: Businesses (feet) Min. = 0 Avg. = 131.43 Max. = 1,830.77 Input: Commercial (feet) Min. = 33.16 Avg. = 195.69 Max. = 2730.26 Input: Public (feet) Min. = 84.12 Avg. = 413.87 Max. = 1674.30
Method I (Cont.) Results: Commercial / Businesses
Results: Public Method I (Cont.)
Method II Method: Location-Allocation Analysis The goal of location-allocation analysis is to locate the facilities in a way that supplies the demand points most efficiently. In this particular case study, land use data along with Business Analyst datasets will be used heavily for this particular analysis. This analysis assists with potential location choice so that high-quality service to the community is given at a low cost due to the location chosen. Purpose: A focal point for this case study was to solve a particular issue by using this particular analysis:
Method II (Cont.) Propose: (Cont.) Minimizing Impedance Concerns all weighted costs for potential services that could be an additional development to the downtown Corpus Christi area Apply: Location Allocation Layers Facilities All vacant properties that have appropriate potential for new development Demand Points Was decided on population in cenesus tracts in the surrounding area
Results: Minimizing Impedance Method II (Cont.)
Results: 1508 Leopard St. Method II (Cont.)
Results: 1401 Leopard St. Method II (Cont.)
Results: 821 Lipan St. Method II (Cont.)
Results: 502 Buford Ave. Method II (Cont.)
Method III Method: Business Analyst Demographic & Income Analysis Market Profiling Analysis These analyses are designed to understand how market and economic growth changes affect existing and potential commercial and service locations. Purpose: B.A. is used to optimize and evaluate sites for businesses, offices, and new services to help identify the most profitable customers. Apply:
Method III (Cont.) Results: Demographic & Income Status
Method III (Cont.) Results: Demographic & Income Status (Cont.)
Results: Market Profile Method III (Cont.)
Results: Market Profile (Cont.) Method III (Cont.)
Conclusion
After all the research and the analyses, I have come to conclude that my hypothesis was incorrect. Development is visible in the area Still opportunities for economic advancement Not as bad as predicted