Abstract

In Florida, a state with significant population growth, it is essential to understand how land use change and transportation interact. Understanding these interactions between land use and transport is useful for transportation planners and land use modelers. Hence, in this research, we attempt to quantify the impact of the transportation system on land use and vice-versa. The research, using high-resolution land use data from 2011 to 2019, builds a binary logistic regression model of land use change. The model accounts for various independent variables, including socio-demographic attributes, built environment characteristics, and transportation network variables. The data set covers GIS data for three Central Florida counties: Orange, Osceola, and Seminole. The model building exercise is conducted using a random sample of parcel-level records. The model results indicate that as the distance to the nearest road or central business district (CBD) or shopping centers from the parcel increases, the likelihood of land use change is reduced. Furthermore, increasing the number of cafeterias or supermarkets or restaurants in the area lessens the likelihood of land use change. On the other hand, as the distance to the nearest recreational area or park or hospital from the parcel increases the likelihood of land use change is likely to be higher. The model developed was also validated using a holdout sample analysis.

Notes

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Graduation Date

2023

Semester

Spring

Advisor

Eluru, Naveen

Degree

Master of Science (M.S.)

College

College of Engineering and Computer Science

Department

Civil, Environmental and Construction Engineering

Degree Program

Civil Engineering; Transportation System Engineering Track

Identifier

CFE0009855; DP0028123

URL

https://purls.library.ucf.edu/go/DP0028123

Language

English

Release Date

November 2023

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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