Honours Theses, Academic Year of 2020-21

 

 

Year:                   

2020-21

Student Name:

Siew Ten Ong

Title:

Understanding Cost Differences of Transit Services Between Urban and Rural Canada

Supervisor:

Dr. Justin Beaudoin

Abstract: 

In 2021, the Canadian government announced a new policy regarding public transit funding that has put rural transit projects in a disadvantageous position as the funding guidelines ignore the differences of transit demand and supply between urban and rural Canada. In other words, urban areas that have higher population density and more job opportunities, will also have more complete and accessible public transit service that would attract more transit users, in contrast to rural areas. Hence, this thesis focuses on identifying the potential differences of ridership demand and supply, and the required subsidy, between urban and rural Canadian transit operations by examining the empirical relationship on: (1) the factors affecting transit demand, (2) the factors affecting transit supply costs, and (3) the factors affecting the required subsidy per trip from the public transit users’ approach. A pooled cross-sectional dataset comprised exclusively of transit demand factors from 1996 to 2016 was used for the one-stage OLS regression for all three models. It should be noted that none of the existing literature has involved a cross-sectional comparison of public transit across Canadian cities, and none of these studies have focused on the rural context.


The results show that there are differences in ridership demand and supply, and the required subsidy, between urban and rural transit operations in Canada. Accounting for their respective difference in socioeconomic, built environment, and ridership levels this thesis provides evidence for policymakers that rural and urban areas may need different transit funding policies.

 

 

 

 

Year:                   

2020-21

Student Name:

Ayomide Tanimowo

Title:

Determinants of House Pricing in NS during 2010-2020

Supervisor:

Dr. Justin Beaudoin

Abstract: 

This study seeks to examine the factors that affected real house prices in Nova Scotia in the last decade (2010 to 2020) using Nova Scotia census data from Statistics Canada along with parcel sales history and residential dwelling characteristics data from Datazone’s Nova Scotia property and municipal datasets. Hedonic price model theory is applied to house sale prices for Census Divisions in Nova Scotia over the decade 2010 to 2020 and the datasets were analyzed using Ordinary Least Square regression technique to estimate the factors that influenced house prices in the province during the time period under consideration. The results of the study showed that the main factors that affected the real price of houses in Nova Scotia
during 2010 to 2020 were: location; sale date; building size; the number of bathrooms in a house; availability of a garage; availability of a finished basement; the construction quality of a house; if a house was detached, multi-unit, or multi-parcel; population; unemployment rate; housing supply; the percentage of the housing supply that is occupied; and the percentage of tenants living in subsidized housing. The number of bedrooms in a house and the percentage of the province’s population that is Aboriginal were other factors that were revealed to have affected the real price of houses in Nova Scotia. This study is valuable as the understanding of the factors that affect house prices is essential to policy makers in their devising of policies relating to the housing market, especially given the overall rise in house prices and the well publicized issue of housing affordability in the province.