Browsing by Author "Mulley, Corinne"

Now showing 1 - 4 of 4
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    Exploring changes in public transport use and walking following residential relocation: A British case study
    (Journal of Transport and Land Use, 2016) Aditjandra, Paulus Teguh; Cao, Xinyu (Jason); Mulley, Corinne
    The promotion of local sustainable travel is ever prominent within local transport plans, although it is still not well understood how the change to more sustainable and less carbon-based travel can be achieved. The objective of this study is to gain a better understanding of the travel choice mechanism following residential relocation. This paper uses a structural equations model and an ordered model to explore the drivers of public transport and walking use within an urban environment, using a quasi-longitudinal dataset from 10 communities in the metropolitan area of Tyne and Wear, in northeast England. The results show that changes in public transport use are determined by accessibility features of the built environment, alongside socio-demographic and travel attitude characteristics. Changes in walking, on the other hand, are determined mostly by built-environment characteristics. These findings suggest that a different approach is needed for the promotion of public transport use than for increasing walking trips (aside from walking to access public transport). The provision of public transport services needs to take into account the importance of the value of transport to users, to sufficiently attract and retain them. To promote walking, policy must focus on changes to the built environment (such as safety, travel accessibility, and the sociability of the environment), since it is changes in these characteristics that drive walking in the urban area.
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    Exploring property value effects of ferry terminals: Evidence from Brisbane, Australia
    (Journal of Transport and Land Use, 2017) Tsai, Chi-Hong (Patrick); Mulley, Corinne; Burke, Matthew; Yen, Barbara
    Property value effects of linear river ferries that service multiple stops in cities are under-explored. The Brisbane CityCat, CityHopper, and CityFerries combine to form a ferry system with 24 terminals. A geographically weighted regression (GWR) approach is used to determine property value effects of the system. Cross-sectional property data is used in combination with a set of neighborhood variables derived from 2011 census data, spatial feature location, and transport datasets (roads, busway and train station locations) for the city. The preferred global model had a good fit and showed expected signs for all parameters, showing that property prices tended to decline with distance from ferry terminals, when controlling for other variables. For every kilometer close a location is to a ferry terminal, there is an expected price increase of 4 percent on average, across the study area. The GWR local model also had good fit and suggested property value gains around specific terminals. Visual inspection suggests that locations where more ferry-oriented development opportunities have been taken in recent decades are the sites with the greatest positive property value effects. The implications are that land developers are justified in seeking ferry terminals to service their developments.
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    Transport disadvantage, social exclusion, and subjective well-being: The role of the neighborhood environment—evidence from Sydney, Australia
    (Journal of Transport and Land Use, 2018) Ma, Liang; Kent, Jennifer L.; Mulley, Corinne
    This study explores the effects of the neighborhood environment on transport disadvantage, social exclusion, personal health and subjective wellbeing (SWB) using survey data collected in Sydney, Australia. The data is analyzed using structural equation modelling (SEM). Overall, our model supports the hypothesis that a walkable neighborhood environment helps to reduce transport disadvantage and increase social inclusion. Neighborhood density has negative effects on both physical and mental health, but a positive effect on SWB. Further, a cohesive neighborhood environment is associated with less transport disadvantage, more engagement in political and civic activities, more social help, better mental health and higher SWB. By contrast, perception of crime in a neighborhood is associated with more transport disadvantage and worse physical health. Neighborhood aesthetics and the neighborhood social environment have stronger effects on SWB than other neighborhood environment characteristics.
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    Understanding spatial variations in the impact of accessibility on land value using geographically weighted regression
    (Journal of Transport and Land Use, 2012) Du, Hongbo; Mulley, Corinne
    This paper aims to understand the spatial variability in house prices and accessibility. The motivation for understanding the connection between accessibility and house prices stems from the increasing attention given in recent years to the potential for funding transport infrastructure by land value capture policies. Establishing whether there is identifiable land value uplift, and further quantifying this uplift, is a prerequisite to sensible discussions on the potential for land value capture. Although there has been substantial related research in the United States, not only have there been fewer studies in the United Kingdom, but these have concentrated on London. London, as a capital city, differs in many respects from other cities. Large conurbations such as Manchester, Sheffield, and Tyne and Wear are more typical of British cities. This study focuses on the Tyne and Wear area, which has an extensive public transport system, with a light rail system—the Tyne and Wear Metro—forming the backbone of the public transport system. The investigation reported in this paper is underpinned by the use of Geographically Weighted Regression (GWR) methodology with property prices as the dependent variable, which in turn is explained by independent variables designed to standardize for household features and spatially defined factors including the transport accessibility of the house location. This methodology allows for estimation of the importance of transport accessibility in determining house prices. The empirical results show that, on average, the internal factors of the property and the socioeconomic classification of its location are dominant determinants of property prices, but transport accessibility variables are also significant. However, the local model approach of GWR shows a significant spatially varying relationship between property prices and transport accessibility to be identified. This study contributes to a quantification of the impact of accessibility on house prices. Moreover, the paper demonstrates the application of a relatively new methodology in the transport field that takes account of the spatial nature of the data required in this process.