Energy Trade-offs and Market Responses in Transport and Residential Land-use Patterns: Promoting Sustainable Development Policy

Abstract

Sustainable development policy is examined for the Belfast Metropolitan Area using a range of linked aggregate and disaggregate models. Energy trade-offs were modelled for both 'stationary' private dwellings and 'mobile' traffic-related energy sources. The research suggests that land-use policies, and in particular corridor-based densification linked to improved public transport, can achieve very significant reductions in mobile energy consumption and modest reductions in stationary energy use linked to residential lay-out design. This would apply to urban areas such as Belfast which exhibit the classic dispersal of population following deindustrialisation. To realise the potential energy savings, sustainable development policy needs to achieve at least the acquiescence of the consumer. Consumers will only support energy-efficient heating systems, improved public transport, densification policies and road charging, if there is some perceived element of financial compensation or other increase in utility for the individual.

Transport, Housing and Urban Form: The Life Cycle Energy Consumption and Emissions of City Centre Apartments Compared with Suburban Dwellings

“…He concluded that relatively high housing densities can be achieved before any negative impacts due to solar exclusion become significant. Other modelling studies have previously shown a significant influence of built form on the energy used for heating and cooling in houses, with denser dwelling forms requiring less energy (Loder and Bayly et al, 1993;Cooper et al, 2001).…”

Comparing text-only and virtual reality discrete choice experiments of neighbourhood choice

“…The majority of this research focuses on studies of housing and neighborhood choice (e.g. Cooper, Ryley, & Smyth, 2001;Earnhart, 2001;Hunt, McMillan, & Abraham, 1994;Hunt, 2001;Jansen et al, 2009;Kim, Pagliara, & Preston, 2005;Molin, Oppewal, & Timmermans, 1997;Molin, Oppewal, & Timmermans, 2000;Molin, Oppewal, & Timmermans, 2001;Phipps & Carter, 1984, 1985Senior, Webster, & Blank, 2006;Tayyaran et al, 2003;Walker, Marsh, Wardman, & Niner, 2002;van de Vyvere, Oppewal, & Timmermans, 1998). Others have considered just neighborhood choice (e.g.…”

Real Estate Investment Choices and Decision Support Systems

“…Many researchers have developed a different residential location choice model in order to analyze the demand of households for housing, transportation, and the living environment [27]. According to the economic theory, household residential choices are functions of different housing and location attributes that are differentiated by a variety of household characteristic [28].…”