Abraham Leung

Fuel price changes and their impacts on urban transport – a literature review using bibliometric and content analysis techniques, 1972–2017

ABSTRACT While the period of heightened oil prices in 2005–2014 has attracted considerable academic and policy attention, there is scant cross-disciplinary research considering energy price, transport and land use together. In car dependent societies many socio-economically disadvantaged areas often lack public and active transport accessibility. Emerging research focus has been placed on issues of transport equity including effects of fuel prices. We reviewed 45 years (1972–2017) of publications about fuel price impacts, transport, and urban context, drawn from Web of Science listed publications. Bibliographic citation analysis reveals eight major research clusters with a set of inter-city comparative studies at their centre. The historical evolution, geographical trends, research approaches and the key themes are revealed by context analysis. The paper highlights the need for further studies looking at energy, transport and land use interaction, and suggests a greater focus on transport equity.

Associations between urban road-traffic emissions, health risks, and socioeconomic status in Ho Chi Minh City, Vietnam: a cross-sectional study

Abstract Background Tailpipe emissions from road vehicles are an important cause of mortality in low-income cities. PM2·5 concentrations in Ho Chi Minh City (HCMC), Vietnam, are dangerously high, with mean annual concentrations of 17 230–560·88 μg/m3 (acceptable concentrations are 300 μg/m3 for 1 h a day maximum). Many studies have considered the health effects of air pollution. However, few studies have assessed the socio-spatial equity and health burden of traffic air pollution. Proximity to traffic has been associated with greater mortality. However, populations with lower socioeconomic statuses are more likely to be exposed to high concentrations of air pollution than are populations with higher socioeconomic statuses. We aimed to investigate whether the public health burden is associated with urban road-traffic emission in HCMC, and whether reducing air pollution will decrease hospital admissions, premature deaths, and years of life lost. We also explored the association between air pollution and socioeconomic status in HCMC. Methods In this cross-sectional study, we used the damage function approach in the Benefits Mapping and Analysis Program (BenMAP-Community Edition version 1.3) to estimate mortality risk and economic health burden resulting from PM2·5 emissions in HCMC. 2010–14 data from General Statistics Reports and the Vietnam Household Living Standard Survey, covering 19 districts and five suburban districts in HCMC, were analysed and mapped. A sensitivity analysis was also done to estimate the effects of air pollution reduction under different scenarios. Findings We estimated that emission of PM2·5 from on-road vehicles contributes to 780 (95% CI 340–1180) hospital admissions, 320 (240–570) premature deaths, and 4600 (3600–7600) years of life lost in HCMC each year. Motorcycles, trucks, and buses are the main sources of PM2·5 emission, associated with 210 (160–320) deaths each year. Populations with lower socioeconomic statuses are at higher risk of adverse health outcomes than are populations with higher socioeconomic statuses. Sensitivity analysis showed that reducing PM2·5 exposure by 5%, 10%, or 15% would result in fewer premature deaths and hospital admissions and a gain in life-years. Interpretation We have developed a rapid and efficient method for estimating traffic air pollution risk, which can be applied to cities with similar settings to HCMC. The findings suggest that reducing motor vehicle emissions, particularly from motorcycles, trucks, and buses, could produce substantial health benefits. These findings call for better land-use and transport planning. Shifts in mode of transport from motor vehicles to public or active transport are urgently needed for urban areas in low-income countries. Funding None.

Why passengers’ geo-demographic characteristics matter to airport marketing

ABSTRACT Passengers’ preference and origin location data (home postcodes) can be extremely useful for marketing purposes, with the potential for more effective customer segmentation and targeting, yet traditional airport market research has often neglected these aspects. This paper utilises passenger survey data from the Gold Coast Airport in the state of Queensland, Australia, to perform a geo-demographic classification analysis in conjunction with census data. With geo-coded passenger preference data, the trip characteristics and airport decision preferences were cross-compared with demographic data with socio-economic variables. The results revealed distinctive contrasts in passenger origin location for short-haul domestic trips and long-haul international trips, in which passengers from afar are willing to travel longer distances to reach a second-tier airport to make use of cheaper airfares. One of the implications of this study is that low-cost carriers’ businesses (the airlines or the airports) should better target their customers by offering geographically targeted marketing.