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Spatiotemporal Prediction of Increasing Winter Perceived Temperature across a Sub-Tropical City for Sustainable Planning and Climate Change Mitigation

Climate variability has been documented as being key to influencing human wellbeing across cities as it is linked to mortality and illness due to changes in the perceived weather cycle. Many studies have investigated the impact of summer temperature on human health and have proposed mitigation strategies for summer heat waves. However, sub-tropical cities are still experiencing winter temperature variations. Increasing winter perceived temperature through the decades may soon affect city wellbeing, due to a larger temperature change between normal winter days and extreme cold events, which may cause higher health risk due to lack of adaptation and self-preparedness. Therefore, winter perceived temperature should also be considered and integrated in urban sustainable planning. This study has integrated the increasing winter perceived temperature as a factor for developing spatiotemporal protocols for mitigating the adverse impact of climate change. Land surface temperature (LST) derived from satellite images and building data extracted from aerial photographs were used to simulate the adjusted wind chill equivalent temperature (AWCET) particularly for sub-tropical scenarios between 1990 and 2010 of the Kowloon Peninsula, Hong Kong. Compared with perceived temperature based on the representative station located at the headquarters of the Hong Kong Observatory, the temperature of half the study area in the Kowloon Peninsula has raised by 1.5 °C. The areas with less green space and less public open space in 2010 show higher relative temperatures. Socioeconomically deprived areas (e.g., areas with lower median monthly income) may suffer more from this scenario, but not all types of socioeconomic disparities are associated with poor sustainable planning. Based on our results and the “no-one left behind” guideline from the United Nations, climate change mitigation should be conducted by targeting socioeconomic neighborhoods more than just aging communities.
- Guangzhou University China (People's Republic of)
- University of Hong Kong China (People's Republic of)
- Singapore–MIT alliance
- Massachusetts Institute of Technology United States
- Hong Kong Polytechnic University (香港理工大學) China (People's Republic of)
Hot Temperature, Acclimatization, Climate Change, socioeconomic deprivation, 710, Wind, Article, community design, Sustainable planning, urban morphology, Climate change, Humans, Cities, City Planning, Weather, Demography, Extreme Cold, Community design, Socioeconomic deprivation, climate change, Hong Kong, Urban morphology, Seasons, sustainable planning
Hot Temperature, Acclimatization, Climate Change, socioeconomic deprivation, 710, Wind, Article, community design, Sustainable planning, urban morphology, Climate change, Humans, Cities, City Planning, Weather, Demography, Extreme Cold, Community design, Socioeconomic deprivation, climate change, Hong Kong, Urban morphology, Seasons, sustainable planning
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).6 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
