Towards Sustainable Cities

Purpose – Cities drive urban, social and economic development and select a path for sustainability following a smart approach. Cities should evolve as smart communities understanding the potential of information technology to support collaboration between public and private organizations in order to improve urban competitiveness, sustain innovation and ensure the quality of life. The aim of this study is to identify the dimensions leading cities to sustainability: developing a smart approach; sustaining the role of municipal institutions for building smart governance; promoting education, learning and innovation. Design/methodology/approach – As smart communities, cities use technology to develop smartness and sustainability for knowledge and innovation. This study is based on archival and qualitative data drawn by literature review and analysis on smart and sustainable cities and communities. Originality/value – Cities promoting a smart approach should select a path for sustainability. Identifying dimensions driving cities to develop as sustainable cities and communities helps to identify knowledge source for innovation and urban growth. Practical implications – As smart and sustainable communities, cities should encourage partnerships between private and public actors in order to provide services, create and ensure high quality of life. As communities, cities should support people by sustaining learning and education, developing smart institutions of governance to design policies driving sustainable urban growth and development

Changes in Marine Seafood Consumption in Tokyo, Japan

This article examines the historical trends of Tokyo’s marine seafood consumption and tensions over how to promote urban sustainable consumption. Despite overwhelming evidence that global fish stocks are depleting, the Tokyo Metropolitan Government has not advanced an agenda to directly support sustainable seafood consumption. In this vacuum national government policies, increasing wealth, changes in preferences and private initiatives have promoted the consumption of ever larger amounts of seafood. Notwithstanding these forces, however, consumption patterns since the 1970s have changed in unpredictable ways. The per capita proportion consumed of prized, high trophic level and high status seafood, such as carnivorous fish, is declining while the consumption of other types of seafood from lower trophic levels is increasing. Moreover, seafood prices seem to play little role in these trends. Despite their great wealth and the forces that are promoting increased consumption, those living in Tokyo cannot overcome the biophysical limits posed by increasing depleted marine stocks. These results suggest an urgent need to begin implementing policies that will help lower seafood consumption at the local, national and global level to protect this resource for future generations

The geography of greenhouse gas emissions from within urban areas of Asia

This paper aims to advance two objectives: (1) identify and explore greenhouse gas emissions from urban areas in Asia at the regional level; and (2) explore covariates of urban greenhouse gas emissions. We use the Emissions Database for Global Atmospheric Research estimates for carbon dioxide, methane, nitrous oxide, and sulfur hexafluoride from 14 source activities for the year 2000, which are allocated on a 1/108 global grid. We extract emissions for 3535 urban extents all with populations over 50,000, accounting for approximately 91% of the region’s urban population. We use regression analysis to associate emissions with urban area and growth, economic, and biophysical characteristics. Our findings suggest that urban areas account for between 30 and 38% of total anthropogenic greenhouse gas emissions for the region and that emission per capita averages from urban areas are lower than those at the national level. Important covariates for total urban greenhouse gas emissions include population size, density and growth rate, income per capita, development status and elevation. This is a first and preliminary assessment of regional baseline trends using these data and this top-down analysis

Urban Growth and Heat in Tropical Climates

This research describes the change in temperatures across approximately 270 tropical cities from 1960 to 2020 with a focus on urban warming. It associates urban growth indicators with temperature variations in tropical climate zones (tropical rainforest, tropical monsoon, and tropical wet-dry savanna). Our findings demonstrate that over time while temperatures have increased across the tropics, urban residents have experienced higher temperatures (minimum and maximum) than those living outside of cities. Moreover, in certain tropical zones, over the study period, temperatures have risen faster in urban areas than the background (non-urban) temperatures. The results also suggest that with continuing climate change and urban growth, temperatures will continue to rise at higher than background levels in tropical cities unless mitigation measures are implemented. Several fundamental characteristics of urban growth including population size, population density, infrastructure and urban land use patterns are factors associated with variations in temperatures. We find evidence that dense urban forms (compact residential and industrial developments) are associated with higher temperatures and population density is a better predictor of variation in temperatures than either urban population size or infrastructure in most tropic climate zones. Infrastructure, however, is a better predictor of temperature increases in wet-dry savanna tropical climates than population density. There are a number of potential mitigation measures available to urban managers to address heat. We focus on ecological services, but whether these services can address the projected increasing heat levels is unclear. More local research is necessary to untangle the various contributions to increasing heat in cities and evaluate whether these applications can be effective to cool tropical cities as temperature continue to rise. Our methods include combining several different datasets to identify differences in daily, seasonal, and annual maximum and minimum temperatures

Examination of Human Health Impacts Due to Adverse Climate Events Through the Use of Vulnerability Mapping: A Scoping Review

Government officials, health professionals, and other decision makers are tasked with characterizing vulnerability and understanding how populations experience risks associated with exposure to climate-related hazards. Spatial analyses of vulnerable locations have given rise to climate change vulnerability mapping. While not a new concept, the spatial analyses of specific health outcomes remain limited. This review explores different methodologies and data that are used to assess vulnerability and map population health impacts to climate hazards. The review retrieved scholarly articles and governmental reports concerning vulnerability mapping of human health to the impacts of climate change in the United States, published in the last decade. After review, 37 studies were selected for inclusion. Climate-related exposures were distributed across four main categories, including: high ambient temperatures; flood hazards; vector-borne diseases; and wildfires. A number of different methodologies and measures were used to assess health vulnerability to climate-related hazards, including heat vulnerability indices and regression analyses. Vulnerability maps should exemplify how variables measuring the sensitivity and adaptive capacity of different populations help to determine the potential for climate-related hazards to have an effect on human health. Recommendations address methodologies, data gaps, and communication to assist researchers and stakeholders in directing adaptations to their most efficient and effective use

The geography of greenhouse gas emissions from within urban areas of India

This paper examines the patterns of greenhouse gas (GHG) emissions from urban areas in India—a rapidly growing and urbanizing nation. It uses a new dataset, Emission Dataset for Global Atmospheric Research (EDGAR) to estimate the urban share of national GHG emissions. It presents a geographic picture of emission variation by urban form (urban population size, area size, density, and growth rate), and economic (GDP and GDP per capita), geographic (location of emissions released: 20, 40, and 80 km from urban areas), and biophysical (ecosystem and climate: cooling degree days) characteristics. Dependent variables include emissions of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and hexafluoride (SF6) from 14 source activities (agricultural soils, agricultural wastes, aviation, energy, fossil-fuel fires, fugitive escapes from solids, industry, livestock, navigation, non-road transport, oil and gas production, residential, road transport, and waste) for the year 2000 that are allocated on a 0.1° global grid. We examine 721 urban areas with more than 50,000 residents (accounting for 92% of the total Indian urban population), present findings, and compare our results with urban-level carbon footprint analyses. The results demonstrate that GHG emissions from urban areas in India are lower than that presented in the literature, and that differences in emissions levels vary with urban form, economic, geographic, and biophysical variables

The Role of Suburbia in the Attribution of Greenhouse Gas Emissions

The original goal of the research presented here was to quantify by world region, the contribution of urbanized areas to global greenhouse gas (GHG) emissions (EDGAR, 2011). Regressions on population density and growth rate, GDP, and heating/cooling degree days, as well as a row of other non-significant variables, show that the contribution of urban extents is between 38% and 49% of total emissions (Marcotullio et al., 2012). In spite of using very liberal definitions of urban extents (GRUMP, 2011) this is at the low end of academic estimates (Satterthwaite, 2008; WEO, 2008; Dhakal, 2010). It is no surprise that the relative weight of individual variables varies by world region and economic development. We were, however, very surprised to find that around the world, the highest levels of GHG emissions are in a belt 20-40 km around urban centres. This result is consistent using both traditional fixed-effects and spatial regression techniques, which will be discussed in detail in this paper. There are variations (e.g. the role of African suburbs is smaller than that of their Asian and European counterparts) but the signature prevails. We suggest that this has consequences for both planning and geography theory as well as for policy. In spite of globalization, we have very few local indicators that are so consistently the same across cultures, economic and physical regimes. On a practical level, our results are an urgent reminder that cities by and large are rather efficient constructs while the biggest impacts on minimizing GHG emissions can be achieved by optimizing suburban energy use and transport