scholarly journals Hierarchical organization of urban mobility and its connection with city livability

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Aleix Bassolas ◽  
Hugo Barbosa-Filho ◽  
Brian Dickinson ◽  
Xerxes Dotiwalla ◽  
Paul Eastham ◽  
...  

Abstract The recent trend of rapid urbanization makes it imperative to understand urban characteristics such as infrastructure, population distribution, jobs, and services that play a key role in urban livability and sustainability. A healthy debate exists on what constitutes optimal structure regarding livability in cities, interpolating, for instance, between mono- and poly-centric organization. Here anonymous and aggregated flows generated from three hundred million users, opted-in to Location History, are used to extract global Intra-urban trips. We develop a metric that allows us to classify cities and to establish a connection between mobility organization and key urban indicators. We demonstrate that cities with strong hierarchical mobility structure display an extensive use of public transport, higher levels of walkability, lower pollutant emissions per capita and better health indicators. Our framework outperforms previous metrics, is highly scalable and can be deployed with little cost, even in areas without resources for traditional data collection.

2012 ◽  
Vol 12 (8) ◽  
pp. 21211-21239 ◽  
Author(s):  
R. Wang ◽  
S. Tao ◽  
P. Ciais ◽  
H. Z. Shen ◽  
Y. Huang ◽  
...  

Abstract. High-resolution mapping of fuel combustion and CO2 emission provides valuable information for inferring terrestrial carbon balance, modeling pollutant transport, and developing mitigation strategies. Previous inventories included only a limited number of fuel types and anthropogenic emissions were mapped using national population proxies which may distort the geographical distribution within countries. In this study, a sub-national disaggregation method (SDM) was applied to establish a global 0.1°×0.1° geo-referenced inventory of fuel combustion (PKU-FUEL) and a corresponding CO2 emission inventory (PKU-CO2) based upon 64 fuel sub-types for the year 2007. Uncertainties of the new inventories were evaluated using a Monte Carlo method. The total combustion CO2 emission in 2007 was 11.2 (9.11 and 13.3 as 5th and 95th percentiles) Pg C yr−1. By replacing national disaggregation with sub-national disaggregation in this study, the average 95th minus 5th percentile ranges of CO2 emission for all grids can be reduced from 417 to 68.2 Mg km−2 yr−1, indicating a significant reduction in uncertainty, because the uneven distribution of per-capita fuel consumptions within countries has been taken into account by using the sub-national fuel consumption data directly. Significant difference in per-capita CO2 emissions between urban and rural areas was found in developing nations (2.09 vs. 0.600 Mg C cap−1 yr−1), but not in developed ones (3.57 vs. 3.42 Mg C cap−1 yr−1), suggesting strong influence of the rapid urbanization of these countries on the carbon emission. By using the CO2 emission product, a new spatial pattern of terrestrial carbon sink was derived and the impact of sub-national disaggregation is discussed.


2015 ◽  
Vol 28 ◽  
pp. 73-80
Author(s):  
Mohan Bikram Shrestha ◽  
Udhab Raj Khadka

The water footprint is consumption-based indicator of water use. Water footprint is defined as the total volume of both indirect and the direct freshwater used for producing goods and services consumed by individuals or inhabitants of community. There are many studies regarding the direct water use but studies incorporating both direct and indirect water use is deficient. This study tries to estimate total volume of water based on the consumption pattern of different commodities by individuals of Kathmandu Metropolitan city using extended water footprint calculator. The average water footprint of individuals appears to be 1145.52 m3/yr. The indirect and direct water footprint appears to be 1070.82 Mm3/yr and 46.59 Mm3/yr respectively which cumulatively give the total water footprint of Kathmandu Metropolitan City of 1117.40 Mm3/yr. This volume is equal to 2.27 times the annual flow the River Bagmati. The indirect water footprint includes food water footprint of 1055.60 Mm3/yr or 2.14 times the annual flow and industrial water use of 15.22 Mm3/yr or 0.03 times the annual flow while the direct water footprint includes domestic water use of 46.59 Mm3/yr or 0.09 times the annual flow. In food water footprint, cereals consumption shared the highest contribution of 34.82% followed by meat consumption with share of 32.62% in total water footprint. Per capita per day water use of inhabitants appears to be 3138 liters which includes water use in food items of 2965 liters, industrial water use of 43 liters and domestic water use of 131 liters. The per capita per day domestic water use is 90 liters more than supplement of 41 liters by the water operator of Kathmandu Valley. Per capita per day domestic water use is already 5 liters more than expected improvement in water supplement of 126 liters per capita per day in 2025 after accomplishment of Melamchi water project. And, it is expected to increase further observing the rapid urbanization of Kathmandu Metropolitan City. The study showed water footprint of individuals is directly related to food consumption behavior, life style and services used therefore it is necessary to initiate water offsetting measures at individual level and water operator to find environmentally sustainable alternatives along with ongoing water project to fulfill demand. J. Nat. Hist. Mus. Vol. 28, 2014: 73-80


Food Security ◽  
2020 ◽  
Author(s):  
Deepthi E. Kolady ◽  
Shivendra Kumar Srivastava ◽  
David Just ◽  
Jaspal Singh

Abstract India experienced a consumption puzzle since the 1970s, whereby households’ calorie intakes declined over time, despite significant economic growth. This declining trend in calorie intake (consumption puzzle) was reversed for the first time in 2011–12. This is the first empirical study that investigates the relationship between refinements in data collection on food away from home (FAFH) and the trend reversal in per capita calorie intake decline in India. Findings from the study showed that the declining trend in calorie intake in India has been partly due to measurement issues and that correcting for these issues through refinements in data collection for FAFH in 2011–12 had a positive effect on the reversal of the calorie intake decline. India uses per capita calorie intake estimated using data from HCES to define the official poverty line, a benchmark used in designing many social welfare programs. Incorrect estimates of calorie intake will have negative implications on the effectiveness of welfare programs aimed at reducing food insecurity. Findings from this study provide insights for further improvement in data collection regarding household-level consumption expenditures. The study has implications not only for India but also for other countries that use household-level consumption data to understand diets and to design food and nutrition programs.


2019 ◽  
Vol 48 (2) ◽  
pp. 126-132 ◽  
Author(s):  
Glykeria Myrovali ◽  
Maria Morfoulaki ◽  
Bartholomew-Michael Vassilantonakis ◽  
Antonios Mpoutovinas ◽  
Kornilia Maria Kotoula

Putting citizens in the position of city planners while giving them a sense of purpose and plans' ownership is a difficult task since the win-win effect of participating in mobility planning is, in the majority of cases, not properly communicated. Aiming to display to travelers the value of their contribution with ultimate scope to increase the participatory approach in Sustainable Urban Mobility Plans (SUMP) concept, the current paper presents the e-platform of MOTIVATE project (MED programme, 2014-2020) developed to cover low citizens' engagement levels. MOTIVATE e-platform is estimated to become a useful tool on the hands of city planners and transport engineers via which, the daunting task of data collection and idea/views/opinions capturing will be facilitated. Furthermore, the exploitation of MOTIVATE e-platform is estimated to support travel behavior change towards environmental friendly ways of transport and increase the acceptability, and thus the efficiency, of sustainable mobility plans.


Author(s):  
Scott N Lieske ◽  
Simone Z Leao ◽  
Lindsey Conrow ◽  
Chris Pettit

In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these data in order to determine their appropriate use for planning and management. Moreover, with growth and rapid urbanization in many cities, there are increasing challenges associated with urban mobility. The goal of this research is to develop an understanding of the geographical representativeness of crowdsourced data in the context of urban mobility through investigation of bicycling in Australian cities. In order to leverage both the geographic distribution and high volume of crowdsourced data for validity assessment, we present a two-stage statistical approach. First, we evaluate flow data through correlation between spatial interaction matrices in the presence of spatial autocorrelation. The second stage evaluates the quantity of information available within the interaction matrices. The approach is demonstrated with crowdsourced bicycling commuting routes recorded by the RiderLog app from 2010 to 2014 that are then correlated with census bicycling journey to work data. Data are from four of Australia’s state capital cities: Adelaide, Brisbane, Melbourne and Perth. These methods assess the representativeness of individual bicycle routes that address the full pattern of flows within multiorigin multidestination systems and incorporate spatial autocorrelation. Results indicate that these crowdsourced data are geographically representative of regional travel where there are higher data volumes, generally in central business districts and occasionally in outlying areas. This research provides insights into both methods for statistical comparison of flow data and the use of crowdsourced bicycling routes for urban planning and management.


Author(s):  
Juan Garay ◽  
David Chiriboga ◽  
Nefer Kelley ◽  
Adam Garay

There is one common health objective among all nations, as stated in the constitution of the World Health Organization in 1947: progress towards the best feasible level of health for all people. This goal captures the concept of health equity: fair distribution of unequal health. However, 70 years later, this common global objective has never been measured. Most of the available literature focuses on measuring health inequalities, not inequities, and compare health indicators (mainly access to health services) among population subgroups. A method is hereby proposed to identify standards for the best feasible levels of health through criteria of healthy, replicable, and sustainable (HRS) models. Once the HRS model countries were identified, adjusted mortality rates were applied to age- and sex-specific populations from 1950 to 2015, by calculating the net difference between the observed and expected mortality, using the HRS countries as the standard. This difference in mortality represents the net burden of health inequity (NBHiE), measured in avoidable deaths. This burden is due to global health inequity, that is, unfair inequality, due to social injustice. We then calculated the relative burden of health inequity (RBHiE), which is the proportion of NBHiE compared with all deaths. The analysis identified some 17 million avoidable deaths annually, representing around one-third of all deaths during the 2010–2015 period. This avoidable death toll (NBHiE) and proportion (RBHiE) have not changed much since the 1970s. Younger age groups and women are affected the most. When data were analyzed using smaller sample units (such as provinces, states, counties, or municipalities) in some countries, the sensitivity was increased and could detect higher levels of burden of health inequity. Most of the burden of health inequity takes place in countries with levels of income per capita below the average of the HRS countries, which we call the “dignity threshold.” Based on this threshold, a distribution of the world’s resources compatible with the universal right to health—the “equity curve”—is estimated. The equity curve would hypothetically be between this dignity threshold and a symmetric upper threshold around the world’s average per capita GDP. Such excess income prevents equitable distribution is correlated with a carbon footprint leading to >1.5º global warming (thus undermining the health of coming generations), and does not translate to better health or well-being. This upper threshold is defined as the “excess accumulation threshold.” The international redistribution required to enable all nations to have at least an average per capita income above the dignity threshold would be around 8% of the global GDP, much higher than the present levels of international cooperation. At subnational levels, the burden of health inequity can be the most sensitive barometer of socioeconomic justice between territories and their populations, informing and directing fiscal and territorial equity schemes and enabling all people within and between nations to enjoy the universal right to health. HRS models can also inspire lifestyles, and political and economic frameworks of ethical well-being, without undermining the rights of others in present and future generations.


2019 ◽  
Vol 11 (9) ◽  
pp. 2458 ◽  
Author(s):  
Tomasz Bieliński ◽  
Agnieszka Kwapisz ◽  
Agnieszka Ważna

Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion. As there is little research exploring the performance of bicycle-sharing systems (BSS), many municipal authorities invest in their development without knowledge of their effectiveness. Therefore, the aim of this article is to identify factors that correlate with BSS performance. Data related to BSS and urban characteristics were collected for the 56 cities in Poland, which is the population of BSS systems in this country. The Ordinary Least Square regression model was used to estimate the model. Additionally, to support our findings, a survey of 3631 cyclists was conducted. Our main findings show that BSS performance was positively related to cities’ population, tourism, number of bike stations per capita, congestion, bicycle pathways’ length and higher temperature, and negatively related to precipitation. We have also found that one BSS operator was more effective compared to the others.


2016 ◽  
Vol 11 (1) ◽  
pp. 14-18
Author(s):  
Mahbubur Rahman Bhuiyan ◽  
Sk Akhtar Ahmad ◽  
Md Shahidullah ◽  
Mahfuzur Rahman Bhuiyan

Introduction: Malnutrition is one of the leading causes of disease in children. Prevention of under nutrition is one of the priority efforts to reduce childhood mortality. About 20% of the population is forced to reside in urban slum due to rapid urbanization. Lack of basic human necessities in the urban slum, adversely affects the nutritional status resulting in poor growth and development of the slum children.Objectives: To assess nutritional status and associated factors among 24 to 59 months old urban slum children of Dhaka city in Bangladesh.Materials and Methods: This cross sectional study was conducted during the period of March 2009 to June 2009 among 24 to 59 months old children of Vashantek slum of Dhaka. A total of 207 children who were available along with their mother during data collection period, were included as the study participants. For data collection face to face interview of the mother was performed and to determine the nutritional status of children anthropometric measurement was carried out.Results: Among the total 207 children, 54.1% were male and 45.9% were female. The mean age± standard deviation of the children was 43.6±11.0 months. As per Z-score of National Centre for Health Statistics (NCHS) reference classification, 45.4% children were underweight, 48.3% were stunted and 28.1% were wasted. Majority of the malnourished children were within 46 months of age. There was a little difference in nutritional status between male and female children. As per immunization schedule, 85.0% of the children completed their immunization. A higher proportion of the underweight children (57.7%) were not exclusively breastfed in comparison to that of the wasted children (42.3%). Moreover, it was revealed that there was a positive association between incomplete immunization and underweight, stunting and wasting (p<0.05). The study also showed that there was an association between history of absence of exclusive breast feeding and underweight (p<0.005) and wasting (p<0.001) status of the children.Conclusion: The study revealed that none of the slum children had normal nutrition, all of them were suffering from malnutrition and majority of them had stunted growth or were underweight. As the slum children are a part of urban society and will be the future generation, it is expected that the finding of this study will sensitize the policy makers to formulate policy and undertake measures to prevent malnutrition amongst the slum children.Journal of Armed Forces Medical College Bangladesh Vol.11(1) 2015: 14-18


2015 ◽  
Vol 15 (19) ◽  
pp. 11411-11432 ◽  
Author(s):  
G. Janssens-Maenhout ◽  
M. Crippa ◽  
D. Guizzardi ◽  
F. Dentener ◽  
M. Muntean ◽  
...  

Abstract. The mandate of the Task Force Hemispheric Transport of Air Pollution (TF HTAP) under the Convention on Long-Range Transboundary Air Pollution (CLRTAP) is to improve the scientific understanding of the intercontinental air pollution transport, to quantify impacts on human health, vegetation and climate, to identify emission mitigation options across the regions of the Northern Hemisphere, and to guide future policies on these aspects. The harmonization and improvement of regional emission inventories is imperative to obtain consolidated estimates on the formation of global-scale air pollution. An emissions data set has been constructed using regional emission grid maps (annual and monthly) for SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5, BC and OC for the years 2008 and 2010, with the purpose of providing consistent information to global and regional scale modelling efforts. This compilation of different regional gridded inventories – including that of the Environmental Protection Agency (EPA) for USA, the EPA and Environment Canada (for Canada), the European Monitoring and Evaluation Programme (EMEP) and Netherlands Organisation for Applied Scientific Research (TNO) for Europe, and the Model Inter-comparison Study for Asia (MICS-Asia III) for China, India and other Asian countries – was gap-filled with the emission grid maps of the Emissions Database for Global Atmospheric Research (EDGARv4.3) for the rest of the world (mainly South America, Africa, Russia and Oceania). Emissions from seven main categories of human activities (power, industry, residential, agriculture, ground transport, aviation and shipping) were estimated and spatially distributed on a common grid of 0.1° × 0.1° longitude-latitude, to yield monthly, global, sector-specific grid maps for each substance and year. The HTAP_v2.2 air pollutant grid maps are considered to combine latest available regional information within a complete global data set. The disaggregation by sectors, high spatial and temporal resolution and detailed information on the data sources and references used will provide the user the required transparency. Because HTAP_v2.2 contains primarily official and/or widely used regional emission grid maps, it can be recommended as a global baseline emission inventory, which is regionally accepted as a reference and from which different scenarios assessing emission reduction policies at a global scale could start. An analysis of country-specific implied emission factors shows a large difference between industrialised countries and developing countries for acidifying gaseous air pollutant emissions (SO2 and NOx) from the energy and industry sectors. This is not observed for the particulate matter emissions (PM10, PM2.5), which show large differences between countries in the residential sector instead. The per capita emissions of all world countries, classified from low to high income, reveal an increase in level and in variation for gaseous acidifying pollutants, but not for aerosols. For aerosols, an opposite trend is apparent with higher per capita emissions of particulate matter for low income countries.


Author(s):  
Asif Ahmed ◽  
Tasnima Haque ◽  
Mohammad Mahmudur Rahman

AbstractHuman race has often faced pandemic with substantial number of fatalities. As COVID-19 pandemic reached and endured in every corner on earth, countries with moderate to strong healthcare support and expenditure seemed to struggle in containing disease transmission and casualties. COVID-19 affected countries have variability in demographic, socioeconomic and life style health indicators. At this context it is important to find out at what extent these parametric variations are actually modulating disease outcomes. To answer this, we have selected demographic, socioeconomic and health indicators e.g. population density, percentage of urban population, median age, health expenditure per capita, obesity, diabetes prevalence, alcohol intake, tobacco use, case fatality of non communicable diseases (NCDs) as independent variables. Countries were grouped according to these variables and influence on dependent variables e.g. COVID-19 test positive, case fatality and case recovery rates were statistically analyzed. The results suggest that countries with variable median age has significantly different outcome on test positive rate (P<0.01). Both median age (P=0.0397) and health expenditure per capita (P=0.0041) has positive relation with case recovery. Increasing number of test per 100K population showed positive and negative relation with number of positives per 100K population (P=0.0001) and percentage of test positives (P<0.0001) respectively. Alcohol intake per capita in liter (P=0.0046), diabetes prevalence (P=0.0389) and NCDs mortalities (P=0.0477) also showed statistical relation with case fatality rate. Further analysis revealed that countries with high healthcare expenditure along with high median age and increased urban population showed more case fatality but also had better recovery rate. Investment in health sector alone is insufficient in controlling pandemic severity. Intelligent and sustainable healthcare both in urban and rural settings and healthy lifestyle acquired immunity may reduce disease transmission and comorbidity induced fatalities respectively.


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