scholarly journals Discovering Intra-Urban Population Movement Pattern Using Taxis’ Origin and Destination Data and Modeling the Parameters Affecting Population Distribution

2021 ◽  
Vol 11 (13) ◽  
pp. 5987
Author(s):  
Fatema Rahimi ◽  
Abolghasem Sadeghi-Niaraki ◽  
Mostafa Ghodousi ◽  
Soo-Mi Choi
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Poisson Regression ◽  
Urban Population ◽  
Movement Patterns ◽  
Movement Pattern ◽  
Population Movement ◽  
Population Displacement ◽  
Study Region ◽  
Displacement Pattern

GPS-equipped vehicles are an effective approach for acquiring urban population movement patterns. Attempts have been made in the present study in order to identify the population displacement pattern of the study region using taxis’ origin and destination data, and then model the parameters affecting the population displacement pattern and provide an ultimate model in order to predict pick-up and drop-off locations. In this way, the passenger pick-up and drop-off locations have been identified in order to obtain the population movement pattern. In this study, Moran’s I index was used to measure the spatial autocorrelation, and hot spot analysis was used to analyze spatial patterns of pick-up and drop-off locations. Effective parameters modeling was performed using the Poisson regression. The results of the spatiotemporal distribution map for pick-up and drop-off locations indicated a similarity in patterns and equal results for some locations. Results also indicated different features of spatial distribution during different hours of the day. Spatial autocorrelation analysis results indicated a low probability of randomness in the general spatial distribution of the locations. The result of modeling the parameters shows the positive effect of the parameters on the pattern of population movement, and according to the p-value of 0.000, Poisson regression is significant for the pick-up and drop-off locations. The modeling results also highlighted the importance of movement patterns in recognizing urban hot spots, which is valuable for policymakers and urban planners.

scholarly journals The Spatial Distribution of Development Across Africa and Its Underlying Sustainability Correlations

2021 ◽  
Author(s):  
Joshua Ali ◽  
Richard R. Shaker
Keyword(s):  
Sustainable Development ◽  
Spatial Distribution ◽  
Natural Resources ◽  
Spatial Autocorrelation ◽  
Global Community ◽  
The Sustainable Development ◽  
Critical Issues ◽  
Six Dimensions

The realization of the critical issues that have been faced by the global community has put a particular focus on assessing the sustainable development of countries. Africa is an area that needs an assessment of sustainable development. With Africa holding over 52% of the world’s natural resources reserves, it is imperative to assess the sustainable development of the countries. The study evaluated what the underlying and spatial distribution on sustainable development was in Africa. Six dimensions of underlying sustainability and three significant signs of spatial autocorrelation were found. This provided information about the sustainability vulnerabilities within Africa. With the majority of the underlying dimensions displaying a socioeconomic focus on sustainability. Showing the collected indices result in a lack of coverage on the environmental side across the countries of Africa.

What is the Biomechanical Principle of Forehand Smash in Badminton? - Article Review

2020 ◽  
Vol 7 (2) ◽  
pp. 221-229
Author(s):  
Gilang Estina Putra ◽  
Ria Lumintuarso
Keyword(s):  
Movement Patterns ◽  
Movement Pattern ◽  
Human Movement ◽  
Biomechanical Analysis ◽  
Future Research ◽  
Good Movement

SummaryThe pattern of human movement is strongly influenced by biomotor conditions, age development will affect the level of biomotor maturity. Forehand smash is one of the techniques that every badminton athlete must master well. To do this stroke well, a good movement pattern is needed, biomotor maturity which in this study is related to the age of the athlete. So that the development of age will cause differences in movement patterns which in this study analyzes the forehand smash movement patterns in badminton based on age. It is known that the most efficient badminton technique for gaining points in badminton is the smash. The smash-hit is more likely to produce a fast shuttle lock rate performed using the forehand smash technique. So that in this study the writer will analyze a technique in badminton, namely the forehand smash technique. These findings contribute to future research on the biomechanical analysis of forehand smash motion in badminton.

scholarly journals Movement Patterns of Wintering Grassland Sparrows in Arizona

The Auk ◽  
2000 ◽  
Vol 117 (3) ◽  
pp. 748-759 ◽  
Author(s):  
Caleb E. Gordon
Keyword(s):  
Large Scale ◽  
Radio Telemetry ◽  
Movement Patterns ◽  
Movement Pattern ◽  
Summer Rainfall ◽  
Movement Behavior ◽  
Home Ranges ◽  
Mark Recapture ◽  
Mobile Species ◽  
Study Sites

Abstract I used mark-recapture analysis and radio telemetry to characterize winter movement patterns of six grassland sparrows in southeastern Arizona. Mark-recapture data were generated by banding birds captured during repeated flush-netting sessions conducted on a series of 7-ha plots over three consecutive winters. This resulted in 2,641 captures of 2,006 individual sparrows of the six species. Radio telemetry was conducted concurrently on 20 individuals of four of these species. Recapture data and radio telemetry indicated that Cassin's Sparrow (Aimophila cassinii) and Grasshopper Sparrow (Ammodramus savannarum) were the most sedentary, followed by Baird's Sparrow (Ammodramus bairdii), Vesper Sparrow (Pooecetes gramineus), Savannah Sparrow (Passerculus sandwichensis), and Brewer's Sparrow (Spizella breweri). Grasshopper, Baird's, Savannah, and Vesper sparrows tended to remain within fixed home ranges during winter. With the exception of Savannah Sparrows, whose movement behavior varied among study sites, movement patterns remained constant within species across years and study sites despite radical fluctuations in the absolute and relative abundances of all species. Interspecific differences in movement pattern suggest that species in this system partition niche space according to the regional-coexistence mechanism. Abundances of the most sedentary species, Cassin's, Grasshopper, and Baird's sparrows, were poorly or negatively correlated with summer rainfall at the between-year landscape scale, whereas abundances of the more mobile Savannah, Vesper, and Brewer's sparrows were strongly positively correlated. This is consistent with the theoretical prediction that movement constrains large-scale habitat selection, favoring mobile species in fragmented environments.

scholarly journals Households with unimproved water sources in Ethiopia: spatial variation and point-of-use treatment based on 2016 Demographic and Health Survey

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Yohannes Tefera Damtew ◽  
Abraham Geremew
Keyword(s):  
Spatial Distribution ◽  
Water Treatment ◽  
Spatial Autocorrelation ◽  
Spatial Variation ◽  
Health Survey ◽  
Health Problems ◽  
Water Sources ◽  
Demographic And Health Survey ◽  
Treatment Practice ◽  
Point Of Use

Abstract Background Improved water sources are not equally available in all geographical regions. Populations dependent on unsafe water sources are recommended to treat their water at point-of-use using adequate methods to reduce associated health problems. In Ethiopia, the spatial distribution of households using unimproved water sources have been incomplete or ignored in most of the studies. Moreover, evidence on the point-of-use water treatment practice of households dependent on such water sources is scarce. Therefore, the current study is intended to analyze the spatial distribution of unimproved water sources by wealth quintiles at country level and point-of-use treatment (POU) practices using nationally representative data. Method The data of 2016 Ethiopian Demographic and Health Survey (EDHS) conducted on 16650 households from 643 clusters were used for the analysis. For spatial analysis, the raw and spatially smoothed coverage data was joined to the geographic coordinates based on EDHS cluster identification code. Global spatial autocorrelation was performed to analyze whether the pattern of unimproved water coverage is clustered, dispersed, or random across the study areas. Once a positive global autocorrelation was confirmed, a local spatial autocorrelation analysis was applied to detect local clusters. The POU water treatment is analyzed based on reported use of either boiling, chlorine (bleach), filtration, or solar disinfection (SODIS). Results There were 5005 households using unimproved water sources for drinking purposes. Spatial variation of unimproved water coverage was observed with high coverage observed at Amhara, Afar, Southern Nations Nationalities and People and Somalia regions. Disparity in unimproved water coverage between wealth quintiles was also observed. The reported point-of-use water treatment practice among these households is only 6.24%. The odds of POU water treatment among household heads with higher education status is 2.5 times higher (95% CI = 1.43-4.36) compared to those who did not attend education. Conclusion An apparent clustering trend with high unimproved water coverage was observed between regions and among wealth quintiles hence indicates priority areas for future resource allocation and the need for regional and national policies to address the issue. Promoting households to treat water prior to drinking is essential to reduce health problems.

scholarly journals Location-Based Tracking Data and Customer Movement Pattern Analysis Using for Sustainable Fashion Business

2019 ◽  
Vol 11 (22) ◽  
pp. 6209 ◽  
Author(s):  
Jonghyuk Kim ◽  
Hyunwoo Hwangbo ◽  
Sung Jun Kim ◽  
Soyean Kim
Keyword(s):  
Field Experiments ◽  
Pattern Analysis ◽  
Movement Patterns ◽  
Movement Pattern ◽  
Tracking Data ◽  
Discrete Location ◽  
Practical Applications ◽  
Before And After ◽  
Stay Time ◽  
Visual Merchandising

Retailers need accurate movement pattern analysis of human-tracking data to maximize the space performance of their stores and to improve the sustainability of their business. However, researchers struggle to precisely measure customers’ movement patterns and their relationships with sales. In this research, we adopt indoor positioning technology, including wireless sensor devices and fingerprinting techniques, to track customers’ movement patterns in a fashion retail store over four months. Specifically, we conducted three field experiments in three different timeframes. In each experiment, we rearranged one element of the visual merchandising display (VMD) to track and compare customer movement patterns before and after the rearrangement. For the analysis, we connected customers’ discrete location data to identify meaningful patterns in customers’ movements. We also used customers’ location and time information to match identified movement pattern data with sales data. After classifying individuals’ movements by time and sequences, we found that stay time in a particular zone had a greater impact on sales than the total stay time in the store. These results challenge previous findings in the literature that suggest that the longer customers stayed in a store, the more they purchase. Further, the results confirmed that effective store rearrangement could change not only customer movement patterns but also overall sales of store zones. This research can be a foundation for various practical applications of tracking data technologies.

scholarly journals Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Stefanos Georganos ◽  
Oscar Brousse ◽  
Sébastien Dujardin ◽  
Catherine Linard ◽  
Daniel Casey ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
High Resolution ◽  
Urban Population ◽  
Informal Settlements ◽  
Malaria Prevalence ◽  
Urban Malaria ◽  
Parasite Rate ◽  
Sub Saharan ◽  
Very High

Abstract Background The rapid and often uncontrolled rural–urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa’s population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while socio-economic inequalities within the urban settings are intensified. Few studies, relying mostly on moderate to high resolution datasets and standard predictive variables such as building and vegetation density, have tackled the topic of modeling intra-urban malaria at the city extent. In this research, we investigate the contribution of very-high-resolution satellite-derived land-use, land-cover and population information for modeling the spatial distribution of urban malaria prevalence across large spatial extents. As case studies, we apply our methods to two Sub-Saharan African cities, Kampala and Dar es Salaam. Methods Openly accessible land-cover, land-use, population and OpenStreetMap data were employed to spatially model Plasmodium falciparum parasite rate standardized to the age group 2–10 years (PfPR2–10) in the two cities through the use of a Random Forest (RF) regressor. The RF models integrated physical and socio-economic information to predict PfPR2–10 across the urban landscape. Intra-urban population distribution maps were used to adjust the estimates according to the underlying population. Results The results suggest that the spatial distribution of PfPR2–10 in both cities is diverse and highly variable across the urban fabric. Dense informal settlements exhibit a positive relationship with PfPR2–10 and hotspots of malaria prevalence were found near suitable vector breeding sites such as wetlands, marshes and riparian vegetation. In both cities, there is a clear separation of higher risk in informal settlements and lower risk in the more affluent neighborhoods. Additionally, areas associated with urban agriculture exhibit higher malaria prevalence values. Conclusions The outcome of this research highlights that populations living in informal settlements show higher malaria prevalence compared to those in planned residential neighborhoods. This is due to (i) increased human exposure to vectors, (ii) increased vector density and (iii) a reduced capacity to cope with malaria burden. Since informal settlements are rapidly expanding every year and often house large parts of the urban population, this emphasizes the need for systematic and consistent malaria surveys in such areas. Finally, this study demonstrates the importance of remote sensing as an epidemiological tool for mapping urban malaria variations at large spatial extents, and for promoting evidence-based policy making and control efforts.

Non-linear interactions of urban and freshwater systems: Exploring implications for sustainability and water planning and management

2020 ◽  
Author(s):  
Héctor Angarita ◽  
Vishal Mehta ◽  
Efraín Domínguez
Keyword(s):  
Spatial Distribution ◽  
Urban Areas ◽  
Human Population ◽  
Urban Population ◽  
Urban Systems ◽  
Resource Base ◽  
Freshwater Systems ◽  
Non Linear ◽  
Freshwater System

<p>Human population is progressing into a predominantly urban configuration. Currently, 3.5 billion people – 55% of the total human population – live in urban areas, with an increase to 6.68 billion (68%) projected by 2050. In this progressively more populated world, a central issue of sustainability assessments is understanding the role of cities as entities that, despite their comparatively small physical footprint (less than 0.5% of the global area) demand resources at regional and global scales.</p><p>Many of the resources that sustain urban population directly depend on the freshwater system: from direct fluxes from/to the immediate environment of cities for water supply or waste elimination, to water-dependent activities like biomass (food, biofuels, fibers) and energy production. Urban and freshwater system interactions are subject to multiple sources of non-linearity. Factors like the patterns of size or spatial distribution and interconnection of groups of cities; or the nested and hierarchical character of freshwater systems, can vastly influence the amount of resources required to sustain and grow urban population; likewise, equivalent resource demands can be met through different management strategies that vary substantially in their cumulative pressure exerted on the freshwater system.</p><p>Here we explore the non-linear character of those interactions, to i. identify water management options to avoid, minimize or offset regional impacts of growing urban populations, and ii. explore long term implications of such non-linearities in sustained resource base of urban areas. We propose a framework integrating three elements: 1. properties of the size and spatial distribution of urban center sizes, 2. scaling regime of urban energy resource dependencies, and 3. scaling regime of associated physical and ecological impacts in freshwater systems.</p><p>An example of this approach is presented in a case study in the Magdalena River Basin – MRB (Colombia). The basin covers nearly one quarter of Colombia’s national territory and provides sustenance to 36 million people, with three quarters of basin inhabitants living in medium to large urban settlements of populations of 12 000 or more inhabitants and 50% concentrated in the 15 largest cities. The case study results indicate that freshwater-mediated resource dependencies of urban population are described by a linear or super-linear regime that indicates a lack of scale economies, however, freshwater systems’ capacity to assimilate those resource demands is characterized by a sublinear regime. As a result, current practices and technological approaches to couple freshwater and urban systems will not be able to withstand the resource demands of mid-term future population scenarios.  Our approach allows to quantify the projected gaps to achieve a sustained resource base for urban systems in MRB.</p>

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