scholarly journals Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

2021 ◽  
Vol 13 (2) ◽  
pp. 605
Author(s):  
Zahra Nourmohammadi ◽  
Tanapon Lilasathapornkit ◽  
Mudabber Ashfaq ◽  
Ziyuan Gu ◽  
Meead Saberi
Keyword(s):  
Negative Correlation ◽  
Seasonal Variations ◽  
Environmental Performance ◽  
Traffic Noise ◽  
Time Dependent ◽  
Data Sources ◽  
Street Level ◽  
Urban Greenery ◽  
Key Aspects ◽  
Sydney Australia

Measuring urban environmental performance supports understanding and improving the livability and sustainability of a city. Creating a more livable and attractive environment facilitates a greater shift to active and greener transport modes. Two key aspects, among many others, that determine the environmental performance of an urban area are greenery and noise. This study aims to map street-level greenery and traffic noise using emerging data sources including crowd-sourced mobile phone-based data and street-level imagery data in Sydney, Australia. Results demonstrate the applicability of emerging data sources and the presented advanced techniques in capturing the seasonal variations in urban greenery and time-dependent nature of traffic noise. Results also confirm the presence of a negative correlation between urban greenery and traffic noise.

scholarly journals Growth of the tambaqui Colossoma macropomum (Cuvier) (Characiformes: Characidae): which is the best model?

2005 ◽  
Vol 65 (1) ◽  
pp. 129-139 ◽  
Author(s):  
M. A. H Penna ◽  
M. A Villacorta-Corrêa ◽  
T. Walter ◽  
M. Petrere-JR
Keyword(s):  
Growth Model ◽  
Negative Correlation ◽  
The Other ◽  
Data Sources ◽  
Von Bertalanffy ◽  
Data Set ◽  
Colossoma Macropomum ◽  
Von Bertalanffy Model ◽  
Estimated Parameters ◽  
Schnute Model

In order to decide which is the best growth model for the tambaqui Colossoma macropomum Cuvier, 1818, we utilized 249 and 256 length-at-age ring readings in otholiths and scales respectively, for the same sample of individuals. The Schnute model was utilized and it is concluded that the Von Bertalanffy model is the most adequate for these data, because it proved highly stable for the data set, and only slightly sensitive to the initial values of the estimated parameters. The phi' values estimated from five different data sources presented a CV = 4.78%. The numerical discrepancies between these values are of not much concern due to the high negative correlation between k and L<FONT FACE=Symbol>¥</FONT> viz, so that when one of them increases, the other decreases and the final result in phi' remains nearly unchanged.

Seasonal variations in the composition and thermal properties of New Zealand milk fat: I. Fatty-acid composition

1973 ◽  
Vol 40 (2) ◽  
pp. 207-214 ◽  
Author(s):  
I. K. Gray
Keyword(s):  
Fatty Acid Composition ◽  
Thermal Properties ◽  
Fatty Acid ◽  
New Zealand ◽  
Acid Composition ◽  
Negative Correlation ◽  
Seasonal Variations ◽  
Milk Fat ◽  
Significant Negative Correlation ◽  
Weight Percentage

SummaryThe fatty-acid composition of 17 samples of New Zealand milk fat obtained throughout one dairy season is reported.The weight percentage of butyric (C4:0) acid was significantly correlated with that of caproic (C6:0) acid and that of caprylic (C8:0) acid. Percentages of C6:0and C8:0showed a highly significant correlation with each other and with weight percentages of capric (C10:0) and lauric (C12:0) acids.There was a highly significant negative correlation between palmitic (C16:0) and stearic (C18:0) acids and between C4:0and C16:0acids. Oleic (C18:1) acid showed significant negative correlations with C8:0, C10:0, C12:0, myristic (C14:0) and C16:0acids.

scholarly journals Effect of Glaciers on Annual Run-Off, Johan Dahl Land, South Greenland

1988 ◽  
Vol 34 (117) ◽  
pp. 200-207 ◽  
Author(s):  
R. J. Braithwaite ◽  
Ole B. Olesen
Keyword(s):  
Statistical Model ◽  
Negative Correlation ◽  
Seasonal Variations ◽  
Data Sets ◽  
Weather Station ◽  
Moderate Amount ◽  
Run Off ◽  
Few Data

AbstractRun-off data for two basins in south Greenland, one of which contains glaciers, are compared with precipitation at a nearby weather station and with ablation measured in the glacier basin. Seasonal variations of run-off for the two basins are broadly similar while run-off from the glacier basin has smaller year-to-year variations. A simple statistical model shows that this is the result of a negative correlation between ablation and precipitation, which has the effect of reducing run-off variations in basins with a moderate amount of glacier cover although run-off variations may become large again for highly glacierized basins. The model also predicts an increasing run-off with ablation correlation and a decreasing run-off with precipitation correlation as the amount of glacier cover increases. Although there are still too few data sets from other parts of Greenland for final conclusions, there are indications that the present findings may be applicable to other Greenland basins.

scholarly journals Condition of urban park infrastructure in the context of perceived security of park users

2021 ◽  
Vol 900 (1) ◽  
pp. 012036
Author(s):  
P Polko ◽  
K Kimic
Keyword(s):  
Urban Parks ◽  
Likert Scale ◽  
High Impact ◽  
Urban Park ◽  
Personal Security ◽  
Urban Greenery ◽  
Sense Of Security ◽  
Different Types ◽  
Perceived Security ◽  
Key Aspects

Abstract Personal security is one of the key aspects affected by the perception of urban greenery, which plays an important role for city dwellers. The survey conducted in Poland in 2020 (N=394) aimed to check how important for park users in context of perceived security are selected factors related to maintenance of different types of park infrastructure (condition of equipment and pavement, also condition of greenery), level of park cleanliness (filling of the rubbish bins, litter on the ground, and graffiti on different types of facilities), and elements related to the use of park space (paths, varied topography, functional aids, and water). The condition of equipment was assessed as a factor of high impact (average of 4.13 in 5-point Likert scale), as well as the presence of park paths (4.02). The results indicate that all 10 of the examined factors are recognized as important (3 and higher). They also show that both women (compared to men) and older respondents (compared to those under 60) assessed higher the importance of factors related to the condition of elements of infrastructure and pavement, as well as the level of cleanliness in urban parks in shaping their personal sense of security.

Constructing a Database for Computable General Equilibrium Modeling of Sydney, Australia, Transport Network

2017 ◽  
Vol 2606 (1) ◽  
pp. 54-62
Author(s):  
Edward Robson ◽  
Vinayak V. Dixit
Keyword(s):  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Transport Network ◽  
Data Sources ◽  
Input Output ◽  
Output Table ◽  
Cge Models ◽  
Level Of Aggregation ◽  
Future Work ◽  
Sydney Australia

In the search for benefits to justify transport projects, economic appraisals have increasingly incorporated the valuation of impacts to the wider economy. Computable general equilibrium (CGE) models provide a framework to estimate these impacts by simulating the interactions of urban economies and transport networks. In CGE models, households and firms are represented by microeconomic behavioral functions, and markets adjust according to prices. As markets both inside and outside the transport network are taken into account, a wide variety of measures that can assist in economic appraisals can be extracted. However, urban CGE models are computationally burdensome and require detailed, spatially disaggregate data. This paper discusses the methodology used to develop a database, including an input–output table, for the calibration of an urban CGE model for Sydney, Australia. Official and publicly available data sources were manipulated by using a number of mathematical and statistical techniques to compile a table for 249 regions and 20 sectors across Sydney. Issues, such as determining the appropriate level of aggregation, generating incomplete data, and managing conflicting data, that other input–output table developers may encounter when constructing multiregional tables were addressed in the study. The table entries themselves were mapped and explored, as they provide a useful study of the spatial economy of Sydney. Future work will focus on streamlining the construction of input–output tables and incorporating new data sources.

Time-dependent and seasonal variations in drug utilization

2016 ◽  
pp. 173-183
Author(s):  
Eric Van Ganse ◽  
Laurent Laforest ◽  
Niels Adriaenssens
Keyword(s):  
Drug Utilization ◽  
Seasonal Variations ◽  
Time Dependent

Seasonal variations in heterotrophic bacterial populations in waters off Sydney

1964 ◽  
Vol 15 (1) ◽  
pp. 73
Author(s):  
AD Brown
Keyword(s):  
Negative Correlation ◽  
Seasonal Variations ◽  
Bacterial Population ◽  
Heterotrophic Bacteria ◽  
Bacterial Count ◽  
Early Summer ◽  
Total Bacterial Count ◽  
Bacterial Populations ◽  
Seawater Samples

Viable counts were made of heterotrophic bacteria in seawater samples taken from 0, 25, 50, 75, and 100 m at one station off Sydney over a period of 2 years. Populations, which fell largely within the range of 10-1000/ml, tended to be higher in spring and early summer than at other times. Some evidence was obtained of a negative correlation between bacterial population and chlorinity. There was no evidence of a correlation between bacterial populations and several other variables which were examined. A (presumed) species of Chromobacterium occurred intermittently at the lower depths with some suggestion of a correlation with season and total bacterial count.

scholarly journals Residents’ Spatial Perceptions of Urban Gardens Based on Soundscape and Landscape Differences

2020 ◽  
Vol 12 (17) ◽  
pp. 6809 ◽  
Author(s):  
Zheng Zhao ◽  
Yanbin Wang ◽  
Yilei Hou
Keyword(s):  
Cultural Heritage ◽  
Negative Correlation ◽  
Logit Model ◽  
Traffic Noise ◽  
Multinomial Logit Model ◽  
Time Of Day ◽  
Subjective Perception ◽  
Urban Gardens ◽  
Governmental Organizations ◽  
Trade Offs

In this study, four types of urban gardens, namely modern commercial, cultural heritage, historical preservation, and natural and ecological areas, were comprehensively described and analyzed based on soundscape and landscape differences, and a multinomial logit model was used to explore potential influencing factors shaping residents’ preferences regarding urban gardens. The results suggest that variations in soundscape are closely related to the characteristics of the garden areas and the timing of residents’ activities; the noise level measurements at different observation points varied considerably according to the time of day and displayed different trends. Residents strongly preferred natural sounds, and traffic noise was the most disliked category of sound. Further, a negative correlation was found between residents’ subjective perception of loudness and the favorability of the area, while a clear positive correlation existed between the degree of favorability and the degree of landscape-soundscape coordination. Regarding landscape differences, residents generally preferred urban gardens without artificial transformation and prioritized the maintenance of natural landscaping and the historical and cultural heritage of urban gardens. In particular, residents’ preferences reflected the trade-offs between natural and artificial forms of urban gardens. These results offer useful information for planners, developers, and governmental organizations related to urban gardens by providing data to design urban gardens with increased practical value and natural benefits.

scholarly journals Comparing Google Maps and Uber Movement Travel Time Data

10.32866/5115 ◽  
2018 ◽  
Author(s):  
Hao Wu
Keyword(s):  
Travel Time ◽  
Data Sources ◽  
Research Subjects ◽  
Time Data ◽  
Google Maps ◽  
Travel Time Data ◽  
Data Source ◽  
Different Sources ◽  
Selection Of ◽  
Sydney Australia

The emergence and availability of crowd sourced data provide transport researchers with comprehensive coverage in their research subjects. However, difficulties in data validation and consistency between different sources pose a threat to the credibility of research based on such data. In this paper, travel time data for Sydney, Australia from Google Maps and from Uber Movement are compared for their consistency. Although the results show the two data sources are similar in measuring travel time, travel times from Uber Movement are systematically lower than from Google. This study recommends due caution in the selection of data source, and in comparing research results using different data sources.

scholarly journals A Quality Framework for Statistics based on Administrative Data Sources using the Example of the Austrian Census 2011

2016 ◽  
Vol 39 (4) ◽  
Author(s):  
Christopher Berka ◽  
Stefan Humer ◽  
Manuela Lenk ◽  
Mathias Moser ◽  
Henrik Rechta ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Administrative Data ◽  
Quality Measures ◽  
Data Sources ◽  
Structural Quality ◽  
Methodological Framework ◽  
Process Flow ◽  
Quality Framework ◽  
Key Aspects

Along with the implementation of a register-based census we develop a methodological framework to assess administrative data sources for statistical use. Key aspects for the quality of these data are identified in the context of hyperdimensions and embedded into a process flow. Based on this approach we develop a structural quality framework and suggest a concept for quality assessment and several quality measures.

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