scholarly journals Developing Participatory Analytics Techniques to Inform the Prioritization of Cycling Infrastructure

2021 ◽  
Author(s):  
Oliver Lock ◽  
Christopher Pettit
Keyword(s):  
Planning Process ◽  
Data Sets ◽  
Complex Data ◽  
Study Approach ◽  
Key Stakeholders ◽  
Planning Support System ◽  
Bicycle Infrastructure ◽  
Government Planning ◽  
Group Members ◽  
Bicycle Planning

The planning of bicycle infrastructure across our cities remains is a complex task involving many key stakeholders including the community, who traditionally have had limited involvement in the planning process. This research develops an interactive bicycle prioritisation index tool which includes participatory spatial and textual citizen feedback. The research involves three components. Firstly, a survey of current cyclists in Sydney, their current level of participation, priorities in investment in cycling, and preferred locations for cycling infrastructure. Secondly, it documents the development of an interactive digital bicycle planning tool which is informed through citizen feedback. Thirdly, it evaluates the approach in conversation with potential end-users, including government, planning practitioners, and advocacy group members. The research proposes the combination of multiple passive and active data traces with end-user evaluation to legitimise the citizen co-design of bicycle investment prioritisation initiatives. A case study approach has been taken, focusing on the city of Sydney, Australia. The bicycle planning support system can be used by cities when engaging in cycle prioritisation initiatives, particularly with a focus on integrating citizen feedback and navigating new and complex data landscapes introduced through recent, passively collected big data sets.

scholarly journals Conservation Debates: People’s Perceptions and Values towards a Privately Protected Area in Southern Ecuador

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 233
Author(s):  
Verónica Iñiguez-Gallardo ◽  
Fabián Reyes-Bueno ◽  
Olga Peñaranda
Keyword(s):  
Protected Areas ◽  
Land Tenure ◽  
Protected Area ◽  
Planning Process ◽  
Social Needs ◽  
Structured Interviews ◽  
Key Stakeholders ◽  
Southern Ecuador ◽  
Negative Perceptions ◽  
Land Tenure System

The perceptions and values that local communities have towards protected areas are of great value for the improvement of these territories’ management. Such perceptions and values are often absent in the conservation planning process, particularly in those privately protected areas that are established in areas where the land tenure system is based not only on ownership but also on customary uses. Drawing on qualitative and quantitative data obtained through semi-structured interviews with key stakeholders and members of communities surrounding a privately protected area in southern Ecuador, we identify that the level of collaboration with the managers, the distance to the protected area, the percentage of untitled land, and the dependence on the resources (customary uses) are among the variables affecting these perceptions and values. Positive perceptions towards protected areas and naturalistic values are developed among those who collaborate with the protected area managers, whereas negative perceptions, and a mix of naturalistic and biospheric values are developed among those who have a sense of a lack of attention to social needs although supporting nature conservation at the same time. The evidence presented shows the importance of matching local peoples’ expectations with conservation goals during the establishment of a protected area.

scholarly journals The Behavior Of Bureaucracy in Formulation Annual Government Planning Process

2013 ◽  
Vol 3 (3) ◽  
pp. 108
Author(s):  
Jamaluddin Ahmad
Keyword(s):  
Planning Process ◽  
External Environment ◽  
Interaction Model ◽  
Social Model ◽  
Environment Interaction ◽  
Regional Government ◽  
Government Budget ◽  
Individual Decision ◽  
Government Planning ◽  
Bureaucratic Behavior

The consistency of regional government budget is actually reflected from adjustment planning and budgeting program, which is really determined by formulating process of annual government planning every year. Formulating process is bureaucracy responsibility, so most of behaviors of bureaucracy where dominated. This research aimed at: (1) describing behaviors of bureaucracy types in formulating process annual government planning, (2) describing external environment models interaction with behaviors of bureaucracy types in formulating process annual government planning, and (3) explain the formulating process of annual government planning principles with behaviors of bureaucracy types. The results of the research showed that between behaviors of bureaucracy types consists of: career staff type, politics type, professional type, and missioner type, which dominated by the career staff type in formulating process annual government planning. This happens because of the perception, individual decision making, communication patterns, unit leadership, internal organization and culture. While the external environment interaction model of  bureaucratic behavior is a social model the determined the regency leadership factor, factor structure, factor of bureaucratic authority, and cultural factors. While the application of the principles annual government planning formulation based on the type of bureaucratic behavior has basically done but still needs improvement.

scholarly journals Self-Organising Map Approach to Individual Profiles: Age, Sex and Culture in Internet Dating

2006 ◽  
Vol 11 (1) ◽  
pp. 114-129 ◽  
Author(s):  
Teemu Suna ◽  
Michael Hardey ◽  
Jouni Huhtinen ◽  
Yrjö Hiltunen ◽  
Kimmo Kaski ◽  
...  
Keyword(s):  
Personal Information ◽  
Analytical Techniques ◽  
Original Data ◽  
Data Sets ◽  
Complex Data ◽  
Internet Dating ◽  
Visual Maps ◽  
Unsupervised Neural Network ◽  
Recent Developments ◽  
Self Organising Map

A marked feature of recent developments in the networked society has been the growth in the number of people making use of Internet dating services. These services involve the accumulation of large amounts of personal information which individuals utilise to find others and potentially arrange offline meetings. The consequent data represent a challenge to conventional analysis, for example, the service that provided the data used in this paper had approximately 5,000 users all of whom completed an extensive questionnaire resulting in some 300 parameters. This creates an opportunity to apply innovative analytical techniques that may provide new sociological insights into complex data. In this paper we utilise the self-organising map (SOM), an unsupervised neural network methodology, to explore Internet dating data. The resulting visual maps are used to demonstrate the ability of SOMs to reveal interrelated parameters. The SOM process led to the emergence of correlations that were obscured in the original data and pointed to the role of what we call ‘cultural age’ in the profiles and partnership preferences of the individuals. Our results suggest that the SOM approach offers a well established methodology that can be easily applied to complex sociological data sets. The SOM outcomes are discussed in relation to other research about identifying others and forming relationships in a network society.

scholarly journals Is Long-Term Care Person Centred? A Case Study

2021 ◽  
Author(s):  
Katarina Young
Keyword(s):  
Long Term Care ◽  
Direct Care ◽  
Care Providers ◽  
Term Care ◽  
Study Approach ◽  
Key Stakeholders ◽  
Direct Care Providers ◽  
Government Legislation

In Ontario long-term care (LTC) settings, person-centred care (PCC) is promoted by government legislation, accreditation organizations and professional practice guidelines aiming to integrate this approach. However, there is currently no standardized approach to providing PCC in LTC. The purpose of this study was to examine public policies on PCC in Ontario and explore how they are interpreted and translated into practice in LTC. A qualitative case study approach was used to examine the perspectives of key stakeholders at one LTC facility in Ontario. Focus groups were conducted with residents, family members, direct care providers and managers. Through content analysis, findings were organized into four categories showcasing both overlapping and differential understandings of PCC in practice: 1) conceptualization, 2) barriers, 3) facilitators, and 4) evaluation. Identified tensions between policy and the delivery of PCC highlight systemic issues that must be addressed to enable equitable person-centred LTC rooted in resident-identified priorities.

scholarly journals Using Hadoop Technology to Overcome Big Data Problems by Choosing Proposed Cost-efficient Scheduler Algorithm for Heterogeneous Hadoop System (BD3)

2020 ◽  
pp. 58-84
Author(s):  
Abou_el_ela Abdou Hussein
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Data Storage ◽  
Database Management System ◽  
Data Sets ◽  
Complex Data ◽  
Daily Data ◽  
Complex Data Sets ◽  
Cost Efficient ◽  
Hadoop System

Day by day advanced web technologies have led to tremendous growth amount of daily data generated volumes. This mountain of huge and spread data sets leads to phenomenon that called big data which is a collection of massive, heterogeneous, unstructured, enormous and complex data sets. Big Data life cycle could be represented as, Collecting (capture), storing, distribute, manipulating, interpreting, analyzing, investigate and visualizing big data. Traditional techniques as Relational Database Management System (RDBMS) couldn’t handle big data because it has its own limitations, so Advancement in computing architecture is required to handle both the data storage requisites and the weighty processing needed to analyze huge volumes and variety of data economically. There are many technologies manipulating a big data, one of them is hadoop. Hadoop could be understand as an open source spread data processing that is one of the prominent and well known solutions to overcome handling big data problem. Apache Hadoop was based on Google File System and Map Reduce programming paradigm. Through this paper we dived to search for all big data characteristics starting from first three V's that have been extended during time through researches to be more than fifty six V's and making comparisons between researchers to reach to best representation and the precise clarification of all big data V’s characteristics. We highlight the challenges that face big data processing and how to overcome these challenges using Hadoop and its use in processing big data sets as a solution for resolving various problems in a distributed cloud based environment. This paper mainly focuses on different components of hadoop like Hive, Pig, and Hbase, etc. Also we institutes absolute description of Hadoop Pros and cons and improvements to face hadoop problems by choosing proposed Cost-efficient Scheduler Algorithm for heterogeneous Hadoop system.

scholarly journals Development of Planning Support System for Urban Rehabilitation and Reconstruction

2008 ◽  
Vol 3 (6) ◽  
pp. 422-428 ◽  
Author(s):  
Takaaki Kato ◽  
◽  
Itsuki Nakabayashi ◽  
Taro Ichiko ◽  
Keyword(s):  
Urban Planning ◽  
Training Program ◽  
Support System ◽  
Disaster Recovery ◽  
Planning Process ◽  
Recovery Process ◽  
Disaster Planning ◽  
Planning Support ◽  
Planning Support System ◽  
Post Disaster

The past post-disaster recovery process had many difficulties in planning. The importance of residents participatory urban planning is true of post-disaster planning and ordinary planning; however, there are difficult problems as follows: time-scale conflict between desire of affected households for swift recovery of their individual lives and enough consideration of urban planning to avoid speed-before-quality planning, unsmooth discussion and consensus building because of mutual conflict of their interest in the residents, and a shortage of professionals in the case that an earthquake disaster hits wide and high-density urbanized region. The concept of "pre-disaster planning" has been propounded as measures to deal with these serious situations after 1995 Hyogo-ken Nambu Earthquake in Japan. Actual measures including "neighborhood community-training program for post-disaster recovery" of Tokyo Metropolitan have been implemented in various approaches. This study has pioneering approach in this context. We focus on planning support technologies based on a geographic information system (GIS) and establish planning support system for post-disaster community-based urban planning, which will smooth discussion and increase efficiency of planning work. An introduction of the system will result in reduction of total time needed on the planning process and supplement of professionals. Though there are some problems that we identified, they will be solved in accumulated experiences such as the training program in the near future.

scholarly journals AN EXAMINATION OF ONE FACTOR IN SCHOOL REFORM: INCREASED TEACHER ACCOUNTABILITY IN TWO URBAN SCHOOL DISTRICTS

2018 ◽  
Vol 11 (27) ◽  
pp. 329-344
Author(s):  
Nadine Bonda
Keyword(s):  
Student Achievement ◽  
School Districts ◽  
School Reform ◽  
Standardized Testing ◽  
Planning Process ◽  
The United States ◽  
Urban School Districts ◽  
Case Study Approach ◽  
Study Approach

Beginning in 2009, and with the passage of the American Recovery and Reinvestment Act of 2009, school districts across the United States began to be held to higher standards and their progress publicly reported.  Student achievement began to be measured by standardized testing and great efforts were being made to reduce the achievement gap. This paper is based on a five-year study of teacher evaluation in two urban districts in Massachusetts where improving teacher practice was seen as an important factor in raising student achievement. This research studied efforts to address those teachers who were identified as underperforming and were supported through individual improvement plans.  This paper used a case study approach to show what the practices of a sampling of these teachers looked like, teachers’ reactions to being rated unsatisfactory, and teachers’ reactions to the improvement planning process.

EPOS-Norway Portal

2021 ◽  
Author(s):  
Jan Michalek ◽  
Kuvvet Atakan ◽  
Christian Rønnevik ◽  
Helga Indrøy ◽  
Lars Ottemøller ◽  
...  
Keyword(s):  
Web Services ◽  
Visual Analysis ◽  
Earth Science ◽  
National Research Council ◽  
Geophysical Data ◽  
Multidimensional Data ◽  
Data Sets ◽  
Complex Data ◽  
Submarine Landslides ◽  
Data Repositories

<p>The European Plate Observing System (EPOS) is a European project about building a pan-European infrastructure for accessing solid Earth science data, governed now by EPOS ERIC (European Research Infrastructure Consortium). The EPOS-Norway project (EPOS-N; RCN-Infrastructure Programme - Project no. 245763) is a Norwegian project funded by National Research Council. The aim of the Norwegian EPOS e‑infrastructure is to integrate data from the seismological and geodetic networks, as well as the data from the geological and geophysical data repositories. Among the six EPOS-N project partners, four institutions are providing data – University of Bergen (UIB), - Norwegian Mapping Authority (NMA), Geological Survey of Norway (NGU) and NORSAR.</p><p>In this contribution, we present the EPOS-Norway Portal as an online, open access, interactive tool, allowing visual analysis of multidimensional data. It supports maps and 2D plots with linked visualizations. Currently access is provided to more than 300 datasets (18 web services, 288 map layers and 14 static datasets) from four subdomains of Earth science in Norway. New datasets are planned to be integrated in the future. EPOS-N Portal can access remote datasets via web services like FDSNWS for seismological data and OGC services for geological and geophysical data (e.g. WMS). Standalone datasets are available through preloaded data files. Users can also simply add another WMS server or upload their own dataset for visualization and comparison with other datasets. This portal provides unique way (first of its kind in Norway) for exploration of various geoscientific datasets in one common interface. One of the key aspects is quick simultaneous visual inspection of data from various disciplines and test of scientific or geohazard related hypothesis. One of such examples can be spatio-temporal correlation of earthquakes (1980 until now) with existing critical infrastructures (e.g. pipelines), geological structures, submarine landslides or unstable slopes.  </p><p>The EPOS-N Portal is implemented by adapting Enlighten-web, a server-client program developed by NORCE. Enlighten-web facilitates interactive visual analysis of large multidimensional data sets, and supports interactive mapping of millions of points. The Enlighten-web client runs inside a web browser. An important element in the Enlighten-web functionality is brushing and linking, which is useful for exploring complex data sets to discover correlations and interesting properties hidden in the data. The views are linked to each other, so that highlighting a subset in one view automatically leads to the corresponding subsets being highlighted in all other linked views.</p>

Alternative Clustering

2017 ◽  
pp. 1-12 ◽  
Author(s):  
Avinash Navlani ◽  
V. B. Gupta
Keyword(s):  
Research Problem ◽  
Research Community ◽  
Data Sets ◽  
Complex Data ◽  
High Quality ◽  
Data Set ◽  
Alternative Clustering ◽  
Complex Data Sets ◽  
Data Objects ◽  
Community Clustering

In the last couple of decades, clustering has become a very crucial research problem in the data mining research community. Clustering refers to the partitioning of data objects such as records and documents into groups or clusters of similar characteristics. Clustering is unsupervised learning, because of unsupervised nature there is no unique solution for all problems. Most of the time complex data sets require explanation in multiple clustering sets. All the Traditional clustering approaches generate single clustering. There is more than one pattern in a dataset; each of patterns can be interesting in from different perspectives. Alternative clustering intends to find all unlike groupings of the data set such that each grouping has high quality and distinct from each other. This chapter gives you an overall view of alternative clustering; it's various approaches, related work, comparing with various confusing related terms like subspace, multi-view, and ensemble clustering, applications, issues, and challenges.

Science Communication with Dinosaurs

2012 ◽  
pp. 587-611
Author(s):  
Phillip L. Manning ◽  
Peter L. Falkingham
Keyword(s):  
High Performance Computing ◽  
Public Engagement ◽  
Science Communication ◽  
High Performance ◽  
Computational Science ◽  
Data Sets ◽  
Complex Data ◽  
Multidisciplinary Research ◽  
Complex Data Sets ◽  
Performance Computing

Dinosaurs successfully conjure images of lost worlds and forgotten lives. Our understanding of these iconic, extinct animals now comes from many disciplines, not just the science of palaeontology. In recent years palaeontology has benefited from the application of new and existing techniques from physics, biology, chemistry, engineering, but especially computational science. The application of computers in palaeontology is highlighted in this chapter as a key area of development in studying fossils. The advances in high performance computing (HPC) have greatly aided and abetted multiple disciplines and technologies that are now feeding paleontological research, especially when dealing with large and complex data sets. We also give examples of how such multidisciplinary research can be used to communicate not only specific discoveries in palaeontology, but also the methods and ideas, from interrelated disciplines to wider audiences. Dinosaurs represent a useful vehicle that can help enable wider public engagement, communicating complex science in digestible chunks.

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