scholarly journals DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS

2020 ◽  
Vol VI-4/W2-2020 ◽  
pp. 173-179
Author(s):  
J. Vannieuwenhuyze
Keyword(s):  
Performance Indicators ◽  
Development Process ◽  
Subjective Evaluation ◽  
Evaluation Research ◽  
Lessons Learned ◽  
Data Driven ◽  
Policy Makers ◽  
Different Types ◽  
Development Processes ◽  
The City

Abstract. There is an ever-growing trend to pursue policies based on evidence-based and data-driven program evaluation research. In order to facilitate such evaluation research, electronic dashboards are increasingly used for translating sources of big and unstructured data into low-level summary visualizations understandable by layman policy-makers. In this paper, we report on the dashboard development process for an input-evaluation of new garden streets in the city of Antwerp. During this process, different lessons were learned. First, developers should start from a clearly defined policy question and analysis units in order to optimize the development process. Second, different types of key performance indicators exist, which should also be well-defined in advance so that appropriate data can be collected. Third, a dashboard should not be restricted to purely objective data-analyses but may also include features that facilitate subjective evaluation guided by assumptions and believes of the dashboard-user. These lessons helped us to make the dashboard requirements of Antwerp more concrete. Likewise, they may help other policy supporting dashboard developers to optimize their development processes.

From the Games Industry

2012 ◽  
pp. 79-88
Author(s):  
Paul Hollins ◽  
Nicola Whitton
Keyword(s):  
Development Process ◽  
Educational Games ◽  
Lessons Learned ◽  
Game Based Learning ◽  
Game Development ◽  
Policy Makers ◽  
Key Points ◽  
Games For Learning ◽  
Development Processes ◽  
Games Development

This paper draws on lessons learned from the development process of the entertainment games industry and discusses how they can be applied to the field of game-based learning. This paper examines policy makers and those wishing to commission or develop games for learning and highlights potential opportunities as well as pitfalls. The paper focuses on ten key points in which the authors feel from experience in both commercial game development and education that parallels are drawn between the entertainment and educational games development processes.

From the Games Industry

2011 ◽  
Vol 2 (2) ◽  
pp. 73-82 ◽  
Author(s):  
Paul Hollins ◽  
Nicola Whitton
Keyword(s):  
Development Process ◽  
Educational Games ◽  
Lessons Learned ◽  
Game Based Learning ◽  
Game Development ◽  
Policy Makers ◽  
Key Points ◽  
Games For Learning ◽  
Development Processes ◽  
Games Development

This paper draws on lessons learned from the development process of the entertainment games industry and discusses how they can be applied to the field of game-based learning. This paper examines policy makers and those wishing to commission or develop games for learning and highlights potential opportunities as well as pitfalls. The paper focuses on ten key points in which the authors feel from experience in both commercial game development and education that parallels are drawn between the entertainment and educational games development processes.

scholarly journals Securing Software Systems - A Survey

2020 ◽  
Author(s):  
Yong Weixiong ◽  
Kohei Dozono ◽  
Robin Lee ◽  
Alvin Kon Soon Seng ◽  
Fatima tuz Zahra
Keyword(s):  
Development Process ◽  
User Behavior ◽  
Development Stage ◽  
Security And Privacy ◽  
Software Systems ◽  
Privacy Concerns ◽  
Policy Awareness ◽  
Secure Software ◽  
Different Types ◽  
Development Processes

This paper aims to discuss the standard guidelines of the development process of secure software and will give justification on different types and ways of the software development processes. Additionally, a survey is conducted, the aim of which is to observe user behavior towards software system usage, user attitude in terms of privacy and policy awareness, security and privacy concerns. This is followed by discussion on how to secure software systems in development stage.

scholarly journals Addressing the “minimum parking” problem for on-demand mobility

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Dániel Kondor ◽  
Paolo Santi ◽  
Diem-Trinh Le ◽  
Xiaohu Zhang ◽  
Adam Millard-Ball ◽  
...  
Keyword(s):  
Urban Areas ◽  
Autonomous Driving ◽  
Data Driven ◽  
Policy Makers ◽  
On Demand ◽  
Parking Problem ◽  
Policy Goals ◽  
Vehicle Fleet ◽  
The City ◽  
Systematic Framework

Abstract Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility has started reducing parking needs in urban areas around the world. This trend is expected to grow significantly with the advent of autonomous driving, which might render on-demand mobility predominant. Recent studies have started looking at expected parking reductions with on-demand mobility, but a systematic framework is still lacking. In this paper, we apply a data-driven methodology based on shareability networks to address what we call the “minimum parking” problem: what is the minimum parking infrastructure needed in a city for given on-demand mobility needs? While solving the problem, we also identify a critical tradeoff between two public policy goals: less parking means increased vehicle travel from deadheading between trips. By applying our methodology to the city of Singapore we discover that parking infrastructure reduction of up to 86% is possible, but at the expense of a 24% increase in traffic measured as vehicle kilometers travelled (VKT). However, a more modest 57% reduction in parking is achievable with only a 1.3% increase in VKT. We find that the tradeoff between parking and traffic obeys an inverse exponential law which is invariant with the size of the vehicle fleet. Finally, we analyze parking requirements due to passenger pick-ups and show that increasing convenience produces a substantial increase in parking for passenger pickup/dropoff. The above findings can inform policy-makers, mobility operators, and society at large on the tradeoffs required in the transition towards pervasive on-demand mobility.

scholarly journals Where Is My Crop? Data-Driven Initiatives to Support Integrated Multi-Stakeholder Agricultural Decisions

2021 ◽  
Vol 5 ◽  
Author(s):  
Robert Andrade ◽  
Sergio Urioste ◽  
Tatiana Rivera ◽  
Benjamin Schiek ◽  
Fridah Nyakundi ◽  
...  
Keyword(s):  
Decision Making ◽  
Open Data ◽  
Lessons Learned ◽  
Data Driven ◽  
Economic Systems ◽  
Full Potential ◽  
Data Generation ◽  
Policy Makers ◽  
Advance Research ◽  
Multi Stakeholder

Globally, there has been an explosion of data generation in agriculture. With such a deluge of data available, it has become essential to create solutions that organize, analyze, and visualize it to gain actionable insights, which can guide farmers, scientists, or policy makers to take better decisions that lead to transformative actions for agriculture. There is a plethora of digital innovations in agriculture that implement big data techniques to harness solutions from large amounts of data, however, there is also a significant gap in access to these innovations among stakeholders of the value chains, with smallholder's farmers facing higher risks. Open data platforms have emerged as an important source of information for this group of producers but are still far from reaching their full potential. While the growing number of such initiatives has improved the availability and reach of data, it has also made the collection and processing of this information more difficult, widening the gap between those who can process and interpret this information and those who cannot. The Crop Observatories are presented in this article as an initiative that aims to harmonize large amounts of crop-specific data from various open access sources to build relevant indicators for decision making. Observatories are being developed for rice, cassava, beans, plantain and banana, and tropical forages, containing information on production, prices, policies, breeding, agronomy, and socioeconomic variables of interest. The Observatories are expected to become a lighthouse that attracts multi-stakeholders to avoid “not see the forest for the trees” and to advance research and strengthen crop economic systems. The process of developing the Observatories, as well as the methods for data collection, analysis, and display, is described. The main results obtained by the recently launched Rice Observatory (www.riceobservatory.org), and the about to be launched Cassava Observatory are presented, contextualizing their potential use and importance for multi-stakeholders of both crops. The article concludes with a list of lessons learned and next steps for the Observatories, which are also expected to guide the development of similar initiatives. Observatories, beyond presenting themselves as an alternative for improving data-driven decision making, can become platforms for collaboration on data issues and digital innovations within each sector.

Data driven update to industry Life-Saving Rules

2020 ◽  
Vol 60 (2) ◽  
pp. 403
Author(s):  
Mariana Carvalho ◽  
Kirsty Walker ◽  
Odunlami Adeogun ◽  
Melissa Mark ◽  
Olav Skår
Keyword(s):  
Best Practices ◽  
Performance Indicators ◽  
Human Performance ◽  
International Association ◽  
Lessons Learned ◽  
Data Driven ◽  
Subject Matter Experts ◽  
Life Saving ◽  
Incident Reports ◽  
Safety And Environment

The International Association of Oil & Gas Producers (IOGP) is a global forum in which member companies identify and share best practices to achieve improvements in many areas including upstream safety. The IOGP first published Life-Saving Rules in 2010, having based the choice of topics covered and actions recommended on an analysis of 1484 fatal incident reports and 1173 high potential event reports collected through IOGP’s annual Safety Performance Indicators. In 2017, IOGP launched an initiative called Project Safira with the aim of eliminating fatalities; one of the work streams within this project was to refresh, simplify and reduce the number of industry Life-Saving Rules to encourage industry standardisation. An industry team of subject matter experts, health, safety and environment (HSE) and operations professionals conducted a comprehensive analysis of the latest 10 years of fatality data and streamlined the original 18 rules down to nine, while retaining the level of applicability in fatality prevention and incorporating the latest thinking on human performance and lessons learned from member companies’ experiences in implementation of similar programs. The Life-Saving Rules are not intended to replace company HSE management systems but rather to complement existing organisational processes and procedures. The rules provide simple actions, in the form of ‘I statements’ which can provide a final barrier that individuals have control over, using their own actions to prevent fatalities. From 2008 to 2017, 376 workers lost their lives in incidents that may have been prevented by following one of the new nine IOGP Life-Saving Rules.

scholarly journals Generating Different Urban Land Configurations Based on Heterogeneous Decisions of Private Land Developers: An Agent-Based Approach in a Developing Country Context

2019 ◽  
Vol 8 (5) ◽  
pp. 229 ◽  
Author(s):  
Agung Wahyudi ◽  
Yan Liu ◽  
Jonathan Corcoran
Keyword(s):  
Urban Development ◽  
Urban Growth ◽  
Development Process ◽  
Land Development ◽  
Sustainable Urban Development ◽  
City Centre ◽  
Private Land ◽  
Agent Based ◽  
Different Types ◽  
The City

In the provision of urban residential areas, private land developers play critical roles in nearly all stages of the land development process. Despite their important role little is known about how the spatial decisions of individual developers collectively influence urban growth. This paper employs an agent-based modelling approach to capture the spatial decisions of private land developers in shaping new urban forms. By drawing on microeconomic theory, the model simulates urban growth in the Jakarta Metropolitan Area, Indonesia, under different scenarios that reflect the decision behaviours of different types of developers. Results reveal that larger developers favour sites that are more proximate to the city centre whilst smaller developers prefer sites that are located further away from the city, that drive a more sprawled urban form. Our findings show that new urban areas are generated by different developers through different processes. The profit maximisation behaviour by developers with large capital reserves is more predictable than those with small capital funds. The imbalance in capital holdings by different types of developers interacts with one another to exert adverse impacts on the urban development process. Our study provides supporting evidence highlighting the need for urban policy to regulate urban expansion and achieve more sustainable urban development outcomes in a developing world context.

scholarly journals Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned

2020 ◽  
Vol 12 (15) ◽  
pp. 6001 ◽  
Author(s):  
Eduardo Graells-Garrido ◽  
Vanessa Peña-Araya ◽  
Loreto Bravo
Keyword(s):  
Transportation Planning ◽  
Data Science ◽  
Cost Effective ◽  
Lessons Learned ◽  
Data Driven ◽  
Mobile Phone Data ◽  
Data Set ◽  
Policy Makers ◽  
Massive Data Set ◽  
Planning Methodology

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and cost-effective solution to a problem, its adoption by relevant stakeholders is not guaranteed due to adoption barriers such as lack of interpretability and interoperability. In this context, this paper proposes a methodology toward bridging two disciplines, data science and transportation, to identify, understand, and solve transportation planning problems with data-driven solutions that are suitable for adoption by urban planners and policy makers. The methodology is defined by four steps where people from both disciplines go from algorithm and model definition to the development of a potentially adoptable solution with evaluated outputs. We describe how this methodology was applied to define a model to infer commuting trips with mode of transportation from mobile phone data, and we report the lessons learned during the process.

scholarly journals Experiential Assessment of Urban Open Spaces in Doha

2013 ◽  
Vol 38 (4) ◽  
pp. 47-57 ◽  
Author(s):  
Ashraf M. Salama ◽  
Fatma Khalfani ◽  
Ahood Al-Maimani
Keyword(s):  
Development Process ◽  
Fast Track ◽  
Urban Spaces ◽  
Systematic Observation ◽  
Open Spaces ◽  
Mapping Procedure ◽  
Different Types ◽  
Shading Devices ◽  
Effective Use ◽  
The City

The current fast track urban development process is an important characteristic of the city of Doha. No exploration or examination of its urban spaces, however, has been done before. This paper offers an experiential assessment of three key urban open spaces by examining their spatial and physical characteristics while implementing direct systematic observation and behavioural mapping procedure. Assessment results reveal important outcomes that include absence of physical aspects amenable for effective use while offering a pleasant experience for visitors. The findings contribute to an in-depth understanding of the qualities of the three spaces and the resulting use, activities, and behaviour representative of the inhabitants' spatial experience in those spaces. While the overall experience of users appear to be satisfactory, the results convey that there is an absence of landscape features and a dearth of green spaces and appropriate outdoor furniture, absence of adequate shaded areas and shading devices and a lack of children's facilities or specially designated areas for children. Addressing the lack of features that enhance people's activities and use of these spaces would contribute to making the spaces more conducive for use by different types of users and at different days and times.

scholarly journals CHALLENGES IN DATA-DRIVEN POLICYMAKING: USING SMART CITY DATA TO SUPPORT LOCAL RETAIL POLICIES

2020 ◽  
Vol VI-4/W2-2020 ◽  
pp. 55-61
Author(s):  
R. D’Hauwers ◽  
K. Borghys ◽  
J. T. A. Vannieuwenhuyze ◽  
N. Walravens ◽  
B. Lievens
Keyword(s):  
Policy Making ◽  
Smart Cities ◽  
Evaluation Research ◽  
Data Driven ◽  
Evidence Based ◽  
Retail Sector ◽  
Current State ◽  
Development Processes ◽  
Set Up ◽  
The Cost

Abstract. In Flanders (Belgium), there is a growing awareness among city administrations and governments to turn their cities into smart cities by transforming their policy decisions into evidence-based and data-driven policymaking. Nonetheless, many Flemish cities still face several challenges related to the integration of data-driven policy evaluation research at different stages of their policy making processes. For that reason, the ‘Smart Retail Dashboard’-project was set up, which aims to develop a dashboard for helping Flemish cities in transforming their retail policies into data-driven policies. This paper reports on the initial findings of this project. The most important finding is the varying degrees of maturity across cities regarding their smart retail policies. This is illustrated by the current state of data-driven policy making in the retail sector in Flanders. Subsequently we provide an overview of the current challenges reported by mature and less mature cities, which range from the cost and the usability of data to the analysis and interpretation of such data. We discuss how a Smart Retail Dashboard could provide answers to these challenges. This discussion helps city administrations to transform their policymaking processes into data-driven processes and dashboard developers to optimise their development processes.

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