scholarly journals Planning Modes for Major Transportation Infrastructure Projects (MTIPs): Comparing China and Germany

2018 ◽  
Vol 10 (10) ◽  
pp. 3401 ◽  
Author(s):  
Tianxiao Zhou ◽  
Rong Tan ◽  
Thomas Sedlin
Keyword(s):  
Planning Process ◽  
Evaluation Criteria ◽  
Analytical Framework ◽  
Transportation Infrastructure ◽  
Final Approval ◽  
Infrastructure Projects ◽  
Policy Makers ◽  
Advantages And Disadvantages ◽  
Ex Post ◽  
Governance Practices

Because major transportation infrastructure projects (MTIPs) have significant effects for a sustainable development, the planning modes used for these projects have been a popular topic among scholars and policy makers. However, detailed descriptions and comparisons of planning modes in different countries are still rare. Therefore, this paper first provides a simple analytical framework based on the elements of the planning goal, the planning process, the planning result and the evaluation criteria. Focusing on the hierarchic mode adopted in China, and the democratic participatory mode adopted in Germany, the governance practices used in MTIP planning are clearly shown. Furthermore, by using two airport cases, this paper compares the differences between China and Germany in the realms of preparation, review, coordination, final approval, and planning performance. The main conclusions are: (1) The analytical approach presented in this paper provides an appropriate standard for describing and comparing planning modes for MTIPs; (2) the planning modes in the two countries each have advantages and disadvantages, reflecting the trade-off between ex ante and ex post costs; (3) the comparison between China and Germany may be instructive for both of these countries and for other countries in terms of improving their planning performance in the future.

DTIP: A comparative analytical framework for chemogenomic drug-target interactions prediction

2019 ◽  
Vol 16 ◽  
Author(s):  
Faraneh Haddadi ◽  
Mohammad Reza Keyvanpour
Keyword(s):  
Drug Target ◽  
Evaluation Criteria ◽  
Analytical Framework ◽  
Prediction Methods ◽  
Qualitative Comparison ◽  
Target Interaction ◽  
Advantages And Disadvantages ◽  
General Evaluation ◽  
Review Articles ◽  
Experimental Process

Background: Prediction of drug-target interactions is an essential step in drug discovery. Given a drug-target interactions network, the objective of this task is to predict probable missing edges from known interactions. Computationally predicting drug-target interactions is an appropriate alternative for the time-consuming and the costly experimental process of drug-target interaction prediction. A large number of computational methods for solving this problem have been proposed in recent years. Objective: In recent years, several review articles have been published in the field of drug-target interactions prediction. Compared to other review articles, this paper includes a qualitative analysis in the form of a framework, drug-target interactions prediction (DTIP) framework. Method: The framework consists of three sections. Initially, a classification has been presented for drug-target interactions prediction methods based on the link prediction approaches used in these approaches. Secondly, general evaluation criteria have been introduced for analyzing approaches. Finally, a qualitative comparison is made between each approach in terms of their advantages and disadvantages. Results: By providing a new classification of the drug-target interactions prediction approaches and comparing them with the proposed evaluation criteria, this framework provides a convenient and efficient way to select and compare the methods. Also, using the framework, we can improve these techniques further. Conclusion: This paper provides a study to select, compare, and improve chemogenomic drug-target interactions prediction methods. To this aim, an analytical framework is presented.

scholarly journals Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2308 ◽  
Author(s):  
Can Bıyık
Keyword(s):  
Urban Areas ◽  
Planning Process ◽  
Smart Cities ◽  
Radical Change ◽  
Urban Transport ◽  
Transport Systems ◽  
Structured Interviews ◽  
Policy Makers ◽  
Comprehensive Survey ◽  
Future Vision

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

scholarly journals Going Beyond Panaceas: The Diversity of Land Observatory Forms in Africa

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 70 ◽  
Author(s):  
Quentin Grislain ◽  
Jeremy Bourgoin ◽  
Ward Anseeuw ◽  
Perrine Burnod ◽  
Eva Hershaw ◽  
...  
Keyword(s):  
Decision Making ◽  
Participant Observation ◽  
Video Conferencing ◽  
Analytical Framework ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Information Production ◽  
Dynamic Data ◽  
Ex Post ◽  
Ex Ante

In recent decades, mechanisms for observation and information production have proliferated in an attempt to meet the growing needs of stakeholders to access dynamic data for the purposes of informed decision-making. In the land sector, a growing number of land observatories are producing data and ensuring its transparency. We hypothesize that these structures are being developed in response to the need for information and knowledge, a need that is being driven by the scale and diversity of land issues. Based on the results of a study conducted on land observatories in Africa, this paper presents existing and past land observatories on the continent and proposes to assess their diversity through an analysis of core dimensions identified in the literature. The analytical framework was implemented through i) an analysis of existing literature on land observatories, ii) detailed assessments of land observatories based on semi-open interviews conducted via video conferencing, iii) fieldwork and visits to several observatories, and iv) participant observation through direct engagement and work at land observatories. We emphasize that the analytical framework presented here can be used as a tool by land observatories to undertake ex-post self-evaluations that take the observatory’s trajectory into account, or in the case of proposed new land observatories, to undertake ex-ante analyses and design the pathway towards the intended observatory.

Gender budgeting in public financial management: a literature review and research agenda

2021 ◽  
pp. 002085232110317
Author(s):  
Tobias Polzer ◽  
Isabella M Nolte ◽  
Johann Seiwald
Keyword(s):  
Literature Review ◽  
Financial Management ◽  
Secondary Data ◽  
Analytical Framework ◽  
Political Agenda ◽  
Future Research ◽  
Ex Post ◽  
Ex Ante ◽  
Need To Evaluate ◽  
Gender Budgeting

Gender budgeting calls for including a gender perspective at all levels of governmental budgetary processes. While the literature on gender budgeting is interdisciplinary and covers a wide geographical range, it remains fragmented. This study uses a literature review to examine the current discourse on gender budgeting and to elicit avenues for future research. Our review shows that studies focus either on emerging economies, such as India or South Africa, or on countries in Europe. Drawing on an analytical framework, we find that most studies scrutinize the ex ante stages of gender budgeting, whereas less is known about the concurrent and ex post stages. Moreover, because little is known about the outcome and impact of gender budgeting, governments do not know what instruments function best in different settings. Given their ex ante focus, most studies on gender budgeting often either remain descriptive or analyse secondary data. Despite scholars from different disciplines contributing to the field of gender budgeting, several ‘blank spots’ remain, particularly in public sector accounting. Points for practitioners While current gender budgeting projects tend to focus on the ex ante stage of gender budgeting, future practitioner attention needs to focus on the equally important concurrent and ex post stages, which have received less attention thus far. An increasing number of governments worldwide are implementing gender budgeting projects. Governments need to evaluate the outcome and impact of these projects in a timely fashion, aiming at reducing structural inequalities related to gender. Gender budgeting is willingly adopted in times of prosperity and stability or when the scope of projects appears manageable. To avoid negative impacts on their achievements, policy makers need to put gender budgeting on the political agenda and institutionalize it in times of instability and crisis.

scholarly journals Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects

2021 ◽  
Vol 13 (11) ◽  
pp. 6376
Author(s):  
Junseo Bae ◽  
Sang-Guk Yum ◽  
Ji-Myong Kim
Keyword(s):  
Machine Learning ◽  
Financial Management ◽  
Construction Projects ◽  
Transportation Infrastructure ◽  
Classification Model ◽  
Insurance Companies ◽  
Economic Damage ◽  
Infrastructure Projects ◽  
Machine Learning Classification ◽  
Financial Losses

Given the highly visible nature, transportation infrastructure construction projects are often exposed to numerous unexpected events, compared to other types of construction projects. Despite the importance of predicting financial losses caused by risk, it is still difficult to determine which risk factors are generally critical and when these risks tend to occur, without benchmarkable references. Most of existing methods are prediction-focused, project type-specific, while ignoring the timing aspect of risk. This study filled these knowledge gaps by developing a neural network-driven machine-learning classification model that can categorize causes of financial losses depending on insurance claim payout proportions and risk occurrence timing, drawing on 625 transportation infrastructure construction projects including bridges, roads, and tunnels. The developed network model showed acceptable classification accuracy of 74.1%, 69.4%, and 71.8% in training, cross-validation, and test sets, respectively. This study is the first of its kind by providing benchmarkable classification references of economic damage trends in transportation infrastructure projects. The proposed holistic approach will help construction practitioners consider the uncertainty of project management and the potential impact of natural hazards proactively, with the risk occurrence timing trends. This study will also assist insurance companies with developing sustainable financial management plans for transportation infrastructure projects.

scholarly journals Circular Economy Strategies in Eight Historic Port Cities: Criteria and Indicators Towards a Circular City Assessment Framework

2019 ◽  
Vol 11 (13) ◽  
pp. 3512 ◽  
Author(s):  
Antonia Gravagnuolo ◽  
Mariarosaria Angrisano ◽  
Luigi Fusco Girard
Keyword(s):  
Built Environment ◽  
Circular Economy ◽  
Evaluation Criteria ◽  
Sustainable Urban Development ◽  
City Region ◽  
Port Cities ◽  
Criteria And Indicators ◽  
Ex Post ◽  
Life Cycle Perspective ◽  
Circular Design

The circular city is emerging as new concept and form of practice in sustainable urban development. This is a response to the complex and pressing challenges of urbanization, as highlighted in the New Urban Agenda (NUA). The concept of a “circular city” or “circular city-region” derives from the circular economy model applied in the spatial territorial dimension. It can be associated with the concept of a “self-sustainable” regenerative city, as stated in paragraph n.71 of the NUA. This paper aims to develop an extensive form of “screening” of circular economy actions in emerging circular cities, focusing on eight European historic port cities self-defined as “circular”. The analysis is carried out as a review of circular economy actions in the selected cities, and specifically aims to identify the key areas of implementation in which the investments in the circular economy are more oriented, as well as to analyze the spatial implications of the reuse of buildings and sites, proposing a set of criteria and indicators for ex-ante and ex-post evaluations and monitoring of circular cities. Results show that the built environment (including cultural heritage), energy and mobility, waste management, water management, industrial production (including plastics, textiles, and industry 4.0 and circular design), agri-food, and citizens and communities can be adopted as strategic areas of implementation of the circular city model in historic cities, highlighting a lack of indicators in some sectors and identifying a possible framework for “closed” urban metabolism evaluation from a life-cycle perspective, focusing on evaluation criteria and indicators in the (historic) built environment.

The drivers of corporate governance disclosure: the case of Nifty 500 Index

2018 ◽  
Vol 60 (2) ◽  
pp. 681-700 ◽  
Author(s):  
Androniki Katarachia ◽  
Electra Pitoska ◽  
Grigoris Giannarakis ◽  
Elpida Poutoglidou
Keyword(s):  
Corporate Governance ◽  
Financial Leverage ◽  
Policy Makers ◽  
Content Type ◽  
Explanatory Variables ◽  
Size Number ◽  
Governance Practices ◽  
Board Director ◽  
First Time ◽  
Governance Disclosure

Purpose Based on agency theory, the purpose of this paper is to investigate the determinants on the dissemination level of corporate governance disclosure (CGD). Design/methodology/approach The sample of the study incorporates listed companies in Nifty 500 Index for the period 2009-2014. The Governance Disclosure Score calculated by Bloomberg is used as a proxy for the dissemination level of corporate governance information. In total, eight explanatory variables are uses, namely, board’s size, number of board meetings, CEO duality, presence of women on the board, company’s size, financial performance, Tobin’s Q ratio and financial leverage. Findings The results of study suggest a need for improvement in CGDs by Indian companies, as they fail to comply the majority of the proposed disclosure items. Furthermore, it is revealed that the number of board director, the value of company, the financial leverage and the presence of women affect negatively the dissemination level of corporate governance information. While, the size of company is the only determinant that positively affects the extent of CGD. Practical implications The results are valuable because they reveal the attributes that determines which companies needs less or extra monitoring by shareholders and investors regarding the applied corporate governance practices. In addition, the study can be valuable to policy makers responsible for the regulation of company’s accountability in relation to corporate governance practices. Originality/value The study extents previous studies by incorporating for the first time Bloomberg’s rating approach regarding the dissemination level of CGD in Indian context.

scholarly journals The Fragmentation of Global Governance Architectures: A Framework for Analysis

2009 ◽  
Vol 9 (4) ◽  
pp. 14-40 ◽  
Author(s):  
Frank Biermann ◽  
Philipp Pattberg ◽  
Harro van Asselt ◽  
Fariborz Zelli
Keyword(s):  
Global Governance ◽  
Empirical Studies ◽  
World Politics ◽  
Private Institutions ◽  
Public And Private ◽  
Policy Makers ◽  
Advantages And Disadvantages ◽  
Governance Challenges ◽  
Alternative Hypotheses ◽  
Governance Architecture

Most research on global governance has focused either on theoretical accounts of the overall phenomenon or on empirical studies of distinct institutions that serve to solve particular governance challenges. In this article we analyze instead “governance architectures,” defined as the overarching system of public and private institutions, principles, norms, regulations, decision-making procedures and organizations that are valid or active in a given issue area of world politics. We focus on one aspect that is turning into a major source of concern for scholars and policy-makers alike: the “fragmentation” of governance architectures in important policy domains. The article offers a typology of different degrees of fragmentation, which we describe as synergistic, cooperative, and conflictive fragmentation. We then systematically assess alternative hypotheses over the relative advantages and disadvantages of different degrees of fragmentation. We argue that moderate degrees of fragmentation may entail both significant costs and benefits, while higher degrees of fragmentation are likely to decrease the overall performance of a governance architecture. The article concludes with policy options on how high degrees of fragmentation could be reduced. Fragmentation is prevalent in particular in the current governance of climate change, which we have hence chosen as illustration for our discussion.

scholarly journals Sustainability and Depletion Accounting: A Case Study of Oil in Libya

2017 ◽  
Vol 7 (1) ◽  
pp. 34 ◽  
Author(s):  
Abdulrazag Mohamed Etelawi ◽  
Keith A. Blatner ◽  
Jill McCluskey
Keyword(s):  
Sustainable Development ◽  
Planning Process ◽  
National Income ◽  
Policy Makers ◽  
The Sustainable Development ◽  
Time Period ◽  
Oil Resources ◽  
Income Development ◽  
Per Capita ◽  
High Level

There is a strong need to study sustainability and depletion accounting of oil in the Libyan economy because oil production and export is the single largest source of national income in the country. This study covers the time period from 1990 to 2009. Throughout this period, the Libyan national economy used its oil and petroleum industries to increase national income. Development sustainability can be defined as investment divided by GDP. This measure provides an indication of the low level of sustainable development in Libya over the period of analysis, which is 0.38 on average. It is important that the Libyan government develop and implement plans and strategies for achieving sustainability and the maintenance of oil resources.Carbon dioxide emissions provide another indication of the presence or absence of sustainability. The ratio of carbon dioxide ranged from a minimum of 8.50 metric tons per capita in 1990 to 10.00 metric tons per capita in 2009 and average 9.07 metric tons per capita over the course of the study period. CO2 emissions were also much higher than other countries in the Middle East and North Africa. This suggests there was relatively little interest in the sustainable development of the Libyan economy during this period. The Environment Domestic Product (EDP) increased sharply from the beginning of the study at $24.23 billion in 1991 to $45.87 billion in 2009 in constant dollars. Again, one can infer that policy makers did not consider the depletion of oil resources and the environment in their planning process, or at least did not place a high level of concern on this issue.

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