Sustainable and Smart Urban Transport Systems: Sensing and Computing Technologies, Intelligent Vehicular Networks, and Data-driven Automated Decision-Making

2020 ◽  
Vol 12 (2) ◽  
pp. 43
Keyword(s):  
Decision Making ◽  
Vehicular Networks ◽  
Urban Transport ◽  
Data Driven ◽  
Transport Systems ◽  
Computing Technologies ◽  
Automated Decision Making

scholarly journals Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

2020 ◽  
Vol 12 (15) ◽  
pp. 6067 ◽  
Author(s):  
Jonas Damidavičius ◽  
Marija Burinskienė ◽  
Jurgita Antuchevičienė
Keyword(s):  
Decision Making ◽  
Positive Impact ◽  
Evaluation Model ◽  
Multicriteria Decision Making ◽  
Urban Transport ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Sustainable Transport ◽  
Sustainable Mobility ◽  
Multicriteria Decision

An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.

scholarly journals Automated Decision-Making and Environmental Impact Assessments: Decisions, Data Analysis and Predictions

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zoe Nay ◽  
Anna Huggins ◽  
Felicity Deane
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Environmental Impact ◽  
Environmental Law ◽  
Critical Role ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Environmental Impact Assessments ◽  
Decision Making Processes ◽  
Automated Decision Making

This article critically examines the opportunities and challenges that automated decision-making (ADM) poses for environmental impact assessments (EIAs) as a crucial aspect of environmental law. It argues that while fully or partially automating discretionary EIA decisions is legally and technically problematic, there is significant potential for data-driven decision-making tools to provide superior analysis and predictions to better inform EIA processes. Discretionary decision-making is desirable for EIA decisions given the inherent complexity associated with environmental regulation and the prediction of future impacts. This article demonstrates that current ADM tools cannot adequately replicate human discretionary processes for EIAs—even if there is human oversight and review of automated outputs. Instead of fully or partially automating EIA decisions, data-driven decision-making can be more appropriately deployed to enhance data analysis and predictions to optimise EIA decision-making processes. This latter type of ADM can augment decision-making processes without displacing the critical role of human discretion in weighing the complex environmental, social and economic considerations inherent in EIA determinations.

A Comparative Review of the Making of Urban Transport Policies in Metropolitan Areas in Southeast Asia

2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Matthias Mueth ◽  
Anil Minhans
Keyword(s):  
Decision Making ◽  
Common Good ◽  
Metropolitan Areas ◽  
Urban Transport ◽  
Transport Systems ◽  
Technical Solution ◽  
Political Decision ◽  
Comparative Review ◽  
Policy Field ◽  
Political Decision Making

The urban transport systems are primarily the result of political decision-making processes, and only secondarily a matter of technical necessity or technical possibility, because every individual or group does have vested interests in transport policies, which are often conflicting if not inherently incompatible. What constitutes the so-called “common good” is not a technical question but ultimately a political one – while its implementation requires the suitable technical solution. This “comparative review of the making of urban transport policies in metropolitan areas of Singapore and Bangkok” analyses (1) the “input” of different actors into the political decision-making process, (2) how this input is processed by the various actors in government and administration, including the interaction of all participatory actors, and (3) finally how the results of these processes influence the form of the actual transport systems. The results are based on the research of the different polities influencing transport-related decisions in cities of Singapore and Bangkok. The process of decision-making is analysed using seven illustrative examples from these cities and the assessment of the transport systems is made according to pre-defined quantitative and qualitative data. This adopted approach is along the lines of classical policy-field analysis: In this study it examines the policy field of urban transport and draws conclusions, which are specific to the chosen cities and general to the policy field.

Decision-Making Framework to Allocate Real-Time Passenger Information Signs at Bus Stops: Model Application in Athens, Greece

2017 ◽  
Vol 2647 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Styliani Papagianni ◽  
Christina Iliopoulou ◽  
Konstantinos Kepaptsoglou ◽  
Antony Stathopoulos
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Public Transport ◽  
Ad Hoc ◽  
Programming Model ◽  
Urban Transport ◽  
Transport Systems ◽  
Modeling Framework ◽  
Bus Stops ◽  
Bus Networks

The use of intelligent transport systems for the provision of real-time passenger information is an important incentive in efforts to strengthen the role of public transport and improve livability in large cities. Electronic signs installed at bus stops to disseminate information on bus arrivals are an important component of these systems with a significant capital cost. Nonetheless, to the best of the authors’ knowledge, there is no systematic approach for the selection of location sites for deployment of dynamic message signs (DMS). Public transport authorities often follow ad hoc procedures that are based on various location criteria—namely, passenger boardings, availability of power, and number of routes served at bus stops—to derive a set of candidate location sites. This was the case with the methodology implemented by the Athens Urban Transport Organization in Athens, Greece. With data from Athens, this paper proposes a modeling framework for the decision-making process regarding DMS locations in bus networks. The framework is formulated as a linear programming model, and the results show that the proposed model constitutes a systematic and transferable approach to tackle the problem at hand.

Data-driven Democracy? Automated Decision-making, Difference and Preferences

2020 ◽  
Author(s):  
Jesus Benitez ◽  
Margarita Gomez-Reino ◽  
Alberto Suarez
Keyword(s):  
Decision Making ◽  
Data Driven ◽  
Automated Decision Making
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