Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Munjal, Rashmi; Liu, William; Li, Xue Jun; Gutiérrez, Jairo; Chong, J. Michael

doi:10.3390/fi14020042

Cited by 10 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [26], the challenge of energy-efficient network selection in wired, wireless, and public transport networks is formulated as a decision-making problem. The authors propose a MADM strategy based on users' requirements and different services (e.g., QoS, bandwidth, delay, data volume, and cost, etc.).…”

Section: Normalization Technique Benefit Expensementioning

confidence: 99%

Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis

et al. 2022

View full text Add to dashboard Cite

Satellite positioning lies within the very core of numerous Intelligent Transportation Systems (ITS) and Future Internet applications. With the emergence of connected vehicles, the performance requirements of Global Navigation Satellite Systems (GNSS) are constantly pushed to their limits. To this end, cooperative positioning (CP) solutions have attracted attention in order to enhance the accuracy and reliability of low-cost GNSS receivers, especially in complex propagation environments. In this paper, the problem of efficient and robust CP employing low-cost GNSS receivers is investigated over critical ITS scenarios. By adopting a Cooperative-Differential GNSS (C-DGNSS) framework, the target’s vehicle receiver can obtain Position–Velocity–Time (PVT) corrections from a neighboring vehicle and update its own position in real-time. A ranking module based on multi-attribute decision-making (MADM) algorithms is proposed for the neighboring vehicle rating and optimal selection. The considered MADM techniques are simulated with various weightings, normalization techniques, and criteria associated with positioning accuracy and reliability. The obtained criteria values are experimental GNSS measurements from several low-cost receivers. A comparative and sensitivity analysis are provided by evaluating the MADM algorithms in terms of ranking performance and robustness. The positioning data time series and the numerical results are then presented, and comments are made. Scoring-based and distance-based MADM methods perform better, while L1 RMS, HDOP, and Hz std are the most critical criteria. The multi-purpose applicability of the proposed scheme, not only for land vehicles, is also discussed.

show abstract

Section: Normalization Technique Benefit Expensementioning

confidence: 99%

Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Another study on the transportation demand management problem was conducted based on the FU-COM by Pamucar et al (2020). The AHP method was also used as a single approach in evaluation of urban and public transportation systems concerning different aspects like quality, energy, economic and so on (Alkharabsheh et al 2021;Rivero Gutiérrez et al 2021;Munjal et al 2022, Santos, Lima 2021.…”

Section: Single Approachesmentioning

confidence: 99%

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

et al. 2022

View full text Add to dashboard Cite

Studies related to transportation planning and development have been in the center of activities of many researchers in the past decades. Road congestions issues, economic problems, health problems and environmental problems are some examples of complex problems that can be caused by urban and public transportation in big cities. Evaluating urban and public transportation systems could help to reach effective solutions to overcome these issues. This article presents a short bibliographic review of some recent studies on Multi-Criteria Decision-Making (MCDM) approaches for evaluating urban and public transportation systems. To this aim, Scopus was chosen as the database for making a search on journal articles. Scopus is trusted by major institutions in the world, and all journals covered in this database are inspected for sufficiently high quality each year. The search was made on the journal articles from 2017 to 2022 (July). The analyses presented in this study show that the Analytic Hierarchy Process (AHP) method is the most used method, which has been applied to different studies in the field of urban and public transportation systems based on MCDM approaches. According to the analysis of the number of articles, Turkey is ranked 1st among different countries, and “Budapest University of Technology and Economics” (Hungary) is 1st in the ranking of institutions. Moreover, most of the articles have been published within the “social sciences” subject area. The recent trend in different studies on urban and public transportation systems shows the importance of using MCDM approaches in this field. Moreover, noticeable employment of fuzzy sets in several studies is a point that can shows the significant role of uncertainty in dealing with this type of problems.

show abstract

“…As a consequence, the literature on the subject is currently dominated by research and publications focused on the advantages and usefulness of Smart Cities. The authors also offer many modern technological solutions focused on the intensive development of smart urban infrastructure [10][11][12][13][14][15]. In addition, in the scientific and practical spheres, there are more and more approaches and methods to assess smart urban structures, including their maturity [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

The Exclusiveness of Smart Cities—Myth or Reality? Comparative Analysis of Selected Economic and Demographic Conditions of Polish Cities

Jonek-Kowalska

2023

Smart Cities

View full text Add to dashboard Cite

The Smart City concept is perceived as a method of dynamic development of cities and an opportunity to improve the quality of life of the urban community. Nevertheless, it is not without its disadvantages, among which the possibility of exclusion (economic, social or digital) is most often mentioned. However, the literature on the subject lacks empirical research verifying this allegation. For this reason, the purpose of this article is to conduct a comparative analysis of economic and social conditions in 17 Polish cities, 3 of which are recognized as Smart Cities in international rankings. By analyzing the economic and demographic conditions in the long term, an attempt is made to answer the question of whether Smart Cities offer better living conditions, and if so, how big is the imbalance and the risk of excluding other cities? In the course of the research, the following are taken into account: tax revenue per capita, unemployment rate, population density and level, as well as the share of working and post-working age population. These parameters are analyzed using descriptive statistics and systematized using multi-criteria analysis. The collective comparison of all the surveyed provincial cities shows that the best economic and demographic conditions apply to cities recognized as smart. The average annual rate of changes in tax revenues in the surveyed cities ranges from 5% to almost 8% and is the highest in Warsaw, Kraków and Wrocław. These cities are also characterized by the lowest unemployment rate, ranging from 3% to 4% (in other cities, from 4% to almost 7%). The mentioned cities and Gdańsk are the only ones with a positive rate of population change (from 0.62% to 1.08%). Other studied cities are systematically depopulating (annual rate of change from −0.37% to −7.09%). In Warsaw, Wrocław and Kraków, the share of the working-age population is also decreasing the slowest (the annual rate of change below −1.0%). The cities recognized as smart (Warsaw, Kraków and Wrocław) are matched by Gdańsk and Poznań, which can be considered strong contenders for being smart. Unfortunately, the remaining cities are far from the leaders of the ranking, which may expose them to economic and social exclusion, all the more so that the parameters examined in them are characterized by negative tendencies. It can, therefore, be concluded that striving to be smart can be a cause of increasing the economic and demographic distance. Therefore, it may increase unbalance and generate exclusion in the analyzed areas.

show abstract

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

Cited by 10 publications

References 35 publications

Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis

Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis

McDm Approaches for Evaluating Urban and Public Transportation Systems: A Short Review of Recent Studies

The Exclusiveness of Smart Cities—Myth or Reality? Comparative Analysis of Selected Economic and Demographic Conditions of Polish Cities

Contact Info

Product

Resources

About