23 research outputs found
Enhancing Efficiency in Railway Freight Logistics Using a Two-Stage Decision Support Technique with q-Rung Orthopair Fuzzy Sets
No full textEnhancing railway freight logistics efficiency is crucial for strengthening global supply chain performance, yet persistent challenges such as infrastructure limitations, operational inefficiencies, and fragmented intermodal integration hinder optimal performance. Despite its critical role in economic and environmental sustainability, limited research offers comprehensive, universally applicable solutions for addressing these issues. This study bridges this gap by introducing a novel multi-criteria decision-making (MCDM) framework that integrates inter-criteria correlation (CRITIC) and multi-objective optimization based on ratio analysis (MULTIMOORA) with Q-rung orthopair fuzzy sets (q-ROFSs) to handle complex and conflicting decision-making scenarios. These methods were selected for their complementary strengths. CRITIC effectively quantifies the importance of criteria by considering their interdependencies, MULTIMOORA offers robust multi-objective optimization capabilities, and q-ROFSs manage the inherent uncertainty and ambiguity of real-world logistics problems. Their integration provides a comprehensive framework capable of addressing both the complexity and uncertainty in railway freight logistics decision-making while offering actionable solutions to policymakers and industry leaders.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author
Modeling the effects of real time traffic information on travel behavior: A case study of Istanbul Technical University
No full textThis article adds to the literature on the investigation of choice behavior of travelers under the real-time traffic information acquired through some traffic applications such as GPS navigation devices for car, mobile traffic applications and radio traffic reports on traveler behavior on highways. Self-deviced survey of travelers was conducted for the civil engineering undergraduate – graduate students, academicians and supporting staff at Istanbul Technical University, Turkey in 2016. Multinomial logit mode choice model of the decision making for travel and commuter responses to traffic information were estimated separately in two different commute modes, including private cars and public transit. The attributes that influence travelers’ decision-making patterns were broadly categorized into three groups, which were socioeconomics, travel and technological characteristics. The analysis of the results indicated that travelers who obtained traffic information from some traffic applications were more likely to switch their route with respect to their different characteristics. Moreover, the travel pattern of the commuters regarding whether to change their choice of route or not varied with respect to their aforementioned characteristics as well as their selection of commute modes. The results of this research could also help to develop vehicular communication systems such as vehicle-to-infrastructure V2I communications
Evaluating the Influencing Factors on Adoption of Self-driving Vehicles by Using Interval-Valued Pythagorean Fuzzy AHP
No full textWill Conventional Public Transport Users Adopt Autonomous Public Transport? A Model Integrating UTAUT Model and Satisfaction–Loyalty Model
No full textAs an emerging technology for sustainable, safe, energy-efficient, and smooth traffic flow, autonomous public transport (APT) has been widely studied in recent years. However, the influence of conventional public transport (CPT) on behavioural intentions toward APT is largely overlooked. While APT is in its nascent phase, users’ choices may be shaped by their perceptions and attitudes toward CPT. Therefore, identifying these perceptions and examining their effect on behavioural intention is crucial. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT) is integrated with the satisfaction-loyalty model to analyze the key factors influencing behavioural intentions toward APT. To obtain more precise findings, this study examined public transport by type, including rubber-tired systems, urban rail, and bus rapid transit, rather than as a single mode, unlike many previous studies. A survey (n = 1271) was employed to validate the theoretical model among CPT users in Istanbul. The results indicate that loyalty to CPT significantly influences behavioural intention toward APT. Moreover, users of different CPT types have distinct priorities influencing their intention to use APT. While users of rubber-tired systems prioritize effort expectancy, social influence and facilitating conditions, users of urban rail systems consider social influence, trust and loyalty to CPT to be decisive factors. Furthermore, users of bus rapid transit systems consider performance expectancy, effort expectancy, trust, and loyalty to CPT as key factors influencing their behavioural intention. The findings are expected to enrich theoretical research on behavioural intention toward APT and guide future integration and transition between CPT and APT
Integrated Production and Transportation Scheduling Problem With Multiple Plants, Multiple Vehicles and Perishable Products
No full textThe integrated production and transportation scheduling problem is one of the interesting topics in the literature. This paper addresses Integrated Production and Transportation Scheduling Problems with Multiple Plants, Multiple Vehicles, and Perishable Products (PTSP-MP-MV). To the best of our knowledge, this problem has not been studied in the literature. In this problem, each plant has a different capacity and a different production rate. There is a single machine and a limited number of homogeneous vehicles in each plant. Each vehicle can be used more than once because of the vehicle capacity and planning horizon restrictions. Only one type of product is produced, and this product has a limited lifespan. The objective of the problem is to minimize the total cost including production, distribution, and vehicle costs. We propose a mixed integer programming (MIP) formulation for the problem and strengthen it with several valid inequalities to improve lower bounds. The performance of the formulation is calculated using a newly generated set of test instances. Computational results show that small-sized instances with 5 and 10 customers can be solved optimally in less than 90 s. Satisfactory results are obtained for the test instances up to 20 customers whose optimality gap values are calculated as 0.54% nearly 1 h. It is also shown that the valid inequalities are improved lower bounds about 3%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Acknowledgements. This study is derived from the author Gozde CAN ATASA-GUN’s PhD thesis entitled “The Coordinated Production and Transportation Scheduling Problem with Multiple Plants and Multiple Vehicles” (Supervisor: Prof. Dr. Ismail KARAOGLAN) which is supported by Konya Technical University Coordinatorship of Scientific Research Projects with the project number of 18101021 and has not been published elsewhere.Konya Teknik Üniversitesi, KTÜN: 1810102
Systematic Integration Of Urban Farming Into Urban Metabolisms: Waste As A Resource For Urban Food Production
No full textAs the global population rise, climate conditions get more and more unpredictable, natural resources deplete; cities need to take action in order to sustain healthy living conditions as well as to ensure food safety. Currently, cities are solely dependent on external sources and suburban areas for natural resources and food as well as waste management. This linear metabolism results in cities consuming 60-80% of natural resources and producing 50% of waste globally. (Tsui et al., 2021) This problem can be overcome by introducing urban farming into cities by utilising waste and underused space as a resource for urban food production. Waste can be circulated in the city in order to generate a network of waste producing functions and farms. There are urban farming systems which can digest waste and produce supplements for urban food production. However, the quest of choosing an urban farming system based on existing vacant spaces and waste flows is a complicated task. The complexity is a result of variables in the equation which may effect decision making such as different systems, waste types, vacant space characteristics as well as the size of spaces and the quantity of available waste. Moreover, in sites consisting of numerous vacant spaces and waste sources decision making is even more complex and laborious. If human designers were to perform this task then they would need to iterate countless times for each vacant space, each waste source close to it and each potential urban farming systems. However, when it comes iterating and repeating the same steps, computers are explicitly faster, time-efficient and error free. Therefore a decision making tool which can assist designers to choose urban farming systems based on existing conditions can be a practical resource. This paper investigates how to integrate urban farming into cities by utilising under-used spaces and existing waste sources via using a decision making tool. The design rules and the methodology are formed based on literature review regarding different farming systems, varying waste flows and computational approaches. A prototype of the tool is generated and tested on 2 case studies in order to showcase the potential of such an approach combining food production with waste management. Architecture, Urbanism and Building Sciences | Building Technology | Sustainable Desig
My Birth Story is Like a Dream: A Childbirth Educator's Childbirth
No full textFear of childbirth is universal. Because of the stories of bad experiences passed down for years, many women fear childbirth. As a result, many women do not believe in the power of their own bodies and often hand over control of their bodies to health-care professionals, resulting in unhappy childbirth experiences because of unnecessary intervention during labor and birth. As a pregnancy trainer who prepares pregnant women for childbirth, the author wrote her personal childbirth story with an autoethnographic narrative method. Her aim is to help motivate pregnant women preparing for childbirth, health-care professionals preparing those pregnant women, and birthing staff
Author Correction: Innovative boxing training program outperforms the traditional scapular stabilization training program in post-stroke patients
No full textIslamic Doctrines and Political Liberalism: Muslim's Sincere Support
No full textAbout this book:
This book delves into the compatibility of Islam with liberal values, engaging in a comparative analysis of Islamic moral language and John Rawls's liberal democratic ideas. Rawls, a prominent modern liberal political philosopher, posits that diverse moral and religious doctrines in a pluralistic society should align with the principles of a liberal democratic political culture. The author shares Rawls's assumptions and maps out a spectrum of Islamic orthodoxy positions to assess the plausibility of reconciling Islamic doctrines with a liberal political order. While acknowledging that such compatibility is not the mainstream outlook, the book argues that it's feasible through reasonable interpretations of Islamic sources.
The central question addressed is the realism of observant Muslims endorsing a liberal democratic state from within their doctrinal tradition. By examining a range of Islamic orthodoxy positions, the book demonstrates that Muslims can theoretically find Islamic reasons, rooted in acceptable interpretations of divine sources, to justify their commitment to a liberal state. Furthermore, it provides moral reasons and strategies for the liberal state to address incompatible Islamic doctrines, ensuring Muslims can maintain religious practices without an Islamic political authority. This theoretical framework offers insights for future empirical and theoretical studies on Muslims navigating pluralistic liberal societies, making it a vital contribution to the discourse on Islam and liberalism
Bibliometric analysis of 50 most cited articles on odontomas
No full textObjective: To identify the citation features and review articles on odontomas using bibliometric analysis. Material and Methods: A list of studies about odontoma was obtained by searching using the Scopus database. Abstracts or full texts were read and evaluated. After then, 50 most cited articles were achieved. Studies were categorized as citation numbers, citation density, journal name, article type, the affiliation of the first author and publication year. Descriptive statistics were used to analyze the results. Results: The most frequently cited article received 358 citations, while the least frequently cited article received 42 with a mean of 94.3 citations per article. The mean citation density was 5.13. The study with the highest citation density (12.31) was published in 2006. The highest citation number was found in the 2000s following the 1990s. The 50 most cited articles were published from 1971 to 2011, with 84% (42 of 50) published after 1990. USA (n = 9) and Brazil (n = 6) were the two most contributing countries. According to article type, there were eight (16%) review articles. Conclusion: The USA found to have a strong influence on research about odontoma, followed by Brazil. All researches were reported in English, and most of them were published in good quality journals
