92 research outputs found

    RURAL DEMAND RESPONSIVE TRANSPORT An overview of the Italian scenario and analysis of Antola-Tigullio inner area case study

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    Over time, a car-centred mobility system has contributed to the negative externalities that can be observed today in both urban and rural areas: congestion of transport infrastructures, air and noise pollution, reduced urban space for pedestrians and cyclists, lack of parks, etc. All this has led policy makers to find solutions to shift citizens from cars to public transport and other sustainable modes (walking and cycling). While in urban areas traditional public transport is often an already widespread and effective service that only needs to be transformed to build user confidence, in rural and mountainous areas, where low transport demand and long distances make it economically unviable, it needs to be integrated or completely replaced by innovative forms of mobility. One of the most valid solutions in this regard is on-demand transport technology, which allows transport providers to reduce their costs by rationalizing the supply (e.g. higher vehicles’ load factor) and population of these areas to improve their accessibility to public transport and abandon the use of the car. Over time, research has been done extensively in academic literature on the application of this technology in urban areas, but little has been undertaken in rural contexts: this PhD thesis aims to contribute to research in this field by studying the technical characteristics of these services in the Italian scenario, in order to provide decision-makers with useful information to counter the phenomena of depopulation and economic and social isolation of these territories. First, this paper provides a comprehensive literature review aimed at understanding the strengths and weaknesses of the DRT service in general and in its application in rural areas: from the description of its historical development, the close relationship between the diffusion of this tool and the phases of technological progress emerges. The central chapters of this thesis deal with an in-depth analysis of all rural DRT cases in operation in Italy in the last decade (both temporary and permanent), carried out through a web search, an analysis of the Program Framework Agreements of the Italian regions and sector agencies’ websites, as well as with the planning of some DRT services in the inner area of Antola-Tigullio (Liguria Region): this last work, carried out after an analysis of the socio-demographic data and the travel behavior of the population, helped to identify the best routes, time slots and target user groups to experiment with the DRT service. After 5 months of experimentation, it was possible to carry out an ex-post analysis of the initial results thanks to the data provided by the local Public Transport Authority (PTA), commissioner of the study. The results of this PhD thesis, obtained from the study of the literature and the analysis both at national level and of a single case study, are multiple and provide useful indications to policy makers and transport providers for the implementation of DRT services in hard-to-reach areas with low transport demand, capable of truly satisfying the mobility needs of the inhabitants by favoring the use of public transport and slowing down the processes of depopulation and economic marginalization affecting these contexts

    DO TRANSPORTATION NETWORK COMPANIES AFFECT ROAD SAFETY OUTCOMES: A SPATIALLY DETAILED ANALYSIS IN SAN FRANCISCO

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    US traffic fatal deaths have steadily risen since 2010, with the past few years witnessing an unusual trend increase. To reverse such a dangerous trend, one must understand how and why road crashes occur and which factors are causing them. Emerging transportation technologies have shown the potential to improve mobility and safety. However, such technologies are not inherently beneficial and could worsen road safety if not effectively implemented. One such transportation technology that warrants investigation is the rise of ridesharing services, also called Transportation Network Companies (TNCs). The primary goal of the dissertation is to explore the statistical relationship between road safety outcomes and TNC service components like curbside pick-ups and drop-offs (PUDO) or through the TNC-involved vehicles miles traveled (VMT). It evaluates the relationship between TNC service components like PUDO and Tot TNC VMT with four main types of road crash frequency: the total number of road crashes, fatal and severe injury crashes, crashes involving pedestrians and bicyclists, and crashes involving drink-driving using San Francisco (SF) county data. A fixed-effect Poisson Regression Model with a robust covariance matrix compares San Francisco (SF) county\u27s 2010 safety outcomes when TNCs were negligible to safety outcomes for the exact locations in 2016 for which spatially detailed TNC data is available. Dependent variables like Total Crashes, Fatal and Injury Crashes, Pedestrian and Bicyclist Crashes, Alcohol-involving (DUI) Crashes, and Property Damage Only (PDO) Crashes are evaluated using the model, controlling for vehicle speed, Total VMT, and TNC service components, namely TNC VMT and PUDO. We apply that model to 2010 and 2016 scenarios and counterfactual scenarios that estimate what would have occurred in 2016 without specific aspects of TNC operations. The results show that TNCs indirectly increased total crashes by 4% due to higher exposure and 7% due to changes in vehicle speeds. The direct effect of TNCs on crashes offsets these increases, reducing crashes by 14%, but this effect depends upon the model specification and is insignificant in other specifications tested. The results for other types of crashes are similar in direction but lower in significance. Overall, the results suggest that TNCs are a minor factor in road safety outcomes, at least within the limits of what we can measure with the available data. This finding is broadly consistent with past research on the topic. These results interest engineers, planners, and policymakers seeking to improve road safety. Those aiming to reduce traffic crashes would be well-advised to avoid getting distracted by TNCs in one direction or another and instead focus on known solutions, including road design, vehicle technology, and reducing exposure through reducing vehicle miles traveled

    11th International Conference on Business, Technology and Innovation 2022

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    Welcome to IC – UBT 2022 UBT Annual International Conference is the 11th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent advancements in different research fields, and provide them with a unique forum to share their experiences. It is also the place to support the new academic staff for doing research and publish their work in international standard level. This conference consists of sub conferences in different fields like: Security Studies Sport, Health and Society Psychology Political Science Pharmaceutical and Natural Sciences Mechatronics, System Engineering and Robotics Medicine and Nursing Modern Music, Digital Production and Management Management, Business and Economics Language and Culture Law Journalism, Media and Communication Information Systems and Security Integrated Design Energy Efficiency Engineering Education and Development Dental Sciences Computer Science and Communication Engineering Civil Engineering, Infrastructure and Environment Architecture and Spatial Planning Agriculture, Food Science and Technology Art and Digital Media This conference is the major scientific event of the UBT. It is organizing annually and always in cooperation with the partner universities from the region and Europe. We have to thank all Authors, partners, sponsors and also the conference organizing team making this event a real international scientific event. Edmond Hajrizi, President of UBT UBT – Higher Education Institutio

    Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X

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    This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, ‪Gabrijela Popović‬‬‬‬‬, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.‬

    Flexible Public Transport - Analysis of User Requirements on Mobility-on-Demand Systems

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    Contemporary society faces the challenge of mitigating the negative effects of motorized individual transport, which includes greenhouse gas emissions, noise, accidents and traffic congestion. App-based mobility-on-demand systems (MODS) promise a transformation towards a more sustainable mobility by offering a flexible public transport as an alternative to private motorized transport. As new MODS flourish and spread quickly, it is important to understand how they affect individual travel patterns and transportation systems. The service concept of MODS is to a large extent very different from conventional scheduled transport. As an example, the adaptability of routes, times and sudden divergence from planned routes, to pick-up and drop-off passengers, are characteristics inherent of MODS that are in contrast to the service quality aspect of reliability of conventional public transport. Scientific literature gives insufficient information on the issue of how users perceive and assess these new services. From a scientific perspective, the novelty of MODS requires the adaption of established behavioural models and theories to study the flexibility of the system. The aim of this dissertation is to contribute to the understanding of the users’ requirements, as well as drivers and barriers for using MODS. This dissertation aims to fill the research gap that opens up with regard to users’ perception and assessment of MODS, especially their flexible service concept. This dissertation thereby aims to contribute to the development of theories based on empirical studies. This dissertation comprises four empirical studies to investigate the factors that affect the perception and assessment of MODS. In Study 1, a choice modelling approach based on a discrete choice experiment was used to identify which service characteristics affect travellers’ appraisal of MODS. Study 2 builds upon Study 1 by using the results of the preference modelling for imparting the service concept of MODS and the service characteristics to the users. For this purpose, the serious game B.u.S. was developed and used to improve players’ knowledge, attitude and willingness to use MODS. The effectiveness of the serious game to impart knowledge about the service concept of MODS and to raise awareness about the usefulness of the service was assessed in an evaluation study. Study 3 focused on the impact of a specific service characteristic, the ridesharing concept on travellers’ willingness to use MODS. The purpose of Study 3 was to examine the effects of a flexible travel time and a variable detour factor as the specific service characteristics of MODS on the willingness to share rides in autonomous MODS. Study 4 complemented the findings of Study 3 by a sociopsychological perspective on the ridesharing concept in autonomous MODS. In more detail, Study 4 investigated the effects of information provision about fellow travellers’ characteristics, such as name or gender, on individuals’ compensation demands for sharing rides. Altogether, the four independent, yet closely related studies of the dissertation shed light on the user’s perception of MODS by using and developing theories and models of behavioural science based on flexible MODS. The results of each of the four studies will be analysed jointly to understand the potential user requirements on MODS and thereby expand the state of research. Looking at the results of each study separately, Study 1 revealed the importance of the six service attributes of travelling time, walking distance, information provision, time of booking, shift of departure time, and fare on the respondents’ appraisal of the service concept. The calculation of the willingness to pay gave an indication of the respondents’ wish for an improvement in the quality of the service offered, for example a shorter walking distance to the pick-up point. The evaluation study of the serious game in Study 2 found clear indications of beneficial effects of the serious game on individuals’ conceptual comprehension and understanding of MODS. Study 3 verified and expanded the findings of Study 1 by showing that the willingness to share rides in autonomous MODS depends on specific characteristics of each trip (travel time and detour factor) as well as personal characteristics (age, gender and income). Study 4 supplemented the findings of Study 3 by revealing a beneficial effect of detailed information about fellow travellers on traveller’s willingness to share rides in autonomous MODS. Accordingly, full profile information involving a picture, the name and a rating of the fellow traveller was found to reduce the compensation demands for sharing rides. The overall goal of this dissertation is to start filling the gap in the academic literature concerning the perception and appraisal of MODS and users’ willingness to adopt them and thereby to complement behavioural theories. Based on the findings of the four studies, a research model to approach individual’s assessment of the flexibility of public transport systems is derived. This model adds to existing models such as the Theory of Planned Behaviour (Ajzen, 1991) and the Technology Acceptance Model (Davis, 1985) to include understanding of the flexibility dimension of MODS. Based on the findings of the four studies, implications for the user-centred research on flexible mobility are derived in the form of hypotheses that can guide further research

    The 7th Annual Conference on "Relooking at Development, Value for Money and Public Service Delivery"

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    The fire services are a salient contestation which are often overlooked by the Social Science scholars. The Department of Cooperative Governance has ultimately promulgated a White Paper on fire services in May 2020. This study therefore aims to review and examine the legislation with a purpose of traversing the intricacies entrenched within the fire landscape. The review and analysis of policies have the potential to analyse the realities and the misnomer which are a perfect avenue to create dialogue. The theoretical framework of manipulation and elitism are employed for attributing meaning towards the study perspectives for practicality and simplicity. The paper follows a systematic procedure of reviewing documents, and policies to elicit information as a methodology adopted for the study. Gaps identified in the White Paper are uncovered and fully discussed. The content was studied, contextualised, and synthesised intellectually to derive meaning on all the aspects. It is the contention of this paper to attribute meaning to policy improvement in the fire services with a consequential contribution to the world of science for sustainable development.University of South AfricaDevelopment Studie

    The Impact of Brand Experience on Customer Citizenship Behavior among Airlines’ Passengers: An Examination of the Mediating Roles of Brand Relationship Quality, Affective Commitment, and Brand Loyalty.

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    This study investigates the significance of brand experience in deciding customer citizenship behavior with the mediating roles of brand relationship quality, affective commitment, and brand loyalty for airline passengers of 20 international airline brands operating on international routes to and from Pakistan. The stimulus-organism-response model served as an overarching theory for the conceptual model. However, social exchange and brand relationship theories also helped explain the interaction among study constructs. This cross-sectional survey research followed the positivist research philosophy. This study used quota and purposive sampling techniques. Thereby, three major cities: Karachi, Lahore, and Islamabad, yielded 395 credible responses from international air travelers of Pakistani descent. PLS-SEM is used to evaluate structural model relationships between constructs. This study demonstrates the significance of the direct relationship between brand experience and customer citizenship behavior, with the multiple and serial mediation effects of brand relationship quality, affective commitment, and brand loyalty in the relationship between brand experience and customer citizenship behavior. The findings show that brand experience has a robust direct effect on customer citizenship behavior. Other significant direct effects include the impact of brand experience on brand loyalty and the effect of brand relationship quality on customer citizenship behavior. The significant mediating relationships include the mediating role of brand relationship quality between brand experience and brand loyalty, the mediation effect of brand loyalty between brand experience and customer citizenship behavior, and the mediating role of brand loyalty in the relationship between brand relationship quality and customer citizenship behavior. This study made a significant theoretical contribution to the larger body of knowledge by extending the S-O-R model and the brand relationship theory. This study will help brand managers implement campaigns to capture airline passengers’ experiences. It will help future studies understand the use of hierarchical component models in SEM and operationalize brand experience construct in the airline industry context

    A Data-driven Methodology Towards Mobility- and Traffic-related Big Spatiotemporal Data Frameworks

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    Human population is increasing at unprecedented rates, particularly in urban areas. This increase, along with the rise of a more economically empowered middle class, brings new and complex challenges to the mobility of people within urban areas. To tackle such challenges, transportation and mobility authorities and operators are trying to adopt innovative Big Data-driven Mobility- and Traffic-related solutions. Such solutions will help decision-making processes that aim to ease the load on an already overloaded transport infrastructure. The information collected from day-to-day mobility and traffic can help to mitigate some of such mobility challenges in urban areas. Road infrastructure and traffic management operators (RITMOs) face several limitations to effectively extract value from the exponentially growing volumes of mobility- and traffic-related Big Spatiotemporal Data (MobiTrafficBD) that are being acquired and gathered. Research about the topics of Big Data, Spatiotemporal Data and specially MobiTrafficBD is scattered, and existing literature does not offer a concrete, common methodological approach to setup, configure, deploy and use a complete Big Data-based framework to manage the lifecycle of mobility-related spatiotemporal data, mainly focused on geo-referenced time series (GRTS) and spatiotemporal events (ST Events), extract value from it and support decision-making processes of RITMOs. This doctoral thesis proposes a data-driven, prescriptive methodological approach towards the design, development and deployment of MobiTrafficBD Frameworks focused on GRTS and ST Events. Besides a thorough literature review on Spatiotemporal Data, Big Data and the merging of these two fields through MobiTraffiBD, the methodological approach comprises a set of general characteristics, technical requirements, logical components, data flows and technological infrastructure models, as well as guidelines and best practices that aim to guide researchers, practitioners and stakeholders, such as RITMOs, throughout the design, development and deployment phases of any MobiTrafficBD Framework. This work is intended to be a supporting methodological guide, based on widely used Reference Architectures and guidelines for Big Data, but enriched with inherent characteristics and concerns brought about by Big Spatiotemporal Data, such as in the case of GRTS and ST Events. The proposed methodology was evaluated and demonstrated in various real-world use cases that deployed MobiTrafficBD-based Data Management, Processing, Analytics and Visualisation methods, tools and technologies, under the umbrella of several research projects funded by the European Commission and the Portuguese Government.A população humana cresce a um ritmo sem precedentes, particularmente nas áreas urbanas. Este aumento, aliado ao robustecimento de uma classe média com maior poder económico, introduzem novos e complexos desafios na mobilidade de pessoas em áreas urbanas. Para abordar estes desafios, autoridades e operadores de transportes e mobilidade estão a adotar soluções inovadoras no domínio dos sistemas de Dados em Larga Escala nos domínios da Mobilidade e Tráfego. Estas soluções irão apoiar os processos de decisão com o intuito de libertar uma infraestrutura de estradas e transportes já sobrecarregada. A informação colecionada da mobilidade diária e da utilização da infraestrutura de estradas pode ajudar na mitigação de alguns dos desafios da mobilidade urbana. Os operadores de gestão de trânsito e de infraestruturas de estradas (em inglês, road infrastructure and traffic management operators — RITMOs) estão limitados no que toca a extrair valor de um sempre crescente volume de Dados Espaciotemporais em Larga Escala no domínio da Mobilidade e Tráfego (em inglês, Mobility- and Traffic-related Big Spatiotemporal Data —MobiTrafficBD) que estão a ser colecionados e recolhidos. Os trabalhos de investigação sobre os tópicos de Big Data, Dados Espaciotemporais e, especialmente, de MobiTrafficBD, estão dispersos, e a literatura existente não oferece uma metodologia comum e concreta para preparar, configurar, implementar e usar uma plataforma (framework) baseada em tecnologias Big Data para gerir o ciclo de vida de dados espaciotemporais em larga escala, com ênfase nas série temporais georreferenciadas (em inglês, geo-referenced time series — GRTS) e eventos espacio- temporais (em inglês, spatiotemporal events — ST Events), extrair valor destes dados e apoiar os RITMOs nos seus processos de decisão. Esta dissertação doutoral propõe uma metodologia prescritiva orientada a dados, para o design, desenvolvimento e implementação de plataformas de MobiTrafficBD, focadas em GRTS e ST Events. Além de uma revisão de literatura completa nas áreas de Dados Espaciotemporais, Big Data e na junção destas áreas através do conceito de MobiTrafficBD, a metodologia proposta contem um conjunto de características gerais, requisitos técnicos, componentes lógicos, fluxos de dados e modelos de infraestrutura tecnológica, bem como diretrizes e boas práticas para investigadores, profissionais e outras partes interessadas, como RITMOs, com o objetivo de guiá-los pelas fases de design, desenvolvimento e implementação de qualquer pla- taforma MobiTrafficBD. Este trabalho deve ser visto como um guia metodológico de suporte, baseado em Arqui- teturas de Referência e diretrizes amplamente utilizadas, mas enriquecido com as característi- cas e assuntos implícitos relacionados com Dados Espaciotemporais em Larga Escala, como no caso de GRTS e ST Events. A metodologia proposta foi avaliada e demonstrada em vários cenários reais no âmbito de projetos de investigação financiados pela Comissão Europeia e pelo Governo português, nos quais foram implementados métodos, ferramentas e tecnologias nas áreas de Gestão de Dados, Processamento de Dados e Ciência e Visualização de Dados em plataformas MobiTrafficB
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