Article
Economics
Eva Van Eenoo, Kobe Boussauw
Summary: This study examines car-dependent practices from a Social Practice perspective and explores interventions to reduce car dependence. The study finds that car-dependent practices are still prevalent in a city with alternative modes of transportation available. These practices can be classified into five groups and vary in their level of car dependence.
Article
Computer Science, Artificial Intelligence
Mengxia Liang, Shaocong Wu, Xiaolong Wang, Qingcai Chen
Summary: This article implements trend forecasting of stock time series based on candlestick patterns and sequence similarity, improving the stability and accuracy of the prediction method.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Md Ashraful Islam, Mahfuzur Rahman Rafi, Al-amin Azad, Jesan Ahammed Ovi
Summary: Data mining is the study of extracting useful information from massive amounts of data, with sequential pattern mining being a major branch. Weighted sequential pattern mining is more feasible in today's datasets due to items having different importance in real-life scenarios. This research introduces a new pruning technique and framework to generate a small number of candidate sequences faster without compromising completeness, significantly outperforming other existing approaches.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou
Summary: Current decision trees like C4.5 and CART have simple, accurate, and intuitive interpretation, making them widely used in various fields. However, they are limited in handling complex data like sequences. To address this, a two-step procedure is commonly adopted to convert sequential data into vector data and apply existing tree-based classifiers. Nevertheless, this approach heavily relies on feature generation, potentially missing crucial features for tree construction. To overcome these challenges, we propose a new tree-based sequence classification method that constructs a concise decision tree from the feature space composed of all subsequences in the training data. Experimental results on 14 real datasets demonstrate its superior performance compared to state-of-the-art sequence classification algorithms. The source codes for our method are available at: https://github.com/ZiyaoWu/SeqDT.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Computer Science, Information Systems
Chunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu
Summary: High-utility sequential pattern mining (HUSPM) has attracted significant research interest recently, with the main task of finding subsequences with high utility in a quantitative sequential database. The top-k HUSPM concept was introduced to address the challenge of specifying a minimum utility threshold. Existing strategies for top-k HUSPM require improvement in terms of efficiency and scalability.
INFORMATION SCIENCES
(2021)
Article
Transportation
Sina Selzer, Martin Lanzendorf
Summary: Recently, there has been a renewed interest in car-reduced neighborhoods and their residents' mobility. This study uses a biographically inspired practice-theoretical approach to investigate the factors influencing sustainable transport and to understand the potential and limitations of implementing car-reduced housing. Based on qualitative interviews with residents of two German car-reduced neighborhoods, the study identifies different compositions of materials, competences, and meanings of car-(in)dependent mobility practices. The findings indicate that both the external car-centric context and the incorporation of private car driving with everyday life negatively influence car independence, while the residential location and its materiality, as well as the personal-temporal and socio-cultural contexts, support car independence and low-carbon mobility.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Elisabeth M. C. Svennevik
Summary: Social practice theories are used to study how car-sharing providers shape car-sharing practices and their impact on the car-sharing industry. The study found that new car-sharing service companies are influencing car-sharing practices by offering multiple alternative ways of accessing cars. Car-sharing practices are shaped by the relationship between providers and performance, highlighting the critical role of providers in shaping various understandings of car-sharing.
Article
Computer Science, Artificial Intelligence
Xin Wang, Zhuo Lan, Yu-Ang He, Yang Wang, Zhi-Gui Liu, Wen-Bo Xie
Summary: This article introduces a cost-effective approach for frequent pattern mining on large graphs. The approach applies a level-wise strategy to incrementally detect frequent patterns and can terminate the mining process once the top-k patterns are discovered. It also utilizes a smart traverse strategy and compact data structures to compute the lower bound of support.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Economics
Pui Ting Wong, Henrike Rau
Summary: Time of Use (ToU) tariffs have been implemented to shift energy use away from peaks, but have often underperformed. This study examines the reasons behind this underperformance and argues that it is not due to individuals' uninformed decisions, but rather the complexities of social synchronization. The findings show that the timing and sequencing of peak activities for child caregivers in both the US and China are largely influenced by institutional and family rhythms. However, the differences in childcare cultures result in varying influences and leave caregivers with little room to adjust their peak activities to ToU tariffs, making it an inequitable financial burden on this group.
Article
Computer Science, Artificial Intelligence
Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen
Summary: The discovery of negative sequential patterns (NSPs) is crucial in data science, as it often provides more enlightening information than positive sequential patterns (PSPs). However, the task of discovering NSPs is more difficult and challenging due to computational complexity and a large search space. This paper proposes a novel algorithm called Negative Sequential Patterns with Individual Support (NSPIS) to solve this problem and achieve better efficiency.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Javier Rojo, Jose Garcia-Alonso, Javier Berrocal, Juan Hernandez, Juan Manuel Murillo, Carlos Canal
Summary: This study introduces federated process mining and its associated tool, SOWCompact, to address the challenges of analyzing large amounts of traces generated by many users. By utilizing federated process mining along with current process mining techniques, more compact processes can be obtained, enabling the analysis of social workflows.
INFORMATION SCIENCES
(2022)
Article
Business
Simon Moore, Sandy Bulmer, Jonathan Elms
Summary: This research uses practice-informed, ethnographic research to explore the social consequences and opportunities of consumers' interactions with AI digital humans in retail, especially in terms of customer experience and managerial implications.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2022)
Article
Computer Science, Artificial Intelligence
Andrea Tonon, Fabio Vandin
Summary: This paper investigates the problem of mining statistically significant paths in time series data generated by an unknown underlying network. The challenge lies in the fact that the underlying network is unknown, making it impossible to directly identify such paths. The researchers propose caSPiTa, an algorithm that considers a generative null model based on meaningful characteristics of the observed dataset to efficiently mine large sets of significant paths while ensuring guarantees on false positives.
KNOWLEDGE AND INFORMATION SYSTEMS
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Haipeng Jin, Wenjie Cai
Summary: This study examines how Chinese outbound tourists use smartphones during their shopping process in Australia, drawing upon social practice theory and the theory of affordances. It reveals that Chinese tourists use smartphones to improve shopping competences and regulate the meaning making of their shopping practices, utilizing actualized affordances such as looking for products based on stored images, accessing product information in Chinese, and communicating with others at home on shopping for them.
CURRENT ISSUES IN TOURISM
(2022)
Article
Computer Science, Information Systems
Xiaojie Zhang, Fuyin Lai, Guoting Chen, Wensheng Gan
Summary: This paper focuses on mining high-utility sequences in a more complicated environment with high efficiency. A new algorithm called FHUSN is introduced to mine high-utility sequences in situations with or without negative utility values. The FHUSN algorithm utilizes a new utility array to store data and applies new pruning strategies to reduce search space. Experimental results show that our method outperforms previous approaches.
INFORMATION SCIENCES
(2023)
Article
Economics
Giulio Mattioli, Joachim Scheiner, Christian Holz-Rau
Summary: International holiday travel was growing rapidly before COVID-19, with young adults experiencing cross-border holidays earlier and more frequently. Unique data from Dortmund, Germany reveals a significant increase in international holiday travel across three generations, and associations between the holiday practices of students and their parents.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Economics
Ian Philips, Jillian Anable, Tim Chatterton
Summary: Through spatial microsimulation, we estimate the maximum potential for reducing CO2 emissions in England by substituting private car travel with e-bikes. The highest CO2 saving capability per person is found in rural areas and the rural urban fringe. E-bikes offer more modest CO2 saving potential in major conurbations.
Editorial Material
Economics
Joachim Scheiner, Giulio Mattioli
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Environmental Studies
Jose Luis Ramirez-Mendiola, Giulio Mattioli, Jillian Anable, Jacopo Torriti
Summary: Decarbonisation plans rely on electrification, but there are concerns about the impact of private EV charging on residential demand patterns. This study analyzes commuting behavior and finds that arrival times significantly affect the scheduling of energy-related activities.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Transportation
Giulio Mattioli, Joachim Scheiner
Summary: The study finds that individuals with first-generation migration background tend to have lower car mileage but higher levels of air travel. Conversely, this effect is less pronounced or absent for more recent migrants and second- or third-generation migrants. Additionally, spatially dispersed social networks are positively associated with both air and car travel, and the relationship between migration background and air travel can be partly explained by social network dispersion.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Environmental Studies
Zia Wadud, Muhammad Adeel, Jillian Anable, Karen Lucas
Summary: This paper measures the role of 'excess' car travel in decarbonisation and analyzes the factors associated with excess car travel. The results show that gender, employment and socio-economic status, household income, car availability, residential location, and population density are closely related to excess car travel. Multiple car ownership, business travel, frequent international flights, and ownership of larger and diesel cars are positively associated with excess travel and emissions. Furthermore, a mileage rationing scheme targeting the top 20% users can significantly reduce emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Frederic Dobruszkes, Giulio Mattioli, Laurette Mathieu
Summary: Several countries have considered banning or taxing super short-haul flights, but a study shows that targeting shorter flights would do little to reduce aviation's impact on climate change. Flights shorter than 500 km account for a small percentage of fuel burnt, while longer flights have a much larger impact.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Green & Sustainable Science & Technology
Milena Buchs, Giulio Mattioli
Summary: Research shows that taxing air travel is distributionally neutral or progressive, with the most progressive option being a 'frequent air miles tax' based on both the number of flights and emissions. Some social groups, such as recent migrants, are relatively likely to be 'frequent flyers' even on lower incomes.
JOURNAL OF SUSTAINABLE TOURISM
(2022)
Editorial Material
Transportation
Giulio Mattioli, Frederic Dobruszkes, Joachim Scheiner, Zia Wadud
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Environmental Studies
Pinar Bilgin, Giulio Mattioli, Malcolm Morgan, Zia Wadud
Summary: This study examines the impacts of ridesourcing on vehicle ownership in Great Britain, and finds that the effects vary across different geographical areas. While there is no statistically significant change in vehicle numbers in metropolitan districts and urban areas, a reduction of 2.2% and 1.1% is observed in London and rural areas respectively. These findings contribute to future research and policy efforts on the broader impacts of ridesourcing, especially in terms of decarbonisation.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Environmental Studies
Giulio Mattioli, Milena Buchs, Joachim Scheiner
Summary: Energy research is increasingly focusing on inequalities in climate emissions, particularly in the transport sector. This paper highlights the diversity within the group of 'high emitters' for car and air travel, with a specific focus on individuals with 'dissonant' emission patterns. The study finds that these individuals account for up to 20% of the population and up to 30% of emissions, and their characteristics vary based on the mode of travel.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Environmental Sciences
Mari Martiskainen, Debbie Hopkins, Gerardo A. Torres Contreras, Kirsten E. H. Jenkins, Giulio Mattioli, Neil Simcock, Max Lacey-Barnacle
Summary: Experiences of poverty can have multiple impacts on everyday life, such as the simultaneous occurrence of energy poverty and transport poverty, resulting in difficult trade-offs between essential needs. These decisions can vary in space, time, and among household members, leading to significant differences within and between households. Special attention should be paid to vulnerable populations at risk of experiencing double energy vulnerability. This study provides empirical evidence on the lived experiences of double energy vulnerability in the UK, highlighting the interconnected themes of infrastructure, cost, choice, and missed opportunities. Further research, such as examining double energy vulnerability among refugees and migrants, is recommended. Additionally, the study of lived experiences can inform the development of Net Zero policies by considering the intersectionality of different forms of poverty.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2023)
Editorial Material
Transportation
Craig Morton, Giulio Mattioli
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2023)
Article
Environmental Studies
Katrin Grossmann, James J. T. Connolly, Malgorzata Dereniowska, Giulio Mattioli, Luca Nitschke, Nicola Thomas, Anais Varo
Summary: The article highlights the problems with sustainability agendas and the emerging cross-sectoral shift towards social-ecological justice. Through examining research in transport, energy, and urban greening fields, scholars critique sustainability agendas and advocate for social-ecological justice. The focus on tensions between ecological, economic, and social policy goals reveals how injustices and environmental degradation persist despite the sustainability framework.
ENVIRONMENT AND PLANNING E-NATURE AND SPACE
(2022)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)