Article
Transportation Science & Technology
Wenbin Yao, Maolei Zhang, Sheng Jin, Dongfang Ma
Summary: This study analyzed the behavior characteristics and commuting patterns of commuting vehicles using LPR data from Hangzhou, China. Various algorithms were used for analysis, and commuting rules were extracted. The results show that commuting vehicles exhibit stability during high frequency travel time periods on workdays, highlighting the importance of commuting vehicles for travel policy formulation and public transit network design.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Cristina Hidalgo-Gonzalez, M. Pilar Rodriguez-Fernandez, David Perez-Neira
Summary: This study conducted at the University of Leon analyzed University commuting behaviors, environmental implications, and barriers to implementing sustainable mobility. Differences were found in commuting habits based on work status, with men students more likely to use bicycles and motorcycles and women workers relying on cars. Main barriers identified were unsafe cycle paths, theft at university, bus fares, and frequency of service. Measures to minimize these barriers could lead to significant reductions in non-renewable cumulative energy demand.
Article
Environmental Studies
Yinhua Tao, Ana Petrovic, Maarten Van Ham, Xingxing Fu
Summary: Residential self-selection studies suggest that pre-existing travel attitudes have a stronger influence on travel behaviors than changes in residential built environment. Our study adds to this argument by considering family- and job-related life events as another source of self-selection and accounting for the reverse causality from built environment to travel attitudes. Using a two-wave sample of Dutch residents, we found that pre-existing preferences for car and public transport commuting influenced residential self-selection, and residents showed a decreased preference for active commuting after moving to a more suburban neighborhood. Life events such as childbirth and job changes also contributed to increased car use demand.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Eleonora Sottile, Giovanni Tuveri, Francesco Piras, Italo Meloni
Summary: University students' mobility, especially non-commuting tours, plays a significant role in travel demand. This study focuses on comparing commuting and non-commuting tours, analyzing non-commuting patterns, and identifying factors affecting tour generation among university students. Results show that non-commuting tours account for a considerable proportion of total tours, and there is no significant difference in tour characteristics between different areas.
Article
Economics
Sayna Firoozi Yeganeh, Navid Khademi, Hojatollah Farahani, Mohammad Ali Besharat
Summary: Women have different travel behavior compared to men, and this is particularly influenced by factors such as patriarchal culture and unique transportation systems in Iran. Previous studies have mainly focused on gender differences rather than identifying the underlying factors contributing to women's behavior. This qualitative study explores the factors and motivations affecting women's shared mobility choices, specifically shared taxis, in Iran.
Review
Transportation
Yinhua Tao, Ana Petrovi, Maarten van Ham
Summary: This article reviews longitudinal research on the relationship between commuting behaviors and subjective well-being and analyzes the inconsistencies in the results. By developing interdisciplinary theoretical concepts and conducting a critical review of empirical longitudinal evidence, the article provides directions for future research and emphasizes the importance of considering different processes of commuting behavior changes.
Article
Economics
Rong Fan, Xuegang (Jeff) Ban
Summary: This paper proposes and investigates the concept of a commuting service platform (CSP) that connects commuters and worksites through emerging mobility services. By analyzing the conditions for its two-sidedness, the paper explores the impact of price allocation on the participation and profit of CSPs. It also presents a modeling framework that considers the locations of homes and worksites. The findings of this paper have practical implications for building CSPs and developing CSP-based travel demand management strategies.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Computer Science, Information Systems
Gergo Pinter, Imre Felde
Summary: This study analyzed commuting tendencies in the Budapest Metropolitan Area using mobile network data as a case study and proposed an automated alternative approach. The findings showed a strong correlation between the commuting analysis based on mobile network data and census-based results, highlighting the potential of mobile network data as a powerful tool for analyzing commuting in a cost-effective and relatively accurate manner.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Engineering, Civil
Kun Gao, Minhua Shao, Kay W. Axhausen, Lijun Sun, Huizhao Tu, Yihong Wang
Summary: This paper empirically investigates the inertia effects of past behavior in commuting modal shift behavior, exploring influences on traveler's preferences regarding level-of-service variables, mode-specific inertia effects, and factors contributing to heterogeneity of inertia effects. Results show significant interactions of inertia terms with LOS variables, distinct inertia effects for different transport modes, and effects of personal characteristics and contexts on inertia effects magnitude. Incorporating interactions and mode-specific inertia effects can improve demand estimation in various contexts.
Article
Green & Sustainable Science & Technology
Xuesong Gao, Hui Wang, Lun Liu
Summary: The paper discusses the transformation of individual data-based mobility metrics to fit with grid-aggregate data, proposing fifteen candidate metrics measuring five indicators of mobility and selecting the most suitable one for each indicator. Future research on aggregate-level mobility data can refer to the analysis in this paper to help select suitable mobility metrics.
Article
Economics
Jueyu Wang, Nikhil Kaza, Noreen C. McDonald, Kshitiz Khanal
Summary: The COVID-19 pandemic has had a significant impact on human mobility, and this study finds differences in visit patterns to different types of destinations during the pandemic based on socio-economic status.
Article
Transportation
Tian Ye, Honggang Xu
Summary: Business travel as a form of work-related mobility has significant impacts on individuals in the global economy. Frequent business trips can lead to a range of physical, psychological, and social health impacts, with perceptions varying among respondents with different travel patterns and personal situations. Moreover, the study suggests a paradoxical fact that the health impairments from highly mobile lifestyles may accumulate and be irreversible.
TRAVEL BEHAVIOUR AND SOCIETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Yang Xu, Jiaying Xue, Sangwon Park, Yang Yue
Summary: The study introduces an analytical framework to gain insights into tourist mobility patterns by analyzing mobile phone trajectories of international travelers to three different cities in South Korea, utilizing nine mobility indicators to capture different facets of tourist travel behavior. The study further quantifies the behavioral heterogeneity of travelers across countries and regions, and examines spatial activity patterns of different traveler groups in each city.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Suoyi Tan, Shengjie Lai, Fan Fang, Ziqiang Cao, Bin Sai, Bing Song, Bitao Dai, Shuhui Guo, Chuchu Liu, Mengsi Cai, Tong Wang, Mengning Wang, Jiaxu Li, Saran Chen, Shuo Qin, Jessica R. Floyd, Zhidong Cao, Jing Tan, Xin Sun, Tao Zhou, Wei Zhang, Andrew J. Tatem, Petter Holme, Xiaohong Chen, Xin Lu
Summary: This study investigated the variation in commuting patterns among the Chinese population in 2020 using nationwide mobility data from 318 million mobile phone users in China. The findings revealed extreme fluctuations of population movements during the COVID-19 pandemic, providing important insights for future decision-making regarding public-health-emergency response, transportation planning, and regional economic development.
NATIONAL SCIENCE REVIEW
(2021)
Article
Environmental Studies
Yang Xu, Jingyan Li, Alexander Belyi, Sangwon Park
Summary: This article demonstrates the linkage of large-scale tourist mobility data with network science approaches to understand the interactions of tourism destinations. By analyzing a dataset capturing the movement patterns of foreign tourists to South Korea, the study quantifies network properties of tourism destinations and reveals differences in tourist behaviors across nationalities. The findings show a notable heterogeneity in destination attractiveness and the tendency of tourists from different countries to visit different places in South Korea, leading to the partitioning of the country into tourism regions connected by tourist flows. The implications for transportation development and regional tourism planning are discussed.
TOURISM MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Rahul Goel, Rajesh Sharma, Anto Aasa
Summary: Understanding segregation is crucial for a country's development, as it helps in formulating targeted policies. Using Call Data Records (CDR) from an Estonian telecom operator, this study explores social interactions to explain gender segregation. Findings show males have tighter social links and the working-age population exhibits more segregation. Estonian-speaking individuals are more likely to interact with others of the same language and gender.
Article
Meteorology & Atmospheric Sciences
Jaak Jaagus, Anto Aasa, Svetlana Aniskevich, Boris Boincean, Roxana Bojariu, Agrita Briede, Irina Danilovich, Fernando Dominguez Castro, Alexandru Dumitrescu, Martin Labuda, Livia Labudova, Krista Lohmus, Viktar Melnik, Kiira Moisja, Rita Pongracz, Vera Potopova, Ladislava Reznickova, Egidijus Rimkus, Inna Semenova, Edvinas Stonevicius, Petr Stepanek, Miroslav Trnka, Sergio M. Vicente-Serrano, Joanna Wibig, Pavel Zahradnicek
Summary: This study analyzes the long-term changes in drought indices in 11 central and eastern European countries, revealing different trends in different seasons and regions. Winter shows increased precipitation in the north, while summer exhibits a clear drying trend in the southern regions.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Laura Altin, Rein Ahas, Siiri Silm, Erki Saluveer
Summary: Event tourism is a rapidly growing phenomenon, with increasing numbers of international travelers attending events. This study analyzed mobile positioning data from visits to Estonia between 2006 and 2013, finding that visitors to megastar concerts are more likely to come from neighboring countries and spend less time in the destination compared to visitors of other events.
SCANDINAVIAN JOURNAL OF HOSPITALITY AND TOURISM
(2022)
Article
Anthropology
Anniki Puura, Siiri Silm, Anu Masso
Summary: The study found that there is a link between the spatial distribution of personal social networks and spatial mobility, with individuals with dispersed networks often having more spatial mobility. The research summarized three types through a typological approach, which can be explained by gender, network composition, and the use of mobile phones and social media.
Article
Computer Science, Information Systems
Rahul Goel, Rajesh Sharma, Anto Aasa
Summary: This study examines segregation behavior among different populations in Estonia based on gender, age, and language using call data records. The findings suggest the presence of gender, age, and language segregation within the population.
SOCIAL NETWORK ANALYSIS AND MINING
(2021)
Article
Psychology, Social
Anu Realo, Siiri Silm, Margus Tiru, Juri Allik
Summary: This study investigated the relationship between Five-Factor Model personality traits and trips abroad in a sample of 349 adults over a 12-month period using Call Detail Records. The findings suggest that younger individuals who are open to new values and experiences and seek novelty and excitement are more likely to travel abroad. Higher levels of extraversion, particularly social dominance and energy, as well as spontaneity, also play a role in predicting the frequency and number of different countries visited. The study highlights the importance of studying personality at a more detailed level and provides cautious support for the concept of a mobile personality.
JOURNAL OF RESEARCH IN PERSONALITY
(2023)
Article
Area Studies
Keiu Telve, Kirsti Vill, Siiri Silm
Summary: Transnational Estonians use ICT to maintain connections with their home country, strengthening their transnational identities.
JOURNAL OF BALTIC STUDIES
(2023)
Article
Behavioral Sciences
Kaia Laidra, Rainer Reile, Merle Havik, Mall Leinsalu, Carolina Murd, Jaan Tulviste, Merili Tamson, Kirsti Akkermann, Kairi Kreegipuu, Hedvig Sultson, Mare Ainsaar, Andero Uusberg, Jaana Rahno, Liisi Panov, Kadri Leetmaa, Anto Aasa, Toomas Veidebaum, Kelli Lehto, Kenn Konstabel
Summary: The Estonian National Mental Health Study (EMHS) aims to provide population-wide data on mental health in the context of the COVID-19 pandemic. This study collected data from a regionally representative stratified random sample of 20,000 individuals aged 15 years and older. The results showed that in the three survey waves, 27.6%, 25.1%, and 25.6% of adult respondents screened positive for depression.
BRAIN AND BEHAVIOR
(2023)
Article
Telecommunications
Anto Aasa, Pilleriine Kamenjuk, Erki Saluveer, Jan Simbera, Janika Raun
Summary: Mobile positioning data is a promising source for producing population and mobility statistics, but challenges remain in producing official statistics and successful projects. This study compares five spatial interpolation methods and finds that the adaptive Morton grid and Random forest model are the best for describing population distribution and size. Careful selection of spatial interpolation methods is important for producing reliable population statistics from mobile positioning data.
JOURNAL OF LOCATION BASED SERVICES
(2021)
Article
Telecommunications
Olle Jarv, Ago Tominga, Kerli Muurisepp, Siiri Silm
Summary: Global crises like the COVID-19 pandemic have impacted societies and individuals' daily lives differently. Research on transnational Estonians residing in Finland during the pandemic revealed significant changes in their mobility patterns, with some choosing to stay in Estonia instead of their primary home in Finland. Mobile phone communication activity also shifted, with Finnish contacts decreasing while Estonian partners remained active.
JOURNAL OF LOCATION BASED SERVICES
(2021)
Article
Social Issues
Siiri Silm, Veronika Mooses, Anniki Puura, Anu Masso, Ago Tominga, Erki Saluveer
Summary: This study contributes to the discussion on ethnic segregation cycle by examining individuals' activity spaces and social networks. It shows that interethnic social networks are more common among the Russian-speaking minority population. The composition of social networks and residential areas are related to activity spaces, with Estonian speakers having more expansive spatial behaviors and Russian speakers having more constrained behaviors when having co-ethnic networks.
Article
Economics
Olle Jarv, Anu Masso, Siiri Silm, Rein Ahas
Summary: This study examines ethnic segregation in Estonia using an activity space approach and finds that segregation levels are determined by factors such as individuals' activity spaces and social status, rather than just education and income. The results suggest that ethnic inequality in spatial behavior is linked to individuals' position in society.
TIJDSCHRIFT VOOR ECONOMISCHE EN SOCIALE GEOGRAFIE
(2021)
Article
Environmental Studies
Siiri Silm, Jussi S. Jauhiainen, Janika Raun, Margus Tiru
Summary: The study finds that temporary population mobility between Estonia and Finland is frequent, but the durations and temporal rhythms vary depending on the purposes of the visits. While most visitors are tourists, there is also a small percentage of regular cross-border travelers. These intensive cross-border mobilities contribute to the development of a cross-border region between the two countries.
EUROPEAN PLANNING STUDIES
(2021)
Article
Humanities, Multidisciplinary
Veronika Mooses, Siiri Silm, Tiit Tammaru, Erki Saluveer
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2020)
Article
Hospitality, Leisure, Sport & Tourism
Erki Saluveer, Janika Raun, Margus Tiru, Laura Altin, Jaanus Kroon, Tarass Snitsarenko, Anto Aasa, Siiri Silm
ANNALS OF TOURISM RESEARCH
(2020)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
