Article
Economics
Haixiao Pan, Ya Gao, Qing Shen, Anne Vernez Moudon, Jianyi Tuo, Khandker Nurul Habib
Summary: This study analyzes the changes in travel modes of domestic visitors to Shaoxing before and after the operation of highspeed rail (HSR), and identifies the factors influencing tourists' travel mode choices. The findings show that HSR has significantly increased its modal share, replacing express buses rather than cars. The study also reveals that young people, females, and one-destination travelers are more likely to choose HSR, while higher income level groups and tourists traveling with family or friends prefer driving.
Article
Mathematics
Wenliang Zhou, Yujun Huang, Naijie Chai, Bo Li, Xiang Li
Summary: This paper presents a line-planning approach for high-speed railway networks that incorporates newly built railway lines, resulting in changes to the network's structure and passengers' travel routes. A passenger travel network with time information is constructed to accurately describe passengers' choices and train operations. An optimization model is established to optimize trains on both the existing network and the merged new line, considering constraints such as transportation resources. The proposed model aims to improve service levels and increase revenue while ensuring the continuity of existing trains. A Simulated Annealing Algorithm is designed to solve the model. The approach is tested on a partial high-speed railway network in China to demonstrate its practicability and validity.
Article
Multidisciplinary Sciences
Kehan Shi, Jinfang Wang, Xiaojin Liu, Xiaoying Zhao
Summary: The time-space compression effect of high-speed rail has a positive impact on tourism development in cities along the rail lines, especially for node cities. The opening of high-speed rail significantly increases tourism revenue and tourist arrivals. Different cities have comparative advantages in tourism under the influence of high-speed rail.
Article
Computer Science, Interdisciplinary Applications
Shuo Zhao, Runfa Wu, Feng Shi
Summary: This paper proposes a bi-level programming model based on game theory to optimize line planning for high-speed railway network, which incorporates estimated starting time and passenger flow assignment to improve service level. It also suggests a decomposition searching strategy combining efficiency evaluation to solve the problem.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Mathematics
Wenliang Zhou, Sha Li, Jing Kang, Yu Huang
Summary: This study addresses the capacity-oriented train scheduling problem by considering the time-space distribution of transportation demands and the operation and maintenance of rolling stock. The proposed algorithm, which includes path search sub-algorithms and a decomposition approach based on Lagrangian relaxation, effectively manages train timetables and rolling stock operation.
Article
Engineering, Mechanical
Fei Yang, Zilong Wei, Xianfu Sun, Chen Shen, Alfredo Nunez
Summary: A transient rolling contact model accounting for the nonlinear displacement-force properties of hanging sleepers was proposed in the study, revealing that the severity of sleeper hanging is significantly affected by rail surface irregularities and can exacerbate wheel-rail impact and increase contact force, leading to plastic deformation of the rail material. Impacts on adhesion-slip states and rolling contact fatigue due to sleeper hanging defects were found to be minimal.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Business
Zaichao Du, Han Li, Feng Wei, Lan Zhang
Summary: The introduction of the Beijing-Shanghai high-speed rail and the Wenzhou bullet-train collision in China had different effects on price dispersion. The former resulted in increased price dispersion, while the latter led to decreased price dispersion.
INDUSTRIAL AND CORPORATE CHANGE
(2023)
Article
Acoustics
Xing Du, Xuesong Jin, Guotang Zhao, Zefeng Wen, Wei Li
Summary: This study identified the characteristics and development process of rail corrugation on high-speed rail tracks through testing and analysis. The rail grinding technology has a significant impact on the formation and development of corrugation.
SHOCK AND VIBRATION
(2021)
Article
Economics
Changmin Jiang, Chunan Wang
Summary: This study examines the competition between high-speed rail and air transport, as well as the impact of changing the pricing strategy of high-speed rail on social welfare. The findings suggest that fixed pricing for high-speed rail may lead to increased traffic, and transitioning from fixed to variable pricing generally results in higher social welfare, although in certain cases, fixed pricing may still be more beneficial.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Guangming Xu, Jing Guo, Linhuan Zhong, Fangni Zhang, Wei Liu
Summary: This study investigates the potential of implementing express delivery services on the high-speed railway with specified time windows and optimizes the train capacity allocation scheme to maximize profit. It proposes an integer linear programming model and a two-stage stochastic programming model to handle deterministic and stochastic demand cases respectively. The method's effectiveness is demonstrated through applications on small and actual high-speed railway networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Acoustics
Zilong Wei, Xianfu Sun, Fei Yang, Zaitian Ke, Tao Lu, Pan Zhang, Chen Shen
Summary: This study investigates the capability of using carriage interior noise to diagnose rail corrugation on high-speed railways. An interior noise-based inspection algorithm is proposed, which successfully identifies the position, typical wavelength, and severity of rail corrugation.
Article
Economics
Song Pu, Shuguang Zhan
Summary: This paper presents a two-stage robust optimization model that can help minimize both operation and travel costs for railway enterprises under uncertain passenger demands.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Mathematics
Wenliang Zhou, Xiang Li, Xin Shi
Summary: This paper investigates the time-dependent line planning problem and differential pricing problem in high-speed railway networks with elastic origin-destination-period demand. A non-linear joint optimization model is proposed to maximize the total revenue of railway operators and minimize the total travel cost of passengers. A simulated annealing algorithm and six neighborhood search strategies are developed to solve the optimization model efficiently. The results demonstrate that the optimized line plan and price plan can increase the total revenue of railway operators and improve the travel service for passengers.
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
Green & Sustainable Science & Technology
Jinfei Wu, Xinghua Shan, Jingxia Sun, Shengyuan Weng, Shuo Zhao
Summary: In this paper, the authors propose an optimization approach for daily line planning of high-speed railway lines, aiming to balance system costs and operation stability. By adjusting the reference line plan based on the baseline plan, a bi-level programming model is constructed to capture the interactions between railway companies and passengers. The proposed method, using the Simulated Annealing Algorithm, demonstrates its effectiveness in optimizing the system costs and ensuring operation stability, as evidenced by the case study on Beijing-Shanghai HSR Line.
Article
Engineering, Civil
Rui Colaco, Joao de Abreu e Silva
Summary: Online shopping and in-store shopping have a complementary effect, which is related to personal travel behavior. With the increasing delivery speed and the growing difficulty of living in central areas, the complementarity may give way to substitution, posing challenges for policymakers.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Transportation
Mateus Humberto, Filipe Moura, Mariana Giannotti
Summary: This paper explores children's views and perceptions about urban mobility through the Philosophy with Children (PwC) inquiry approach, using data collected from 317 5 to 6-year old children and their caregivers in Sao Paulo public preschools. The study identified variables affecting young children's opinions about urban mobility, including gender, being non-native, and social vulnerability. The research suggests the potential of the PwC approach to inquiry about established travel behavior among children while addressing an age group often overlooked in transport-related studies.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Transportation Science & Technology
Vishnu Baburajan, Joao de Abreu e Silva, Francisco Camara Pereira
Summary: To improve the traveling experience, researchers have analyzed the role of attitudes in travel behavior modeling. They proposed using Topic Modeling to extract information from open-ended questions and compared its performance with closed-ended responses. The results indicated that the models estimated using the closed-ended questions performed better compared to those using Topic Modeling.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Multidisciplinary Sciences
Miguel Costa, Manuel Marques, Carlos Roque, Filipe Moura
Summary: This study has published a collection of 30 datasets on cycling accidents to lower the barriers in researching cycling safety and provide a platform for researchers to develop tools and models to improve the safety of cyclists.
Article
Business
Rui Colaco, Joao de Abreu e Silva
Summary: This paper examines the adoption of online shopping in Lisbon before the COVID-19 pandemic. The study finds that online shopping has spatial dependence within the city, influenced by residential location preferences of different socioeconomic groups. Additionally, age and affluence are important determinants of online shopping adoption.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2022)
Article
Engineering, Civil
Shanna Triches Lucchesi, Joao de Abreu e Silva, Ana Margarita Larranaga, Douglas Zechin, Helena Beatriz Bettella Cybis
Summary: This study aims to test the application of an existing semantic segmentation algorithm to represent urban scenes in Sao Paulo and understand the impact of different urban scenes on pedestrian behavior. The results indicate that car-oriented and unoccupied areas have a negative influence on walkability perception, while densified areas, proximity to public transportation routes, and the presence of lighting and pedestrians have a positive impact on walking behavior.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Economics
Bruno T. Rocha, Nuno Afonso, Patricia C. Melo, Joao de Abreu e Silva
Summary: This study investigates the factors affecting the allocation of motorways across municipalities in mainland Portugal. Population size, market potential, terrain ruggedness, and distance to the coast are found to be important determinants of motorway density in 2020. Proximity to historical and pre-existing transport networks also plays a role, with municipalities closer to certain itineraries and road plans having higher motorway densities.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Green & Sustainable Science & Technology
Shanna Triches Lucchesi, J. de Abreu e Silva, A. M. Larranaga, H. B. B. Cybis
Summary: The study confirms the existence of a premium for walkability investments in both Sao Paulo and Rio de Janeiro, even in low-income neighborhoods with non-ideal conditions for walking. The impact of the built environment on real estate pricing is mediated by latent perceptions, highlighting the importance of subjective measures.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
Joao de Abreu e Silva, Shanna Triches Lucchesi
Summary: Global South cities are underrepresented in studies examining the relationships between location choice, land-use patterns, and travel behavior. This study aims to address this gap by providing new evidence from the metropolitan region of São Paulo, Brazil. The results show that land-use patterns have an influence on travel behavior, particularly in terms of commuting distance and car ownership. Income and cohort effects also play a role in shaping travel behavior.
JOURNAL OF TRANSPORT AND LAND USE
(2022)
Article
Geography
Joao de Abreu e Silva
Summary: Confinement measures during the COVID-19 pandemic resulted in increased telework, which has the potential to contribute to urban sprawl. A survey in the Lisbon Metropolitan Area found that individuals willing to telework more frequently are more likely to live in suburban areas, prefer suburban environments, and have longer commutes. These findings support the idea that telework can help reduce commuting burden.
REGIONAL SCIENCE POLICY AND PRACTICE
(2022)
Article
Environmental Studies
Rui Colaco, Joao de Abreu e Silva
Summary: This study explores the role of accessibility measures in shaping firm location using a panel multinomial logit model. The results show that firm location is related to local integration and choice, with the strength of the relationship varying depending on the commercial category. This reinforces the idea that good urban design can help commerce locate in new areas while being successful in older, central areas of the city.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Filipe Moura, Gabriel Valenca, Rosa Felix, David S. Vale
Summary: This research examines the impact of a bike-sharing system named GIRA on user travel modes. By surveying 3112 users, the study identifies the determinants of the system's ability to generate new trips or replace previous modes. The results indicate that GIRA generates around 20% of the bike-sharing trips, while replacing 55% of motorized trips and 25% of non-motorized trips. Having an annual GIRA pass and a bike-sharing station within a 5-minute walk are key factors influencing mode replacement. Regular car users are more likely to use bike-sharing for leisure purposes.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Economics
Bruno T. Rocha, Patricia C. Melo, Nuno Afonso, Joao de Abreu e Silva
Summary: This paper examines the causal impact of the Portuguese motorway network development on the local economy and worker commuting between 1981 and 2011. Instrumental variables based on historical transport networks are used to provide pseudo-random variation in motorway locations. The findings indicate that motorways significantly affect worker mobility across municipalities and also contribute to growth in business turnover and gross value added at the local level. The results remain robust in various sensitivity analyses.
Article
Mathematics, Applied
Mohammad Sadegh Bahadori, Alexandre B. Goncalves, Filipe Moura
Summary: Bicycle-sharing systems are effective in reducing private car usage and encouraging sustainable transport modes. The location of BSS stations plays a critical role in the system's efficiency. This study proposes a GIS-MCDM framework to rank potential locations for BSS stations. The framework was applied to a case study of expanding the BSS in Lisbon, Portugal, and found that city infrastructure, population density, and slope were the most important factors.
Article
Transportation
Miguel Costa, Rosa Felix, Manuel Marques, Filipe Moura
Summary: This paper analyzes the impact of the SARS-CoV-2 virus lockdown on the behavior change of cyclists and previously non-cyclists in Lisbon, Portugal. The study finds that people tended to cycle more often after the lockdown, mainly for recreational or exercise purposes. The results also indicate that individuals with lower cycling frequency levels before the lockdown were more likely to cycle after it.
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES
(2022)
