Article
Engineering, Civil
Cristobal Heredia, Sebastian Moreno, Wilfredo F. Yushimito
Summary: This paper introduces a new taxi data clustering model called OD-means, which is a hierarchical adaptive k-means algorithm based on origin-destination pairs, successfully tested on taxi GPS data from Santiago, Chile.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Tao Lyu, Yuanqing Wang, Shujuan Ji, Tao Feng, Zhouhao Wu
Summary: This study analyzes the spatial predictors of taxi ridership using a multiscale geographically weighted regression (MGWR) model and finds that the model performs well in explaining fluctuations in ridership and aiding in localized policy making.
JOURNAL OF TRANSPORT GEOGRAPHY
(2023)
Article
Automation & Control Systems
Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang
Summary: The article introduces a new district attraction ranking approach called AttractRank, which utilizes taxi big data for ranking and an application system development. The research demonstrates the effective use of urban data for urban planning, visualizing the attraction ranking of each district to discover interesting patterns about urban life.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin
Summary: In this work, a novel neural network module called Heterogeneous Information Aggregation Machine (HIAM) is proposed to jointly learn the evolutionary patterns of OD and DO ridership by fully exploiting heterogeneous information of historical data. Based on the proposed HIAM, a unified Seq2Seq network is developed to forecast the future OD and DO ridership simultaneously.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Criminology & Penology
Nan Li, Young-An Kim
Summary: This study examines the effects of subway station numbers and ridership on crime in New York City, taking into account structural characteristics and land use. Results show that the number of subway stations has a crime-enhancing effect on robbery, aggravated assault, burglary, and larceny, but a crime-reducing effect on motor vehicle theft. The effects of subway ridership vary across different types of crime. Additionally, the proportion of retail land use moderates the effects of subway stations.
CRIME & DELINQUENCY
(2023)
Article
Urban Studies
Pengyu Zhu, Jie Huang, Jiaoe Wang, Yu Liu, Jiarong Li, Mingshu Wang, Wei Qiang
Summary: This study examines taxi demand in Beijing at a 1-kilometer square grid resolution using spatial econometric models. The results show that road network density has the strongest direct and indirect impact on taxi ridership during peak hours. Additionally, there is a relationship between public transportation coverage and taxi ridership, where bus coverage has positive effects and subway coverage has negative effects. The study emphasizes the complex nature of taxi demand and its implications for urban transportation planning.
Article
Economics
Haoyun Wang, Robert B. Noland
Summary: The COVID-19 pandemic had a significant impact on the Citi Bike system and subway system in New York City, with bikeshare usage almost returning to normal while subway ridership remaining substantially below pre-COVID levels. The bikeshare system was found to provide resilience to the overall transportation system during disasters when public transit is considered dangerous or disrupted.
Article
Green & Sustainable Science & Technology
Chen Xie, Dexin Yu, Ciyun Lin, Xiaoyu Zheng, Bo Peng
Summary: This study aims to understand the spatiotemporal correlation between the urban built environment and taxi ridership in New York City. The study found that land use diversity is negatively correlated with taxi ridership, while transportation diversity is positively correlated with it. It also revealed that a highly accessible road network improves people's demand for taxis during the morning rush hours, and the density of railway stations positively affects taxi ridership on weekdays but negatively on weekends.
Article
Computer Science, Information Systems
Yuhang Gu, Menno-Jan Kraak, Yuri Engelhardt, Franz-Benjamin Mocnik
Summary: In this article, a novel classification scheme for static OD visualizations is proposed, which takes into account five aspects: the granularity of flows, the dimensionality in and of the display space, the semantics of the display space, the representation of nodes and flows, and the ways of relating two visualizations. The proposed classification scheme is evaluated using published visualization examples and shown to be effective and expressive.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2023)
Article
Public, Environmental & Occupational Health
Shima Hamidi, Iman Hamidi
Summary: This study in New York City found that crowding, rather than density, was associated with higher COVID-19 infection rates, while subway ridership showed no significant relationship. Racial and socioeconomic compositions were identified as important predictors of infection rates.
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
(2021)
Article
Engineering, Civil
Chao Wang, Xiaojian Wang, Renbin Pan, Yusong Yan
Summary: This study explores the influencing factors and spatial variations of subway trips at the grid level, revealing the impact of the built environment on trip origin and destination and the spatial differences. The findings can guide planning departments and transportation agencies in implementing targeted policies and creating a convenient travel environment.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Multidisciplinary Sciences
Changwei Yuan, Yaxin Duan, Xinhua Mao, Ningyuan Ma, Jiannan Zhao
Summary: This study investigates the impact of the mixed degree of urban functions on taxi travel demand by combining urban points of interest and taxi GPS data. The spatial information entropy model, kernel density estimation method, and geographically weighted regression model reveal the spatiotemporal patterns of urban functions on taxi demand.
Article
Engineering, Civil
Md Tanvir Ashraf, Md Amdad Hossen, Kakan Dey, Sarah El-Dabaja, Moathe Aljeri, Bhaven Naik
Summary: Bike sharing programs are increasingly popular in urban areas, addressing first- and last-mile connectivity issues and providing a convenient option for short-distance trips.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Engineering, Civil
Wei Chen, Zongping Li, Can Liu, Yi Ai
Summary: This paper proposes a new method based on deep learning technology to evaluate congestion delays in subway stations of urban rail transit. By using AFC data and Conv-LSTM network to extract spatial and temporal characteristics, it solves the short-term prediction problem of subway congestion delays.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Economics
Merkebe Getachew Demissie, Lina Kattan
Summary: This study proposes the use of GPS data to estimate truck origin-destination flows, develops a heuristic-based approach to identify key events, compares trucks' mobility patterns using correlation coefficient and entropy measure, and estimates destination choice models using a multinomial logit structure.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Architecture
Shujie Chen, Yan Yang, Zhenjiang Shen
Summary: This paper focuses on the impacts of new construction activities of such bridges on Min-Zhe Bridge's Traditional Building Craftsmanship (TBC for short). It investigates a total of fifty-six such bridges, including their implementing mechanism, designs, structures, and functions. Based on the investigation, it discusses the advantages and challenges of these activities in terms of the conservation of TBC, the relevant woodworking masters, and the core communities.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2023)
Article
Geosciences, Multidisciplinary
Pengjun Zhao, Haoyu Hu, Liangen Zeng, Jun Chen, Xinyue Ye
Summary: Inter-city mobility is crucial for accessing regional labour markets, goods and services, and preventing the spread of infectious diseases. This study examines inter-city mobility patterns in the Jing-Jin-Ji Region using mobile phone data and finds that non-commuting travel is dominant (89.3%), with longer distances compared to commuting. The study also reveals a hierarchical structure in inter-city travel volume, following Zipf's law. These findings contribute to understanding inter-city mobility laws and have important implications for regional policies on human mobility.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Engineering, Electrical & Electronic
Xinrong Huang, Wenjie Liu, Jinhao Meng, Yuanyuan Li, Siyu Jin, Remus Teodorescu, Daniel-Ioan Stroe
Summary: This article investigates the effect of low-frequency positive pulsed current (PPC) charging on the lifetime and charging performance of Li-ion batteries. Experimental results show that compared to traditional constant current (CC) charging, Li-ion batteries cycled by PPC charging have improved lifetime, maximum rising temperature, and energy efficiency by 81.6%, 60.5%, and 9.1% respectively. Therefore, low-frequency PPC charging should be considered as a promising charging strategy for Li-ion batteries.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Construction & Building Technology
Chao Wu, Yu Ye, Fanzong Gao, Xinyue Ye
Summary: There is a strong correlation between the physical environment, human perception, and urban vitality. This study uses EasyGo data to analyze differences in daytime and nighttime vitality in Shenzhen, China, and calculates subjective and objective variables based on street view images to reflect human perceptions. The results suggest that urban vitality is influenced by the allocation of urban function, accessibility, building form, and human perceptions, with daytime and nighttime vitality showing distinct differences.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Regional & Urban Planning
Xinyue Ye, Jiaxin Du, Yu Han, Galen Newman, David Retchless, Lei Zou, Youngjib Ham, Zhenhang Cai
Summary: This article provides a scoping review of UDTs, identifies challenges and opportunities for community adaptation planning, and develops a conceptual framework for community infrastructure resilience. It highlights the need for integrating multi-agent interactions, artificial intelligence, and coupled systems into a human-centered UDTs framework.
JOURNAL OF PLANNING LITERATURE
(2023)
Article
Public, Environmental & Occupational Health
Shichao Du, Jie Yao, Gordon C. Shen, Betty Lin, Tomoko Udo, Julia Hastings, Fei Wang, Fusheng Wang, Zhe Zhang, Xinyue Ye, Kai Zhang
Summary: This study employs machine learning to investigate the social drivers of mental health in different census tracts in the U.S. The results indicate that social drivers have a significant impact on mental health problems, and the effects vary based on factors such as poverty and racial segregation.
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
(2023)
Editorial Material
Environmental Studies
Bahar Dadashova, Ralph Buehler, Christopher Cherry, Xinyue Ye
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Zhenhang Cai, Galen Newman, Jaekyung Lee, Xinyue Ye, David Retchless, Lei Zou, Youngjib Ham
Summary: Galveston Island in Texas, USA is considering the implementation of a coastal surge barrier, known as the 'Ike Dike', to protect against hurricanes and severe floods. By developing a 3-dimensional urban model, researchers evaluated the effects of the coastal barrier across different storm scenarios. The findings showed that the implementation of the barrier significantly reduced the inundated area and property damage during storm events, but the protection decreased when considering sea level rise from the bay side.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Ergonomics
Chunwu Zhu, Charles T. Brown, Bahar Dadashova, Xinyue Ye, Soheil Sohrabi, Ingrid Potts
Summary: Pedestrians and bicyclists from marginalized and underserved populations in the US are more likely to experience higher fatalities and injury rates in traffic crashes. Traditional safety studies did not consider the interaction between drivers and pedestrians/bicyclists. In this study, we paired the driver and pedestrian/bicyclist involved in the same crash to understand their socioeconomic and demographic characteristics and analyzed the contributing factors of the crashes. The research findings can inform decision-making processes for improving safety and ensuring equitable and sustainable safety for all road users and communities.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Environmental Studies
Ge Gao, Xinyue Ye, Shoujia Li, Xiao Huang, Huan Ning, David Retchless, Zhenlong Li
Summary: Flood mitigation governance plays a crucial role in coastal regions affected by severe flooding. Raising the First-Floor Elevation (FFE) above the base flood elevation (BFE) is an effective measure to reduce flood risks. With the advancements in computer vision technology, new approaches for FFE measurement have emerged, which can be applied to inform flood risk management and governance. The case study conducted in Galveston Island, Texas demonstrates the potential of these new approaches and provides valuable insights for flood management in other vulnerable coastal communities.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Editorial Material
Regional & Urban Planning
Xinyue Ye, Galen Newman, Chanam Lee, Shannon Van Zandt, Dawn Jourdan
JOURNAL OF PLANNING EDUCATION AND RESEARCH
(2023)
Editorial Material
Regional & Urban Planning
Dawn Jourdan, Chanam Lee, Galen Newman, Shannon VanZandt, Xinyue Ye
JOURNAL OF PLANNING EDUCATION AND RESEARCH
(2023)
Review
Geography, Physical
Liu Sheng, Ge Jian, Ye Xinyue, Wu Chao, Bai Ming
Summary: This study aims to bridge the gap between urban vitality research and practical application by exploring the content and methods of vitality assessment. The research highlights the diversity of research subjects, the authenticity and comprehensiveness of vitality measurement, and the multidomain of impact factor analysis as the main gaps between current research and practice. The study proposes expandable aspects including multi-dimensional vitality evaluation, methods reflecting high-quality social interactions and perceptions of vulnerable groups, the impact of design and urban management on vitality, and the synergistic effects of multiple indicators on vitality.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2023)
Article
Environmental Sciences
Jin-Tao Yuan, Wan-Xu Chen, Jie Zeng, Xin-Yue Ye
Summary: Cropland elevation uplift (CLEU) poses a new challenge for agricultural modernization, food security, and sustainable cropland use in China. Understanding the rules of CLEU is crucial for sustainable agricultural development and rural revitalization strategy. However, current studies lack comprehensive analysis of the multi-scale CLEU evolution, hindering the formulation of specific cropland protection policies.
JOURNAL OF MOUNTAIN SCIENCE
(2023)
Article
Multidisciplinary Sciences
Yong Ge, Shan Hu, Yongze Song, Hua Zheng, Yansui Liu, Xinyue Ye, Ting Ma, Mengxiao Liu, Chenghu Zhou
Summary: Sustainable development in impoverished areas is a global challenge, especially in poverty-stricken areas (PSAs) in China where there are trade-offs between development and conservation. This study developed a county-level index system to assess the coordinated relationship between socioeconomic and environmental sectors in China's PSAs. The results showed that from 2000 to 2020, there was an increasing coordination between socioeconomic and environmental conditions in PSAs, although the environmental improvement was relatively slow. China's long-term interventions in poverty reduction and environmental conservation contributed to the coordinated development between the social economy and the environment.
