Interday Stability of Taxi Travel Flow in Urban Areas

Article Engineering, Multidisciplinary

New York City taxi trip duration prediction using MLP and XGBoost

M. Poongodi et al.

Summary: Predicting the duration and price of taxi trips through apps like Ola and Uber can help users plan their trips properly, reserve time margins for potential traffic congestions, and assist drivers in selecting faster routes.

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2022)

添加到收藏夹

Article Urban Studies

Transit's downward spiral: Assessing the social-justice implications of ride-hailing platforms and COVID-19 for public transportation in the US

Torin Monahan et al.

Summary: This paper explores the interconnections between ride-hailing platforms and public transit systems in large US cities. It finds that ride-hailing platforms have led to a downward spiral in public transportation systems, with the pandemic exacerbating the instability. However, it also suggests the potential for complementary partnerships between ride-hailing and transit systems.

CITIES (2022)

添加到收藏夹

Article Geography

Road intersection identification from crowdsourced big trace data using Mask-RCNN

Xue Yang et al.

Summary: Road intersection data are critical in spatial applications, and detecting macroscopic information accurately with Mask-RCNN can lead to better extraction of detailed spatial structures. Real-world trace datasets from Wuhan and Rome were used to verify the system, showing improved performance compared to existing RCNN-based models in identifying common types of road intersections.

TRANSACTIONS IN GIS (2022)

添加到收藏夹

Article Geography

Mining crowdsourced trajectory and geo-tagged data for spatial-semantic road map construction

Jincai Huang et al.

Summary: This study proposes a divide-and-conquer method to construct a spatial-semantic road map by integrating crowdsourced trajectories and geo-tagged data, enhancing the geometric structures and semantic information of the road map.

TRANSACTIONS IN GIS (2022)

添加到收藏夹

Article Geography

Recurrent origin-destination network for exploration of human periodic collective dynamics

Xiaojian Chen et al.

Summary: This article discusses the collective dynamics of individuals' daily movements and proposes a method to identify recurrent OD networks. Results show that these recurrent networks exhibit distinctive patterns and localized community structures for each region within a day. The study may have significant implications for fields such as urban planning and infectious disease control.

TRANSACTIONS IN GIS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Geographical and temporal huff model calibration using taxi trajectory data

Shuhui Gong et al.

Summary: The Huff model is calibrated using GTWR to show significant geographical and temporal variations in attractiveness and travel cost parameters, with wealthy customers being more sensitive to a shopping centre's attractiveness. Factors such as customer wealth, spare time, and travel mode influence shopping behaviors, and there are differences in customer behaviors between New York and Shenzhen, particularly at weekends. The GTWR calibration and identification of factors affecting urban travel behaviors can contribute to optimizing urban transportation design.

GEOINFORMATICA (2021)

添加到收藏夹

Article Computer Science, Information Systems

L-function of geographical flows

Hua Shu et al.

Summary: The paper proposes the L-function to detect the aggregation scale of flows, and through simulation experiments and a case study of taxi data in Beijing, identifies nine different aggregation scales of taxi OD flows. These scales correspond to three classes of distances, which are related to the sizes of urban facilities.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2021)

添加到收藏夹

Article Economics

Exploring the spatial impacts of human activities on urban traffic crashes using multi-source big data

Jie Bao et al.

Summary: This study investigates how human activities contribute to the spatial pattern of traffic crashes in urban areas using multi-source big data, revealing that human activity variables significantly affect the spatial pattern of traffic crashes and can bring new insights for roadway safety analyses. Comparative analyses show that multiple big data sources can complement each other to improve crash models' performance and fully unveil the spatial impacts of human activities on traffic crashes in urban areas.

JOURNAL OF TRANSPORT GEOGRAPHY (2021)

添加到收藏夹

Article Economics

A robust analysis of the impacts of the stay-at-home policy on taxi and Citi Bike usage: A case study of Manhattan

Yiyuan Lei et al.

Summary: This study examines the impact of the stay-at-home policy in New York City on the bike-sharing system (BSS) and yellow taxi system (YTS). By introducing robust statistical approaches, it was found that the impact on BSS was more significant, with a surge in demand on weekends, significantly affecting long-term sustainability.

TRANSPORT POLICY (2021)

添加到收藏夹

Article Economics

Uber versus Taxi: A Driver's Eye View

Joshua D. Angrist et al.

Summary: The study evaluates the compensation models for Uber drivers, showing that leasing a virtual taxi medallion can eliminate the Uber fee and drivers have a significant labor supply response. However, not all drivers choose this leasing option, with some opting to wait and see, indicating a preference difference for rideshare and taxi-style compensation contracts among drivers.

AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS (2021)

添加到收藏夹

Article Geography

A multilayer mobility network approach to inferring urban structures using shared mobility and taxi data

Junwei Zhang et al.

Summary: The study proposes two empirical multilayer networks to infer and profile urban structures using traditional taxi data and shared mobility data. Testing in New York City, the networks allow for a better understanding of urban structures and provide a useful geocomputation framework.

TRANSACTIONS IN GIS (2021)

添加到收藏夹

Article Transportation Science & Technology

A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane

Krishna N. S. Behara et al.

Summary: This paper presents a methodological framework for exploring typical travel patterns and estimating corresponding OD matrices. By experimenting with different proximity measures and clustering algorithms, it was found that using GSSI and DBSCAN yield better results for identifying travel patterns. This approach is applicable to various data sources and spatiotemporal contexts.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

添加到收藏夹

Article Environmental Sciences

COVID-19 outbreak, lockdown, and air quality: fresh insights from New York City

Khurram Shehzad et al.

Summary: The outbreak of COVID-19 led to a strict lockdown in New York City, providing a unique opportunity to assess air quality. Research findings showed decreases in PM2.5 and NO2 concentrations, an increase in O-3 levels, and a significant reduction in the air quality index, impacting environmental policy-making.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Guided Deep Learning Approach for Joint Road Extraction and Intersection Detection From RS Images and Taxi Trajectories

Yali Li et al.

Summary: The study introduces a multitask and multisource adaptive fusion network using remote sensing images and GPS trajectory data for road information extraction, capable of simultaneously carrying out road detection and intersection detection tasks. Results demonstrate the superiority of this approach in road detection and intersection extraction tasks.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

添加到收藏夹

Article Economics

Beyond absolute space: An exploration of relative and relational space in Shanghai using taxi trajectory data

Xijing Li et al.

Summary: This article uses taxi trajectory data to explore the interaction among absolute space, relative space, and relational space in Harvey's framework using Structural Equation Modeling (SEM). The study highlights the importance of coordinating land use and travel demand in urban planning and development, and identifies a mismatch between urban mobility and the built environment in Shanghai, resulting in a transformation of the city's polycentric structure in absolute space to a single-node structure in relational space.

JOURNAL OF TRANSPORT GEOGRAPHY (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City

Yunzhe Liu et al.

Summary: This study introduces a novel space-time analytical framework and applies it to taxi GPS data in Manhattan to identify and describe 31 road-constrained areas of interest. The analysis captures various important locations in terms of their spatial and temporal distribution, as well as contextual characteristics.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2021)

添加到收藏夹

Article Economics

Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China

Shaoying Li et al.

Summary: This study introduces a method based on gravity model and Bayesian rules for inferring the trip purposes of dockless shared-bike users, which was applied in Shenzhen, China. The research considers various comprehensive factors, such as distance, time, environment, activity type proportion, and service capacity of points of interest (POIs). Results demonstrate that introducing activity type proportion and service capacity of POIs can enhance the effectiveness of inferring the purposes of dockless shared-bike trips.

JOURNAL OF TRANSPORT GEOGRAPHY (2021)

添加到收藏夹

Article Transportation Science & Technology