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[1] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[2] Xiaoning Zhang,et al. Multiple equilibrium behaviors of auto travellers and a freight carrier under the cordon-based large-truck restriction regulation , 2020 .
[3] Xiaodong Chen,et al. Efficiency measure on the truck restriction policy in China: A non-radial data envelopment model , 2019, Transportation Research Part A: Policy and Practice.
[4] Stephane Hess,et al. Developing Advanced Route Choice Models for Heavy Goods Vehicles Using GPS Data , 2015 .
[5] Ling Wang,et al. Multiple objective-oriented land supply for sustainable transportation: A perspective from industrial dependence, dominance and restrictions of 127 cities in the Yangtze River Economic Belt of China , 2020 .
[6] Lan Liu,et al. Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data , 2019, Sustainability.
[7] Kazuya Kawamura,et al. Logistics Chain Modeling for Urban Freight , 2017 .
[8] Julian Allen,et al. Data collection for understanding urban goods movement: comparison of collection methods and approaches in European countries , 2013 .
[9] C. J. Stevens,et al. Do companies care about sustainable land governance? An empirical assessment of company land policies , 2020 .
[10] Hani S. Mahmassani,et al. Reinforcement learning framework for freight demand forecasting to support operational planning decisions , 2020 .
[11] S. Behrends,et al. Recent Developments in Urban Logistics Research – A Review of the Proceedings of the International Conference on City Logistics 2009 – 2013☆ , 2016 .
[12] Khalid A Aljohani,et al. Integrating logistics facilities in Inner Melbourne to alleviate impacts of urban freight transport , 2016 .
[13] Alireza Ermagun,et al. Deriving Truck Route Choice from Large GPS Data Streams , 2016 .
[14] Jesus Gonzalez-Feliu,et al. The influence of aggregation level and category construction on estimation quality for freight trip generation models , 2019, Transportation Research Part E: Logistics and Transportation Review.
[15] Matthew J. Roorda,et al. COMPARING GPS AND NON-GPS SURVEY METHODS FOR COLLECTING URBAN GOODS AND SERVICE MOVEMENTS , 2013 .
[16] Matthias Winkenbach,et al. Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of São Paulo, Brazil , 2019, Journal of Transport Geography.
[17] Edward McCormack,et al. Understanding Freight Trip-Chaining Behavior Using a Spatial Data-Mining Approach with GPS Data , 2016 .
[18] Yu Liu,et al. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction , 2018, IEEE Transactions on Intelligent Transportation Systems.
[19] Divyakant Tahlyan,et al. Comprehensive Exploratory Analysis of Truck Route Choice Diversity in Florida , 2017 .
[20] Juan C. Agüero,et al. Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures , 2018 .
[21] Maja Piecyk,et al. Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London , 2017, Transportation Research Part D: Transport and Environment.
[22] Ta Theo Arentze,et al. Compliance with and influence of a new in-car navigation system for trucks: Results of a field test , 2012 .
[23] Julie L Cidell,et al. Concentration and decentralization: The new geography of freight distribution in US metropolitan areas , 2010 .
[24] K. Seto,et al. Building a global urban science , 2018, Nature Sustainability.
[25] Christian Ambrosini,et al. GPS Data Analysis for Understanding Urban Goods Movement , 2012 .
[26] Tingting Ye,et al. Population Mapping with Multisensor Remote Sensing Images and Point-Of-Interest Data , 2019, Remote. Sens..
[27] Mathieu Gardrat,et al. How can Urban Goods Movements be Surveyed in a Megacity? The Case of the Paris Region☆ , 2016 .
[28] John O Sobanjo,et al. The Value of Freight Accessibility: a Spatial Analysis in the Tampa Bay Region , 2019, Applied Spatial Analysis and Policy.
[29] Stefan Leyk,et al. Understanding urbanization: A study of census and satellite-derived urban classes in the United States, 1990-2010 , 2018, PloS one.
[30] T. Sørensen,et al. A method of establishing group of equal amplitude in plant sociobiology based on similarity of species content and its application to analyses of the vegetation on Danish commons , 1948 .
[31] Svetlana Nikoličić,et al. DIFFERENT URBAN CONSOLIDATION CENTRE SCENARIOS: IMPACT ON EXTERNAL COSTS OF LAST-MILE DELIVERIES , 2018, Transport.
[32] Kap Hwan Kim,et al. Collaborative truck scheduling and appointments for trucking companies and container terminals , 2016 .
[33] José Holguín-Veras,et al. Generalized noortman and van es’ empty trips model , 2021 .
[34] Lin Huang,et al. Bus tour-based routing and truck deployment for small-package shipping companies , 2020 .
[35] Edward McCormack,et al. ITS Devices Used to Collect Truck Data for Performance Benchmarks , 2006 .
[36] Henry A. Kautz,et al. Hierarchical organization of urban mobility and its connection with city livability , 2019, Nature Communications.
[37] Thomas H. Zunder,et al. Urban freight distribution , 2016 .
[38] Xiaolei Ma,et al. Developing a GPS-Based Truck Freight Performance Measure Platform , 2010 .
[39] Ying-Cheng Lai,et al. Universal model of individual and population mobility on diverse spatial scales , 2017, Nature Communications.
[40] Bailang Yu,et al. Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing, China , 2020 .
[41] Wilfredo F. Yushimito,et al. Evaluation of machine learning methodologies to predict stop delivery times from GPS data , 2019, Transportation Research Part C: Emerging Technologies.
[42] Bing Wu,et al. Impact Analysis of Extra Traffic Induced by Project Construction during Planned Special Events , 2019, Transportation Research Record: Journal of the Transportation Research Board.
[43] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[44] Xuexin Bao,et al. Research on Freight Pricing Mechanism of Shipping Companies Considering Supply Chain Management , 2019, Journal of Coastal Research.
[45] M. Barthelemy,et al. From mobile phone data to the spatial structure of cities , 2014, Scientific Reports.
[46] Andres Monzon,et al. A GPS Analysis for Urban Freight Distribution , 2012 .
[47] Julian Allen,et al. Survey Techniques in Urban Freight Transport Studies , 2012 .
[48] Davy Janssens,et al. Identifying business activity-travel patterns based on GPS data , 2021, Transportation Research Part C: Emerging Technologies.
[49] Edward McCormack,et al. GPS tracking of freight vehicles to identify and classify bottlenecks , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[50] Hanna Maoh,et al. Classifying the purpose of stopped truck events: An application of entropy to GPS data , 2016 .
[51] Edward McCormack,et al. Processing Commercial Global Positioning System Data to Develop a Web-Based Truck Performance Measures Program , 2011 .
[52] Pedro José Pérez-Martínez,et al. Changes in the external costs of freight surface transport In Spain , 2013 .
[53] Fan Zhang,et al. Mining freight truck's trip patterns from GPS data , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[54] Gilbert Laporte,et al. A review of recent research on green road freight transportation , 2014, Eur. J. Oper. Res..
[55] Pedro José Pérez-Martínez,et al. Heavy truck restrictions and air quality implications in São Paulo, Brazil. , 2017, Journal of environmental management.
[56] Joseph Ying Jun Chow,et al. A downtown on-street parking model with urban truck delivery behavior , 2017 .
[57] Pabitra Mitra,et al. Identifying and Characterizing Truck Stops from GPS Data , 2016, ICDM.
[58] Shanjiang Zhu,et al. Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle , 2015, PloS one.
[59] Jeffrey Short,et al. Estimation of Statewide Origin–Destination Truck Flows from Large Streams of GPS Data , 2015 .
[60] J. Y. Yen,et al. Finding the K Shortest Loopless Paths in a Network , 2007 .
[61] Jun Wang,et al. High-Latitude Ionospheric Irregularity Drift Velocity Estimation Using Spaced GPS Receiver Carrier Phase Time–Frequency Analysis , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[62] Jeffrey Short,et al. Development of Algorithms to Convert Large Streams of Truck GPS Data into Truck Trips , 2015 .
[63] Stephen Graham Ritchie,et al. TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES , 1993 .
[64] Matthias Winkenbach,et al. Design and evaluation of a multi-trip delivery model with truck and drones , 2020, Transportation Research Part E: Logistics and Transportation Review.
[65] Hjp Harry Timmermans,et al. Spatial Environmental Analysis on the Effects of a New Navigation System for Freight Transport , 2012 .
[66] J. Henna. Estimation of the number of components of finite mixtures of multivariate distributions , 2005 .
[67] Tetsuro Hyodo,et al. Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator , 2019, Journal of Transport Geography.
[68] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[69] Petros A. Ioannou,et al. Personalized Pareto-improving pricing-and-routing schemes for near-optimum freight routing: An alternative approach to congestion pricing , 2019, Transportation Research Part C: Emerging Technologies.
[70] Xiaokun Wang,et al. Truck freight demand elasticity with respect to tolls in New York State , 2017 .
[71] Bon-Gang Hwang,et al. A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice , 2019, Sustainability.
[72] Gabriel Valdez,et al. Identifying optimal Truck freight management strategies through urban areas: Case study of major freight corridor near US-Mexico border , 2020, Research in Transportation Business & Management.
[73] George Yannis,et al. Characteristics and causes of heavy goods vehicles and buses accidents in Europe , 2016 .
[74] A. Pluchino,et al. Integrating discrete choice models and agent-based models for ex-ante evaluation of stakeholder policy acceptability in urban freight transport , 2017 .
[75] Jeffrey Short,et al. Estimation of Statewide Origin-Destination Truck Flows Using Large Streams of GPS Data: An Application for the Florida Statewide Model , 2015 .
[76] Hai Yang,et al. Sensitivity analysis for the elastic-demand network equilibrium problem with applications , 1997 .
[77] Ziyou Gao,et al. Identifying intercity freight trip ends of heavy trucks from GPS data , 2021, Transportation Research Part E: Logistics and Transportation Review.
[78] Qinglan Li,et al. Dramatic uneven urbanization of large cities throughout the world in recent decades , 2020, Nature Communications.
[79] Lei Shi,et al. A Compressive Sensing-Based Approach to End-to-End Network Traffic Reconstruction , 2020, IEEE Transactions on Network Science and Engineering.
[80] M. O. Lorenz,et al. Methods of Measuring the Concentration of Wealth , 1905, Publications of the American Statistical Association.
[81] Yan Wang,et al. Impacts of Freight Transport on PM2.5 Concentrations in China: A Spatial Dynamic Panel Analysis , 2018, Sustainability.
[82] Daisuke Fukuda,et al. Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling , 2019, Transportation Research Part E: Logistics and Transportation Review.
[83] Zhongwei Deng,et al. Deriving Rules for Trip Purpose Identification from GPS Travel Survey Data and Land Use Data: A Machine Learning Approach , 2010 .
[84] Geoff Boeing,et al. OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks , 2016, Comput. Environ. Urban Syst..
[85] Rongge Guo,et al. Comprehending and Analyzing Multiday Trip-Chaining Patterns of Freight Vehicles Using a Multiscale Method with Prolonged Trajectory Data , 2020 .
[86] Tias Guns,et al. Monitoring Urban-Freight Transport Based on GPS Trajectories of Heavy-Goods Vehicles , 2019, IEEE Transactions on Intelligent Transportation Systems.
[87] Danijel Mlinarić,et al. Environmental responsibility of Croatian road freight transport enterprises , 2020 .
[88] Agnivesh Pani,et al. Modelling non-response in establishment-based freight surveys: A sampling tool for statewide freight data collection in middle-income countries , 2019, Transport Policy.
[89] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[90] Agachai Sumalee,et al. Statistical estimation of freight activity analytics from Global Positioning System data of trucks , 2020 .
[91] M. Trosset,et al. Identifiability of two‐component skew normal mixtures with one known component , 2017, Scandinavian Journal of Statistics.
[92] Patrick Weber,et al. OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.
[93] K. Axhausen,et al. Inferring commercial vehicle activities in Gauteng, South Africa , 2011 .
[94] Miguel A. Figliozzi,et al. Collecting Commercial Vehicle Tour Data with Passive Global Positioning System Technology , 2008 .