Tianjun Lu
Title
Cited by
Cited by
Year
Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA
T Lu, A Mondschein, R Buehler, S Hankey
Transportation Research Part D: Transport and Environment 63, 244-260, 2018
152018
Spatial models of active travel in small communities: merging the goals of traffic monitoring and direct-demand modeling
S Hankey, T Lu, A Mondschein, R Buehler
Journal of Transport & Health 7, 149-159, 2017
152017
Designing a bicycle and pedestrian traffic monitoring program to estimate annual average daily traffic in a small rural college town
T Lu, R Buehler, A Mondschein, S Hankey
Transportation research part D: transport and environment 53, 193-204, 2017
152017
Designing a Bicycle and Pedestrian Traffic Monitoring Program to Estimate Annual Average Daily Traffic in a Small Rural College Town
T Lu, R Buehler, A Mondschein, S Hankey
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
152017
Combining expert and crowd-sourced training data to map urban form and functions for the continental US
M Demuzere, S Hankey, G Mills, W Zhang, T Lu, B Bechtel
Scientific data 7 (1), 1-13, 2020
82020
Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data
T Lu, J Lansing, W Zhang, MJ Bechle, S Hankey
Science of The Total Environment 677, 131-141, 2019
52019
Merging traffic monitoring and direct-demand modeling to assess spatial patterns of annual average daily bicycle and pedestrian traffic
S Hankey, T Lu, A Mondschein, R Buehler
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
22017
Designing a Bicycle and Pedestrian Traffic Count Program to Estimate Performance Measures on Streets and Sidewalks in Blacksburg, VA
S Hankey, T Lu, AS Mondschein, R Buehler
Mid-Atlantic Transportation Sustainability University Transportation Center, 2016
12016
Improving satellite-based estimation of surface ozone across China during 2008–2019 using iterative random forest model and high-resolution grid meteorological data
G Chen, J Chen, G Dong, B Yang, Y Liu, T Lu, Y Pei, Y Guo, S Li
Sustainable Cities and Society 69 (102807), 2021
2021
CONUS-wide LCZ map and Training Areas
W Zhang, T Lu
Ghent University, 2020
2020
External Validation of National Land Use Regression Models for PM2. 5 Using a Low-cost Sensor Network
T Lu, Y Wan, M Bechle, A Presto, S Hankey
Environmental Epidemiology 3, 251, 2019
2019
Leveraging Google Place of Interest (POI) Data, Crowdsourcing, and Machine Learning to Predict Urban NO2 Concentrations for the Contiguous US
T Lu, W Zhang, S Hankey
ISEE Conference Abstracts 2018 (1), 2018
2018
Incorporating Area Emission Sources in Land Use Regression Models of Volatile Organic Compounds
T Lu, S Hankey
ISEE Conference Abstracts, 2018
2018
Bicycle and Pedestrian Traffic Monitoring and AADT Estimation in a Small Rural College Town
T Lu
Virginia Tech, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–14