Zhong-ren Peng 
- (2023): Quantifying the effects of urban fabric and vegetation combination pattern to mitigate particle pollution in near-road areas using machine learning. In: Sustainable Cities and Society, v. 93 (June 2023).
- (2022): Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring. In: Building and Environment, v. 219 (July 2022).
- (2022): Spatial distributions of particulate matter in neighborhoods along the highway using unmanned aerial vehicle in Shanghai. In: Building and Environment, v. 211 (March 2022).
- (2022): Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements. In: Sustainable Cities and Society, v. 78 (March 2022).
- (2022): Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources. In: Sustainable Cities and Society, v. 78 (March 2022).
- (2022): Prediction of air pollutants on roadside of the elevated roads with combination of pollutants periodicity and deep learning method. In: Building and Environment, v. 207 (January 2022).
- (2015): Identification and Prioritization of Critical Transportation Infrastructure: Case Study of Coastal Flooding. In: Journal of Transportation Engineering, v. 141, n. 3 (March 2015).
- (2021): Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements. In: Building and Environment, v. 206 (December 2021).
- (2021): Spatiotemporal analysis of pedestrian exposure to submicron and coarse particulate matter on crosswalk at urban intersection. In: Building and Environment, v. 204 (October 2021).
- (2021): Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China. In: Building and Environment, v. 205 (November 2021).
- (2021): Characterizing spatiotemporal distributions of black carbon and PM2.5 at a toll station: Observations on manual and electronic toll collection lanes. In: Building and Environment, v. 199 (July 2021).
- (2015): LandSys II: Agent-Based Land Use–Forecast Model with Artificial Neural Networks and Multiagent Model. In: Journal of Urban Planning and Development, v. 141, n. 4 (December 2015).
- (2017): Modeling Land-Use Change and Population Relocation Dynamics in Response to Different Sea Level Rise Scenarios: Case Study in Bay County, Florida. In: Journal of Urban Planning and Development, v. 143, n. 3 (September 2017).
- (2020): Hierarchical Linear Model for Investigating Effect of Built Environment on Bus Transit. In: Journal of Urban Planning and Development, v. 146, n. 2 (June 2020).
- (2015): Timetable optimization for single bus line based on hybrid vehicle size model. In: Journal of Traffic and Transportation Engineering (English Edition), v. 2, n. 3 (June 2015).
- (2021): Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China. In: Building and Environment, v. 194 (May 2021).
- (2021): Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations. In: Building and Environment, v. 187 (January 2021).
- (2020): Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. In: Building and Environment, v. 172 (April 2020).
- (2019): Assessing neighborhood air pollution exposure and its relationship with the urban form. In: Building and Environment, v. 155 (May 2019).
- (2019): Investigating the relationship between air pollution variation and urban form. In: Building and Environment, v. 147 (January 2019).
- (2018): Fine-scale variations in PM2.5 and black carbon concentrations and corresponding influential factors at an urban road intersection. In: Building and Environment, v. 141 (August 2018).
- (2013): Modeling probabilistic traffic breakdown on congested freeway flow. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 40, n. 10 (October 2013).
- (2012): Real-time travel time predictor for route guidance consistent with driver behavior. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 39, n. 10 (October 2012).
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