Dr Nano Langenheim
Sr Lecturer in Landscape Architecture & Urban DSGN
Faculty of Architecture, Building and Planning
35 Scholarly works
4 Projects
HIGHLIGHTS
2026
Journal article
HCI methods supporting urban design evaluation using virtual environments
DOI: 10.1093/iwc/iwaf0142026
Journal article
Heard but not seen: a narrative review of traffic noise impacts and the amenity cost awarded to pedestrians
DOI: 10.1016/j.trip.2025.1017992025
Journal article
Do Trees Really Make a Difference to Our Perceptions of Streets? An Immersive Virtual Environment E-Participation Streetscape Study
DOI: 10.3390/land140918662025
Journal article
Receiver-centric mapping of pedestrian noise annoyance: a cost-effective approach using random forest, psychoacoustic metrics and open-source data
DOI: 10.1016/j.scs.2025.1066512024
Research grants (ARC, NHMRC, MRFF)
30% Tree Canopy but How and Where? A Novel Urban-Forest Digital-Twin
2024
Research contracts (non-grants)
Re-Imagining Streets With Green Infrastructure
2024
Research Contracts
Design Framework to Support Urban Green Infrastructure in the Mitigation of Air Pollution in Transport Corridors of Western Melbourne
RECENT SCHOLARLY WORKS
2024
Journal article
The Governance of Traffic Noise Impacting Pedestrian Amenities in Melbourne Australia: A Critical Policy Review
DOI: 10.3390/ijerph210810802023
Journal article
Walkability Perceptions and Gender Differences in Urban Fringe New Towns: A Case Study of Shanghai
DOI: 10.3390/land120713392023
Journal article
Dark cities or cities of light? – sunlight amenity preservation at whole-city scale using a spatio-temporal decision support approach
DOI: 10.1177/239980832211431202023
Journal article
Informing Streetscape Design with Citizen Perceptions of Safety and Place: An Immersive Virtual Environment E-Participation Method
DOI: 10.3390/ijerph200213412023
Journal article
The Mega-Eco-38 Garden City: Stories of Rewilding and Ecodystopia
DOI: 10.1002/ad.28922023
Conference Proceedings
Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning
DOI: 10.1109/DICTA60407.2023.00027
RECENT PROJECTS
2021
Internal Research Grant
Getting to Yes for Nature-Based Solutions Using Immersive Virtual Environments