Urban green infrastructure is significant for building sustainable and resilient cities. Urban green infrastructure provides various benefits on climate mitigation, public health, water and air quality improvement, and energy saving. Commonly used urban green infrastructure includes residential landscaping, green corridors, green roofs and walls, and urban parks using a combination of trees and other vegetation. Various geospatial techniques have been utilized to improve the design and placement of green infrastructure within the heterogeneous urban landscape including spatial analytics (Zhang, Murray, and Turner 2017; Zhao, Wentz, and Murray 2017) and street-level images (Li et al. 2015; Li, Ratti, and Seiferling 2018). The questions that remain are how to thoroughly evaluate the current status of urban green infrastructures, study the interactions between humanity and green infrastructures, and explore methods to maximize their overall social and ecological benefits.
We would like to invite submissions on conceptual, methodological and empirical explorations, achievements and contributions to discuss the topics around urban green infrastructure. We welcome papers (including ones demonstrating significant works in progress) pertaining to any issues of the urban green infrastructure. Topics may include but are not limited to:
• Planning and design of urban green infrastructure for sustainable cities;
• Geospatial technologies in green infrastructure management;
• Green infrastructure and climate modeling;
• Green infrastructure and public health;
• Green infrastructure and ecosystem services;
• Green infrastructure and crime;
• Spatial accessibility of green infrastructure;
• Green infrastructure and property value.
To present your research in our sessions, please submit your abstract through AAG website (www.aag.org/cs/annualmeeting/register) and send your PIN to the session organizers by October 25, 2017.
Qunshan Zhao (Arizona State University; email@example.com)
Xiaojiang Li (Massachusetts Institute of Technology; firstname.lastname@example.org)
Yujia Zhang (Arizona State University; Yujia.Zhang@asu.edu)
Spatial analysis and modeling specialty group
Remote sensing specialty group
Climate specialty group
Li, X., C. Ratti, and I. Seiferling. 2018. Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View. Landscape and Urban Planning 169:81–91.
Li, X., C. Zhang, W. Li, R. Ricard, Q. Meng, and W. Zhang. 2015. Assessing street-level urban greenery using Google Street View and a modified green view index. Urban Forestry & Urban Greening 14 (3):675–685.
Zhang, Y., A. T. Murray, and B. L. Turner. 2017. Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona. Landscape and Urban Planning 165:162–171.
Zhao, Q., E. A. Wentz, and A. T. Murray. 2017. Tree shade coverage optimization in an urban residential environment. Building and Environment 115:269–280.
|Presenter||Fang Fang*, West Virginia University, Brenden McNeil, West Virginia University, Gregory Dahle, West Virginia University, Remote sensing of urban tree stress and tree species in Washington D.C.||20||1:20 PM|
|Presenter||Corrine Armistead*, Earth Economics, Data Creation for Equitable Green Infrastructure: Approaches to Participatory Mapping||20||1:40 PM|
|Presenter||Yi Wang*, , Urban green space effects on PM2.5 reduction and human health in Shenzhen city, China||20||2:00 PM|
|Presenter||Ariane Middel*, Temple University, Jonas Lukasczyk, University of Kaiserslautern, Sophie Zakrzewski, University of Kaiserslautern, Michael Arnold, TerraLoupe, Ross Maciejewski, Arizona State University, Urban Form and Composition of Street Canyons: A Human-Centric Big Data and Deep Learning Approach||20||2:20 PM|
|Presenter||Yujia Zhang*, , Ariane Middel, Arizona State University, B.L. Turner II, Arizona State University, Evaluating the effects of vertical urban forms on land surface temperature using Google Street View images||20||2:40 PM|
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