Geospatial Analysis and Modeling

Geospatial Analysis for Transportation Research

4106.2 - A multi-factor GIS method to identify optimal geographic locations for electric vehicle (EV)

Tuesday, July 4
8:50 AM - 9:10 AM
Location: Maryland A

Fuel-based transportation is one of the major contributors to poor air quality in the United States. Electric Vehicle (EV) is potentially the cleanest transportation technology to our environment. This research developed a spatial suitability model to identify optimal geographic locations for installing EV charging stations for travelling public. The model takes into account a variety of positive and negative factors to identify prime locations for installing EV charging stations in Wasatch Front, Utah, where automobile emission causes severe air pollution due to atmospheric inversion condition near the valley floor. A walkable factor grid was created to store index scores from input factor layers to determine prime locations. 27 input factors including land use, demographics, employment centers etc. were analyzed. Each factor layer was analyzed to produce a summary statistic table to determine the site suitability. Potential locations that exhibit high EV charging usage were identified and scored. A hot spot map was created to demonstrate high, moderate, and low suitability areas for installing EV charging stations. A spatially well distributed EV charging system was then developed, aiming to reduce “range anxiety” from traveling public. This spatial methodology addresses the complex problem of locating and establishing a robust EV charging station infrastructure for decision makers to build a clean transportation infrastructure, and eventually improve environment pollution.

Yongqin Zhang

Professor
Delta State University

Dr.Yongqin Zhang is an assistant professor and the director of the master program in Geospatial Information Technologies at the Department of Biological Science, Delta State University. She has been doing various research projects using remote sensing and geospatial technologies in vegetation (forests, grasslands, and crops), urban, environment, and wild life habitat analysis. She has published over 30 peer-reviewed journal papers, 7 book chapters and many government reports. She has advised over 50 master students.

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Kory Iman

GIS Administrator
Mountainland Association of Government

Mr. Kory Iman currently is a master student in the Master of Applied Science in Geospatial Information Technologies at the Department of Biological Sciences, Delta State University. He also works at the Mountainland Association of Governments, Utah. He has been using GIS for transportation analysis and various projects.

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Bin Jiang

Professor
University of Gavle

Dr. Bin Jiang is Professor at Faculty of Engineering and Sustainable Development of the University of Gävle, Sweden. His research interests center on geospatial analysis of urban structure and dynamics, e.g., topological analysis, scaling hierarchy, and agent-based modeling applied to buildings, streets, and cities, or geospatial big data in general. He developed Axwoman for topological analysis (http://fromto.hig.se/~bjg/axwoman/), and head/tail breaks for scaling analysis (https://en.wikipedia.org/wiki/Head/tail_Breaks). Inspired by Christopher Alexander’s work, he developed a mathematical model of beauty – beautimeter, which helps address not only why a design is beautiful, but also how much beauty the design has.

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