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Full-Text Articles in Social and Behavioral Sciences

Exploring Micro-Scale Spatiotemporal Dynamics Of Restaurant Entrepreneurship With Public Open Data, Chanwoo Jin, Alan T. Murray Dec 2021

Exploring Micro-Scale Spatiotemporal Dynamics Of Restaurant Entrepreneurship With Public Open Data, Chanwoo Jin, Alan T. Murray

International Journal of Geospatial and Environmental Research

Commercial activities within a city have competed to attract people, and the interactions between these activities have affected urban dynamics. Among many services, the restaurant business accounts for a significant portion of the urban economy, with spatiotemporal variations in survivability reflecting crucial signs of changes in urban structure. This study aims to identify the patterns of spatiotemporal changes in restaurants locations to deepen our understanding of urban dynamics. Studies have utilized a variety of data sources, including social media and consumer review services, but they cover relatively short periods and focus on currently operating businesses. Public open data, however, offers …


Mapping For Indoor Walking Environment From Point Clouds By Using Mobile Mapping Systems, Nurfadhilah Ruslan, Nabilah Naharudin, Abdul Hakim Salleh, Maisarah Abdul Halim, Zulkiflee Abd Latif Jun 2021

Mapping For Indoor Walking Environment From Point Clouds By Using Mobile Mapping Systems, Nurfadhilah Ruslan, Nabilah Naharudin, Abdul Hakim Salleh, Maisarah Abdul Halim, Zulkiflee Abd Latif

International Journal of Geospatial and Environmental Research

Walkability is one of the issues to be addressed in the planning of smart urban cities. Although, there is a substantial amount of studies on outdoor walking pedestrian, limited study has been done to address indoor walkability. Recently, most of the pedestrians are likely to use indoor route than outdoor route to protect themselves from sun and rain as most of the indoor routes are located on the buildings such as shopping mall and rail transit station. Therefore, it important to collect all the relevant information in the indoor building to addressed the walkability issues. The GeoSLAM ZEB REVO scanner …


Geographical Counterpoint To Choreographic Information Based On Approaches In Giscience And Visualization, Hyowon Ban, Ola Ahlqvist Oct 2020

Geographical Counterpoint To Choreographic Information Based On Approaches In Giscience And Visualization, Hyowon Ban, Ola Ahlqvist

International Journal of Geospatial and Environmental Research

This study provides geographical counterpoint to existing knowledge of a dance piece through approaches from GIScience and visualization by focusing on spatio-temporal movement of dancers in a large dataset of the dance. The goal of this study is to introduce a new application to bridging art and science in the domain of dance and geography disciplines. The study utilizes existing methodologies in GIScience, including exploratory spatial data analysis (ESDA), spatial analysis, Relative Motion (REMO) analysis, and Qualitative Trajectory Calculus (QTC) analysis for the reasoning of the dance data. The results of the study demonstrate the following. First, spatio-temporal information in …


A Comparison Of Network Clustering Algorithms In Keyword Network Analysis: A Case Study With Geography Conference Presentations, Youngho Lee, Yubin Lee, Jeong Seong, Ana Stanescu, Chul Sue Hwang Jul 2020

A Comparison Of Network Clustering Algorithms In Keyword Network Analysis: A Case Study With Geography Conference Presentations, Youngho Lee, Yubin Lee, Jeong Seong, Ana Stanescu, Chul Sue Hwang

International Journal of Geospatial and Environmental Research

The keyword network analysis has been used for summarizing research trends, and network clustering algorithms play important roles in identifying major research themes. In this paper, we performed a comparative analysis of network clustering algorithms to find out their performances, effectiveness, and impact on cluster themes. The AAG (American Association for Geographers) conference datasets were used in this research. We evaluated seven algorithms with modularity, processing time, and cluster members. The Louvain algorithm showed the best performance in terms of modularity and processing time, followed by the Fast Greedy algorithm. Examining cluster members also showed very coherent connections among cluster …


Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian Jul 2020

Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian

International Journal of Geospatial and Environmental Research

This paper examines a triple threat for residents of two counties in the St. Louis metropolitan area. Previous environmental justice research has focused on demographics and toxic facilities. This research builds upon those assessments by incorporating hospital discharge data and demographics as well as three different types of pollution sources. Air pollution monitors were unavailable to use during the time period of 2009-2011, therefore proxy measures of pollution in the form of major roadways, industrial land use parcels, and toxic facility information from the EPA Toxic Release Inventory are utilized. This study integrates both spatial coincidence and proximity analysis methods …


A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang Jun 2020

A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang

International Journal of Geospatial and Environmental Research

Vulnerability assessments are implemented to identify regions and groups at risk and factors that need to be addressed to reduce vulnerability. Existing assessments have allowed multidimensional factors to be examined in various settings and adopted complex models to simulate human-environment-weather interactions. However, these models are far less accessible than traditional models due to model abstraction and there has been limited research detailing a formalized way to simulate the interactions between rural households and external changes in response to a specific extreme weather event. To supplement applied efforts in vulnerability assessments and address the challenge in communicating agent-based models, this study …


Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou May 2020

Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou

International Journal of Geospatial and Environmental Research

This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.


Enhancing Equity In Public Transportation Using Geographic Information Systems And Spatial Optimization, Ho-Seop Cha, Alan T. Murray Feb 2020

Enhancing Equity In Public Transportation Using Geographic Information Systems And Spatial Optimization, Ho-Seop Cha, Alan T. Murray

International Journal of Geospatial and Environmental Research

Public transportation is a vital part of urban living. For instance, public transportation services help reduce road congestion, oil consumption and air pollution, and they serve people who need to travel throughout urban environments at the same time do not have access to private vehicles. The latter aspect is an important matter of social justice. Therefore, it is important to understand why the interest in equity in transport is growing, why public transportation should favor the transport disadvantaged, and why analyses of equity measurement and improvement are needed. Measuring the level of access to public transportation among the transport disadvantaged …


Using Gis And Remote Sensing To Map Grassroots Sustainable Development For A Small Ngo In Nepal, Suzanne C. Walther, Elizabeth M. Dengenis, Krishna Gurung Jan 2019

Using Gis And Remote Sensing To Map Grassroots Sustainable Development For A Small Ngo In Nepal, Suzanne C. Walther, Elizabeth M. Dengenis, Krishna Gurung

International Journal of Geospatial and Environmental Research

Geographic information systems, through analysis and visualizations, can aid in pursuing and improving sustainable development. Thousands of Non-Governmental Organizations (NGOs) in developing countries provide a wide range of services and local organizations with fewer resources must often be more efficient to offer their services effectively. The accessibility of spatial data for assessment and, in turn, improved planning could enable these organizations to increase efficiency, thereby maximizing aid and sustainable development, as well as the number of people helped in a variety of ways. Focusing on mapping outreach and quantifying land use for a locally run NGO in Nepal, this study …


Implications Of Dam Removal: Modeling Streamflow In Lansing, Michigan Using The Soil And Water Assessment Tool, Ryan J. Filbin, Laiyin Zhu, Lisa Dechano-Cook, Lei Meng Jan 2019

Implications Of Dam Removal: Modeling Streamflow In Lansing, Michigan Using The Soil And Water Assessment Tool, Ryan J. Filbin, Laiyin Zhu, Lisa Dechano-Cook, Lei Meng

International Journal of Geospatial and Environmental Research

This paper uses hydrologic modeling methods to determine the effects of dam removal in Lansing, Michigan, on the streamflow of the Grand River, flooding risks, and flood mitigation strategies. In Michigan, more than one-half of the state’s dam infrastructure is more than 50 years old, and more than one-third are classified as having a moderate-to high-risk potential. Lansing, Michigan, contains two moderate-to high-risk dams along the Grand River that are a significant hazard to the surrounding community in the event of structural failure. This research utilizes the Soil and Water Assessment Tool (SWAT) to model the impacts of the Moores …


Accuracy Evaluation Of The Canadian Openstreetmap Road Networks, Hongyu Zhang, Jacek Malczewski Jun 2018

Accuracy Evaluation Of The Canadian Openstreetmap Road Networks, Hongyu Zhang, Jacek Malczewski

International Journal of Geospatial and Environmental Research

Volunteered geographic information (VGI) has been applied in many fields such as participatory planning, humanitarian relief and crisis management. One of the reasons for popularity of VGI is its cost-effectiveness. However, the coverage and accuracy of VGI cannot be guaranteed. The issue of geospatial data quality in the OpenStreetMap (OSM) project has become a trending research topic because of the large size of the dataset and the multiple channels of data access. This paper focuses on a national study of the Canadian OSM road network data for the assessment of completeness, positional accuracy, attribute accuracy, semantic accuracy and lineage. The …


Measuring Spatial Health Disparity Using A Network-Based Accessibility Index Method In A Gis Environment: A Case Study Of Hillsborough County, Florida, Huairen Ye, Hyun Kim Jun 2014

Measuring Spatial Health Disparity Using A Network-Based Accessibility Index Method In A Gis Environment: A Case Study Of Hillsborough County, Florida, Huairen Ye, Hyun Kim

International Journal of Geospatial and Environmental Research

In recent decades, the health care delivery system in the United States has been greatly transformed and more widely examined. Even with one of the most developed health care systems in the world, the United States still experiences great spatial disparity in health care access. Increasing diversity of class, culture, and ethnicity also has a significant impact on health disparity. The goal of this paper is to address the spatial disparity of health care access using a network-based health accessibility index method (NHAIM) in a Geographic Information System (GIS) environment. Ensuring a desired level of accessibility for patients is the …