1,720,992 research outputs found
Supplemental Material - Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA
No full textSupplemental Material for Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA by Aynaz Lotfata, George Grekousis and Ruoyu Wang in Environment and Planning B: Urban Analytics and City Science</p
sj-docx-1-trr-10.1177_03611981231197647 – Supplemental material for Using Spatial Modeling for Identifying Determinants Influencing Crash Estimate: Case Study of Hamedan, Iran
No full textSupplemental material, sj-docx-1-trr-10.1177_03611981231197647 for Using Spatial Modeling for Identifying Determinants Influencing Crash Estimate: Case Study of Hamedan, Iran by Seyed Ahmadreza Almasi, Amir Reza Bakhshi Lomer, Hassan Khaksar and Aynaz Lotfata in Transportation Research Record</p
The role of sociocultural practices in the transformation and re-structuring of streets: A case study of Bağdat Street in Istanbul
No full textUrban space, as a sociocultural phenomenon, is (re)constructed as a result of changes in the contextual attributes, from global to local scales. Contemporary urban spaces are involved in inter- disciplinary development and transformation aimed at creating a living, resistant and inclusive place. The large Turkish cities should take advantage of the inter-disciplinary development with the increasing complexity of socio-economic and spatial relations. This study hypothesizes that the sociocultural reality of urban space is constructed over time, and that the interaction of numerous attributes at various scales, including local, national and global, contribute to the reconstruction of space as a social place. It further suggests that this can only be understood through an extraction of varying attributes and their relationship to each other that identify different historical periods in which the transformation and reconstruction of urban space took place. To this end, three major research questions are posed: (1) What are the shared conceived attributes of Bağdat Street within a historical perspective? (2) Which shared conceived attributes of Bağdat Street have been handed down from 1923 to the present day and contributed to the construction, re-construction and/or transformation of the street? (3) What socio-political and spatial relations may have prepared the context for those attributes to settle as the part of the street culture? This exploratory-descriptive research follows a case study approach, given its suitability as a methodology in holistic-historical and in-depth investigations. The case study was made around Bağdat Street in Kadiköy, Istanbul, where in-depth interviews with people who are familiar with past events and the history of the street permitted the gathering of a large quantity of relevant data. A Fuzzy Cognitive Map technique was then applied to analyze the mass of data, from which the answers to the questions posed in the study could be drawn. The findings of the thesis reveal that sociocultural structure is a relationally constructed reality; and that multiple scales, dynamics and attributes collaborate in the construction of the social context. Accordingly, the study has uncovered that the relationally constructed place is a resistant and inclusive space
Integrating Multifunctionality Framework for Planning Emergency Open Public Spaces in High-Density Urban Areas: Lessons from COVID-19 Pandemic
No full textIntegrating Multifunctionality Framework for Planning Emergency Open Public Spaces in High-Density Urban Areas: Lessons from COVID-19 Pandemic
No full textEvaluating solar power plant sites using integrated GIS and MCDM methods: a case study in Kermanshah Province
No full textAbstract This study utilizes an integrated Geographic Information System (GIS)-based Multi-Criteria Decision-Making (MCDM) approach to perform Solar Power Plant Site Selection (SPPSS) in Kermanshah Province, Iran. It introduces a novel group weighting method, the Dempster-based Best-Worst Method (DBWM), which combines weights vectors derived from experts’ opinions. The study also conducts a comprehensive sensitivity analysis comparing four GIS-based models for SPPSS. Findings indicate that the Inverse Distance Weighted (IDW) method is the most precise for interpolation, which was subsequently applied in the analysis. Results demonstrate that the GIS-based DBWM-Technique for Order Preference by Similarity to Ideal Solution (GIS-based DBWM-TOPSIS) model is the most stable, identifying slope as the primary criterion for SPPSS. Based on this model, 3% of the area is classified as very low suitability, 9% as low, 24% as moderate, 33% as high, and 31% as very high suitability. The study highlights the substantial impact of selecting appropriate spatial analysis techniques and uses normalization to standardize input criteria with varied units and ranges, enhancing comparability within the MCDM process. Eslamabad-e Gharb, Kangavar, and Gilan-e Gharb counties emerged as the most suitable locations for solar power plant (SPP) development
A Geographical Analysis of Socioeconomic and Environmental Drivers of Physical Inactivity in Post Pandemic Cities: The Case Study of Chicago, IL, USA
No full textThe pandemic’s lockdown has made physical inactivity unavoidable, forcing many people to work from home and increasing the sedentary nature of their lifestyle. The link between spatial and socio-environmental dynamics and people’s levels of physical activity is critical for promoting healthy lifestyles and improving population health. Most studies on physical activity or sedentary behaviors have focused on the built environment, with less attention to social and natural environments. We illustrate the spatial distribution of physical inactivity using the space scan statistic to supplement choropleth maps of physical inactivity prevalence in Chicago, IL, USA. In addition, we employ geographically weighted regression (GWR) to address spatial non-stationarity of physical inactivity prevalence in Chicago per census tract. Lastly, we compare GWR to the traditional ordinary least squares (OLS) model to assess the effect of spatial dependency in the data. The findings indicate that, while access to green space, bike lanes, and living in a diverse environment, as well as poverty, unsafety, and disability, are associated with a lack of interest in physical activities, limited language proficiency is not a predictor of an inactive lifestyle. Our findings suggest that physical activity is related to socioeconomic and environmental factors, which may help guide future physical activity behavior research and intervention decisions, particularly in identifying vulnerable areas and people
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