Investigating car users' attitudes to climate change using multiple correspondence analysis

Ali, Fazilatulaili; Dissanayake, Dilum; Bell, Margaret; Farrow, Malcolm

doi:10.1016/j.jtrangeo.2018.09.007

Cited by 33 publications

(13 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is unique in describing the patterns geometrically by locating each variable as a point in a low-dimensional space and the variables distributed along the dimensions. The closer the distance between points represented in space, the more similar the categories become in distribution [36]. However, MCA is considered as an exploratory tool for a dataset; it can be a very useful technique that helps to reveal groupings of variable categories in the dimensional spaces, providing key insight into relationships between them.…”

Section: Multiple Correspondence Analysis (Mca)mentioning

confidence: 99%

Determinants of Solid Fuel Use and Emission Risks among Households: Insights from Limpopo, South Africa

Adeeyo

Edokpayi

Volenzo

et al. 2022

Toxics

View full text Add to dashboard Cite

Emissions from residential solid fuels reduce ambient air quality and cause indoor air pollution resulting in adverse human health. The traditional solid fuels used for cooking include coal, straws, dung, and wood, with the latter identified as the prevalent energy source in developing countries. Emissions from such fuel sources appear to be significant hazards and risk factors for asthma and other respiratory diseases. This study aimed at reporting factors influencing the choice of dominant solid fuel for cooking and determine the emission risk from such solid fuel in three villages of Phalaborwa, Limpopo province, South Africa. The study used descriptive analysis to show the relationship between the socio-economic variables and the choice of cooking fuel at the household level. Multiple correspondence analysis (MCA) was used further to detect and represent underlying structures in the choice of dominant fuels. MCA shows the diversity and existing relationship of how variables are related analytically and graphically. Generalised linear logistic weight estimation procedure (WLS) was also used to investigate the factors influencing choice of fuel used and the inherent emission risks. In the three villages, wood was the prevalent cooking fuel with 76.8% of participant households using it during the summer and winter seasons. Variables such as low monthly income, level of education, and system of burning are revealed as strong predictors of wood fuel usage. Moreover, income, water heating energy, types of wood, and number of cooking hours are significant (p ≤ 0.05) in influencing emission from wood fuel in the community. A notable conclusion is that variables such as income, education status and system of burning are determinants of wood fuel usage in the three villages, while income, water heating energy, types of wood and number of hours influence vulnerability to household emission and possible health risks in the use of solid energy sources.

show abstract

Section: Multiple Correspondence Analysis (Mca)mentioning

confidence: 99%

Determinants of Solid Fuel Use and Emission Risks among Households: Insights from Limpopo, South Africa

Adeeyo

Edokpayi

Volenzo

et al. 2022

Toxics

View full text Add to dashboard Cite

show abstract

“…To evaluate the actual time performance of the 112 international construction project, data analysis techniques combining MCA and ANOVA were adopted. Widely used in social science studies, MCA can be viewed as principal component analysis applied to the complete disjunctive table formed from a set of nominal categorical data to detect and represent its underlying structure (Ali et al, 2018). Associations between the variables were measured by calculating the chi-square distance, allowing highdimensional data to be visualized in a low-dimensional (normally two-dimensional) Euclidean space (Richards & van der Ark, 2013).…”

Section: Data Analysis Techniquesmentioning

confidence: 99%

How to Get International Construction Projects Delivered on Time: From Chinese Contractors’ Perspective

Hongxin

Tang

Duffield

et al. 2022

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

67.9% of Chinese international construction projects are seriously delayed, which creates the potential for instability in its rapidly growing share of global contracting markets. A greater understanding of the reasons behind the challenges confronting international contractors is urgently required such that improvements can be developed that ultimately will benefit many countries. This study aims to investigate the time performance of international projects in developing countries and to explore the root causes of time overrun. Based on both quantitative and qualitative analysis of 112 case study projects, collected from 12 of the largest Chinse state-owned enterprises (SOEs), this study identifies the distinctive characteristics of three types of projects (late, acceptable, early) classified based on their time performances. It is established that time performance is significantly related to the contractor’s adaptability and project complexity. The results reveal the root causes of construction delays in international project delivery, which provides a structured and in-depth understanding of both internal and external time performance influential factors. The above findings provide sound basis for guiding practitioners in choosing appropriate strategies to improve project time performance, such as encouraging cross-cultural dialogues, integrating global resources and establishing long-term global partnerships with stakeholders.

show abstract

“…Correspondence analysis, an unsupervised machine learning method, can explore two-way and multi-way tables that contain association between the rows and columns from datasets with a wide range of categorical variables. Many recent transportation engineering studies (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) have applied dimension-reduction methods to solve engineering problems. Cluster correspondence analysis, a variant of the correspondence analysis framework, utilizes both dimension reduction and cluster analysis for nominal data.…”

Section: Cluster Correspondence Analysismentioning

confidence: 99%

Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes

Das¹,

Sun

Dadashova³

et al. 2021

Transportation Research Record

View full text Add to dashboard Cite

Sun glare is one of the major environmental issues contributing to traffic crashes. Every year, many traffic crashes in the United States are attributed to sun glare. However, quantitative analysis of the influence of sun glare on traffic crashes has not been widely undertaken. This study used traffic crash narrative data for 7 years (2010–2016) from Louisiana to identify crash reports that provided evidence of drivers indicating sun glare as the primary contributing factor of the crashes. Additional geometry and traffic information was collected to identify the list of key crash-contributing factors. This study used cluster correspondence analysis to perform the data analysis. After performing several iterations, six clusters were identified that provided additional insight in relation to sun glare-related crashes. The six clusters are associated with mixed (business and residential) localities, intersection-related crashes on U.S. roadways, single-vehicle crashes on residential two-lane undivided roadways, curve-related crashes on parish roadways in residential localities, interstate-related crashes in open country localities, and curve-related crashes in open country localities. The findings of the current study can add insights to the ongoing safety analysis on sun glare-related crashes.

show abstract

Investigating car users' attitudes to climate change using multiple correspondence analysis

Cited by 33 publications

References 30 publications

Determinants of Solid Fuel Use and Emission Risks among Households: Insights from Limpopo, South Africa

Determinants of Solid Fuel Use and Emission Risks among Households: Insights from Limpopo, South Africa

How to Get International Construction Projects Delivered on Time: From Chinese Contractors’ Perspective

Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes

Contact Info

Product

Resources

About