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Accessibility of Hatiya, one of the most disaster-prone islands in Bangladesh, has many layers of challenges. Institutional arrangements guide the availability and quality of transports while islanders make travel decisions based on the geophysical character of the estuary and weather. These factors contribute to increasing disaster risks in transportation. The paper assesses accessibility using both primary and secondary data. Semi-structured interview responses helped in determining the Level of Services and Accessibility Indicators and generating Modal Suitability Matrix. Triangulating the findings with existing knowledge on geophysical dynamics and institutional arrangements illustrate, socially and politically constructed anthropogenic process to exacerbate risks arising from exposure to natural hazards in transportation. The supervision and monitoring of operation demand accountability and transparency. Thus, an integrated transport system can reduce disaster risks in the island's accessibility. The system needs to be culturally appropriate and use both technical and non-technical approaches.

A systematic review of the factors associated with pedestrian route choiceA systematic review of the factors associated with pedestrian route choice Transport Reviews · Dec 14, 2021Transport Reviews · Dec 14, 2021 Show publication Pedestrian route choice (PRC) is influenced by a wide range of factors, yet an understanding of the trends, patterns, and findings of PRC research is a gap in the literature. The present study applied the PRISMA framework to systematically identify published studies on PRC. The identified studies were synthesized by answering the systematic classification scheme (SCS) questions. Results show that prior studies have used a total of 105 factors associated with PRC. The identified factors were categorized under three groups (i.e. pedestrian socio-demographic factors, built environment factors, trip characteristics). The findings of this systematic review identified several critical research gaps for studying PRC behaviour. Future PRC research should aim to determine the influence of social, physical, and individual factors associated with PRC and the nature of the relationships of those factors with PRC.

Site-specific weed management (SSWM) may reduce herbicide use by identifying weed patches and weed-free areas. However, one major constraint is robust weed detection algorithms that are able to predict weed infestations outside of the training data. This study investigates the predictive power of regression models trained on drone imagery that are used within fields to predict infestations of annual grass weeds in the late growth stages of cereals. The main objective was to identify the optimum sampling strategy for training regression models based on aerial RGB images. The study showed that training based on sampling from the whole range of weed infestations or the extreme values in the field provided better prediction accuracy than random sampling. Prediction models based on vegetation indices (VIs) offered a useful alternative to a more complex random forest machine-learning algorithm. For binary decision-making, linear regression utilizing weed density information resulted in higher accuracy than a logistic regression approach that only relied on information regarding the presence/absence of weeds. Across six fields, the average balanced accuracy based on linear regression was in the range of 75–83%, with the highest accuracy found when the sampling was from the extreme values in the field, and with the lowest accuracy found for random sampling. For future work on training weed prediction models, choosing training sets covering the entire sample space is recommended in favor of random sampling.

This study aims to address the economic, social, and environmental wellbeing issues simultaneously by measuring the carbon intensity of wellbeing (CIWB) of Asian economies employing Prais-Winsten and pooled OLS estimator. The measure of CIWB is made taking into account a ratio of the two indicators—CO2 emissions per capita and life expectancy at birth. There is a paucity of studies that concentrate on human and social wellbeing indicators (i.e., water, sanitation, life expectancy) together applying the Environmental Kuznets Curve (EKC) hypothesis. Therefore, we have also investigated the EKC hypothesis as this theory hypothesizes the link involving human and environmental wellbeing and development. The findings utilizing the two econometric techniques indicate that in both the estimation models urban population access to an improved water source and total population access to improved water source has consistently negative and significant effects on CIWB. The fertility rate and prevalence of HIV pose no threat to CIWB. These findings demonstrate that social and human wellbeing indicators of the Asian economies are sustainable to this moment as they are lowering CIWB which is desirable. Contrary, GDP per capita, exports as a percent of GDP, and urban population have a significant and positive impact on CIWB which poses a challenge for the sustainability issue. We also have found the existence of the EKC hypothesis indicating environmental quality will increase past a turning point. The findings of the paper are well matched with the view of the “Economic and ecological modernization” theory and “human ecology” theory.

Introduction Studies have shown that perceived security discourages pedestrians from walking, which in turn reduces physical activities and associated health benefits. However, there is a dearth of research about what elements of the built environment contribute to perceived security among pedestrians and, in particular, how the perception varies amongst women and men in suburban environments. The present study aims to address this gap in the literature. Methods A range of scenarios (i.e. more/less diversity of land use, presence/absence of trees) were presented in an online experiment to 995 participants in Brisbane (Australia). Participants reported their perceptions of being assaulted/robbed/harassed in each scenario. Random effects ordered probit models were estimated for men and women to identify the association between perceived security and built environment factors, controlling for other confounders such as age and attitudes. Results Women have a higher perceived risk of being assaulted/robbed/harassed compared with men in all scenarios tested in the present study. Importantly, the results indicated that while residential, commercial, and mixed land use provide a sense of security for pedestrians compared to vacant land, the effect was larger for women compared to men. There were no significant differences between vacant and recreational land use in terms of perceived security. At night, pedestrians perceived suburban environments as insecure, and the change in the level of security was higher for women than men. Also, night time security varied over different land-use types between men and women. Conclusions The findings suggest that targeted urban design practices (e.g., functional use of vacant land, increasing diversity of land use, adequate street lights) could be used to improve perceived security and also reduce gender inequality in security perceptions. In turn, improved perceptions of security can help to increase walking as a mode of transport.