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This study aims to analyze the complexities of the Brazilian soybean supply chain (SSC) and develop strategic interventions to improve the origin system’s performance.

This study used stakeholder interviews to identify the SSC bottlenecks and determine and assess drivers of competitiveness. A methodological framework based on the systems thinking approach for developing long-term structural changes was used. The problem was structured using behavior over time graph and causal loop modeling to propose three investment strategies to solve the logistics problem in SSC.

This study highlights the gaps in coordination between stakeholders and the public sector regarding the public policy for infrastructure investment. Three strategic interventions were developed to address the agro-industrial logistical problem, namely, investment in storage, multimodal transport systems and improvements in existing transport infrastructure. To overcome transport and storage logistics limitations, the authors suggest different forms of partnerships, including public-private partnerships.

This research is limited to evaluating an agricultural commodity (soybean) and does not include its by-products. The sample of stakeholders was limited and the boundary of analysis was Brazil. Nevertheless, the study showed how strategic interventions could be developed following a holistic analysis.

The proposed integrated approach illustrates the development of three strategic initiatives. It can be implemented by stakeholders, including the public sector, which is the basis for providing assertive long-term investments in Brazilian logistics.

The SSC analysis could promote the implementation of systemically determined interventions and strategies. It could significantly improve the performance of agricultural systems and help the formulation of public policies aimed at rural development.

The use of system dynamics to identify intervention points is an essential contribution to mitigating the SSC’s hindrances. Moreover, the combining methodologies resulted in comprehensive intervention strategies.

This paper aims to examine the gender differences in various measures of travel behavior for a large-sized Indian city, taking into account the existing class differences.

Stratified random sampling technique is used to collect primary data for travel behavior. The collected data is then differentiated on the basis of socioeconomic characteristics and gender. Descriptive statistics are used for analysis.

The findings confirm that, women mostly walk and men use motorized vehicles. With an improvement in socioeconomic status, women switch over to public transport and men continue to ride motorized vehicles. While the number of women making everyday trips declines with a rise in socioeconomic status, the number of men rises.

The study points out at the need for development of an adequate infrastructure of nonmotorized transport and public transport in the city which attends to not only the issue of environmental quality but also of women’s empowerment.

To the best of the authors’ knowledge, this is the first time a comprehensive analysis of differences in travel behavior between men and women on the basis of socioeconomic status is carried out in this region. This analysis will facilitate the policy makers in understanding the inconsistencies in transport demand between the two groups of population.