Women's Travel Patterns, Attitudes, and Constraints Around the World

Rosenbloom, Sandra

doi:10.1016/b978-0-08-102671-7.10688-8

Cited by 4 publications

(7 citation statements)

References 43 publications

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“…According to a survey carried out in Mexico City, gender mobility issues are not receiving enough attention in developing countries (26). There is inequity in access to private motorized cars in developing countries, with women having less access than men because of societal standards about women's appropriate travel behavior (24,27). Women's travel patterns are more intricate than men's, and they undertake more household and family support trips, but their mode choice is less flexible, and they use PT to a greater extent, making them captive riders (28,29).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Women's travel patterns are more intricate than men's, and they undertake more household and family support trips, but their mode choice is less flexible, and they use PT to a greater extent, making them captive riders (28,29). By researching women's travel habits in both developed and developing countries around the world, Rosenbloom and Plessis-Fraissard identified two versions of the same story about women's mobility (27). The study found that women, regardless of their socio-economic status, have less access to better or faster transit options and have more diversified and complex travel patterns than men (27).…”

Section: Literature Reviewmentioning

confidence: 99%

“…By researching women's travel habits in both developed and developing countries around the world, Rosenbloom and Plessis-Fraissard identified two versions of the same story about women's mobility (27). The study found that women, regardless of their socio-economic status, have less access to better or faster transit options and have more diversified and complex travel patterns than men (27).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Women have frequently been harassed on PT in developed and developing cultures (27). Women are experiencing harassment in their daily trips, when getting on or off a vehicle, within the vehicle, at stoppages, next to stops, and nearby (37).…”

Section: Literature Reviewmentioning

confidence: 99%

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Women’s Vulnerability on Public Transport

Miti

Prema

Raihan

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Women are moving forward with males across all domains in today’s modern world. However, women are yet to experience the same priority. Public transport (PT) is one of the many areas where they very often encounter challenges. When it comes to regularly using PT, women suffer the most. Even though it is mainly women who are at risk of harassment on PT, policymakers frequently ignore this fact in a male-dominated society. This study’s primary goal is to identify the main factors contributing to women being harassed on PT from a female and male perspective. Additionally, the most vulnerable mode from the viewpoint of harassment and safety measures arising from harassment were examined. This study assessed 1,600 responses from a questionnaire survey with a balanced gender distribution. Results were predicted using the Bayesian belief network (BBN). The study explored the most likely contributing causes to harassment in transportation environments and, notably, the respondents identified a male-dominated culture as the primary source of harassment. Regardless of gender or location, a bus is regarded as the PT mode on which women are most vulnerable. Rail is always preferred over other PT when traveling long distances. In conclusion, several policies have been proposed. The researchers suggest a “5P” policy in light of the respondents’ comments, prior research, and the current environment. A safe, dependable PT system can be ensured by implementing new technologies, updating design, and providing drivers and staff with appropriate training.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Women’s Vulnerability on Public Transport

Miti

Prema

Raihan

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…Women and gender minorities are prone to experiencing more challenges than men when using the transit system because they are more vulnerable to harassment [ 15 ]. The need to consider fundamental differences between the two sexes is clear, but often, transportation analysis is akin to using simplified aggregation [ 16 ]. The limitation of previous analyses on transit deserts repeats the tradition of using simplified aggregation.…”

Section: Introductionmentioning

confidence: 99%

Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts

Choi,

Jiao

2024

PLoS ONE

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Transit deserts refer to regions with a gap in transit services, with the demand for transit exceeding the supply. This study goes beyond merely identifying transit deserts to suggest actionable solutions. Using a multi-class supervised machine learning framework, we analyzed factors leading to transit deserts, distinguishing demand by gender. Our focus was on peak-time periods. After assessing the Support Vector Machine, Decision Tree, Random Forest, and K-nearest Neighbor, we settled on the Random Forest method, supported by Diverse Counterfactual Explanation and SHapley Additive Explanation in our analysis. The ranking of feature importance in the trained Random Forest model revealed that factors such as density, design, distance to transit, diversity in the built environment, and sociodemographic characteristics significantly contribute to the classification of transit deserts. Diverse Counterfactual Explanation suggested that a reduction in population density and an increase in the proportion of green open spaces would likely facilitate the transformation of transit deserts into transit oases. SHapley Additive Explanation highlighted the differential impact of various features on each identified transit desert. Our analysis results indicate that identifying transit deserts can vary depending on whether the data is aggregated or separated by demographics. We found areas that have unique transit needs based on gender. The disparity in transit services was particularly pronounced for women. Our model pinpointed the core elements that define a transit desert. Broadly, to address transit deserts, strategies should prioritize the needs of disadvantaged groups and enhance the design and accessibility of transit in the built environment. Our research extends existing analyses of transit deserts by leveraging machine learning to develop a predictive model. We developed a machine learning-powered interactive dashboard. Integrating participatory planning approaches with the development of an interactive interface could enhance ongoing community engagement. Planning practices can evolve with AI in the loop.

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