Dataset on factors influencing pedestrian crosswalk usage behavior in high-density urban areas of a developing country

TL;DR

This paper presents a dataset on pedestrian crosswalk behavior in Dhaka, Bangladesh, to help improve pedestrian safety in high-density urban areas.

Contribution

The dataset introduces survey data from a developing country's urban setting, capturing factors influencing crosswalk usage behavior.

Findings

The dataset includes 682 valid responses from twelve locations in Dhaka.

It covers eight attributes related to crosswalk behavior and demographics.

The dataset supports machine learning analyses and policy development for pedestrian safety.

Abstract

The dataset consists of survey data on pedestrian crosswalk usage behavior in high-density urban areas of a developing country, specifically collected from Dhaka, the capital city of Bangladesh. Data were gathered through a questionnaire survey conducted at twelve key locations, covering eight attributes related to crosswalk behavior and the demographic details of respondents. The survey yielded 682 valid responses, focusing on factors such as the suitability of crosswalk locations, guard rails, and lighting. The dataset is structured to support analyses using supervised machine learning techniques, facilitating reproducibility, secondary analysis, and policy development for pedestrian safety improvements. Furthermore, the dataset can be reused for cross-validation of future studies, comparison with pedestrian behavior in similar urban settings, and the development of predictive models to enhance pedestrian infrastructure in other developing regions.

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