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Measuring Walkability with Street Connectivity and Physical Activity: A Case Study in Iran

Author

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  • Pouya Molaei

    (Faculty of Architecture and Urbanism, Tabriz Islamic Art University, Tabriz 51368, Iran)

  • Liyaning Tang

    (School of Built Environment, Western Sydney University, Penrith, NSW 2750, Australia)

  • Mary Hardie

    (School of Built Environment, Western Sydney University, Penrith, NSW 2750, Australia)

Abstract

The walkability of urban areas is an important criterion related to the level of physical activity and public health of citizens. This research aims to measure this parameter in Golsar town located in Rasht, Iran. Two methods were used in this research: Street connectivity and International Physical Activity Questionnaire (IPAQ). The principal variables of street connectivity were measured in four districts of Golsar by Geographic Information System (GIS) to rank each one. Then, the acquired results were compared by the average walking time of the respondents of the questionnaire. The comparison explicitly indicated that there is a strong positive correlation between the measures of street connectivity and people’s tendency to walk. As well, District 1 had the highest value of connectivity and the highest average time for walking amongst the four districts. This supports the contention that walkability and the level of outdoor physical activities of people in each district are undoubtedly under the influence of the variables of street connectivity. Nevertheless, the evaluation of other indexes such as proximity, land use mix, safety, and density in Golsar, in future research. can expand our perception of the walkability of this region.

Suggested Citation

  • Pouya Molaei & Liyaning Tang & Mary Hardie, 2021. "Measuring Walkability with Street Connectivity and Physical Activity: A Case Study in Iran," World, MDPI, vol. 2(1), pages 1-13, January.
    • Handle: RePEc:gam:jworld:v:2:y:2021:i:1:p:4-61:d:482335
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    References listed on IDEAS

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    2. Hossain Mohiuddin & Md Musfiqur Rahman Bhuiya & Shaila Jamal & Zhi Chen, 2022. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models," Sustainability, MDPI, vol. 14(22), pages 1-20, November.

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