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Examining TOD node typology using k-means, hierarchical, and latent class cluster analysis for a developing country

机译:Examining TOD node typology using k-means, hierarchical, and latent class cluster analysis for a developing country

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摘要

A sustainable urban strategy, transit-oriented development (TOD) encourages mixed-use zoning, compact growth, and pedestrian-friendly community designs. Bangladesh's capital city, Dhaka, may profit significantly from implementing TOD, primarily if metro rail transit is used as the system's main component. However, determining which metro stations benefit from TOD optimization is still difficult. To address this issue, this study extends conventional clustering techniques to identify metro stations in Dhaka that are suitable for TOD. Seventeen metro stations on mass rapid transit (MRT) line 6 were considered when evaluating the adequacy of the current stations and their surroundings using nine different characteristics. The findings were grouped into five clusters, each representing a metro station and its related features. This study adds to the body of previous knowledge by offering a more thorough method for assessing the viability of present stations and surroundings for TOD enhancement and commonalities among similar clusters. In addition, the analysis sheds light on Dhaka's metro stations that could accommodate TOD construction, which could help guide decision-making for further urban planning. The authors recommend that urban planners and policymakers develop TOD strategies in identified clusters to promote sustainable urban development. However, this study has limitations, such as the limited number of indicators used and the focus on a specific metro rail transit system. Future research should use transportation modes to improve the generalizability of these findings.

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