Behavioral Mapping as an Anticipation of Crowding at Manggarai Station

Manggarai Station, designated as the “central station” in 2022, has sparked various conflicts that persist. The congestion at Manggarai Station arises from frequent damage to facilities and infrastructure, hindering optimal usage and impeding passenger movement to the station platforms. This article aims to review the layout of Manggarai Station using behavioral mapping. Behavioral mapping can trace the flow of congestion at Manggarai Station by focusing on the interaction between station users and the space, while also considering behavioral aspects to address the complex congestion issues and promote both mental and physical well-being for station users. Several areas were identified as congestion points at Manggarai Station, including 1) the lower platform area, 2) the upper platform area, 3) the waiting area, and 4) the escalator stairs. Future research is expected to explore further policies at Manggarai Station regarding operational systems, user movement directions, and station expansion to provide insights for policymakers for accurate improvements. Keywords: behavioral mapping, Manggarai Station, crowding

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Publication Details

Journal
KnE Social Sciences
Published
2024-11-08
DOI
https://doi.org/10.18502/kss.v9i30.17530
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Behavioral Mapping as an Anticipation of Crowding at Manggarai Station

Zalfa Awwala Qurrota A’yun, Priskila Andia Kristianti, Lintang Ayu Safira, Ikhwanul Ihsan Armalid
KnE Social Sciences
Transportation Planning and Optimization
article

Behavioral Mapping as an Anticipation of Crowding at Manggarai Station

Zalfa Awwala Qurrota A’yun, Priskila Andia Kristianti, Lintang Ayu Safira, Ikhwanul Ihsan Armalid
article en

Abstract

Manggarai Station, designated as the “central station” in 2022, has sparked various conflicts that persist. The congestion at Manggarai Station arises from frequent damage to facilities and infrastructure, hindering optimal usage and impeding passenger movement to the station platforms. This article aims to review the layout of Manggarai Station using behavioral mapping. Behavioral mapping can trace the flow of congestion at Manggarai Station by focusing on the interaction between station users and the space, while also considering behavioral aspects to address the complex congestion issues and promote both mental and physical well-being for station users. Several areas were identified as congestion points at Manggarai Station, including 1) the lower platform area, 2) the upper platform area, 3) the waiting area, and 4) the escalator stairs. Future research is expected to explore further policies at Manggarai Station regarding operational systems, user movement directions, and station expansion to provide insights for policymakers for accurate improvements. Keywords: behavioral mapping, Manggarai Station, crowding

KnE Social Sciences
State University of Malang (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Transportation Planning and Optimization
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Behavioral Mapping as an Anticipation of Crowding at Manggarai Station — Zalfa Awwala Qurrota A’yun, Priskila Andia Kristianti, et al. · KnE Social Sciences (2024) | TGRS Research Map | TGRS