Integrating Urban Transport Planning and Emission Mitigation Strategies: a Gis-based Study of Malang City, Indonesia
Year: 2026
Type: article
Abstract: Urban transport emissions have become a significant environmental concern in rapidly growing Indonesian cities, where motorization is increasing faster than the capacity of transport infrastructure. Malang City is experiencing rising congestion and deteriorating air quality due to high vehicle volumes and mixed land-use intensity along its major corridors. This study aims to integrate urban transport planning with vehicular emission mitigation strategies by applying a GIS-based spatial modelling approach. Traffic volume, speed, and V/C ratio data from the Laporan Umum Tim PKL Kota Malang 2024 were combined with road network and land-use datasets to model emissions of CO, CO₂, HC, and NOₓ using distance-based and congestion-adjusted emission factors. GIS analyses, including kernel density estimation (KDE) and overlay mapping, were used to identify high-emission hotspots and their spatial association with land-use patterns. Results indicate that the Soekarno Hatta, Arjosari–Ahmad Yani, and Borobudur–Mayjen Sungkono corridors contribute disproportionately to urban emissions due to high traffic congestion, stop-and-go flow, and dense mixed-use development. Emission intensity maps reveal strong spatial clustering in university districts, terminal areas, and commercial corridors. The findings highlight the need for integrated mitigation strategies, including low-emission corridors, improved public transport reliability, intersection optimisation, and land-use regulation aligned with transport capacity. This study contributes a spatially explicit, policy-oriented framework for reducing transport-related emissions in medium-sized Indonesian cities. The proposed GIS-based methodology offers a replicable approach for supporting sustainable urban mobility and informing targeted environmental interventions.
Source: PLANNING MALAYSIA
Institution: Politeknik Transportasi Darat Indonesia - STTD
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7163545294