{"name": "ParkSense Metrics", "package_name": "parksense_metrics", "description": "ParkSense Metrics is a QGIS plugin designed to estimate urban parking supply and parking pressure using spatial analytics.\nThe plugin transforms building footprints, road networks, and optional point-of-interest (POI) data into measurable parking capacity indicators.\n\nIt supports grid-based parking supply estimation, roadside parking capacity modeling, building-based off-street parking estimation,\nand POI-based demand proxy analysis to evaluate spatial parking pressure patterns in urban environments.\n\nThe plugin enables planners, researchers, and urban mobility analysts to convert spatial datasets into actionable parking capacity metrics\nfor mobility planning, land-use interpretation, and urban infrastructure assessment.\n\nIt includes the following main analytical components:\n1. On-Street Parking Estimator \u2013 calculates curbside parking capacity from road geometry and parking-side rules.\n2. Off-Street Parking Estimator \u2013 estimates parking capacity from building footprints and land-use parking factors.\n3. Parking Supply Grid Generator \u2013 aggregates parking supply indicators into a regular spatial grid.\n4. Parking Pressure Analyzer \u2013 compares parking demand proxies from POI data with available supply to derive parking pressure indicators.", "about": "ParkSense Metrics provides an integrated spatial analytics framework for evaluating parking capacity and parking pressure in urban areas.\nThe plugin applies rule-based estimation models to infer parking supply from built environment datasets,\nenabling rapid parking supply assessment where detailed parking inventories are unavailable.\n\nThe framework supports urban mobility research, parking management studies, spatial infrastructure planning,\nand smart city analytics by transforming spatial layers into interpretable parking capacity indicators.", "homepage": "https://github.com/firmanaf/ParkSense-Metrics", "repository": "https://github.com/firmanaf/ParkSense-Metrics", "tracker": "https://github.com/firmanaf/ParkSense-Metrics/issues", "author": "Maya Safira, Firman Afrianto", "tags": ["urban planning", "urban mobility", "smart city", "transport planning", "parking demand", "parking pressure", "parking supply", "spatial analytics", "parking analysis"], "downloads": 280, "latest_version": "1.0.0", "versions": [{"version": "1.0.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 280, "uploaded_by": "firmanafrianto", "upload_datetime": "2026-03-07T01:06:43.427001"}]}