{"id":31122,"date":"2026-09-09T08:00:00","date_gmt":"2026-09-09T06:00:00","guid":{"rendered":"https:\/\/blog.ptvgroup.com\/?p=31122"},"modified":"2026-08-17T15:21:20","modified_gmt":"2026-08-17T13:21:20","slug":"urban-freight-emissions-ptv-visum","status":"publish","type":"post","link":"https:\/\/blog.ptvgroup.com\/en\/user-insights\/urban-freight-emissions-ptv-visum\/","title":{"rendered":"How to Map Urban Freight Emissions with PTV Visum"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>Table of contents<\/h2><ul><li><a href=\"#h-beyond-traffic-forecasting\" data-level=\"2\">Beyond Traffic Forecasting<\/a><\/li><li><a href=\"#h-adding-copert-emission-data\" data-level=\"2\">Adding COPERT Emission Data<\/a><\/li><li><a href=\"#h-mapping-urban-freight-emissions\" data-level=\"2\">Mapping Urban Freight Emissions<\/a><\/li><li><a href=\"#h-comparing-freight-scenarios\" data-level=\"2\">Comparing Freight Scenarios<\/a><\/li><li><a href=\"#h-supporting-planning-decisions\" data-level=\"2\">Supporting Planning Decisions<\/a><\/li><li><a href=\"#h-request-free-ptv-visum-demo\" data-level=\"2\">Request free PTV Visum demo<\/a><\/li><\/ul><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Urban freight is essential to metropolitan economies. However, urban freight emissions are not distributed evenly across transport networks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Citywide totals can hide important differences between roads and urban areas. Planners need to know where emissions occur and which traffic conditions intensify them. They also need to understand how freight growth or changes in vehicle fleets could affect different locations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I conducted this research with Emilian Szczepa\u0144ski and Jakub Murawski from Warsaw University of Technology, as part of the E-Laas project. We examined how macroscopic transport modeling with PTV Visum can support this analysis. In this article, I explain how we combined traffic assignment, COPERT factors, and spatial analysis to identify priority links, zones, and scenario effects.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf22575a8&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf22575a8\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1025\" height=\"577\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1.png\" alt=\"Modeled traffic volumes across the GZM metropolitan road network\" class=\"wp-image-31110\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1.png 1025w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1-640x360.png 640w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1-320x180.png 320w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1-768x432.png 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM1-300x169.png 300w\" sizes=\"auto, (max-width: 1025px) 100vw, 1025px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">The GZM transport model provides the basis for emissions analysis<\/figcaption><\/figure>\n\n\n\n<h2 id=\"h-beyond-traffic-forecasting\" class=\"wp-block-heading\"><strong>Beyond Traffic Forecasting<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Our case study focused on the 41 municipalities of the Upper Silesian-Zag\u0142\u0119bie Metropolis, or GZM, in southern Poland. The region comprises 41 cities and municipalities. Its dense road network, industrial activity, and freight demand made it a relevant case.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We started with an existing, <a href=\"https:\/\/blog.ptvgroup.com\/en\/user-insights\/digital-transport-model-tashkent-ptv-visum\/\" target=\"_blank\" rel=\"noreferrer noopener\">calibrated four-step transport model<\/a> in PTV Visum. The network represented road infrastructure, while the demand model covered passenger and freight movements. We derived freight trip generation and attraction from surveys, spatial data, employment, land use, and business locations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A reliable base model was essential. Environmental calculations cannot correct inaccurate demand, vehicle categories, network conditions, or route choices. Weak assumptions could therefore produce misleading spatial results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Using the same calibrated PTV Visum model kept freight flows, network conditions, and scenario assumptions consistent across the analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For each network link, the model provided traffic volumes, vehicle kilometers traveled, road class, capacity, average speed, and volume-to-capacity ratio.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf2257d5e&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf2257d5e\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"434\" height=\"238\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM2.png\" alt=\"Road classes across the GZM metropolitan transport network\" class=\"wp-image-31112\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM2.png 434w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM2-300x165.png 300w\" sizes=\"auto, (max-width: 434px) 100vw, 434px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Road classes provide context for comparing modeled traffic impacts<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">We used these outputs to examine how road type and traffic conditions influenced energy use and emissions.<\/p>\n\n\n\n<h2 id=\"h-adding-copert-emission-data\" class=\"wp-block-heading\"><strong>Adding COPERT Emission Data<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We then connected modeled traffic activity with COPERT emission and energy factors. A technical overview explains the <a href=\"https:\/\/blog.ptvgroup.com\/en\/technologyplus\/integrated-copert-emissions-calculation-in-ptv-visum-2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">COPERT methodology in PTV Visum<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">First, we matched the PTV Visum vehicle classes to corresponding COPERT categories. The 2022 fleet composition distinguished passenger cars, light commercial vehicles, and heavy freight vehicles.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Next, we combined the COPERT factors with traffic volumes and average link speeds from PTV Visum. This allowed us to calculate gasoline and diesel consumption, electric-vehicle energy use, and emissions for several pollutants.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We also estimated external costs for selected pollutants using European reference values.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PTV Visum provided demand, assignment, network conditions, and scenario results. COPERT supplied vehicle-specific energy and emission factors.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf22584ff&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf22584ff\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"450\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM3.png\" alt=\"Workflow combining PTV Visum traffic results, COPERT factors, and spatial analysis\" class=\"wp-image-31114\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM3.png 500w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM3-400x360.png 400w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM3-222x200.png 222w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Traffic results and emission factors become spatial planning evidence<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This linked environmental indicators to individual roads instead of one metropolitan average. We could compare road classes and examine how speed and congestion influenced energy use and emissions. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The method estimates emissions from modeled traffic activity. It does not calculate pollutant dispersion, ambient concentrations, or population exposure. Where queues and time-dependent congestion could change the result, planners should also consider <a href=\"https:\/\/blog.ptvgroup.com\/en\/technologyplus\/mesoscopic-modeling-ptv-visum-sba\/\" target=\"_blank\" rel=\"noreferrer noopener\">when mesoscopic modeling becomes useful<\/a>.<\/p>\n\n\n\n<h2 id=\"h-mapping-urban-freight-emissions\" class=\"wp-block-heading\"><strong>Mapping Urban Freight Emissions<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Link-level results showed where energy use and emissions occurred across the road network. However, planners also need to understand how these patterns relate to urban functions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We exported network links, modeled attributes, and Traffic Analysis Zones from PTV Visum for further analysis in QGIS. We then aggregated the results by zone. We compared them with residential, retail, industrial, warehouse, and logistics activities.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf2258bef&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf2258bef\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"451\" height=\"244\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM4.png\" alt=\"Dominant activities across GZM Traffic Analysis Zones\" class=\"wp-image-31116\" style=\"object-fit:cover\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM4.png 451w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM4-300x162.png 300w\" sizes=\"auto, (max-width: 451px) 100vw, 451px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Zone activities help explain spatial differences in modeled impacts<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">We also developed a transit-rate indicator to separate locally generated activity from through traffic. Without this distinction, a zone crossed by a major corridor could appear environmentally intensive despite generating relatively few trips.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf225914a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf225914a\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"560\" height=\"297\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM5.png\" alt=\"Modeled freight energy use across GZM Traffic Analysis Zones\" class=\"wp-image-31118\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM5.png 560w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM5-300x159.png 300w\" sizes=\"auto, (max-width: 560px) 100vw, 560px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Zone-level analysis reveals patterns hidden by metropolitan totals<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The analysis revealed clear spatial differences. Higher-class roads carried large traffic and freight volumes. In contrast, congested lower-class streets could show high freight-specific impacts because of low speeds and stop-and-go conditions. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The findings demonstrate the limits of citywide averages. Link-level results identify corridors where freight volumes and inefficient conditions coincide. Zone-level results indicate whether local activity or through traffic drives modeled impacts.<\/p>\n\n\n\n<h2 id=\"h-comparing-freight-scenarios\" class=\"wp-block-heading\"><strong>Comparing Freight Scenarios<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We tested two scenarios against the base case. The first increased freight trip production and attraction by 20% to represent a seasonal peak. We then recalculated demand distribution, traffic assignment, energy use, and emissions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The second scenario replaced the modeled freight fleet with electric vehicle categories. Traffic demand remained unchanged, allowing us to isolate the effect of fleet composition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Results varied spatially. During the seasonal peak, freight energy use rose by about 20% to 23% across most road classes. Total traffic energy use rose by about 5% to 10%, reflecting different freight shares across the network.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Full fleet electrification reduced modeled energy use, with the scale of change varying by road class and zone. It also eliminated the calculated freight costs for the selected tailpipe pollutants. These results show why planners should examine where scenario effects occur, not only network-wide totals.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6aa6bf22598b3&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6aa6bf22598b3\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"450\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM6.png\" alt=\"Changes in energy use and emission costs by road class under two freight scenarios\" class=\"wp-image-31120\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM6.png 500w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM6-400x360.png 400w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2026\/08\/GZM6-222x200.png 222w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Freight growth and electrification produce different effects by road class<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The electrification result requires careful interpretation. The scenario does not represent zero lifecycle impact. It excludes emissions from electricity generation and does not capture every form of non-exhaust pollution. Instead, it shows how fleet electrification changes the indicators included in our modeling framework.<\/p>\n\n\n\n<h2 id=\"h-supporting-planning-decisions\" class=\"wp-block-heading\"><strong>Supporting Planning Decisions<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The main lesson is not that one freight policy works everywhere. Instead, an existing strategic model can provide a consistent basis for environmental analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Combined with emission factors and spatial analysis, PTV Visum supports practical planning tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Link-level results<\/strong> can identify corridors where freight volumes and inefficient operating conditions coincide.<\/li>\n\n\n\n<li><strong>Zone-level results<\/strong> can indicate whether impacts relate mainly to local activity or through traffic.<\/li>\n\n\n\n<li><strong>Scenario comparisons<\/strong> can show where changes in freight demand or fleet composition may have the greatest effect.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These insights can inform delivery-time regulations, access restrictions, consolidation strategies, and lower-emission vehicle incentives. A similar scenario-based approach can help cities <a href=\"https:\/\/blog.ptvgroup.com\/en\/technologyplus\/lez-evaluation-scenario-modelling-ptv-visum\/\" target=\"_blank\" rel=\"noreferrer noopener\">evaluate access policies before implementation<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, the model does not prescribe specific measures. Its results should support stakeholder discussions, detailed analysis, and field validation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The research also informs teaching at Cracow University of Technology. In an emissions simulation course, transportation students use a medium-sized city model developed during a previous semester to assess how transport infrastructure scenarios affect emissions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Our next steps include comparing COPERT with other emission approaches and validating modeled patterns against field measurements. Macroscopic modeling cannot remove urban freight\u2019s complexity, but it can make it visible, structured, and testable for environmental planning.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column cta-box is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-cover\"><img loading=\"lazy\" decoding=\"async\" width=\"1254\" height=\"836\" class=\"wp-block-cover__image-background wp-image-25406\" alt=\"\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg 1254w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-540x360.jpg 540w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-936x624.jpg 936w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-768x512.jpg 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-300x200.jpg 300w\" sizes=\"auto, (max-width: 1254px) 100vw, 1254px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-80 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(135deg,rgb(66,104,249) 28%,rgb(41,224,133) 88%)\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<p class=\"has-text-align-center wp-block-paragraph\" style=\"font-size:24px;font-style:normal;font-weight:700\">From transport models to environmental evidence<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">Use PTV Visum to compare freight scenarios, identify environmentally sensitive network areas, and strengthen planning decisions<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-f5f78b3b wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-white-background-color has-text-color has-background has-link-color has-text-align-center has-custom-font-size wp-element-button\" href=\"#h-request-free-ptv-visum-demo\" style=\"border-radius:8px;color:#6482f6;font-size:14px;font-style:normal;font-weight:500\">Request free demo<\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 id=\"h-request-free-ptv-visum-demo\" class=\"wp-block-heading\">Request free PTV Visum demo<\/h2>\n\n\n\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"card-text\">See how a metropolitan PTV Visum model can locate urban freight emissions, compare scenarios, and support targeted transport planning [&#8230;]<\/p>\n<p class=\"m-0\"><a class=\"btn btn-outline-secondary btn-read-more\" href=\"https:\/\/blog.ptvgroup.com\/en\/user-insights\/urban-freight-emissions-ptv-visum\/\">Read More<\/a><\/p>\n","protected":false},"author":5,"featured_media":31108,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_ppma_block_editor_authors":""},"categories":[8326,8322],"tags":[8388,8377,8371],"ppma_author":[8539],"class_list":["post-31122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-modeling-planning","category-user-insights","tag-sustainable-transport","tag-traffic-simulation","tag-urban-mobility"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Urban Freight Emissions Analysis with PTV Visum | PTV Blog<\/title>\n<meta name=\"description\" content=\"Learn how to use PTV Visum to assess urban 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