{"id":3307,"date":"2022-06-28T13:27:01","date_gmt":"2022-06-28T12:27:01","guid":{"rendered":"https:\/\/patrizia.dev4.de\/?post_type=real_insights&#038;p=3307"},"modified":"2024-05-17T12:46:30","modified_gmt":"2024-05-17T10:46:30","slug":"using-ai-to-find-the-best-locations-for-urban-logistics-hubs","status":"publish","type":"real_insights","link":"https:\/\/patrizia.haraldo.dev\/de\/real_insights\/using-ai-to-find-the-best-locations-for-urban-logistics-hubs\/","title":{"rendered":"Using AI to find the best locations for urban logistics hubs"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lte922ek-e147aa1b2d96f5e90df4f460d6973624\">\n.avia-section.av-lte922ek-e147aa1b2d96f5e90df4f460d6973624{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/Vernetzung_113583895_jamesteohart-1.jpeg);\nbackground-position:50% 50%;\nbackground-attachment:scroll;\nmargin-top:0px;\nmargin-bottom:0px;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-lte922ek-e147aa1b2d96f5e90df4f460d6973624 header_color avia-section-no-padding avia-no-border-styling  avia-builder-el-0  el_before_av_codeblock  avia-builder-el-first  avia-full-stretch avia-bg-style-scroll av-minimum-height av-minimum-height-30vw av-height-percent_width  container_wrap fullsize'  data-section-bg-repeat='stretch' data-av_minimum_height_pc='30' data-av_min_height_opt='percent_width'><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-3307'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/main><!-- close content main element --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-3307'><div class='entry-content-wrapper clearfix'>\n\n<section  class='av_textblock_section av-lte96203-dc126903d2f00a0bda57a53717261c17 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h1 class=\"ce-news--detail__title\">Using AI to find the best locations for urban logistics hubs<\/h1>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltg6tm67-19714fc5d6a07f501c584b9076755f6f\">\n#top .flex_column.av-ltg6tm67-19714fc5d6a07f501c584b9076755f6f{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n.flex_column.av-ltg6tm67-19714fc5d6a07f501c584b9076755f6f{\nwidth:53.2%;\n}\n.responsive #top #wrap_all .flex_column.av-ltg6tm67-19714fc5d6a07f501c584b9076755f6f{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n<\/style>\n<div  class='flex_column av-ltg6tm67-19714fc5d6a07f501c584b9076755f6f av_three_fifth  avia-builder-el-3  el_after_av_textblock  el_before_av_one_half  first flex_column_div  column-top-margin'     ><section  class='av_textblock_section av-lwak0psw-da39f745121b3235aac48b03ecdb0759 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p>by Anett Wins, Dr. Marcelo Cajias<\/p>\n<\/div><\/section><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltg6xkyg-50f8750a3e1c7fea0ed005dde30a665b\">\n#top .flex_column.av-ltg6xkyg-50f8750a3e1c7fea0ed005dde30a665b{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n.responsive #top #wrap_all .flex_column.av-ltg6xkyg-50f8750a3e1c7fea0ed005dde30a665b{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n<\/style>\n<div  class='flex_column av-ltg6xkyg-50f8750a3e1c7fea0ed005dde30a665b av_one_half  avia-builder-el-5  el_after_av_three_fifth  el_before_av_three_fourth  first flex_column_div  '     ><\/div><\/p>\n<div class='av-column-wrapper-individual av-mobile-columns-flex av-columns-reverse'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltg3231x-94aa074a67a0f36a85eda2a8c2305d1c\">\n#top .flex_column.av-ltg3231x-94aa074a67a0f36a85eda2a8c2305d1c{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n.responsive #top #wrap_all .flex_column.av-ltg3231x-94aa074a67a0f36a85eda2a8c2305d1c{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n<\/style>\n<div  class='flex_column av-ltg3231x-94aa074a67a0f36a85eda2a8c2305d1c av_three_fourth  avia-builder-el-7  el_after_av_one_half  el_before_av_one_fourth  first flex_column_div  column-top-margin'     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltmyvcju-0f172123649d7d3dfa4c6d460b8d4c65\">\n#top .av-post-metadata-container.av-ltmyvcju-0f172123649d7d3dfa4c6d460b8d4c65{\ncolor:#b2b2b2;\nmargin:60px 0 5px 0;\n}\n<\/style>\n<div  class='av-post-metadata-container av-ltmyvcju-0f172123649d7d3dfa4c6d460b8d4c65 av-metadata-container-align-left  avia-builder-el-8  el_before_av_textblock  avia-builder-el-first  real_insights-meta2 av-metadata-container-1'><div class='av-post-metadata-container-inner'><span class=\"av-post-metadata-content av-post-metadata-meta-content\"><span class=\"av-post-metadata-content av-post-metadata-published\"><span class=\"av-post-metadata-published-date\" >28. Juni 2022<\/span><\/span><\/span><\/div><\/div><br \/>\n<section  class='av_textblock_section av-ltfowa7i-1bded3df6f5697d50c75d224ae90fcc8 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock ri-teaser'  itemprop=\"text\" ><h3><strong>The ongoing repercussions of\u00a0COVID-19 have dealt a cruel blow\u00a0to many market sectors, but some\u00a0are benefitting. E-commerce is\u00a0one clear winner.<\/strong><\/h3>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-ltfntrfd-6fe44dd61a46edef4d9797f8645b4ea6 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p>The ripple effects of COVID-19 and changing consumer habits are accelerating the shift towards e-commerce. This, in turn, is stimulating demand for last-mile logistics to cater for the growing ranks of online consumers demanding overnight or next-day delivery.<\/p>\n<p>PATRIZIA has developed a data intelligence tool to identify precisely the best place in a city for a logistics asset. The Logistics Impact Solution (LIS), the latest addition to PATRIZIA\u2019s impACT solutions, evaluates, compares and benchmarks different urban<br \/>\nlogistics locations across European cities to pinpoint the optimal location for logistics assets. The LIS enables logisticians and retailers to identify the most efficient locations for an urban distribution footprint.<\/p>\n<p>The way and speed at which end-consumer goods are distributed within cities are re-shaping city logistics and the use of real estate assets. Logistics used to mean big ugly warehouses in a supply chain. Now it includes warehouses near large transportation and shipping hubs. It includes cold-storage facilities, self-storage units, data centres, regional distribution centres, last-mile distribution centres, last-minute distribution centres, and other facilities that are part of our diversifying distribution networks.<\/p>\n<p>In the past, logistics facilities were located outside the city because the land was cheaper, which is why shipping hubs were situated there. Today, however, urban logistics is presenting interesting opportunities. Whereas last-mile distribution used to be the innovative way to think about logistics, increasingly, we are looking at last-minute distribution.<\/p>\n<\/div><\/section><\/p><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltfp5x23-57a1f9d161345c95e1344345e05bbfe4\">\n#top .flex_column.av-ltfp5x23-57a1f9d161345c95e1344345e05bbfe4{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n.responsive #top #wrap_all .flex_column.av-ltfp5x23-57a1f9d161345c95e1344345e05bbfe4{\nmargin-top:0px;\nmargin-bottom:0px;\n}\n<\/style>\n<div  class='flex_column av-ltfp5x23-57a1f9d161345c95e1344345e05bbfe4 av_one_fourth  avia-builder-el-11  el_after_av_three_fourth  el_before_av_two_third  ri-inhaltsverzeichnis flex_column_div  column-top-margin'     ><p><div  class='avia-builder-widget-area clearfix  avia-builder-el-12  el_before_av_social_share  avia-builder-el-first '><div id=\"avia_auto_toc-2\" class=\"widget clearfix avia-widget-container avia_auto_toc avia_no_block_preview\"><div class=\"avia-preview-headline\">NeoDesign Table of Contents<\/div><div class=\"avia-preview-info\">Titel: Inhaltsverzeichnis:<\/div><div class=\"avia-preview-in-front\">Table can only be rendered in frontend.<\/div><\/div><\/div><br \/>\n<div  class='av-social-sharing-box av-ltegg3rr-c727199f5d672709402708ebfbb4e7e0 av-social-sharing-box-default  avia-builder-el-13  el_after_av_sidebar  avia-builder-el-last  av-social-sharing-box-fullwidth'><div class=\"av-share-box\"><h5 class='av-share-link-description av-no-toc '>Insight teilen<\/h5><ul class=\"av-share-box-list noLightbox\"><li class='av-share-link av-social-link-square-x-twitter avia_social_iconfont' ><a target=\"_blank\" aria-label=\"Share on X\" href='https:\/\/twitter.com\/share?text=Using%20AI%20to%20find%20the%20best%20locations%20for%20urban%20logistics%20hubs&#038;url=https:\/\/patrizia.haraldo.dev\/de\/?p=3307' data-av_icon='\ue933' data-av_iconfont='entypo-fontello'  title='' data-avia-related-tooltip='Share on X'><span class='avia_hidden_link_text'>Share on X<\/span><\/a><\/li><li class='av-share-link av-social-link-linkedin avia_social_iconfont' ><a target=\"_blank\" aria-label=\"Teilen auf LinkedIn\" href='https:\/\/linkedin.com\/shareArticle?mini=true&#038;title=Using%20AI%20to%20find%20the%20best%20locations%20for%20urban%20logistics%20hubs&#038;url=https:\/\/patrizia.haraldo.dev\/de\/real_insights\/using-ai-to-find-the-best-locations-for-urban-logistics-hubs\/' data-av_icon='\ue8fc' data-av_iconfont='entypo-fontello'  title='' data-avia-related-tooltip='Teilen auf LinkedIn'><span class='avia_hidden_link_text'>Teilen auf LinkedIn<\/span><\/a><\/li><li class='av-share-link av-social-link-mail avia_social_iconfont' ><a  aria-label=\"Per E-Mail teilen\" href='mailto:?subject=Using%20AI%20to%20find%20the%20best%20locations%20for%20urban%20logistics%20hubs&#038;body=https:\/\/patrizia.haraldo.dev\/de\/real_insights\/using-ai-to-find-the-best-locations-for-urban-logistics-hubs\/' data-av_icon='\ue805' data-av_iconfont='entypo-fontello'  title='' data-avia-related-tooltip='Per E-Mail teilen'><span class='avia_hidden_link_text'>Per E-Mail teilen<\/span><\/a><\/li><\/ul><\/div><\/div><\/p><\/div><\/div><!--close flex column wrapper. Autoclose: 1 -->\n<div class='flex_column_table av-ltfmjzn2-8daafc84d2b1a62f144e353778fb5c80 sc-av_two_third av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltfmjzn2-8daafc84d2b1a62f144e353778fb5c80\">\n#top .flex_column_table.av-equal-height-column-flextable.av-ltfmjzn2-8daafc84d2b1a62f144e353778fb5c80{\nmargin-top:20px;\nmargin-bottom:20px;\n}\n<\/style>\n<div  class='flex_column av-ltfmjzn2-8daafc84d2b1a62f144e353778fb5c80 av_two_third  avia-builder-el-14  el_after_av_one_fourth  el_before_av_one_third  first flex_column_table_cell av-equal-height-column av-align-middle  column-top-margin'     ><section  class='av_textblock_section av-i1qe5p-d417408c83de0c4af5c879114ac699bb '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Where is best for a logistics hub?<\/h2>\n<p>So what is the ideal location for a logistics hub? Essentially, any facility should be near as many affluent consumers as possible. The rationale is that the willingness to pay for a logistics asset is predominantly a function of the expected urban freight turnover, that is, the distribution of goods to consumers.<\/p>\n<p>Thanks to artificial intelligence (AI) and machine learning methods, the LIS computes the exact logistics catchment area that can be reached during a given travel time &#8211; for example, how far can be driven in 15, 30, 45 or 60 minutes. By combining<br \/>\nthese geographical areas with socio-economic data, the LIS determines the number of households within the catchment area (the \u2018demographic impact\u2019) and their total spending power, that is, their economic impact. Finally, the LIS merges demographic and economic data to benchmark the best logistics locations within European cities.<\/p>\n<\/div><\/section><\/div>\n<div class='av-flex-placeholder'><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1u1wej-bf48a1b47af756f3c5074879e51835b1\">\n#top .flex_column_table.av-equal-height-column-flextable.av-1u1wej-bf48a1b47af756f3c5074879e51835b1{\nmargin-top:20px;\nmargin-bottom:20px;\n}\n<\/style>\n<div  class='flex_column av-1u1wej-bf48a1b47af756f3c5074879e51835b1 av_one_third  avia-builder-el-16  el_after_av_two_third  el_before_av_one_full  real_insights-zitat flex_column_table_cell av-equal-height-column av-align-middle  column-top-margin'     ><div  class='avia-testimonial-wrapper av-luwndf4j-02f2d3b52f5f12e2bed702c4d20d34f0 avia-grid-testimonials avia-grid-1-testimonials avia_animate_when_almost_visible av-minimal-grid-style av-boxed-grid-style' >\n<section class=\"avia-testimonial-row\"><div class='avia-testimonial av-luwnddkt-8f1f18ef25f66ef94fa384133b0a2213 avia-testimonial-row-1 avia-first-testimonial flex_column no_margin av_one_full'><div class='avia-testimonial_inner'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia-testimonial-content '><div class='avia-testimonial-markup-entry-content'  itemprop=\"text\" ><p>The way and speed at which end-consumer goods are distributed within cities are re-shaping city logistics and the use of real estate assets.<\/p>\n<\/div><\/div><div class=\"avia-testimonial-meta\"><div class=\"avia-testimonial-arrow-wrap\"><div class=\"avia-arrow\"><\/div><\/div><div class='avia-testimonial-meta-mini'  itemprop=\"author\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/Person\" ><\/div><\/div><\/div><\/div><\/section>\n<\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<div  class='flex_column av-fzms7h-d74df4f704ed1dc103fbafc7af866d30 av_one_full  avia-builder-el-18  el_after_av_one_third  el_before_av_one_half  first flex_column_div  column-top-margin'     ><section  class='av_textblock_section av-ehvjzx-aac17e00c887db6ed5a4708ffc78aca2 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Spending power counts in Berlin<\/h2>\n<p>PATRIZIA used the LIS to examine two European cities in depth: Berlin and London. The studies highlighted substantial differences between the capitals\u2019 logistics networks. In Berlin, greater spending power and a denser distribution of households compensate for higher travel costs. In London, the purchasing power captured within shorter distances drives logistics rents the most. This illustrates the importance of understanding logistics in each urban context and how the LIS makes this possible.<\/p>\n<p>With Berlin, the LIS examined the most active locations in terms of institutional transactions over the last two years. According to the <a href=\"https:\/\/www.msci.com\/our-solutions\/real-assets\/real-capital-analytics\">Real Capital Analytics (RCA) database<\/a>, there are three active areas inside Berlin: Berlin Tegel Airport, Treptow to the south of the city, and Neuenhagen to the east. The three most active areas outside the German capital are: Kloster Lehnin in the south-west, Gro\u00dfbeeren in the south and Gr\u00fcnheide in the south-east.<\/p>\n<p>The six locations differ significantly in terms of economic and demographic catchment. On average, 169,000 households can be reached from the three inner-city areas within a 15-minute drive. By comparison, on average, the three outside locations capture less than 31,000 households. At this point, we could conclude that locations within the city centre are the strategic place to be to maximise the number of potential consumers.<\/p>\n<p>Yet, interestingly, driving for longer outside the city appears to be well worth it. Driving 30 minutes from Gro\u00dfbeeren and Gr\u00fcnheide reaches far more homes than a 15-minute drive within the city, namely 4.7 times (795,000) and 2.1 times (354,000) more households respectively.<\/p>\n<p>The data suggests that household economic power increases with distance from inner-city locations. Yet, outside the city, the opposite is true. For example, the average purchasing power per household within the 15-minute catchment area of Tegel Airport is \u20ac34,000 and rises by around 15% to \u20ac39,000 within the 60-minute catchment area.<\/p>\n<\/div><\/section><\/div>\n<div class='flex_column_table av-3w9kto-b0d7c1718ce0e08bd1e7ee3c5da5e7d3 sc-av_one_half av-equal-height-column-flextable'><div  class='flex_column av-3w9kto-b0d7c1718ce0e08bd1e7ee3c5da5e7d3 av_one_half  avia-builder-el-20  el_after_av_one_full  el_before_av_one_half  first flex_column_table_cell av-equal-height-column av-align-middle  column-top-margin'     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-luqxvg4p-853382d0ae6ae61bf8376b050339c69b\">\n.avia-image-container.av-luqxvg4p-853382d0ae6ae61bf8376b050339c69b img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-luqxvg4p-853382d0ae6ae61bf8376b050339c69b .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-luqxvg4p-853382d0ae6ae61bf8376b050339c69b av-styling- avia-align-center  avia-builder-el-21  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-3306 avia-img-lazy-loading-not-3306 avia_image ' src=\"https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1.jpg\" alt='' title='London'  height=\"1709\" width=\"2560\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1.jpg 2560w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-300x200.jpg 300w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-1030x688.jpg 1030w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-768x513.jpg 768w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-1536x1025.jpg 1536w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-2048x1367.jpg 2048w, https:\/\/patrizia.haraldo.dev\/wp-content\/uploads\/London-1-705x471.jpg 705w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/><\/div><\/div><\/div><\/div>\n<div class='av-flex-placeholder'><\/div><div  class='flex_column av-bvv7kt-c09e7696656e677c5d04d51c0cb700ff av_one_half  avia-builder-el-22  el_after_av_one_half  el_before_av_one_full  flex_column_table_cell av-equal-height-column av-align-middle  column-top-margin'     ><section  class='av_textblock_section av-3xakd-20eb7cb5e5b7b7576da0c1cbed0280d3 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Central locations best for London logistics<\/h2>\n<p>For London, PATRIZIA used <a href=\"https:\/\/www.pma.co.uk\/home\/\">Property Market Analysis (PMA)<\/a> to identify well-established logistics submarkets to benchmark with the LIS, namely: Croydon, Enfield, Heathrow and Royal Park. Then it compared their historic rental growth for logistics.<\/p>\n<p>Unlike in Berlin, the LIS reveals an inverse relationship between drive time and economic impact. For example, for Royal Park, close to the city centre, purchasing power per household falls as driving time increases.<\/p>\n<p>The LIS proves that rises in demographic and economic impact need to compensate for greater travel times. For example, with Enfield, there is little increase in spending power per household between a driving time of 30 minutes (\u20ac65,000) and a 60-minute drive time (\u20ac67,000). However, there is a far more significant demographic impact.<\/p>\n<\/div><\/section><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<div  class='flex_column av-ltfon8na-8eebe8816245f9123a506380cc374a04 av_one_full  avia-builder-el-24  el_after_av_one_half  el_before_av_hr  first flex_column_div  column-top-margin'     ><section  class='av_textblock_section av-8thnql-f17dfe3b32a4d4a6993379305bee3563 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Identifying unknown logistics locations<\/h2>\n<p>By linking LIS results to real estate performance indicators, PATRIZIA was able to gain significant insights into rental dynamics across the four London submarkets. PATRIZIA merged the CAGR of logistics rents and the economic impact of different travel times for each site. Results show that the most robust rental growth occurred in the locations ranking highest using the LIS tool, confirming its findings.<\/p>\n<p>Across all of the economic impact areas, the15-minute drive time relates best to logistics rental growth. Moreover, the purchasing power captured within a 15-minute and 30-minute drive time has the biggest influence on growth in rental logistics property.<\/p>\n<p>Essentially, the LIS algorithm can help investors comprehend the complexity of distribution networks across Europe and how patterns differ between cities. Moreover, the tool could be used to identify untapped urban logistics locations. And it could be<br \/>\nfurther tailored to meet the specific needs of logistics investment management teams.<\/p>\n<p>Logistics is an adaptable sector with several subsectors, each of which can protect investors against demographic and economic changes. Site selection is a crucial component when acquiring outperforming assets. And the new AI tool has proven invaluable in predicting where suitable sites could be located, not only for current demand but also in the future.<\/p>\n<p>We want to ensure the assets we invest in continue to perform, no matter what the future brings. Logistics and its multiple subsets, whether light urban industrial or major transportation hub or cold storage, are positioned to take advantage of long-term secular trends. It is a sector that was made for future-proofing a portfolio and as urban logistics grows in importance, so does the need to identify where precisely to locate a logistics asset.<\/p>\n<\/div><\/section><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-ltmyue6h-a5793e9c3f9b78be021854e0bb5231b9\">\n#top .hr.av-ltmyue6h-a5793e9c3f9b78be021854e0bb5231b9{\nmargin-top:30px;\nmargin-bottom:30px;\n}\n.hr.av-ltmyue6h-a5793e9c3f9b78be021854e0bb5231b9 .hr-inner{\nwidth:100%;\nborder-color:#000000;\n}\n<\/style>\n<div  class='hr av-ltmyue6h-a5793e9c3f9b78be021854e0bb5231b9 hr-custom  avia-builder-el-26  el_after_av_one_full  avia-builder-el-last  hr-center hr-icon-no'><span class='hr-inner inner-border-av-border-thin'><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Lesedauer<\/span> <span class=\"rt-time\"> 11<\/span> <span class=\"rt-label rt-postfix\">Minuten<\/span><\/span><\/p>\n","protected":false},"author":26,"featured_media":3303,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[59,33],"tags":[128,133,99,129,109,83,72,134,122,76,93],"ri-category":[],"coauthors":[165,156],"class_list":["post-3307","real_insights","type-real_insights","status-publish","format-standard","has-post-thumbnail","hentry","category-real-innovation","category-real_insights","tag-architecture","tag-artificial-intelligence","tag-estatements","tag-hafencity","tag-innovation","tag-living-cities","tag-logistics-en","tag-marcelo-cajias","tag-project","tag-sustainable-futures-en","tag-urbanisation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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