{"id":78,"date":"2020-02-06T13:34:16","date_gmt":"2020-02-06T13:34:16","guid":{"rendered":"http:\/\/coehumnet.wpengine.com\/?page_id=78"},"modified":"2024-05-26T03:24:58","modified_gmt":"2024-05-26T03:24:58","slug":"homepage","status":"publish","type":"page","link":"https:\/\/humnetlab.berkeley.edu\/","title":{"rendered":"Homepage"},"content":{"rendered":"\n\n HuMNetLab, UC Berkeley<\/title>\n <\/head>\n\n<div class=\"gtco-loader\"><\/div>\n\t\n\t<div id=\"page\">\n\t\n\t<!--\n\t<header id=\"gtco-header\" class=\"gtco-cover\" role=\"banner\" style=\"background-image:url(images\/img_bg_1.jpg);\">\n\t\t<div class=\"gtco-container\">\n\t\t\t<div class=\"row\">\n\t\t\t\t<div class=\"col-md-8 col-md-offset-2 text-center\">\n\t\t\t\t\t<div class=\"display-t\">\n\t\t\t\t\t\t<div class=\"display-tc animate-box\" data-animate-effect=\"fadeIn\">\n\t\t\t\t\t\t\t<h1>Oxygen<\/h1>\n\t\t\t\t\t\t\t<h2>Free html5 templates Made by <a href=\"http:\/\/gettemplates.co\/\" target=\"_blank\" rel=\"noopener noreferrer\">gettemplates.co<\/a><\/h2>\n\t\t\t\t\t\t\t<p><a href=\"#\" class=\"btn btn-default\">Get Started<\/a><\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/header>\n-->\n\n\t<aside id=\"fh5co-hero\" class=\"js-fullheight\">\n\t\t<div class=\"flexslider js-fullheight\">\n\t\t\t<ul class=\"slides\">\n\t\t \t<li style=\"background-image: url(\/wp-content\/uploads\/2020\/03\/slide_humnet01_gray.png);\">\n\t\t \t\t<div class=\"overlay-gradient\"><\/div>\n\t\t \t\t<div class=\"container\">\n\t\t \t\t\t<div class=\"col-md-10 col-md-offset-1 text-center js-fullheight slider-text\">\n\t\t \t\t\t\t<div class=\"slider-text-inner\">\n\t\t \t\t\t\t\t<h2>Human Mobility and Networks<\/h2>\n<p><h3><span style=\"color: #fff;\">Complex Systems and Network Sciences to Improve Urban Societies<\/span><\/h3><\/p>\n<p><font size=\"10\"><a href=\"\/index.php\/about\/\" class=\"btn btn-primary btn-lg\">Learn More<\/a><\/font><\/p>\n\t\t \t\t\t\t<\/div>\n\t\t \t\t\t<\/div>\n\t\t \t\t<\/div>\n\t\t \t<\/li>\n\t\t \t<li style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Slide-SFBayArea.jpg);\">\n\t\t \t\t<div class=\"container\">\n\t\t \t\t\t<div class=\"col-md-10 col-md-offset-1 text-center js-fullheight slider-text\">\n\t\t \t\t\t\t<div class=\"slider-text-inner\">\n\t\t \t\t\t\t\t<h2>Urban and Social Science<\/h2>\n\t\t \t\t\t\t\t\n\t\t \t\t\t\t<\/div>\n\t\t \t\t\t<\/div>\n\t\t \t\t<\/div>\n\t\t \t<\/li>\n\t\t \t<li style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Mercury-scaled-e1581170415689.jpg);\">\n\t\t \t\t<div class=\"container\">\n\t\t \t\t\t<div class=\"col-md-10 col-md-offset-1 text-center js-fullheight slider-text\">\n\t\t \t\t\t\t<div class=\"slider-text-inner\">\n\t\t \t\t\t\t\t<h2>Climate Change & AI<\/h2>\n\t\t \t\t\t\t\t\n\t\t \t\t\t\t<\/div>\n\t\t \t\t\t<\/div>\n\t\t \t\t<\/div>\n\t\t \t<\/li>\n\t\t \t<\/ul>\n\t \t<\/div>\n\t<\/aside>\n\n<!--\n<div id=\"video-header\">\n\t<div class=\"overlay\"><\/div>\n\t<video playsinline=\"playsinline\" autoplay=\"autoplay\" muted=\"muted\" loop=\"loop\">\n\t <source src=\"\/wp-content\/uploads\/2020\/02\/14799841-preview.mp4\" type=\"video\/mp4\">\n\t<\/video>\n\t<div class=\"container h-100 align-items-center\">\n\t <div class=\"d-flex h-100 text-center align-items-center\">\n\t\t<div class=\"w-100 text-white\">\n\t\t <p><font size=\"28\"><span style=\"color: #fff;\"><strong>Human Mobility and Networks<\/strong><\/span><\/font><\/p>\n\t\t<\/div>\n\t <\/div>\n\t<\/div>\n<\/div>\n-->\t\n\t<div id=\"gtco-features\">\n\t\t<div class=\"gtco-container\">\n\t\t\t<div class=\"row\">\n\t\t\t\t<div class=\"col-md-8 col-md-offset-2 text-center gtco-heading\">\n\t\t\t\t\t<h2>Research Areas<\/h2>\n<h4>We develop numerical models and computational tools to better characterize and understand human interactions in the built and natural environments.<\/h4>\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/MobilityNew.png)\"><\/div>\n <div class=\"aera-content\">\n\t\t\t\t\t\t\t<div class=\"text\">We analyze longitudinal series of pervasive data collected on mobile communication databases (smart phones, twitter logs, facebook, etc.) to generate estimates of urban mobility and use of the space.\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Mobility <\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/vector_energy.png)\"><\/div>\n <div class=\"aera-content\">\n\t\t\t\t\t\t\t<div class=\"text\">When not in movement, modern populations stay in buildings which consume energy. We estimate occupancy, heating and cooling energy consumption patterns in buildings and for electric and motorized vehicles.\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Energy<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/UrbanScienceNew.png)\"><\/div>\n <div class=\"aera-content\">\n\t\t\t\t\t\t\t<div class=\"text\">By analysing data on energy consumption or mobility demand it is possible formulate a picture of an urban system. These models allow us to understand travel times, consumption peaks and adoption patterns in remarkable predictable ways, knowing the urban density, patterns in their built landscape, or the population size.\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Urban Science<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/CompSocNew.png)\"><\/div>\n <div class=\"aera-content\">\n\t\t\t\t\t\t\t<div class=\"text\">Circadian rhythms generate consumption peaks that generate competitions for the use of roads, electric power or the space. Demand management strategies for the social good require the adoption of recommendations. We use data and computation to elucidate this complex process.\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Computational Social Science<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Climate-change-1.png)\"><\/div>\n <div class=\"aera-content\">\n\t\t\t\t\t\t\t<div class=\"text\">Knowing the everyday patterns of mobility and energy consumption allows us to inform recovery from Climate scale disruptions. Our focus is climate adaptation via modeling exposure, extreme event prediction\/response, and resilience to societal impacts.\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t <\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Humans & Changing Climate<\/h3>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<div id=\"gtco-features\">\n\t\t<div class=\"gtco-container\">\n\t\t\t<div class=\"row\">\n\t\t\t\t<div class=\"col-md-8 col-md-offset-2 text-center gtco-heading\">\n\t\t\t\t\t<h2>Highlighted Projects<\/h2>\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a href=\"\/index.php\/projects\/deepair\/\" class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/deepair-framework-simple.png)\"><\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">DeepAir<\/h3>\n\t\t\t\t\t\t\t\t<h5 class=\"category\">Deep learning and satellite imagery to estimate air quality impact at scale<\/h5>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a href=\"\/index.php\/projects\/bikes-planning\/\" class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Bikes_cover.jpg)\"><\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Bikes Planning<\/h3>\n\t\t\t\t\t\t\t\t<h5 class=\"category\">Planning the growth of bicycle infrastructures via percolation theory<\/h5>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n <a href=\"\/index.php\/projects\/NICE\/\" class=\"item-grid text-center\">\n <div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2021\/06\/NICE_Website_Figure.png)\"><\/div>\n <div class=\"v-align\">\n <div class=\"v-align-middle\">\n <h3 class=\"title\">NICE<\/h3>\n <h5 class=\"category\">Networked Infrastructures under Compound Extremes<\/h5>\n <\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a href=\"\/index.php\/projects\/urban-traffic\/\" class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/03\/Cover_UrbanTraffic.jpg)\"><\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Urban Traffic<\/h3>\n\t\t\t\t\t\t\t\t<h5 class=\"category\">Linking propagation of congestion patt- erns & macroscopic vehicle throughput<\/h5>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a href=\"\/index.php\/projects\/planning-evs\/\" class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Planning-EVs.png)\"><\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Planning EVs<\/h3>\n\t\t\t\t\t\t\t\t<h5 class=\"category\">Planning for EV needs by coupling charging profiles with urban mobility<\/h5>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n<div class=\"col-md-4 animate-box\">\n\t\t\t\t\t<a href=\"\/index.php\/projects\/facility-planning\/\" class=\"item-grid text-center\">\n\t\t\t\t\t\t<div class=\"image\" style=\"background-image: url(\/wp-content\/uploads\/2020\/02\/Facility-Planning.png)\"><\/div>\n\t\t\t\t\t\t<div class=\"v-align\">\n\t\t\t\t\t\t\t<div class=\"v-align-middle\">\n\t\t\t\t\t\t\t\t<h3 class=\"title\">Facility Planning<\/h3>\n\t\t\t\t\t\t\t\t<h5 class=\"category\">Deconstructing laws of accessibility and facility distribution in cities<\/h5>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n<div class=\"col-md-12 text-center animate-box\">\n\t\t\t\t\t<p><font text-decoration:none; color:#000;><a href=\"\/index.php\/projects\/\" class=\"btn btn-primary with-arrow\">View More Projects <i class=\"icon-arrow-right\"><\/i><\/a><\/font><\/p>\n\t\t\t\t<\/div>\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div id=\"gtco-testimonial\">\n\t\t<div class=\"gtco-container\">\n\t\t\t<!-- <div class=\"row\"> -->\n\t\t\t\t<div class=\"row animate-box\">\n\t\t\t\t\t<div class=\"col-md-8 col-md-offset-2 text-center gtco-heading\">\n\t\t\t\t\t\t<h2>People<\/h2>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"row animate-box\">\n\t\t\t\t\t\n\t\t\t\t\t<div class=\"owl-carousel owl-carousel-fullwidth \">\n\t\t\t\t\t\t<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/Marta-Gonzalez-web_200_200.jpg\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/marta-c-gonzalez\/\">Marta C. Gonz\u00e1lez, Director<\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>City and Regional Planning,<br>Civil and Environmental Engineering, UC Berkeley<br>Faculty Research Scientist (Physics), Energy Technologies Area, LBNL<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2021\/03\/tugba_headshot-1-850x782.png\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/ayse-tugba-ozturk\/\">Ayse Tugba Ozturk<\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>PhD Student<br>Civil and Environmental Engineering, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2023\/03\/jiaman_profile_cut-scaled.jpg\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/jiaman-wu\/\">Jiaman Wu<\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>PhD Student<br>Civil and Environmental Engineering, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2022\/08\/minho_profile-1-850x859.jpg\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/minho-kim\/\">Minho Kim<\/a><\/span>\n\t\t\t\t\t\t\t\t<!-- <span><a href=\"https:\/\/www.philchodrow.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Minho Kim<\/a><\/span> -->\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>PhD Student<br>Landscape Architecture and Environmental Planning, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2023\/03\/image.png\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/albert-cao\/\">Albert Cao<\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>PhD Student<br>Civil and Environmental Engineering, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2023\/09\/abdullah.png\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/abdullah-alhadlaq\/\">Abdullah Alhadlaq <\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>Phd Student<br>Civil and Environmental Engineering, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\n<div class=\"item\">\n\t\t\t\t\t\t\t<div class=\"testimony-slide active text-center\">\n\t\t\t\t\t\t\t\t<figure>\n\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/02\/aparimit.png\" alt=\"user\">\n\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t<span><a href=\"\/index.php\/people\/aparimit-kasliwal\/\">Aparimit Kasliwal<\/a><\/span>\n\t\t\t\t\t\t\t\t<blockquote>\n\t\t\t\t\t\t\t\t\t<p>PhD Student<br>Civil and Environmental Engineering, UC Berkeley<\/p>\n\t\t\t\t\t\t\t\t<\/blockquote>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n \n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<!-- <\/div> -->\n\t\t<\/div>\n\t<\/div>\n\n\n <html lang=\"en\">\n <head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <style>\n .gtco-tabs {\n width: 100%;\n overflow: hidden;\n }\n .gtco-tab-nav {\n list-style: none;\n padding: 0;\n margin: 0;\n display: flex;\n flex-wrap: wrap;\n justify-content: space-around;\n }\n .gtco-tab-nav li {\n flex: 1;\n text-align: center;\n }\n .gtco-tab-nav a {\n display: block;\n padding: 10px;\n text-decoration: none;\n color: black;\n transition: font-size 0.2s ease;\n }\n .gtco-tab-nav .icon {\n display: none;\n font-size: 10;\n }\n\n <\/style>\n <\/head>\n <body>\n \n <div id=\"gtco-services\">\n <div class=\"gtco-container\">\n \n <div class=\"row animate-box\">\n <div class=\"col-md-8 col-md-offset-2 text-center gtco-heading\">\n <h2>Highlighted Publications<\/h2>\n <p><\/p>\n <\/div>\n <\/div>\n\n <div class=\"row animate-box\">\n \n <div class=\"gtco-tabs\">\n <ul class=\"gtco-tab-nav\">\n <li class=\"active\"><a href=\"#\" data-tab=\"1\"><span class=\"icon visible-xs\">U<\/span><span class=\"hidden-xs\">Urban Science<\/span><\/a><\/li>\n <li><a href=\"#\" data-tab=\"2\"><span class=\"icon visible-xs\">M<\/span><span class=\"hidden-xs\">Mobility<\/span><\/a><\/li>\n <li><a href=\"#\" data-tab=\"3\"><span class=\"icon visible-xs\">EV<\/span><span class=\"hidden-xs\">EV Charging<\/span><\/a><\/li>\n <li><a href=\"#\" data-tab=\"4\"><span class=\"icon visible-xs\">H<\/span><span class=\"hidden-xs\">Humans<\/span><\/a><\/li>\n <li><a href=\"#\" data-tab=\"5\"><span class=\"icon visible-xs\">T<\/span><span class=\"hidden-xs\">Traffic Congestion<\/span><\/a><\/li>\n <li><a href=\"#\" data-tab=\"6\"><span class=\"icon visible-xs\">E<\/span><span class=\"hidden-xs\">Building Energy<\/span><\/a><\/li> \n <\/ul>\n\n <!-- Tabs -->\n <div class=\"gtco-tab-content-wrap\">\n\n <div class=\"gtco-tab-content tab-content active\" data-tab-content=\"1\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2024\/05\/2023_xu_natcompsci.png\" alt=\"user\">\n <\/div>\n <\/div>\n <div class=\"col-md-8\">\n <h2>Urban Science<\/h2>\n <p>The urban spatial structure represents the distribution of public and private spaces in cities and how people move within them. Although it usually evolves slowly, it can change quickly during large-scale emergency events, as well as due to urban renewal in rapidly developing countries. Here we present an approach to delineate such urban dynamics in quasi-real time through a human mobility metric, the mobility centrality index \u0394KS. As a case study, we tracked the urban dynamics of eleven Spanish cities during the COVID-19 pandemic. The results revealed that their structures became more monocentric during the lockdown in the first wave, but kept their regular spatial structures during the second wave. To provide a more comprehensive understanding of mobility from home, we also introduce a dimensionless metric, KSHBT, which measures the extent of home-based travel and provides statistical insights into the transmission of COVID-19.<\/p>\n <p><span style=\"color: #e8662b;\">Xu, Yanyan, et al. “Urban dynamics through the lens of human mobility.” Nature Computational Science 3 (2023): 611-620.<\/span><\/p>\n <\/div>\n <\/div>\n \n <div class=\"gtco-tab-content tab-content\" data-tab-content=\"2\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/TimeGeo_Page_01.png\" alt=\"user\">\n <\/div>\n <\/div>\n \n <div class=\"col-md-8\">\n <h2>TimeGeo<\/h2>\n <p>Well-established fine-scale urban mobility models today depend on detailed but cumbersome and expensive travel surveys for their calibration. Not much is known, however, about the set of mechanisms needed to generate complete mobility profiles if only using passive datasets with mostly sparse traces of individuals. In this study, we present a mechanistic modeling framework (TimeGeo) that effectively generates urban mobility patterns with resolution of 10 min and hundreds of meters. This framework allows us to fully embrace the massive amount of individual data generated by information and communication technologies (ICTs) worldwide to comprehensively model urban mobility without travel surveys.<\/p>\n <p><span style=\"color: #e8662b;\">Jiang, Shan, et al. “The TimeGeo modeling framework for urban mobility without travel surveys.” Proceedings of the National Academy of Sciences 113.37 (2016): E5370-E5378.<\/span><\/p>\n <\/div>\n <\/div>\n\n <div class=\"gtco-tab-content tab-content\" data-tab-content=\"3\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/NE_Xu_2018_Page_01.png\" alt=\"user\">\n <\/div>\n <\/div>\n <div class=\"col-md-8\">\n <h2>Electric Vehicle Charging<\/h2>\n <p>The rising adoption of plug-in electric vehicles (PEVs) leads to the temporal alignment of their electricity and mobility demands. However, mobility demand has not yet been considered in electricity planning and management. Here, we present a method to estimate individual mobility of PEV drivers at fine temporal and spatial resolution, by integrating three unique datasets of mobile phone activity of 1.39 million Bay Area residents, census data and the PEV drivers survey data. Through coupling the uncovered patterns of PEV mobility with the charging activity of PEVs in 580,000 session profiles obtained in the same region, we recommend changes in PEV charging times of commuters at their work stations and shave the pronounced peak in power demand. These results open avenues for planning for the future of coupled transportation and electricity needs using personalized data.<\/p>\n <p><span style=\"color: #e8662b;\">Xu, Yanyan, et al. “Planning for electric vehicle needs by coupling charging profiles with urban mobility.” Nature Energy 3.6 (2018): 484-493.<\/span><\/p>\n <\/div>\n <\/div>\n\n <div class=\"gtco-tab-content tab-content\" data-tab-content=\"4\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/Clemente_NC_2018_Page_1.png\" alt=\"user\">\n <\/div>\n <\/div>\n <div class=\"col-md-8\">\n <h2>Human Lifestyle<\/h2>\n <p>In human activities, Zipf’s law describes, for example, the frequency of appearance of words in a text or the purchase types in shopping patterns. In the latter, the uneven distribution of transaction types is bound with the temporal sequences of purchases of individual choices. In this work, we define a framework using a text compression technique on the sequences of credit card purchases to detect ubiquitous patterns of collective behavior. Clustering the consumers by their similarity in purchase sequences, we detect five consumer groups. Remarkably, post checking, individuals in each group are also similar in their age, total expenditure, gender, and the diversity of their social and mobility networks extracted from their mobile phone records. By properly deconstructing transaction data with Zipf-like distributions, this method uncovers sets of significant sequences that reveal insights on collective human behavior.<\/p>\n <p><span style=\"color: #e8662b;\">Di Clemente, Riccardo, et al. “Sequences of purchases in credit card data reveal lifestyles in urban populations.” Nature communications 9.1 (2018): 1-8.<\/span><\/p>\n <\/div>\n <\/div>\n\n <div class=\"gtco-tab-content tab-content\" data-tab-content=\"5\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/Luis_pnas_2018_Page_1.png\" alt=\"user\">\n <\/div>\n <\/div>\n <div class=\"col-md-8\">\n <h2>Traffic Congestion<\/h2>\n <p>Stories of mega-jams that last tens of hours or even days appear not only in fiction but also in reality. In this context, it is important to characterize the collapse of the network, defined as the transition from a characteristic travel time to orders of magnitude longer for the same distance traveled. In this study we focus on measuring the vulnerability of the system by increasing the volume of cars in the network, keeping the road capacity and the empirical spatial dynamics from origins to destinations unchanged. We identify three states of urban traffic, separated by two distinctive transitions. The first one describes the appearance of the first bottlenecks and the second one the collapse of the system. This collapse is marked by a given number of commuters in each city and it is formally characterized by a nonequilibrium phase transition.<\/p>\n <p><span style=\"color: #e8662b;\">Olmos, Luis E., et al. “Macroscopic dynamics and the collapse of urban traffic.” Proceedings of the National Academy of Sciences 115.50 (2018): 12654-12661.<\/span><\/p>\n <\/div>\n <\/div>\n\n <div class=\"gtco-tab-content tab-content\" data-tab-content=\"6\">\n <div class=\"col-md-4\">\n <div class=\"ico icon-figure\">\n <img decoding=\"async\" src=\"\/wp-content\/uploads\/2020\/02\/Ed_ncomm_2019_Page_01.png\" alt=\"user\">\n <\/div>\n <\/div>\n <div class=\"col-md-8\">\n <h2>Building Energy<\/h2>\n <p>Accurate occupancy is crucial for planning for sustainable buildings. Using massive, passively-collected mobile phone data, we introduce a novel framework to estimate building occupancy at unprecedented scale. We show that, at urban-scale, occupancy differs widely from current estimates based on building types. For commercial buildings, we find typical occupancy rates are 5 times lower than current assumptions imply, while for residential buildings occupancy rates vary widely by neighborhood. Our mobile phone based occupancy estimates are integrated with a state-of-the-art urban building energy model to understand their impact on energy use predictions.<\/p>\n <p><span style=\"color: #e8662b;\">Barbour, Edward, et al. “Planning for sustainable cities by estimating building occupancy with mobile phones.” Nature communications 10.1 (2019): 1-10.<\/span><\/p>\n <\/div>\n <\/div>\n\n <\/div>\n <div class=\"col-md-12 text-center animate-box\">\n <p><font text-decoration=\"none;\"><a href=\"\/index.php\/publications\/\" class=\"btn btn-primary with-arrow\"><span style=\"color: #fff;\">View More Publications<\/span><i class=\"icon-arrow-right\"><\/i><\/a><\/font><\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HuMNetLab, UC Berkeley Human Mobility and Networks Complex Systems and Network Sciences to Improve Urban Societies Learn More Urban and Social Science Climate Change & AI Research Areas We develop numerical models and computational tools to better characterize and understand human interactions in the built and natural environments. We analyze longitudinal series of pervasive data…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-78","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>HuMNet Lab - UC Berkeley<\/title>\n<meta name=\"description\" content=\"Human Mobility and Networks Lab, UC Berkeley. We develop numerical models and computational tools to better characterize and understand human interactions in the built and natural environments.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/humnetlab.berkeley.edu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HuMNet Lab - UC Berkeley\" \/>\n<meta property=\"og:description\" content=\"Human Mobility and Networks Lab, UC Berkeley. We develop numerical models and computational tools to better characterize and understand human interactions in the built and natural environments.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/humnetlab.berkeley.edu\/\" \/>\n<meta property=\"og:site_name\" content=\"HuMNet Lab\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-26T03:24:58+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/humnetlab.berkeley.edu\/\",\"url\":\"https:\/\/humnetlab.berkeley.edu\/\",\"name\":\"HuMNet Lab - UC Berkeley\",\"isPartOf\":{\"@id\":\"https:\/\/humnetlab.berkeley.edu\/#website\"},\"datePublished\":\"2020-02-06T13:34:16+00:00\",\"dateModified\":\"2024-05-26T03:24:58+00:00\",\"description\":\"Human Mobility and Networks Lab, UC Berkeley. 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