{"id":6317,"date":"2026-09-28T13:11:06","date_gmt":"2026-09-28T13:11:06","guid":{"rendered":"https:\/\/catlec.cl\/behavior-aware-location-optimization-and-risk-sensitive-capacity-sizing-for-shared-e-bike-systems-to-reduce-urban-co2-emissions\/"},"modified":"2026-10-07T23:39:42","modified_gmt":"2026-10-07T23:39:42","slug":"behavior-aware-location-optimization-and-risk-sensitive-capacity-sizing-for-shared-e-bike-systems-to-reduce-urban-co2-emissions","status":"publish","type":"post","link":"https:\/\/catlec.cl\/en-us\/behavior-aware-location-optimization-and-risk-sensitive-capacity-sizing-for-shared-e-bike-systems-to-reduce-urban-co2-emissions\/","title":{"rendered":"Behavior-aware location optimization and risk-sensitive capacity sizing for shared e-bike systems to reduce urban CO2 emissions"},"content":{"rendered":"\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Fecha:<\/strong> 25\/09\/2026<br\/><strong>Autores: <\/strong>Gonzalo M\u00e9ndez-Vogel <sup>ab<\/sup>, Marcel Favereau <sup>cb<\/sup><\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>a<\/sup>Universidad Andr\u00e9s Bello, Department of Engineering Sciences, Autop.Concepci\u00f3n \u2013 Talcahuano, 7100, Concepci\u00f3n, Chile<\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>b<\/sup><a href=\"https:\/\/catlec.cl\/en-us\/\" data-type=\"link\" data-id=\"catlec.cl\" target=\"_blank\" rel=\"noreferrer noopener\">Center for Advanced Transportation, Logistics, and Economic Competitiveness<\/a> (CATLEC), ANID\/CIN 250061, Santiago, Chile<\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><sup>c<\/sup>Facultad de Ingenier\u00eda y Ciencias Aplicadas, Universidad de los Andes, Chile, Santiago, Chile<\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Scientific journal \/ publisher:<\/strong> <a href=\"https:\/\/www.sciencedirect.com\/journal\/computers-and-industrial-engineering\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">Computers &amp; Industrial Engineering<\/mark><\/a><\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>Abstract o breve resumen:<\/strong> Urban transportation is a major source of greenhouse gas emissions, which motivates cities to promote shared micromobility systems such as electric bicycles. These systems can reduce emissions by replacing short car trips with e-bike trips; however, initial deployment decisions are often based on limited integration of user behavior and on operational uncertainty, which can negatively affect adoption and service reliability. This paper presents a behavior-aware optimization framework for planning station-based shared e-bike networks, with the aim of reducing urban CO2 emissions. Potential users are represented through a discrete choice model, from which adoption probabilities for pairs of candidate stations are estimated a priori, based on station accessibility, trip attributes, and monetary costs. Station locations are optimized to maximize expected avoided emissions, and a subsequent simulation-based sizing step evaluates operational reliability under stochastic demand. Using a case study in Santiago, Chile, the results indicate that a relatively small, well-located network can deliver a large share of the achievable emissions reduction. A 100-station configuration captures more than half of the maximum expected avoided emissions obtained with much larger deployments. The simulation further reveals marked heterogeneity in capacity needs and shows that shortages at a small set of high-demand hubs can disproportionately degrade service and threaten sustained mode shift. These findings support planning approaches that combine strategic location with reliability-oriented sizing to enable robust, low-risk investments in shared e-bike infrastructure.        <\/p>\n\n<p class=\"has-medium-font-size wp-block-paragraph\"><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.1016\/j.cie.2026.112393\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">https:\/\/doi.org\/10.1016\/j.cie.2026.112393<\/mark><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fecha: 25\/09\/2026Autores: Gonzalo M\u00e9ndez-Vogel ab, Marcel Favereau cb aUniversidad Andr\u00e9s Bello, Department of Engineering Sciences, Autop.Concepci\u00f3n \u2013 Talcahuano, 7100, Concepci\u00f3n,<\/p>\n","protected":false},"author":4,"featured_media":6318,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[172,174,173],"tags":[175,178,177,176],"class_list":["post-6317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-papers","category-papers-2","category-scientific-articles","tag-gonzalo-mendez-vogel","tag-marcel-favereau","tag-smart-urban-logistics","tag-transportation-for-livable-cities"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Behavior-aware location optimization and risk-sensitive capacity sizing for shared e-bike systems to reduce urban CO2 emissions - CATLEC<\/title>\n<meta name=\"description\" content=\"Estudio CATLEC propone un modelo para optimizar estaciones de bicicletas el\u00e9ctricas compartidas 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