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	<description>Geoanalytics — Geodata into Value.</description>
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		<title>Walking traffic estimation for location intelligence in Portugal</title>
		<link>https://www.unica360.com/blog/walking-traffic-estimation-for-location-intelligence-in-portugal/</link>
					<comments>https://www.unica360.com/blog/walking-traffic-estimation-for-location-intelligence-in-portugal/#respond</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Fri, 26 Jun 2026 11:39:55 +0000</pubDate>
				<category><![CDATA[Location Intelligence]]></category>
		<category><![CDATA[Movilidad & Urbanismo]]></category>
		<category><![CDATA[passer-by]]></category>
		<category><![CDATA[walking traffic]]></category>
		<category><![CDATA[walking traffic Lisboa]]></category>
		<category><![CDATA[walking traffic map Portugal]]></category>
		<category><![CDATA[walking traffic Porto]]></category>
		<category><![CDATA[walking traffic Portugal]]></category>
		<category><![CDATA[walking traffic Portugal location intelligence]]></category>
		<category><![CDATA[walking traffic simulation]]></category>
		<category><![CDATA[walking traffic simulation Portugal]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18537</guid>

					<description><![CDATA[The analysis of pedestrian traffic usually begins with an apparently simple question: how many people pass by this point? That question starts from a conceptual limitation. It measures a specific phenomenon without first understanding the system that generates it. Human beings deciding to take routes from one location to another for a purpose.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/walking-traffic-estimation-for-location-intelligence-in-portugal/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Vehicle Traffic Simulation: Applications in Location Intelligence</title>
		<link>https://www.unica360.com/blog/vehicle-traffic-simulation-applications-in-location-intelligence/</link>
					<comments>https://www.unica360.com/blog/vehicle-traffic-simulation-applications-in-location-intelligence/#respond</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Fri, 26 Jun 2026 10:51:51 +0000</pubDate>
				<category><![CDATA[Movilidad & Urbanismo]]></category>
		<category><![CDATA[location intelligence]]></category>
		<category><![CDATA[mobility simulation]]></category>
		<category><![CDATA[publicidad exterior]]></category>
		<category><![CDATA[traffic simulation]]></category>
		<category><![CDATA[vehicle mobility]]></category>
		<category><![CDATA[vehicles]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18481</guid>

					<description><![CDATA[Estimating and simulating vehicle traffic by road segment provides key information for a wide variety of analytical projects. From the demand for service stations and restaurants to the design of transport networks and out-of-home advertising audiences. Below, we look at...]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/vehicle-traffic-simulation-applications-in-location-intelligence/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Pedestrian Traffic Applications in Location Intelligence</title>
		<link>https://www.unica360.com/blog/pedestrian-traffic-applications-in-location-intelligence/</link>
					<comments>https://www.unica360.com/blog/pedestrian-traffic-applications-in-location-intelligence/#respond</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Mon, 18 May 2026 12:11:56 +0000</pubDate>
				<category><![CDATA[Location Intelligence]]></category>
		<category><![CDATA[pedestria traffic estimation]]></category>
		<category><![CDATA[pedestrian location intelligence]]></category>
		<category><![CDATA[pedestrian mobility]]></category>
		<category><![CDATA[pedestrian mobility simulation]]></category>
		<category><![CDATA[pedestrian traffic location intelligence]]></category>
		<category><![CDATA[tráfico peatonal]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18486</guid>

					<description><![CDATA[Pedestrian traffic is one of the most relevant indicators in location intelligence projects. Given the difficulty of knowing exactly the number of passers-by when we need to analyze a high number of locations, the ideal approach is to work with...]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/pedestrian-traffic-applications-in-location-intelligence/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Simulación de tráfico vehicular en México mediante agentes</title>
		<link>https://www.unica360.com/blog/simulacion-trafico-vehicular-agentes/</link>
					<comments>https://www.unica360.com/blog/simulacion-trafico-vehicular-agentes/#respond</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Fri, 20 Mar 2026 08:51:08 +0000</pubDate>
				<category><![CDATA[Simulación de Movilidad]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18405</guid>

					<description><![CDATA[El análisis del tráfico vehicular en México suele comenzar con una pregunta aparentemente sencilla: ¿cuántos vehículos pasan por este punto? Esta pregunta, aunque intuitiva, esconde una limitación profunda. Se centra en medir un fenómeno puntual sin comprender el sistema que lo genera.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/simulacion-trafico-vehicular-agentes/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Geoenrichment API for Location Intelligence: Microterritory Data at Scale</title>
		<link>https://www.unica360.com/blog/geoenrichment-api-location-intelligence-microterritory-data-scale/</link>
					<comments>https://www.unica360.com/blog/geoenrichment-api-location-intelligence-microterritory-data-scale/#comments</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Thu, 12 Mar 2026 09:10:41 +0000</pubDate>
				<category><![CDATA[Location Intelligence]]></category>
		<category><![CDATA[geodata api]]></category>
		<category><![CDATA[geoenrichment api]]></category>
		<category><![CDATA[geomarketing api]]></category>
		<category><![CDATA[geomarketing data]]></category>
		<category><![CDATA[location intelligence data]]></category>
		<category><![CDATA[mobility api]]></category>
		<category><![CDATA[sociodemographics api]]></category>
		<category><![CDATA[tourism data ap]]></category>
		<category><![CDATA[traffic api]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18383</guid>

					<description><![CDATA[Organizations increasingly rely on location intelligence data to understand markets, optimize networks of physical locations, and model demand across cities and regions. Retailers, financial institutions, urban planners, mobility operators, and real estate platforms all face a similar challenge: the value of their analytics depends critically on the quality, granularity, and accessibility of spatial data.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/geoenrichment-api-location-intelligence-microterritory-data-scale/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>Simulación de tráfico peatonal en México mediante agentes</title>
		<link>https://www.unica360.com/blog/simulacion-trafico-peatonal-mexico-agentes/</link>
					<comments>https://www.unica360.com/blog/simulacion-trafico-peatonal-mexico-agentes/#comments</comments>
		
		<dc:creator><![CDATA[Guillermo Córdoba Recio]]></dc:creator>
		<pubDate>Thu, 26 Feb 2026 13:02:31 +0000</pubDate>
				<category><![CDATA[Simulación de Movilidad]]></category>
		<category><![CDATA[conteo peatones]]></category>
		<category><![CDATA[estimación tráfico peatonal]]></category>
		<category><![CDATA[mapa tráfico peatonal]]></category>
		<category><![CDATA[movilidad activa México]]></category>
		<category><![CDATA[simulación tráfico]]></category>
		<category><![CDATA[simulación tráfico peatonal]]></category>
		<category><![CDATA[simulación transeúntes]]></category>
		<category><![CDATA[tráfico frente a tienda]]></category>
		<category><![CDATA[tráfico peatonal]]></category>
		<category><![CDATA[tráfico peatonal México]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18347</guid>

					<description><![CDATA[El análisis del tráfico peatonal suele comenzar con una pregunta aparentemente sencilla: ¿cuántas personas pasan por este punto? Esa pregunta, aunque legítima, parte de una limitación conceptual. Mide un fenómeno puntual sin comprender el sistema que lo genera.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/simulacion-trafico-peatonal-mexico-agentes/feed/</wfw:commentRss>
			<slash:comments>3</slash:comments>
		
		
			</item>
		<item>
		<title>Data for geomarketing and location intelligence: microtarget indicators in other countries</title>
		<link>https://www.unica360.com/blog/data-for-geomarketing-and-location-intelligence-microtarget-indicators-in-other-countries/</link>
					<comments>https://www.unica360.com/blog/data-for-geomarketing-and-location-intelligence-microtarget-indicators-in-other-countries/#respond</comments>
		
		<dc:creator><![CDATA[Achim Baldus]]></dc:creator>
		<pubDate>Wed, 17 Sep 2025 09:09:42 +0000</pubDate>
				<category><![CDATA[microtarget]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Customer intelligence]]></category>
		<category><![CDATA[geomarketing]]></category>
		<category><![CDATA[location intelligence]]></category>
		<category><![CDATA[micromarketing]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18108</guid>

					<description><![CDATA[Today we conclude our series of articles in which we aimed to provide more detailed information about the dataset encompassed under the microtarget umbrella developed by unica360.
In this final installment, we will talk about the microtarget indicators we have developed for some other countries and the possibilities of carrying out these same developments in new territories.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/data-for-geomarketing-and-location-intelligence-microtarget-indicators-in-other-countries/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Datos para geomarketing y location intelligence: indicadores microtarget en otros países</title>
		<link>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-indicadores-microtarget-en-otros-paises/</link>
					<comments>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-indicadores-microtarget-en-otros-paises/#respond</comments>
		
		<dc:creator><![CDATA[Achim Baldus]]></dc:creator>
		<pubDate>Wed, 17 Sep 2025 07:16:04 +0000</pubDate>
				<category><![CDATA[microtarget]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[Customer intelligence]]></category>
		<category><![CDATA[geomarketing]]></category>
		<category><![CDATA[Inteligencia de clientes]]></category>
		<category><![CDATA[location intelligence]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18049</guid>

					<description><![CDATA[Hoy finalizamos nuestra serie de artículos con los que hemos pretendido dar a conocer con más detalle el conjunto de datos englobados bajo el paraguas de microtarget desarrollado por unica360.   
En esta última entrega vamos a hablar sobre los indicadores microtarget que hemos desarrollados para algunos otros países y las posibilidades de llevar a cabo estos mismos desarrollos en nuevos territorios.]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-indicadores-microtarget-en-otros-paises/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Datos para geomarketing &#8211; indicadores de estilos de vida</title>
		<link>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-microtarget-xii-indicadores-de-percepcion-de-calidad-de-vida-actitudes-y-valores-y-estilos-de-vida/</link>
					<comments>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-microtarget-xii-indicadores-de-percepcion-de-calidad-de-vida-actitudes-y-valores-y-estilos-de-vida/#respond</comments>
		
		<dc:creator><![CDATA[Achim Baldus]]></dc:creator>
		<pubDate>Wed, 10 Sep 2025 10:37:25 +0000</pubDate>
				<category><![CDATA[microtarget]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[cuadro de mando geográfico]]></category>
		<category><![CDATA[Customer intelligence]]></category>
		<category><![CDATA[geomarketing]]></category>
		<category><![CDATA[Inteligencia de clientes]]></category>
		<category><![CDATA[location intelligence]]></category>
		<category><![CDATA[micromarketing]]></category>
		<category><![CDATA[segmentación estratégica]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=18014</guid>

					<description><![CDATA[Continuamos hoy nuestra serie de artículos con los que pretendemos dar a conocer con más detalle el conjunto de datos englobados bajo el paraguas de microtarget desarrollado por unica360.   
En esta duodécima entrega presentaremos el último de los indicadores microterritoriales disponible para la totalidad del territorio español: se trata de un conjunto de indicadores que reflejan la percepción de los ciudadanos sobre calidad de vida, sus actitudes y valores y sus estilos de vida. Describiremos este modelo, así como las diferentes aplicaciones prácticas de este conjunto de datos para location intelligence, geomarketing y customer intelligence. ]]></description>
		
					<wfw:commentRss>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-microtarget-xii-indicadores-de-percepcion-de-calidad-de-vida-actitudes-y-valores-y-estilos-de-vida/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Datos para geomarketing &#8211; tipología de clasificación de barrios</title>
		<link>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-microtarget-xi-tipologia-de-clasificacion-de-barrios/</link>
					<comments>https://www.unica360.com/blog/datos-para-geomarketing-y-location-intelligence-microtarget-xi-tipologia-de-clasificacion-de-barrios/#respond</comments>
		
		<dc:creator><![CDATA[Achim Baldus]]></dc:creator>
		<pubDate>Tue, 02 Sep 2025 10:30:30 +0000</pubDate>
				<category><![CDATA[microtarget]]></category>
		<category><![CDATA[Business Analytics]]></category>
		<category><![CDATA[Business Intelligence]]></category>
		<category><![CDATA[cuadro de mando geográfico]]></category>
		<category><![CDATA[Customer intelligence]]></category>
		<category><![CDATA[geomarketing]]></category>
		<category><![CDATA[Inteligencia de clientes]]></category>
		<category><![CDATA[location intelligence]]></category>
		<category><![CDATA[micromarketing]]></category>
		<category><![CDATA[segmentación de clientes]]></category>
		<category><![CDATA[sociodemografía]]></category>
		<category><![CDATA[Tipología de barrios]]></category>
		<guid isPermaLink="false">https://www.unica360.com/?p=17984</guid>

					<description><![CDATA[Continuamos hoy nuestra serie de artículos con los que pretendemos dar a conocer con más detalle el conjunto de datos bajo la marca microtarget desarrollado por unica360.   
En esta undécima entrega vamos a presentar con más detalle el modelo de generación de tipología para la clasificación de barrios, describiendo la metodología utilizada y los datos de partida utilizados, así como algunas de sus aplicaciones prácticas. ]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
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