{"id":10451,"date":"2021-04-29T10:03:17","date_gmt":"2021-04-29T08:03:17","guid":{"rendered":"https:\/\/blog.ptvgroup.com\/?p=10451"},"modified":"2025-06-05T07:48:28","modified_gmt":"2025-06-05T05:48:28","slug":"travel-demand-metro-madrid","status":"publish","type":"post","link":"https:\/\/blog.ptvgroup.com\/en\/modeling-planning\/travel-demand-metro-madrid\/","title":{"rendered":"How Metro de Madrid estimates travel demand in times of Covid"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]Since the outbreak of the corona pandemic, transit systems all over the world are struggling with a drop in travel demand and low passenger numbers<\/a>. New York City subway traffic, for example, is at just a third of the normal volume. In Madrid, passenger numbers dropped by 47% in 2020 compared to 2019. To maintain a high level of services in these demanding times, Metro de Madrid relies on a smart demand modeling solution.<\/p>\n

Spain\u2019s capital, home to almost 3.4 Million inhabitants, has one of the most extensive metro systems in the world, totaling 294 kilometers of railway network, 12 lines, and 302 stations. Normally, up to 2,7 million passengers use the subway every day \u2013 residents, commuters, and tourists visiting the second largest city in the European Union.<\/p>\n

To ensure efficient operations and a high-quality service, it is essential for providers to have a detailed overview of passenger flows and demand across the entire network.<\/p>\n

Travel demand model to optimize service <\/strong><\/p>\n

This is why the metro\u2019s operator, Metro de Madrid, does more than just monitor passenger volumes. It also combines passengers\u2019 counts and mobility patterns (from surveys<\/a> and use of different ticketing fares) with a transport planning model developed with PTV Visum<\/a> software. The model analyzes and estimates passenger flows and travel demand, which in turn helps the operative decision making.<\/p>\n

The model enables the Metro operator to optimize its transport service in a demand and service-oriented way. It allows to estimate the travel demand on different lines during different times of the day, and thus plan the capacity and number of trains needed. Passenger flows and the travel behavior of users can be analyzed and predicted across the entire network and in all areas – including stations, platforms, and vehicles.<\/p>\n

In the current pandemic, the demand model has become a key element for Metro de Madrid in adapting to the ever-changing situation as efficiently as possible and quickly adjusting schedules.<\/p>\n

Key element in covid response<\/strong><\/p>\n

In order to manage Covid safety regulations within the metro system, the model was extended with additional components. These components, for example, helps to decide where and when stations should be closed to avoid overcrowding.<\/p>\n

This supports transport planners of Metro de Madrid to make the right decisions and to find a good balance between higher capacities \u2013 needed to keep social distancing \u2013 and a general lower travel demand.<\/p>\n

Silvia Roldan, CEO of Metro de Madrid, explains on her LinkedIn account<\/a>: \u201cMetro de Madrid generates travel demand using a system that collects data on access at the pay gates of all metro stations. To model the movements, this information is constantly updated in PTV Visum. Thanks to the degree of experience, we have achieved with this tool and the development of complementary projects, we are able to update the change in travel behavior on a daily basis. The main one of these projects is the estimation of origin-destination matrices from TTP data. With this input, we are getting a good theoretical approximation to the estimated train occupancy in the changing conditions of these dates, and with that, we can ensure that the service offer we propose, meets the requirements that the health authorities are demanding.\u201d[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_cta h2=”” shape=”square” style=”flat” color=”black” add_button=”bottom” btn_title=”Discover it” btn_style=”flat” btn_shape=”square” btn_color=”white” css=”” btn_link=”url:https%3A%2F%2Fwww.ptvgroup.com%2Fen%2Fwhite-paper%2Ftransportation-modeling|target:_blank”]<\/p>\n

Public transport planning made easy<\/h2>\n

Our free guide to transportation modeling<\/p>\n

[\/vc_cta][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

To maintain a high level of service during the pandemic, the Madrid Metro relies on a smart demand modeling solution to plan and optimize its operations. […]<\/p>\n

Read More<\/a><\/p>\n","protected":false},"author":13,"featured_media":10452,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8326],"tags":[8380,8371],"ppma_author":[8266],"class_list":["post-10451","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-modeling-planning","tag-public-transport","tag-urban-mobility"],"yoast_head":"\nHow Madrid Metro deals with travel demand during corona| PTV Blog<\/title>\n<meta name=\"description\" content=\"A demand modelling solution helps Madrid Metro to keep good service during the Covid pandemic. 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