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Megacity Logistics Lab

Case Study

Case Study


Innovative theoretical and applied research to help companies operate better logistics for cities and governments to design better cities for logistics.

An Initiative of the MIT Center for Transportation & Logistics

Last Mile is a project focused on visualizing information relevant to logistic operations in different contexts, collecting and displaying urban and corporate information. Last Mile is composed of three different platforms: Km2, Loopa, Compass and CartoKm2.

Companies collect tens of thousands of data elements every day from a variety of systems and sensors in their logistics operations. Often, this data is archived and not used to improve or re-design their last-mile activities. Leveraging recent advances in data analytics, we are prototyping new algorithms that process GPS and cellphone traces to extract information on congestion, stop time times and dynamic route choices.

Megacity Challenges

10 M

Megacities are cities or major urban areas with populations over 10 million inhabitants. Most megacities are commonly located in developing nations and rapidly emerging markets. These cities will continue to expand both in population and area growth.

GDP

Thirty-one megacities around the world represent almost 15% of the global GDP and are expected to increase to 20% of the global GDP in the next 10 years.




20 K

Population densities in emerging markets like Mumbai can be as high as 20,000 inhabitants per square kilometer. This density is more than double than that of London or Manhattan. In these cities, development is rapid which places stress on existing transportation infrastructure.

Sophisticated modeling

In addition to helping companies use data they currently collect to analyze urban delivery routes in more detail, the MIT Megacity Logistics Lab is also developing more advanced modeling techniques. An example is a simulation of a megacity location that allows managers to move physical representations of resources, such as distribution centers, and see how such moves change the cost profile of a distribution network. The simulation functions as both a planning aid and a learning tool.

As megacities continue to expand, and the growth in ecommerce adds another layer of complexity to urban distribution networks, models that help companies to streamline the last mile will become even more important.

Why we do it

Logistics is an enabler of quality of life in cities: it delivers goods and services to city dwellers enabling them to enjoy all the benefits of the urban environment. There are, however, three major drivers of increased complexity of urban logistics networks that calls for a new thinking on city logistics.

First, urbanization is progressing at a high pace. While in 1950 only 54.5% of the population in developed countries was in urban areas, this number had risen to 77.7% by 2011 and is projected to reach 85.9% by 2050. Moreover, 25% of the world population and almost 60% of the world’s gross domestic product (GDP) will be found in the world’s 600 largest cities by 2025. Megacities, urban areas with over 10 million people, are an example of this new era of urbanization. Megacities allow us to focus in the most complex environments, but we aim for our work to be applied to urban areas of all sizes.

Second, the growth of Internet and mobile phone based electronic commerce is triggering an increasing amount of direct shipments from manufacturers and retailers to individuals. Direct deliveries do not only increase complexity of last-mile urban transportation networks, they also lead to fragmentation of shipments and higher complexity and greater need for coordination between consumers, retailers and manufacturers to distribute goods efficiently. These changes in consumer buying behaviors are a challenge and an opportunity to design future urban logistics networks.

Finally, on-going efforts from cities to invest in public transportation, limiting road access and parking spaces in favor of pedestrian and public transit infrastructure, disproportionally impact logistics operations. Since urban freight also generates an important share of congestion, pollution and other negative externalities, city logistics activities are always under pressure from regulatory actions. Private and public sector need to collaborate to find the right balance to improve the quality of life in the urban environment. Our work will bring together business, logistics and urban planning perspectives so we can develop technologies and policies that gets the most out of the limited urban space and infrastructure.

Projects

Projects

  • Insight Last Mile Development Credits: Matthias Winkenbach, Daniel Merchán, Sergio Caballero, Raúl Morales, Pablo Cárdenas & Gilberto Silva. Summer 2016.

Insight Last Mile

Insight Last Mile provides insights from a micro-level, company-centric perspective, and online simulation and optimization capabilities. It also provides researchers with interactive means to generate new insights in the domains of distribution network design, logistics data analysis, and urban freight policy design of their last-mile delivery operations.


  • CartoKM2 Development Credits: Rafael Escamilla, Manuel Farca, Lourdes Muñoz, Raúl Morales, Eduardo Bastida, Daniel Merchán & Edgar E Blanco. Summer 2015.

CartoKm2

CartoKM2 is a web platform designed to help cities develop and evaluate better urban freight policies. By combining high-resolution vehicle data from GPS traces, commercial transactions, and overall economic activity, CartoKM2 facilitates urban logistics stakeholders to explore the impact of freight in urban areas.


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Km2

KM2 is an open-access pool of data relevant for logistics policy analysis, at selected square-kilometers from around the world. This data was collected by students and researchers affiliated with the MIT Megacity Logistics Lab, supported by grants from the MIT Center for Transportation & Logistics, the MIT MISTI program and the MIT IROP program, alongside researchers at our affiliated Global Labs.


  • Compass Development Credits: Arturo Aguirre, Gabriel Arrieta,Salomón Wollenstein, Susana Cárdenas, Daniel Merchán, Sergio Caballero & Edgar E Blanco. Summer/Fall 2014.

Compass

Compass is an open source platform to visualize and analyze GPS traces.


  • Loopa Development Credits: Jorge Moreno Sánchez Briseño, Victor Manuel Martínez Farrera, Cecilia Silva Muñoz, Edgar E Blanco, Sergio A Caballero. Summer 2013.

Loopa

Through a simple to use interface and intuitive geographical navigation, we explore ways for companies to visualize large amounts of urban delivery transactional data.



Team

MEET THE TEAM

Matthias Winkenbach

Megacity Logistics Lab Director

Edgar Blanco

Megacity Logistics Founder

Sergio Caballero

Megacity Logistics Lab Researcher

Daniel Merchan

Megacity Logistics Lab Researcher

Raúl Morales Salcedo

Professor at Monterrey Tech

Lourdes Muñoz

Professor at Monterrey Tech

Eduardo Bastida

Professor at Monterrey Tech

Gilberto Silva

Student of Monterrey Tech

Pablo Cárdenas

Student of Monterrey Tech

Manuel Farca

Student of Monterrey Tech

Cecilia Silva

Student of Monterrey Tech

Gustavo Beauregard

Student of Monterrey Tech

Jorge Moreno

Student of Monterrey Tech

Manuel Martinez

Student of Monterrey Tech

Ana Méndez

Student of Monterrey Tech

José Cohen

Student of Monterrey Tech

Contact

CONTACT US

ITESM Campus Santa Fe
Av de los Poetas 100, Santa Fe, La Loma
01389 Ciudad de México, CDMX
megacitylab@mit.edu

A01018723@itesm.mx