Planning

Planning for Sustainable Cities by Estimating Building Occupancy with Mobile Phones

Barbour, Edward
Davila, Carlos Cerezo
Gupta, Siddharth
Reinhart, Christoph
Kaur, Jasleen
González, Marta C.
2019

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...

Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development

Alhasoun, Fahad
González, Marta
2019

The classification of streets on road networks has been focused on the vehicular transportational features of streets such as arterials, major roads, minor roads and so forth based on their transportational use. City authorities on the other hand have been shifting to more urban inclusive planning of streets, encompassing the side use of a street combined with the transportational features of a street. In such classification schemes, streets are labeled for example as commercial throughway, residential neighborhood, park etc. This modern approach to urban planning has been adopted by major...

Urban Street Contexts Classification Using Convolutional Neural Networks and Streets Imagery

Alhasoun, Fahad
González, Marta
2019

The classification of streets on road networks has been focused on the vehicular transportational features of streets. Examples of street labels include arterials, major roads, minor roads and so forth based on their transportational use. City authorities on the other hand have been shifting to more wholistic planning of streets. The modern approach towards designing and planning streets is more inclusive of the street context, meaning the side use of a street combined with the transportational features of a street. Several city authorities are developing new classification schemes for...

Street Context of Various Demographic Groups in their Daily Mobility

Salgado, Ariel
Li, Weixin
Alhasoun, Fahad
Caridi, Inés
Gonzalez, Marta
2021

We present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. We consider street context as the inferred usage of the street, based on its buildings and construction, categorized in nine possible labels. The labels define whether the street is residential, commercial or downtown, throughway or not, and other special categories. We apply the analysis to the City of Boston, considering daily trajectories synthetically generated...

Share, Collaborate, Benchmark: Advancing Travel Demand Research through rigorous open-source collaboration

Caicedo, Juan D.
Guirado, Carlos
González, Marta C.
Walker, Joan L.
2024

This research foregrounds general practices in travel demand research, emphasizing the need to change our ways. A critical barrier preventing travel demand literature from effectively informing policy is the volume of publications without clear, consolidated benchmarks, making it difficult for researchers and policymakers to gather insights and use models to guide decision-making. By emphasizing reproducibility and open collaboration, we aim to enhance the reliability and policy relevance of travel demand research. We present a collaborative infrastructure for transit demand prediction...

Population Evacuation in Motion: Harnessing Disaster Evolution for Effective Dynamic Emergency Response

Idoudi, Hassan
Li, Weixin
Ameli, Mostafa
González, Marta C.
Zargayouna, Mahdi
2024

This study introduces a robust Dynamic Population Evacuation (DPE) framework in response to the escalating challenges in wildfire-urban interface regions. The DPE model elevates emergency response strategies by seamlessly integrating traffic simulation, real-time mobility tracking, optimization systems leveraging advanced algorithms, and cloud-based communication. The offline component of the framework focuses on pre-disaster preparation by optimizing the allocation of evacuation shelters and generating initial route plans for impacted populations, incorporating changing on-the-ground...

The Role of Geography in the Complex Diffusion of Innovations

Lengyel, Balázs
Bokányi, Eszter
Di Clemente, Riccardo
Kertész, János
González, Marta C.
2020

The urban–rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion across locations and through social connections can provide us with new insights into the spread of information, technological progress and economic development. In this work, we analyze the spatial adoption dynamics of iWiW, an Online Social Network (OSN) in Hungary and uncover empirical features about the spatial adoption in social networks. During its entire life cycle from 2002 to 2012, iWiW reached up to 300 million...

Behavioral Analysis of Airline Scheduled Block Time Adjustment

Kang, Lei
Hansen, Mark
2017

Scheduled block time (SBT) is the time between gate departure and gate arrival assumed by airlines for use in published timetables and operations planning. SBT setting has critical impacts on airlines’ operating cost and on-time performance. Air carriers regularly update their SBTs to respond to changing operating conditions and evolving business strategies. Most existing studies have focused on investigating the impact of SBT on on-time performance or predicting SBT based on historical performance and market characteristics. However, the dynamics of adjusting SBT, which may allow deeper...

Flight Trajectory Design in the Presence of Contrails: Application of a Multiphase Mixed-integer Optimal Control Approach

Soler Arnedo, Manuel Fernando
Zou, Bo
Hansen, Mark
2014

In this paper we study the 4D trajectory planning problem in a contrail sensitive environment. We identify the control inputs that steer the aircraft from the initial fix to the final fix following a horizontal route of waypoints while performing step climbs and descents, in order to minimize the overall flying cost of fuel consumption, CO2 emissions, passenger travel time, and persistent contrail formation. The optimal trajectory design problem is formulated as a multiphase mixed integer optimal control problem, which is converted into a mixed integer non-linear program by first making...

Fuel Consumption and Operational Performance

Ryerson, Megan S
Hansen, Mark
Bonn, James
2011

Reducing fuel consumption is a major goal for the aviation community due to environmental concern and fuel price uncertainty. The Federal Aviation Administration (FAA) is currently developing and implementing Air Traffic Management (ATM) technologies to ensure reliable operational performance that is robust to delays caused by congestion and weather. These technologies will reduce planned and unexpected airborne delays; as such they will reduce the airline practice of schedule padding, or contingency planning for excess fuel and time consumption on a give route, as well as airborne and...