Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Advances on Urban Mobility Using Innovative Data-Driven Models
This chapter presents recent experiences using open data from different cities to extract and structure knowledge about several aspects of mobility in urban areas. Most of them are dedicated to Curitiba, Brazil, a large city in Southern Brazil recognized since 1960s as innovative in urban planning and transportation. Three approaches are considered for modeling mobility from open data: complex network models, link stream models, and computing origin–destination in transport and traffic of vehicles. Complex network models of transportation systems reveal structures that characterize patterns in transportation. Links stream models capture the temporal behavior of transportation systems, and provide information about congestion, transfer of passengers, and bunching phenomena. Moreover, this chapter brings research on approaches for characterizing origin and destinations in public and private transport. Based on data from smart card ticketing in public transportation, relevant information is gathered about people using public transport for displacement in different hours of the day. On the other hand, taxi trips recorded during a day can characterize private transport, providing the information to map relevant flows of vehicles in a city with eventual impact on traffic. Results of origin–destination of vehicles in Oporto, Portugal, are presented. The experiences of the successful Smart City Concepts in Curitiba project are reported as well, which represents a triple helix model involving academia, public, and private sectors. Its results are discussed with emphasis on the relationship between partners and how they can be shared across different players that affect urban organization and public policies for urban areas.
Advances on Urban Mobility Using Innovative Data-Driven Models
This chapter presents recent experiences using open data from different cities to extract and structure knowledge about several aspects of mobility in urban areas. Most of them are dedicated to Curitiba, Brazil, a large city in Southern Brazil recognized since 1960s as innovative in urban planning and transportation. Three approaches are considered for modeling mobility from open data: complex network models, link stream models, and computing origin–destination in transport and traffic of vehicles. Complex network models of transportation systems reveal structures that characterize patterns in transportation. Links stream models capture the temporal behavior of transportation systems, and provide information about congestion, transfer of passengers, and bunching phenomena. Moreover, this chapter brings research on approaches for characterizing origin and destinations in public and private transport. Based on data from smart card ticketing in public transportation, relevant information is gathered about people using public transport for displacement in different hours of the day. On the other hand, taxi trips recorded during a day can characterize private transport, providing the information to map relevant flows of vehicles in a city with eventual impact on traffic. Results of origin–destination of vehicles in Oporto, Portugal, are presented. The experiences of the successful Smart City Concepts in Curitiba project are reported as well, which represents a triple helix model involving academia, public, and private sectors. Its results are discussed with emphasis on the relationship between partners and how they can be shared across different players that affect urban organization and public policies for urban areas.
Advances on Urban Mobility Using Innovative Data-Driven Models
Augusto, Juan Carlos (Herausgeber:in) / Rosa, Marcelo O. (Autor:in) / Fonseca, Keiko V. O. (Autor:in) / Kozievitch, Nádia P. (Autor:in) / De-Bona, Anderson A. (Autor:in) / Curzel, Jeferson L. (Autor:in) / Pando, Luciano U. (Autor:in) / Prestes, Olga M. (Autor:in) / Lüders, Ricardo (Autor:in)
Handbook of Smart Cities ; Kapitel: 57 ; 1199-1235
10.07.2021
37 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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