Mapeamento colaborativo como fonte de dados para o planejamento urbano: desafios e potencialidades

Machado, Adriana Alexandria; Camboim, Silvana Philippi

doi:10.1590/2175-3369.011.e20180142

Cited by 7 publications

(11 citation statements)

References 21 publications

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“…Among the primary VGI services are OpenStreetMap (https://www.openstreetmap.org accessed on 21 June 2021)) (OSM) and Waze (https://www.waze.com (accessed on 21 June 2021)). The high cost of production to create and maintain official spatial data and the increasing availability of VGI initiatives have encouraged researchers and governments to seek ways to integrate these data sources to obtain a more up-to-date dataset with a lower production cost [6,[23][24][25][26][27][28].…”

Section: Spatial Data Integrationmentioning

confidence: 99%

“…There are two primary sources for such data: authoritative or voluntary. Authoritative data are usually produced by governmental agencies at a high production cost, therefore are highly reliable, but difficult to keep up-to-date [6,7]. Voluntarily contributed data uses the population as producers (or sensors), often for free.…”

Section: Introductionmentioning

confidence: 99%

“…Reliability is often an issue, but updating frequency can be high and coverage can be extensive if there are enough volunteers. Complementing and updating official source data with volunteered data is increasingly necessary, especially in places with little infrastructure for urban data maintenance [6].…”

Section: Introductionmentioning

confidence: 99%

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Creation of a Multimodal Urban Transportation Network through Spatial Data Integration from Authoritative and Crowdsourced Data

Smarzaro

Davis

Quintanilha

2021

IJGI

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One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usually, are used isolated from each other. The lack of an integrated view of the entire multimodal urban transportation network (MUTN) brings difficulties to citizens and urban planning. However, obtaining reliable and up-to-date spatial data is not an easy task. To address this problem, we propose a framework for creating a multimodal urban transportation network by integrating spatial data from heterogeneous sources. The framework standardizes the representation of different datasets through a common conceptual model for spatial data (schema matching), uses topological, geometric, and semantic information to find matches among objects from different datasets (data matching), and consolidated them into a single representation using data fusion techniques in a complementary, redundant and cooperative way. Spatial data integration makes it possible to use reliable data from official sources (possibly outdated and expensive to produce) and crowdsourced data (continuously updated and low cost to use). To evaluate the framework, a MUTN for the Brazilian city of Belo Horizonte was built integrating authoritative and crowdsourced data (OpenStreetMap, Foursquare, Facebook Places, Google Places, and Yelp), and then it was used to compute routes among eighty locations using four transportation possibilities: walk, drive, transit, and drive–walk. The time and distance of each route were compared against their equivalent from Google Maps, and the results point to a great potential for using the framework in urban computing applications that require an integrated view of the entire multimodal urban transportation network.

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Section: Spatial Data Integrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Creation of a Multimodal Urban Transportation Network through Spatial Data Integration from Authoritative and Crowdsourced Data

Smarzaro

Davis

Quintanilha

2021

IJGI

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“…Como expone Rodríguez Rojas et al (2012), la enseñanza del urbanismo ha estado vinculada desde sus orígenes al empleo de cartografías temáticas necesarias para los análisis territoriales; del papel se pasó a la digitalización de los mapas generando una gran cantidad de información muchas veces disponible en servidores web. Además, en simultáneo se da la producción de datos por herramientas socio colaborativas como OpenStreetMap (osm) donde se produce y están disponibles múltiples datos geoespaciales actualizados y abiertos por medio de Internet (Machado & Camboim, 2019).…”

Section: Nuevos Marcos Interpretativos Para La Enseñanza Del Urbanismounclassified

Innovación social y comunidades de aprendizaje en la enseñanza del urbanismo. Aportes del Observatorio Metropolitano de Tucumán (Argentina)

Frenzel

Czytajlo

Politi

et al. 2021

TERRIT

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Este artículo reflexiona sobre experiencias en entornos colaborativos de construcción y socialización de conocimiento desde el campo disciplinar del urbanismo que se desarrolla en un espacio de la universidad pública —el Observatorio de Fenómenos Urbanos y Territoriales—, a partir de la articulación de funciones de docencia, investigación y extensión. Se expone el uso de los mapas colaborativos como una metodología en el proceso de enseñanza-aprendizaje que promueve el reconocimiento y análisis del territorio metropolitano de la provincia de Tucumán, con indicadores y cartografía de temas vinculados a las políticas públicas y la nueva agenda urbana. Como resultado, se aportan experiencias pedagógicas desde las dimensiones emergentes de la planificación y el urbanismo: el género, el paisaje, la vulnerabilidad y el riesgo; así como innovaciones y herramientas replicadas en el contexto de pandemia, aislamiento social y virtualización de la enseñanza.

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“…(GOODCHILD, 2010). According to Machado and Camboim (2019), many governments are studying the possibility of interacting with collaborative mapping and accepting the contribution of geospatial data produced by common citizens, mainly through platforms such as OSM. Among main motivations are: on one hand, the potential of citizens to act as sensors in environment where they live and the reduction in mapping costs; and, on other hand, use of population's knowledge to support decision making and land management.…”

Section: Introductionmentioning

confidence: 99%

Integration of Authoritative and Volunteered Geographic Information for Updating Urban Mapping: Challenges and Potentials

Fernandes

Elias

Zipf

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper provides a bibliometric review between integration of authoritative and volunteered geographic information for the purpose of cartographic updating of urban mappings. The adopted methodology was through a bibliometric survey of the literature published by Web of Science and Science Direct. The period was evaluated from 2005 to 2020 and the keywords used were: integration of authoritative data, volunteered geographic information, VGI, large scale topographic mapping, Authoritative urban mapping. The number of publications found was small for the topic that deals with this integration, totalizing 14 articles at Web of Science and 23 at Science Direct. 38% of them were published in the International Journal of Geo Information (ISPRS), 16% in the International Journal of Geographical Information Science. 5% were published in the Cartography and Geographic Information Science and the Computer Geosciences respectively. The other 36% is shown in several other journals, approximately 3% each. Regarding the origin of publications, 25% are in Germany (University of Heidelberg), 14% in the UK (New Castle University), 13% in China (Wuhan University), 11% in Canada (Calgary University), and other countries show percentages between 3% and 5%. Among the research, areas are physical geography, remote sensing, computer science, information science, engineering, and public administration. Among themes addressed in the articles, potentials can be pointed out as existence of models which institutions can implement management of information received collaboratively, existence of several methodologies for quality control of this information so that they can be integrated into authoritative data that are called as data conflation. Methodologies for handling big data and semantic interoperability, as well as automation of processes. This data potential is not only on platforms such as OpenStreetMap, but also on data collected through scraping from social networks such as twitter, sites, and others. Among the challenges, there are still somethings to investigate regarding consideration of temporal, historic, political, and economic aspects, as well as the consideration of legal aspects. The integration of this volunteered geographic information is necessary, mainly in cities with economic and cultural difficulties to maintain their mapping up to date, as well as the difficulty of accessing information that allows access to authoritative data.

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Mapeamento colaborativo como fonte de dados para o planejamento urbano: desafios e potencialidades

Cited by 7 publications

References 21 publications

Creation of a Multimodal Urban Transportation Network through Spatial Data Integration from Authoritative and Crowdsourced Data

Creation of a Multimodal Urban Transportation Network through Spatial Data Integration from Authoritative and Crowdsourced Data

Innovación social y comunidades de aprendizaje en la enseñanza del urbanismo. Aportes del Observatorio Metropolitano de Tucumán (Argentina)

Integration of Authoritative and Volunteered Geographic Information for Updating Urban Mapping: Challenges and Potentials

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