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Assessing public transit performance using real-time data: spatiotemporal patterns of bus operation delays in Columbus, Ohio, USA / Yongha Park in International journal of geographical information science IJGIS, vol 34 n° 2 (February 2020)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 34 n° 2 (February 2020) . - pp 367 - 392 Titre : Assessing public transit performance using real-time data: spatiotemporal patterns of bus operation delays in Columbus, Ohio, USA Type de document : Article/Communication Auteurs : Yongha Park, Auteur ; Jerry Mount, Auteur ; Luyu Liu, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 367 - 392 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] base de données spatiotemporelles [Termes IGN] Colombus (Ohio) [Termes IGN] diffusion de données [Termes IGN] géolocalisation [Termes IGN] interface web [Termes IGN] mobilité urbaine [Termes IGN] réseau de transport [Termes IGN] temps réel [Termes IGN] trafic routier [Termes IGN] transport public Résumé : (auteur) Public transit vehicles such as buses operate within shared transportation networks subject to dynamic conditions and disruptions such as traffic congestion. The operational delays caused by these conditions can propagate downstream through scheduled transit routes, affecting system performance beyond the initial delay. This paper develops an approach to measuring and assessing vehicle delay propagation in public transit systems. We fuse data on scheduled bus service with real-time vehicle location data to measure the originating, cascading and recovery locations of delay events across space with respect to time. We integrate the resulting patterns to construct stop-specific delay propagation networks. We also analyze the spatiotemporal patterns of propagating delays using parameters such as 1) transit line-based network distance, 2) total propagating delay size, and 3) distance decay. We apply our methodology using publicly available schedule and real-time location data from the Central Ohio Transit Authority (COTA) public bus system in Columbus, Ohio, USA. We find that delay initiation is spatially and temporally uneven, concentrating on specific stops in downtown and specific suburban locations. Core stops play a critical role in propagating delays to a wide range of connected stops, eventually having a disproportional impact on the on-time performance of the bus system. Numéro de notice : A2020-030 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1608997 Date de publication en ligne : 30/04/2019 En ligne : https://doi.org/10.1080/13658816.2019.1608997 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94485 [article]

New perspectives on the use of GPS and GIS to support a highway performance study / D. Tong in Transactions in GIS, vol 13 n° 1 (February 2009)  

Public [article]  inTransactions in GIS > vol 13 n° 1 (February 2009) . - pp 69 - 85 Titre : New perspectives on the use of GPS and GIS to support a highway performance study Type de document : Article/Communication Auteurs : D. Tong, Auteur ; B. Coifman, Auteur ; C.J. Merry, Auteur Année de publication : 2009 Article en page(s) : pp 69 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] autoroute [Termes IGN] Colombus (Ohio) [Termes IGN] intégration de données [Termes IGN] outil d'aide à la décision [Termes IGN] performance [Termes IGN] positionnement par GPS [Termes IGN] système d'information géographique [Termes IGN] trafic routier Résumé : (Auteur) In recent decades, rapid growth of travel volume has resulted in a significant increase in traffic congestion, accidents, environmental pollution and energy consumption. Accurate traffic data are drastically needed for effective evaluation of traffic systems in order to alleviate the impacts of increasing travel volume of the quality of life and economic development of urban areas. This article provides a discussion on a data acquisition methodology for highway traffic pattern recognition and congestion analysis by integrating data from the global positioning system (GPS) with a geographic information system (GIS). The GPS technology is a powerful tool in capturing continuous positioning and timing information, whereas the GIS is capable of storing, managing, manipulating, analyzing and displaying the acquired spatial information. Compared to previous studies, the effective integration of the two technologies allows for traffic analysis to be conducted at a finer resolution. The proposed method is illustrated with a case study on multiple major highway segments in Columbus, Ohio. Copyright Blackwell Publishing Numéro de notice : A2009-545 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2009.01144.x En ligne : https://doi.org/10.1111/j.1467-9671.2009.01144.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30174 [article]

Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery / C. Wu in Remote sensing of environment, vol 93 n° 4 (15/12/2004)  

Public [article]  inRemote sensing of environment > vol 93 n° 4 (15/12/2004) . - pp 480 - 492 Titre : Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery Type de document : Article/Communication Auteurs : C. Wu, Auteur Année de publication : 2004 Article en page(s) : pp 480 - 492 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] Colombus (Ohio) [Termes IGN] contrôle par télédétection [Termes IGN] image Landsat-ETM+ [Termes IGN] impact sur l'environnement [Termes IGN] milieu urbain [Termes IGN] surface imperméable [Termes IGN] utilisation du sol [Termes IGN] variable biophysique (végétation) [Termes IGN] végétation Résumé : (Auteur) With rapid urban growth in recent years, understanding urban biophysical composition and dynamics becomes an important research topic. Remote sensing technologies introduce a potentially scientific basis for examining urban composition and monitoring its changes over time. The vegetation-impervious surface-soil (V-I-S) model, in particular, provides a foundation for describing urban/suburban environments and a basis for further urban analyses including urban growth modeling, environmental impact analysis, and socioeconomic factor estimation. This paper develops a normalized spectral mixture analysis (NSMA) method to examine urban composition in Columbus (Ohio) using Landsat ETM+ data. In particular, a brightness normalization method is applied to reduce brightness variation. Through this normalization, brightness variability within each V-I-S component is reduced or eliminated, thus allowing a single endmember representing each component. Further, with the normalized image, three endmembers, vegetation, impervious surface, and soil, are chosen to model heterogeneous urban composition using a constrained spectral mixture analysis (SMA) model. The accuracy of impervious surface estimation is assessed and compared with two other existing models. Results indicate that the proposed model is a better alternative to existing models, with a root mean square error (RMSE) of 10.1% for impervious surface estimation in the study area. Numéro de notice : A2004-461 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.08.003 En ligne : https://doi.org/10.1016/j.rse.2004.08.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26981 [article]

A spatial access-oriented implementation of a 3-D GIS topological data model for urban entities / J. Lee in Geoinformatica, vol 8 n° 3 (septembre - novembre 2004)  

Public [article]  inGeoinformatica > vol 8 n° 3 (septembre - novembre 2004) . - pp 237 - 264 Titre : A spatial access-oriented implementation of a 3-D GIS topological data model for urban entities Type de document : Article/Communication Auteurs : J. Lee, Auteur Année de publication : 2004 Article en page(s) : pp 237 - 264 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] accessibilité [Termes IGN] analyse combinatoire (maths) [Termes IGN] analyse spatiale [Termes IGN] Colombus (Ohio) [Termes IGN] diagramme de Voronoï [Termes IGN] graphe [Termes IGN] implémentation (informatique) [Termes IGN] interaction spatiale [Termes IGN] modèle conceptuel de données localisées [Termes IGN] objet géographique urbain [Termes IGN] Ohio (Etats-Unis) [Termes IGN] relation topologique [Termes IGN] requête spatiale [Termes IGN] SIG 3D Résumé : (Auteur) 3-D analysis in GIS is still one of the most challenging topics for research. With the goal being to model possible movement within the built environment, this paper, therefore, proposes a new approach to handling connectivity relationships among 3-D objects in urban environments in order to implement spatial access analyses in 3-D Npace. To achieve this goal, this paper introduces a 3-D network data model called the geometric network model (GNM), which has been developed by transforming the combinatorial data model (CDM), representing a connectivity relationship among 3-D objects using a dual graph. For the transformation, this paper presents (1) an O(n2) algorithm for computing a straight medial axis transformation (MAT), (2) the processes for transforming phenomena from 3-D CDM to 3-D GNM, and (3) spatial access algorithms for the 3-D geometric network based upon the Dijkstra algorithm. Using the reconstructed geometric network generated from the transformations, spatial queries based upon the complex connectivity relationships between 3-D urban entities are implemented using Dijkstra algorithm. Finally, the paper presents the results of an experimental implementation of a 3-D network data model (GNM) using GIS data of an area in downtown Columbus, Ohio. Numéro de notice : A2004-325 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1023/B:GEIN.0000034820.93914.d0 En ligne : https://doi.org/10.1023/B:GEIN.0000034820.93914.d0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26852 [article]

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