Cálculo de indicadores de calidad de servicio del sistema de transporte público de Santiago a partir de datos pasivos

Quality service measures are calculated for the public transport system of the city ofSantiago using smartcard bip! transactions and buses GPS data. After developing criteria to filter atypical trips (that represents less of 10% of the estimated trips), quality service indicators are defined. The results obtained are quite promising, because indicators that are useful for planning, reliable and low cost are obtained. This allows thinking that the traditional measurement methods can be complemented – and in some cases replaced– by these new data sources.A partir de datos de transacciones bip! y de emisiones GPS de buses se calculan indicadores de calidad de servicio para el sistema de transporte público de la ciudad de Santiago. Luego de desarrollar criterios para filtrar viajes anómalos (que representan menos del 10% de los viajes estimados) se definen indicadores de calidad de servicio. Los resultados obtenidos son bastante prometedores, ya que se logra obtener indicadores útiles para la planificación con mucha precisión y bajo costo. Esto permite pensar que los métodos tradiciones de medición pueden ser  complementados – y en algunos casos reemplazados – por estas nuevas fuentes de información

Transport surveys considerations for decision makers and decision making

Abstract\r This book provides an international perspective on improving information to support transportation decision making. It comprises a selection of papers plus workshop syntheses from the 9th International Conference on Transport Survey Methods in Chile in November 2011. The conference was organized into 14 workshops with both paper presentations and discussions in the workshops forming the majority of the conference activity. The papers reported primarily on research pertaining to continuous improvement in transport survey methods the backbone of the transportation data pipeline in most countries. But some papers also addressed the new ways in which innovation notably technological innovation is being applied to the capture and analysis of data to produce necessary information faster, better, and less expensively. The conference program built on a rich legacy of intellectual pursuits spanning the past two decades, and it is anticipated that the conference will continue into the future. Thus, the contents of this book represent a 510 year view through a moving window on the international state of the practice and concerns in transport survey methods. Document type: Part of book or chapter of boo

Combination of High Prevalence Sign/Symptom Pairs: An Approach to the Diagnosis of Cushing’s Syndrome

Most of the clinical features of Cushing’s syndrome (CS) are nonspecific and could be present in obesity, particularly when this condition is associated with metabolic syndrome. Our objective was to evaluate the frequency of clinical manifestations and changes in general laboratory tests, in patients with confirmed endogenous CS, to identify diagnostic dyads. We evaluated in each patient the rate of coexistence of 2 elements either: symptoms, clinical signs, or laboratory alteration. The prevalence of a combined pair of clinical features or dyad in over 30% of the cases, was considered clinically significant. Fourteen dyads were identified as clinically relevant. Facies + buffalo hump; facies + eosinopenia; buffalo hump + supraclavicular fat pads and facies + supraclavicular fat pads, were present in over 50% of cases. Facies + muscular atrophy; centripetal fat distribution + muscular atrophy and facies + striae were present in 42–49%. Hirsutism/acne + eosinopenia; buffalo hump + eosinopenia; muscular atrophy+ eosinopenia; eosinopenia + accelerated weight gain; buffalo hump + muscular atrophy; hirsutism/acne + muscular atrophy and hirsutism/acne + supraclavicular fat pads, were observed in 33–38% of patients. Its application will facilitate the correct diagnosis of CS

Transport survey methods - in the era of big data facing new and old challenges

International audienceThis document presents an introduction to the ISCTSC Special Issue of Transport Research Procedia. It synthesizes the discussions held at the 11th International Conference on Transport Survey Methods, and describes the contents of the selected contributions. This conference has been held in different countries from all over the world, involving an increasing group of enthusiastic and generous specialists, willing to share their knowledge. This 11th conference was an opportunity to discuss the state of the art on transport survey methods, but also to question the way transport surveys are conducted in the era of big data. We took the opportunity to identify the main challenges, and the most important questions

Workshop 8 report: Big data in the digital age and how it can benefit public transport users

This paper synthesizes evidence from Workshop 8 ‘Big data in the digital age and how it can benefit public transport users’ of the 15th International Conference on Competition and Ownership in Land Passenger Transport. Big data in public transportation has increasingly attracted the attention from both scientists and practitioners, resulting in an increasing number of scientific studies and practical applications in this field. However, compared to the scientific developments, we see that practical big data applications are relatively limited, and that these are applied with a relatively low pace. This indicates that big data has not been used to its full potential in practice yet, meaning that public transport passengers currently do not fully benefit from the opportunities big data offers in terms of public transport quality and attractiveness. Based on literature study and input gained from a qualitative expert session with scientists, public transport authorities, public transport operators and transport consultants together during the conference workshop, we come to the conclusion that the challenges to stimulate further and faster use of big data in practice are institutional rather than technical. This complexity results from required coordination and cooperation among public and private entities that are not always aligned. A framework has been proposed with four components to stimulate a further and faster adoption of big data in practice, directing to different stakeholders or relations between stakeholders: align technical ambitions of big data applications with their institutional environment; enable/ease the use of big data by PT authorities by developing common definitions, data standards and consolidation; incorporate the use of big data by PT operators in the contract between authority and operator; quantify and visualize the business value of big data for PT operators. We illustrate our framework by successful case studies in Chile, the Netherlands and Sweden

Estimación de zona de residencia en base a sistemas tecnológicos de transporte público

Public transport systems with electronic fare collection devices continuously store data related to the trips made by the users, which contain valuable information. However, when the card is not personalized, there is no socioeconomic information, and that constrains the analyses that can be made. This works presents a method to estimate zone of residence of the users behind the cards, which will allow socioeconomic variables imputation by zone of residence, enriching the analysis possibilities. We also show travel time, transfer time and time use profiles by aggregate zone, showing that indeed there are differences.Los sistemas de transporte público con recolección de tarifa electrónica almacenan continuamente datos de los viajes realizados por los usuarios, que contienen valiosa información. Sin embargo, cuando la tarjeta no es personalizada se desconoce la información socioeconómica del pasajero, lo cual limita las posibilidades de análisis. Este trabajo presenta una metodología para estimar la zona de residencia de los usuarios detrás de las tarjetas, que permitirá imputar información socioeconómica asociada a la zona de residencia, enriqueciendo el análisis. Se presenta además tiempos de viaje, trasbordo y perfiles de uso de tiempo por zona agregada, mostrando que efectivamente existen diferencias

Embracing Technological and Behavioral Changes: A Synthesis

AbstractThis document presents an introduction to the ISCTSC Special Issue of Transport Research Procedia. It synthesizes the discussions held at the 10th International Conference on Transport Survey Methods, and describes the contents of the selected contributions. This conference has been held in different countries from all over the world, involving an increasing group of enthusiastic and generous specialists, willing to share their knowledge. This 10th conference was an opportunity to discuss the state of the art on transport survey methods, but also to question the way transport surveys are conducted. We took the opportunity to identify the main challenges, and the most important questions

Estimación de zona de residencia en base a sistemas tecnológicos de transporte público

Public transport systems with electronic fare collection devices continuously store data related to the trips made by the users, which contain valuable information. However, when the card is not personalized, there is no socioeconomic information, and that constrains the analyses that can be made. This works presents a method to estimate zone of residence of the users behind the cards, which will allow socioeconomic variables imputation by zone of residence, enriching the analysis possibilities. We also show travel time, transfer time and time use profiles by aggregate zone, showing that indeed there are differences.Los sistemas de transporte público con recolección de tarifa electrónica almacenan continuamente datos de los viajes realizados por los usuarios, que contienen valiosa información. Sin embargo, cuando la tarjeta no es personalizada se desconoce la información socioeconómica del pasajero, lo cual limita las posibilidades de análisis. Este trabajo presenta una metodología para estimar la zona de residencia de los usuarios detrás de las tarjetas, que permitirá imputar información socioeconómica asociada a la zona de residencia, enriqueciendo el análisis. Se presenta además tiempos de viaje, trasbordo y perfiles de uso de tiempo por zona agregada, mostrando que efectivamente existen diferencias