scholarly journals Data-Driven Modelling and Simulation of Urban Transportation Systems Using Carma

2018 ◽  
pp. 274-287 ◽  
Author(s):  
Natalia Zon ◽  
Stephen Gilmore
Keyword(s):  
Urban Transportation ◽  
Transportation Systems ◽  
Modelling And Simulation ◽  
Data Driven

Data-Driven Urban Performance Measures

2017 ◽  
Vol 2605 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Burak Cesme ◽  
Stephanie Dock ◽  
Ryan Westrom ◽  
Kevin Lee ◽  
Jorge Andres Barrios
Keyword(s):  
Performance Measures ◽  
Selection Process ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Reliable Data ◽  
Data Sources ◽  
Data Driven ◽  
Urban Context ◽  
Quality Of Data ◽  
Mobility Performance

Performance measures typically are used by transportation agencies to measure progress toward organizational goals. As cities have reoriented their transportation priorities toward people instead of cars and have put more emphasis on multimodal transportation options, relatively few studies have identified measures that capture the urban context and are sensitive to the multimodal nature of urban transportation systems. Moreover, some studies have focused only on the measures without fully considering the available resources needed to capture these measures and the limitations in data. This lack often hampers implementation of performance measures and prevents agencies from creating a sustainable and reliable performance measurement program. The research presented in this paper defined a data-driven framework for monitoring mobility performance for urban transportation systems through a case study in the District of Columbia, conducted as part of an overall study to understand better the state of the District's transportation system. The study identified multimodal measures that were repeatable and that were supported by readily available, attainable, and reliable data sources. Measures that were common and could be compared across modes were considered in the selection process. The initial list was then refined and prioritized according to the data inventory by considering the availability and quality of data sources. Twelve multimodal measures that can be supported by valid, usable, and reliable data sets are recommended in the final metric list for evaluating multimodal mobility in the District.

Hybrid-Data Approach for Estimating Trip Purposes

2021 ◽  
pp. 036119812110184
Author(s):  
Xiaoling Luo ◽  
Adrian Cottam ◽  
Yao-Jan Wu ◽  
Yangsheng Jiang
Keyword(s):  
Transportation Systems ◽  
Data Driven ◽  
Trip Purpose ◽  
Additional Information ◽  
Point Of Interest ◽  
Average Accuracy ◽  
Hybrid Data ◽  
Added Benefit ◽  
Data Source ◽  
High Level

Trip purpose information plays a significant role in transportation systems. Existing trip purpose information is traditionally collected through human observation. This manual process requires many personnel and a large amount of resources. Because of this high cost, automated trip purpose estimation is more attractive from a data-driven perspective, as it could improve the efficiency of processes and save time. Therefore, a hybrid-data approach using taxi operations data and point-of-interest (POI) data to estimate trip purposes was developed in this research. POI data, an emerging data source, was incorporated because it provides a wealth of additional information for trip purpose estimation. POI data, an open dataset, has the added benefit of being readily accessible from online platforms. Several techniques were developed and compared to incorporate this POI data into the hybrid-data approach to achieve a high level of accuracy. To evaluate the performance of the approach, data from Chengdu, China, were used. The results show that the incorporation of POI information increases the average accuracy of trip purpose estimation by 28% compared with trip purpose estimation not using the POI data. These results indicate that the additional trip attributes provided by POI data can increase the accuracy of trip purpose estimation.

scholarly journals Sustainable urban transportation development in China: A behavioral perspective

2021 ◽  
Author(s):  
Shuai Ling ◽  
Shoufeng Ma ◽  
Ning Jia
Keyword(s):  
Traffic Management ◽  
Rapid Development ◽  
Demand Management ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Transportation Demand ◽  
Special Cases ◽  
Traffic Systems ◽  
Four Levels ◽  
Transportation Development

AbstractThe rapid development of economics requires highly efficient and environment-friendly urban transportation systems. Such requirement presents challenges in sustainable urban transportation. The analysis and understanding of transportation-related behaviors provide one approach to dealing with complicated transportation activities. In this study, the management of traffic systems is divided into four levels with a structural and systematic perspective. Then, several special cases from the perspective of behavior, including purchasing behaviors toward new energy vehicles, choice behaviors toward green travel, and behavioral reactions toward transportation demand management policies, are investigated. Several management suggestions are proposed for transportation authorities to improve sustainable traffic management.

scholarly journals Guest Editorial Diversification in Urban Transportation Systems and Beyond: Integrating People and Goods for the Future of Mobility

2021 ◽  
Vol 22 (4) ◽  
pp. 2008-2012
Author(s):  
Antonio Bucchiarone ◽  
Sandro Battisti ◽  
Teresa Galvao Dias ◽  
Philip Feldman
Keyword(s):  
Guest Editorial ◽  
Urban Transportation ◽  
Transportation Systems ◽  
The Future
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