Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Redirigiendo al acceso original de articulo en 17 segundos...
ARTÍCULO
TITULO

Analysis of trip generation rates in residential commuting based on mobile phone signaling data

Fei Shi    
Le Zhu    

Resumen

Agyemang-Duah, K., & Hall, F. L. (1997). Spatial transferability of an ordered response model of trip generation. Transportation Research Part A Policy & Practice, 31(5), 389?402.

Palabras claves

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
André Tchoia Relógio and Fernando Oliveira Tavares    
This study aimed to investigate the level of client satisfaction among airline passengers and other users of Huambo?s airport in Angola. A quantitative method was used, based on a questionnaire addressed to airline passengers on their trips to Huambo and... ver más
Revista: Urban Science

 
Kushagra Sinha and Sanjay Gupta    
With the considerable growth in the information and communication technology (ICT), several smartphone-based mobility platforms have already sprung up and they have the potential of transforming the mobility ecosystem completely. However, there is close ... ver más
Revista: Urban Science

 
Yicong Li, Tong Zhang, Xiaofei Lv, Yingxi Lu and Wangshu Wang    
It is important to capture passengers? public transit behavior and their mobility to create profiles, which are critical for analyzing human activities, understanding the social and economic structure of cities, improving public transportation, assisting... ver más

 
Dominique Gillis, Angel J. Lopez and Sidharta Gautama    
The use of smartphone tracking is seen as the way forward in data collection for travel behavior studies. It overcomes some of the weaknesses of the classical approach (which uses paper trip diaries) in terms of accuracy and user annoyance. This article ... ver más

 
Sergio Nesmachnow and Andrei Tchernykh    
Urban mobility and strategies for public transportation play a vital role in promoting a more sustainable, accessible, and livable urban environment in smart cities. Data-driven decision making, multi-modal integration, and innovative means are key eleme... ver más
Revista: Urban Science