Theo dõi
João de Abreu e Silva
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Improving mobility by optimizing the number, location and usage of loading/unloading bays for urban freight vehicles
AR Alho, JA e Silva, JP de Sousa, E Blanco
Transportation Research Part D: Transport and Environment 61, 3-18, 2018
1192018
Home telework and household commuting patterns in Great Britain
PC Melo, JA e Silva
Transportation Research Part A: Policy and Practice 103, 1-24, 2017
1142017
Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust
AM Dastjerdi, S Kaplan, JA e Silva, OA Nielsen, FC Pereira
Transportation Research Part A: Policy and Practice 126, 114-135, 2019
932019
Does home-based telework reduce household total travel? A path analysis using single and two worker British households
JA e Silva, PC Melo
Journal of Transport Geography 73, 148-162, 2018
932018
Effects of land use characteristics on residence and employment location and travel behavior of urban adult workers
JA Silva, TF Golob, KG Goulias
Transportation Research Record 1977 (1), 121-131, 2006
922006
Analyzing the relation between land-use/urban freight operations and the need for dedicated infrastructure/enforcement—Application to the city of Lisbon
AR Alho, JA e Silva
Research in Transportation Business & Management 11, 85-97, 2014
892014
Home telework, travel behavior, and land-use patterns
J De Abreu e Silva, PC Melo
Journal of Transport and Land Use 11 (1), 419-441, 2018
862018
Using structural equations modeling to unravel the influence of land use patterns on travel behavior of workers in Montreal
JA e Silva, C Morency, KG Goulias
Transportation Research Part A: Policy and Practice 46 (8), 1252-1264, 2012
722012
Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006
Y Shen, JA e Silva, LM Martínez
Journal of Transport Geography 41, 184-196, 2014
702014
Utilizing urban form characteristics in urban logistics analysis: a case study in Lisbon, Portugal
AR Alho, JA e Silva
Journal of Transport Geography 42, 57-71, 2015
692015
Freight-trip generation model: predicting urban freight weekly parking demand from retail establishment characteristics
AR Alho, JA Silva
Transportation Research Record 2411 (1), 45-54, 2014
652014
Regional impacts of high-speed rail: A review of methods and models
G Chen, JA Silva
Transportation Letters 5 (3), 131-143, 2013
652013
Modelling preferences for smart modes and services: a case study in Lisbon
CF Choudhury, L Yang, JA e Silva, M Ben-Akiva
Transportation Research Part A: Policy and Practice 115, 15-31, 2018
572018
Modeling retail establishments’ freight trip generation: a comparison of methodologies to predict total weekly deliveries
AR Alho, J de Abreu e Silva
Transportation, 1-18, 2015
542015
A state-of-the-art modeling framework to improve congestion by changing the configuration/enforcement of urban logistics loading/unloading bays
A Alho, JA e Silva, JP de Sousa
Procedia-Social and Behavioral Sciences 111, 360-369, 2014
522014
Smart cities: definitions, evolution of the concept, and examples of initiatives
F Moura, J de Abreu e Silva
Industry, innovation and infrastructure, 989-997, 2021
502021
Open-ended versus closed-ended responses: A comparison study using topic modeling and factor analysis
V Baburajan, JA e Silva, FC Pereira
IEEE transactions on intelligent transportation systems 22 (4), 2123-2132, 2020
482020
The relationship between young people׳ s transit use and their perceptions of equity concepts in transit service provision
S Kaplan, JA e Silva, F Di Ciommo
Transport policy 36, 79-87, 2014
482014
Estimating the provincial economic impacts of high-speed rail in Spain: An application of structural equation modeling
G Chen, JA e Silva
Procedia-Social and Behavioral Sciences 111, 157-165, 2014
482014
Using latent attitudinal variables estimated through a structural equations model for understanding carpooling propensity
GHA Correia, JM Viegas
Transportation Planning and Technology 36 (6), 2013
472013
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