Subsidising urban and sub-urban transport – distributional impacts by Nils Fearnley, Jørgen Aarhaug

“…This is done by document studies and travel surveys, supplemented by expert inquiries. Results We find that high-income groups, served by regional trains and high-speed crafts, receive large per passenger and per passenger-kilometre subsidy, while lower-income areas, typically served by local and regional buses, metros and local trains, receive lower subsidies per passenger. …”
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Detecting activity type from GPS traces using spatial and temporal information by Tao Feng, Harry J.P. Timmermans

“…Detecting activity types from GPS traces has been important topic in travel surveys. Compared to inferring transport mode, existing methods are still relatively inaccurate in detecting activity types due to the simplicity of their assumptions and/or lack of background information. …”
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Discovering urban spatial-temporal structure from human activity patterns by Jiang, Shan, Ferreira, Joseph, Jr., Gonzalez, Marta C.

“…Statistical and data mining techniques, as proposed in this paper, go a long way in improving our knowledge about human activities extracted from travel surveys. As of today, most urban simulators have not yet incorporated the various types of individuals by their daily activities. …”
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Qui se cache derrière la baisse de la mobilité automobile en Île-de-France ? Une analyse typologique des pratiques modales des actifs occupés franciliens by Laurent Proulhac

“…A typological analysis is conducted based on data from the last two Paris region household travel surveys. This approach identifies who are the workers behind the decrease in private car use. …”
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Émissions de CO2 liées à la mobilité domicile-travail : une double lecture par le lieu de résidence et le lieu de travail des actifs à Lyon et à Lille by Louafi Bouzouina, Bernard Quetelard, Florence Toilier

“…By combining census data and household travel surveys in two different urban areas, Lille and Lyon, our aim is first to measure the CO2 emissions related to commuting and secondly, to identify the most emitting CO2 zone from the point of view of the residences and jobs location in the two contexts. …”
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Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System by Kim, Youngsung, Ghorpade, Ajinkya, Zhao, Fang, Pereira, Francisco C., Zegras, Pericles C, Ben-Akiva, Moshe E

“…However, data acquired through traditional interview-based travel surveys is often inaccurate and insufficient. Recently, a human mobility sensing system, called Future Mobility Survey (FMS), was developed and used to collect travel data from more than 1,000 participants. …”
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Entre contraintes et innovation : évolutions de la mobilité quotidienne dans les villes d’Afrique subsaharienne by Lourdes Diaz Olvera, Didier Plat, Pascal Pochet, Maïdadi Sahabana

“…Far from a low uniform mobility level, household travel surveys show evidence of a diversity of mobilities, which are constrained, sometimes even hindered, and present different characteristics according to cities and individuals. …”
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Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth. by Andreas Bjerre-Nielsen, Kelton Minor, Piotr Sapieżyński, Sune Lehmann, David Dreyer Lassen

“…Our results suggest that Wi-Fi and Bluetooth can be useful in urban transportation research, for example by improving mobile travel surveys and urban sensing applications.…”
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Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method by NAZARLOO, A., FEYZI, M. R., SABAHI, M., BANNAE SHARIFIAN, M. B.

“…Considering that the penetration of EVs and state of charge (SOC) of battery at any time is random, this paper extracts and analyzes the data that is available through national household travel surveys (NHTS). In order to determine the desired parameters, two stochastic algorithms are integrated with Monte Carlo simulations. …”
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Quantifying the effect of human population mobility on malaria risk in the Peruvian Amazon by Gabriel Carrasco-Escobar, Jose Matta-Chuquisapon, Edgar Manrique, Jorge Ruiz-Cabrejos, Jose Luis Barboza, Daniel Wong, German Henostroza, Alejandro Llanos-Cuentas, Tarik Benmarhnia

“…In this study conducted in rural Peruvian Amazon, we used self-reported travel surveys and GPS trackers coupled with a Bayesian spatial model to quantify the role of HPM on malaria risk. …”
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Agent-Based Approach for (Peri-)Urban Inter-Modality Policies: Application to Real Data from the Lille Metropolis by Azise Oumar Diallo, Guillaume Lozenguez, Arnaud Doniec, René Mandiau

“…Moreover, we propose some methodological elements to identify the individuals’ profiles using public data (census and travel surveys). We also show that this model, applied in a real case study (Lille, France), is able to reproduce travel behaviors when combining private cars and public transport. …”
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Differences in the spatial landscape of urban mobility: Gender and socioeconomic perspectives by Mariana Macedo, Laura Lotero, Alessio Cardillo, Ronaldo Menezes, Hugo Barbosa

“…Our analysis is based on datasets containing multiple instances of large-scale, official, travel surveys carried out in three major metropolitan areas in South America: Medellín and Bogotá in Colombia, and São Paulo in Brazil. …”
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Measuring the impacts of local land-use policies on vehicle miles of travel: The case of the first big-box store in Davis, California by Kristin Lovejoy, Gian-Claudia Sciara, Deborah Salon, Susan L Handy, Patricia Mokhtarian

“…The opening of the first big-box retail store in Davis, California, represented a major change in the retail landscape and an unusual opportunity to study its effect on shopping travel. Surveys of residents' shopping behavior conducted before and after the opening of the store revealed a significant shift in where people shopped and a measurable reduction in overall vehicle miles traveled (VMT) for shopping. …”
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Evaluating the likely temporal variation in electric vehicle charging demand at popular amenities using smartphone locational data by Dixon, J, Elders, I, Bell, K

“…Unlike the use of household and travel surveys, from which most academic works on the subject are based, these data represent individuals' actual movements rather than how they might recall or divulge them. …”

Spatiotemporal Variation in Bicycle Road Crashes and Traffic Volume in Berlin: Implications for Future Research, Planning, and Network Design by Rafael Milani Medeiros, Iva Bojic, Quentin Jammot-Paillet

“…Digitalization has led to more and better data sources, but they still must be validated and compared with findings from conventional travel surveys. With the COVID-19 pandemic, bicycling and associated road facilities expanded, as did road crashes involving bicycles. …”
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A Review of Electric Vehicle Load Open Data and Models by Yvenn Amara-Ouali, Yannig Goude, Pascal Massart, Jean-Michel Poggi, Hui Yan

“…These datasets include information on charging point locations, historical and real-time charging sessions, traffic counts, travel surveys and registered vehicles. The models reviewed range from statistical characterization to stochastic processes and machine learning and the context of their application is assessed.…”
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Spatiotemporal Variation in Bicycle Road Crashes and Traffic Volume in Berlin: Implications for Future Research, Planning, and Network Design by Medeiros, Rafael Milani, Bojic, Iva, Jammot-Paillet, Quentin

“…Digitalization has led to more and better data sources, but they still must be validated and compared with findings from conventional travel surveys. With the COVID-19 pandemic, bicycling and associated road facilities expanded, as did road crashes involving bicycles. …”
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Using Geopandas for locating virtual stations in a free-floating bike sharing system by Claudio Rojas, Rodrigo Linfati, Robert F. Scherer, Lorena Pradenas

“…The decision-making process is supported by a binary integer mathematical programming model, and the instances are built from intercity travel surveys that provide realistic data based on travel demand. …”
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Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type by Yudong Guo, Fei Yang, Haomin Yan, Siyuan Xie, Haode Liu, Zhuang Dai

“…Results show that the proposed model can effectively predict activities and has much higher stability than existing ABMs based on travel surveys.…”
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Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle by Elias Hartvigsson, Niklas Jakobsson, Maria Taljegard, Mikael Odenberger

“…The results show that the electric vehicle charging power demand in western Sweden and Seattle is 50–183% higher compared to studies that were relying on national household travel surveys in Sweden and United States. The after-coincidence charging power demand from GPS measured driving behavior converges at 1.8 kW or lower for Sweden and at 2.1 kW or lower for the United States The results show that nominal charging power has the largest impact on after-coincidence charging power demand, followed by the vehicle’s electricity consumption and lastly the charging location. …”
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