Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models

Wan, Li; Yang, Tianren; Jin, Ying; De, Wang; Cheng, Shijie; Yin, Zhenxuan; Cao, Mengqiu; Pan, Haozhi

doi:10.1016/j.tbs.2021.04.012

Cited by 10 publications

(2 citation statements)

References 33 publications

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“…For this reason, several research works are now focused on modeling home-to-work dynamics [15][16][17], as well as developing methodologies to effectively plan and optimize specific transportation solutions [18].…”

Section: Introductionmentioning

confidence: 99%

Tools and Methodologies for the Analysis of Home-to-Work Shuttle Service Impacts: The ENEA “Casaccia” Case Study

Carapellucci

Conti

Lelli

et al. 2023

Future Transportation

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Mobility management is a regulatory framework designed to streamline systematic mobility and mitigate energy, environmental and economic impacts. In this work, we propose a flexible methodology for evaluating the sustainability of home-to-work travel, providing a comprehensive and detailed ex post cost–benefit assessment. Specifically, we analyzed the effectiveness of the shuttle service operating in the ENEA “Casaccia” Research Centre in pre-pandemic times. Initially, we conducted an online survey to collect data with the aim of characterizing the travel behavior of the staff and reconstructing the multi-modal individual mobility patterns. Over 70% of the recipients, which amounted to about 950 individuals, completed the survey. Subsequently, we studied two alternative scenarios—with and without the shuttle service—comparing their total mileage, energy consumption, and pollutant emissions and performing an economic analysis. Our findings suggest that operating the service has a significant impact on air pollutants and greenhouse gas emissions, with reductions of 97% for volatile organic compounds, 72% for particulate matter, and 60% for carbon dioxide. Moreover, the cost–benefit analysis reveals that both users and the community reaped benefits from the provision of the collective service. These benefits are estimated to be almost EUR 1.35 M per year.

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Section: Introductionmentioning

confidence: 99%

Tools and Methodologies for the Analysis of Home-to-Work Shuttle Service Impacts: The ENEA “Casaccia” Case Study

Carapellucci

Conti

Lelli

et al. 2023

Future Transportation

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“…A recent study [40] presented a method for error mitigation of the demand estimations from big data. The method proposed in this paper also aims to reduce the estimation errors, because it integrates traditional data and FCD to improve TMSs' accuracy.…”

mentioning

confidence: 99%

Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration

et al. 2021

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This paper attempts to integrate data from models, traditional surveys and big data in a situation of limited information. The goal is to increase the capacity of transport planners to analyze, forecast, and plan passenger mobility. (Big) data are a precious source of information and substantial effort is necessary to filter, integrate, and convert big data into travel demand estimates. Moreover, data analytics approaches without demand models are limited because they allow: (a) the analysis of historical and/or real-time transport system configurations, and (b) the forecasting of transport system configurations in ordinary conditions. Without the support of travel demand models, the mere use of (big) data does not allow the forecasting of mobility patterns. The paper attempts to support traditional methods of transport systems engineering with new data sources from ICTs. By combining traditional data and floating car data (FCD), the proposed framework allows the estimation of travel demand models (e.g., trip generation and destination). The proposed method can be applied in a specific case of an area where FCD are available, and other sources of information are not available. The results of an application of the proposed framework in a sub-regional area (Calabria, southern Italy) are presented.

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Spatiotemporal Analysis of Traffic Data: Correspondence Analysis with Fuzzified Variables vs. Principal Component Analysis Using Weather and Gas Price as Extra Data

Loslever

2024

Netw Spat Econ

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Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models

Cited by 10 publications

References 33 publications

Tools and Methodologies for the Analysis of Home-to-Work Shuttle Service Impacts: The ENEA “Casaccia” Case Study

Tools and Methodologies for the Analysis of Home-to-Work Shuttle Service Impacts: The ENEA “Casaccia” Case Study

Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration

Spatiotemporal Analysis of Traffic Data: Correspondence Analysis with Fuzzified Variables vs. Principal Component Analysis Using Weather and Gas Price as Extra Data

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