A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data
Author
Abstract
Suggested Citation
DOI: 10.1177/23998083221129614
Download full text from publisher
References listed on IDEAS
- Vojnovic, Igor & Darden, Joe T., 2013. "Class/racial conflict, intolerance, and distortions in urban form: Lessons for sustainability from the Detroit region," Ecological Economics, Elsevier, vol. 96(C), pages 88-98.
- Bagchi, M. & White, P.R., 2005. "The potential of public transport smart card data," Transport Policy, Elsevier, vol. 12(5), pages 464-474, September.
- Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
- Soora Rasouli & Harry Timmermans, 2014. "Activity-based models of travel demand: promises, progress and prospects," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(1), pages 31-60, March.
- Chris Harding & Ahmadreza Faghih Imani & Siva Srikukenthiran & Eric J. Miller & Khandker Nurul Habib, 2021. "Are we there yet? Assessing smartphone apps as full-fledged tools for activity-travel surveys," Transportation, Springer, vol. 48(5), pages 2433-2460, October.
- Cuauhtemoc Anda & Alexander Erath & Pieter Jacobus Fourie, 2017. "Transport modelling in the age of big data," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 19-42, August.
- Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
- Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
- Robert Tanton, 2014. "A Review of Spatial Microsimulation Methods," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 4-25.
- Matthew R. Graham & Mark J. Kutzbach & Brian McKenzie, 2014. "Design Comparison of LODES and ACS Commuting Data Products," Working Papers 14-38, Center for Economic Studies, U.S. Census Bureau.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nadav Shalit & Michael Fire & Eran Ben-Elia, 2023. "A supervised machine learning model for imputing missing boarding stops in smart card data," Public Transport, Springer, vol. 15(2), pages 287-319, June.
- Bantis, Thanos & Haworth, James, 2020. "Assessing transport related social exclusion using a capabilities approach to accessibility framework: A dynamic Bayesian network approach," Journal of Transport Geography, Elsevier, vol. 84(C).
- Wang, Yihong & Correia, Gonçalo Homem de Almeida & de Romph, Erik & Timmermans, H.J.P., 2017. "Using metro smart card data to model location choice of after-work activities: An application to Shanghai," Journal of Transport Geography, Elsevier, vol. 63(C), pages 40-47.
- Benito Zaragozí & Sergio Trilles & Aaron Gutiérrez & Daniel Miravet, 2021. "Development of a Common Framework for Analysing Public Transport Smart Card Data," Energies, MDPI, vol. 14(19), pages 1-22, September.
- Christian Werner & Martin Loidl, 2021. "Bicycle Mobility Data: Current Use and Future Potential. An International Survey of Domain Professionals," Data, MDPI, vol. 6(11), pages 1-11, November.
- F. Crawford & D. P. Watling & R. D. Connors, 2023. "Analysing Spatial Intrapersonal Variability of Road Users Using Point-to-Point Sensor Data," Networks and Spatial Economics, Springer, vol. 23(2), pages 373-406, June.
- Rawad Choubassi & Lamia Abdelfattah, 2020. "How Big Data is Transforming the Way We Plan Our Cities," Briefs, Fondazione Eni Enrico Mattei, December.
- Jonathan I. Dingel & Felix Tintelnot, 2020.
"Spatial Economics for Granular Settings,"
NBER Working Papers
27287, National Bureau of Economic Research, Inc.
- Dingel, Jonathan & Tintelnot, Felix, 2020. "Spatial Economics for Granular Settings," CEPR Discussion Papers 14819, C.E.P.R. Discussion Papers.
- Jonathan I. Dingel & Felix Tintelnot, 2020. "Spatial Economics for Granular Settings," Working Papers 2020-71, Becker Friedman Institute for Research In Economics.
- Mohammad Hesam Hafezi & Lei Liu & Hugh Millward, 2019. "A time-use activity-pattern recognition model for activity-based travel demand modeling," Transportation, Springer, vol. 46(4), pages 1369-1394, August.
- Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
- Junyong Jang & Yongbin Cho & Juntae Park, 2024. "Bus Route Sketching: A Multimetric Analysis from the User’s and Operator’s Perspectives," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
- Dieterle, Steven & Bartalotti, Otávio C. & Brummet, Quentin O., 2016.
"Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement Error-Corrected RD Approach,"
Staff General Research Papers Archive
3392, Iowa State University, Department of Economics.
- Dieterle, Steven & Bartalotti, Otávio C. & Brummet, Quentin O., 2018. "Revisiting the Effects of Unemployment Insurance Extensions on Unemployment: A Measurement Error-Corrected RD Approach," ISU General Staff Papers 201803280700001002, Iowa State University, Department of Economics.
- Alberto Vitalini & Simona Ballabio & Flavio Verrecchia, 2024. "Rebuilding a pseudo population register for estimating physical vulnerability at the local level: a case study of spatial microsimulation in Sondrio," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 78(1), pages 55-64, January-M.
- Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
- Blom Västberg, Oskar & Karlström, Anders & Jonsson, Daniel & Sundberg, Marcus, 2016. "Including time in a travel demand model using dynamic discrete choice," MPRA Paper 75336, University Library of Munich, Germany, revised 11 Nov 2016.
- Apanasevic, Tatjana & Rudmark, Daniel, 2021. "Crowdsourcing and Public Transportation: Barriers and Opportunities," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238005, International Telecommunications Society (ITS).
- Paul Baustert & Tomás Navarrete Gutiérrez & Thomas Gibon & Laurent Chion & Tai-Yu Ma & Gabriel Leite Mariante & Sylvain Klein & Philippe Gerber & Enrico Benetto, 2019.
"Coupling Activity-Based Modeling and Life Cycle Assessment—A Proof-of-Concept Study on Cross-Border Commuting in Luxembourg,"
Sustainability, MDPI, vol. 11(15), pages 1-24, July.
- Baustert, Paul & Gutiérrez, Tomás Navarrete & Gibon, Thomas & Chion, Laurent & Ma, Tai Yu & Mariante, Gabriel Leite & Klein, Sylvain & Gerber, Philippe & Benetto, Enrico, 2019. "Coupling activity-based modeling and life cycle assessment-a proof-of-concept study on cross-border commuting in Luxembourg," LSE Research Online Documents on Economics 101425, London School of Economics and Political Science, LSE Library.
- Yang, Xiping & Fang, Zhixiang & Xu, Yang & Yin, Ling & Li, Junyi & Lu, Shiwei, 2019. "Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data," Journal of Transport Geography, Elsevier, vol. 78(C), pages 29-40.
- Gleb V. Savin, 2021. "The smart city transport and logistics system: Theory, methodology and practice," Upravlenets, Ural State University of Economics, vol. 12(6), pages 67-86, October.
- Guettabi, Mouhcine & James, Alexander, 2020.
"Who benefits from an oil boom? Evidence from a unique Alaskan data set,"
Resource and Energy Economics, Elsevier, vol. 62(C).
- Mouhcine Guettabi & Alexander James, 2017. "Who Benefits From an Oil Boom? Evidence From a Unique Alaskan Data Set," Working Papers 2017-04, University of Alaska Anchorage, Department of Economics.
More about this item
Keywords
Travel behaviour; commuting; big data; transportation modelling; urban analytics;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:50:y:2023:i:3:p:709-722. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.