A two-step method for mode choice estimation with socioeconomic and spatial information

Spatial Statistics

Volumn 11, Issue , 2015, Pages 45-64

  Pitombo, Cira Souza ^a   Salgueiro, Ana Rita ^b   da Costa, Aline Schindler Gomes ^c   Isler, Cassiano Augusto ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^c FEDERAL UNIVERSITY OF BAHIA   (Brazil)

Author keywords

Decision tree; Mode choice; Ordinary Kriging; Spatial estimation

Indexed keywords

EID: 84920983052     PISSN: 22116753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spasta.2014.12.002     Document Type: Article

References (35)

1. Adjemian M.K., Lin C., Williams J. Estimating spatial interdependence in automobile type choice with survey data. Transp. Res. A: Policy Pract. 2010, 44:661-675. 10.1016/j.tra.2010.06.001.
2. Ahern A., Tapley N. The use of stated preference techniques to model modal choices on interurban trips in Ireland. Transp. Res. A: Policy Pract. 2008, 42:15-27. 10.1016/j.tra.2007.06.005.
3. Arentze T., Timmermans H. Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice. Transp. Res. B: Methodological 2007, 41(7):772-783. 10.1016/j.trb.2007.01.001.
4. Bhat C., Zhao H. The spatial analysis of activity stop generation. Transp. Res. B 2002, 36:557-575. 10.1016/S0191-2615(01)00019-4.
5. Bierlaire, M., 2003. BIOGEME: A free package for the estimation of discrete choice models. In: Proceedings of the3rd Swiss Transportation Research Conference, Ascona, Switzerland.
6. Breiman L., Friedman J.H, Olshen R.A., Stone C.J. Classification and Regression Trees 1984, Wadsworth International Group, California.
7. Cervero R., Radisch C. Pedestrian versus automobile oriented neighborhoods. Transport Policy 1996, 3:127-141. 10.1016/0967-070X(96)00016-9.
8. Ciuffo, B.F., Punzo, V., Quaglietta, E., (2011) Kriging meta-modelling to verify traffic micro-simulation calibration methods. In: TRB 90th Annual Meeting Compendium of Papers.
9. Domencich T.A., McFadden D. Urban Travel Demand: A Behavioral Analysis 1975, North Holland Publishing, Amsterdam.
10. Goovaerts P. Geostatistics for Natural Resources Evaluation. Applied Geostatistics Series 1997, 483. Oxford University Press, New York, Oxford.
11. Goovaerts P. Using elevation to aid geostatistical mapping of rainfall erosivity. Catena 1999, 34:227-242.
12. Grange L., González F., Vargas I., Muñoz J.C. A polarized logit model. Transp. Res. A: Policy Pract. 2013, 53:1-9. 10.1016/j.tra.2013.06.003.
13. IBGE, 2010. Brazilian Institute of Geography and Statistics. Census Brazilian population in 2010. Available in (in Portuguese) (accessed 20.08.12). http://www.ibge.gov.br.
14. Isaaks E.H., Srvastava R.M. An introduction to Applied Geostatistics 1989, Oxford University Press.
15. Ji J., Gao X. Analysis of people's satisfaction with public transportation in Beijing. Habitat Internat. 2010, 34(4):464-470. 10.1016/j.habitatint.2009.12.003.
16. Kitamura R., Mokhtarian P.L., Laidet L. A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area. Transportation 1997, 24:125-158. 10.1023/A:1017959825565.
17. Matheron G. The Theory of Regionalized Variables and its Applications. Technical Report 5 1971, Paris School of Mines. Cah. Cent. Morphol. Math., Fontainbleau.
18. Matheron G. Principles of geostatistics. Econ. Geol. 1963, 58:1246-1266. 10.2113/gsecongeo.58.8.1246.
19. Mazzella A., Piras C., Pinna F. Use of kriging technique to study roundabout performance. Transp. Res. Record: J. Transp. Res. Board 2012, ~ 2241/2011:78-86. 10.3141/2241-09.
20. Miura H. A study of travel time prediction using universal kriging. TOP 2010, 18(1):257-270. 10.1007/s11750-009-0103-6.
21. Ortúzar J.D., Willumsen L.G. Modelling Transport 2011, Wiley. fourth ed.
22. Páez A., López F.A., Ruiz M., Morency C. Development of an indicator to assess the spatial fit of discrete choice models. Transp. Res. B 2013, 56:217-233. 10.1016/j.trb.2013.08.009.
23. Peer S., Knockaert J., Koster P., Tseng Y.Y., Verhoef E.T. Door-to-door travel times in RP departure time choice models: An approximation method using GPS data. Transp. Res. B 2013, 58:134-150. 10.1016/j.trb.2013.10.006.
24. Pitombo, C.S., Sousa, A.J., Birkin, M., Quintanilha, J.A., 2010. Comparing different spatial data analysis to forecast trip generation. In: World Conference on Transport Research Society, 2010, Lisbon. Proceedings of the 12th WCTR. Lisboa.
25. Pitombo C.S., Kawamoto E., Sousa A.J. An exploratory analysis of relationships between socioeconomic, land use, activity participation variables and travel patterns. Transport Policy (Oxford) 2011, 18:347-357. 10.1016/j.tranpol.2010.10.010.
26. Rodrigues da Silva A.N. Preparation of a Travel Database for Assistance of Development Researches in Transportation Planning Area. FAPESP Report, Case No. 04/15843-4 2008, School of Engineering of São Carlos, University of São Paulo, Brazil (in Portuguese).
27. Sen A., Sööt S., Pagitsas S, E. The logit modal split model: Some theoretical considerations. Transp. Res. A 1978, 12(5):321-324. 10.1016/0041-1647(78)90006-0.
28. Shmueli D., Salomon I., Shefer D. Neural network analysis of travel behavior: Evaluating tools for prediction. Transp. Res. C: Emerg. Technol. 1996, 4(3):151-166.
29. Tong D., Lin W.H., Stein A. Integrating the direction effect of traffic into geostatistical approaches for travel time estimation on an urban transportation network. Int. J. ITS Res. 2013, 11(3):101-112.
30. Wackernagel H. Multivariate Geostatistics: An Introduction with Applications 2010, Springer. Third ed.
31. Wang Y., Zhuang D., Liu H. Spatial distribution of floating car speed. J. Transp. Syst. Eng. Inform. Technol. 2012, 12(1):36-41. 10.1016/S1570-6672(11)60182-7.
32. Williams H.C.W.L., Senior M.L. Model based transport policy assessment. Part II: Removing fundamental inconsistencies from the models. Traffic Eng. Control 1977, 18:464-469.
33. Xie C., Jinyang L., Parkany E. Work travel mode choice modeling with data mining: Decision trees and neural networks. Transp. Res. Record: J. Transp. Res. Board 2007, 1854:50-61. 10.3141/1854-06.
34. Zhang, D., Wang, X., 2013. Traffic Volume Estimation using Network Interpolation Techniques: An Application on Transit Ridership in NYC Subway System. Final Report. http://www.utrc2.org/sites/default/files/pubs/Final-Traffic-Volume-Interpolation_0.pdf.
35. Zou H., Yue Y., Li Q., Yeh A.G.O. An improved distance metric for the interpolation of link-based traffic data using kriging: a case study of a large-scale urban road network. Int. J. Geograph. Inform. Sci. 2012, 26(4):667-689. 10.1080/13658816.2011.609488.