Spatial Transferability and Updating Analysis of Mode Choice Models in Developing Countries

Santoso, Djoen San; Tsunokawa, Koji

doi:10.1080/03081060500319694

Cited by 18 publications

(19 citation statements)

References 4 publications

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“…This study is based on a multinomial logit model for work trip mode choice developed by Santoso and Tsunokawa [12] from the urban HCMC data. In their study, the parameters of the model (HCMC model) were transferred to the suburban HCMC.…”

Section: Methodsmentioning

confidence: 99%

“…Unfortunately, most studies that explored and analyzed this subject, used data from developed countries ( [1][2][3][4][5][6][7][8][9][10][11]). Santoso and Tsunokawa [12] argued that the prevailing transportation conditions are significantly different between developed and developing countries. Low quality of service and availability of public transportation, high level of motorcycle ownership and congestion are some of the factors that differentiate developing countries from developed countries.…”

Section: Introductionmentioning

confidence: 99%

“…It was found that differences in the transportation characteristics of the estimation context and the new application context affect the transferability process. An important factor requiring consideration is the inclusion and exclusion of variable(s) of the model from the estimation context in the new application context [1,12]. As transferring a model is usually associated with updating the parameters of the model to better suit it to the new application context and, for this purpose, it is necessary to have small sized sample data from the new application context.…”

Section: Introductionmentioning

confidence: 99%

“…In 2005, a transferability study using the data available in a developing country was conducted by Santoso and Tsunokawa [12]. They examined the spatial transferability of a mode choice model, using travel survey data from Ho Chi Minh City (HCMC), Vietnam.…”

Section: Introductionmentioning

confidence: 99%

“…A disaggregate mode choice model of urban areas of HCMC from the study of Santoso and Tsunokawa [12] is used as the base model (hereafter, referred to as the HCMC model) to be transferred to Phnom Penh City in Cambodia. The primary objective is to systematically compare the performances of updating techniques, coupled with small sized samples, in transferring a mode choice model in the context of developing countries.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of updating techniques in transferability analysis of work trip mode choice models in developing countries

Santoso

Tsunokawa

2010

J of Advced Transportation

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SUMMARYThis study analyzes the performances of updating techniques in transferability of mode choice models in developing countries. A model specification, estimated in Ho Chi Minh City, was transferred to Phnom Penh. Naïve transfer and four updating methods associated with small sized samples were used in the transfer process and were evaluated based on statistical perspective and predictive ability. The study also illustrates the problems faced in model transferability development, due to the lack of available and suitable data in Phnom Penh. This lack is strongly related to different methods and structures applied in collecting the data. Simplified approaches to the difficulties are proposed in the study. The results show that updating ASCs, updating both ASCs and scale parameter, and use of combined transfer estimators all produce significant improvement, both statistically and in predictability, in updating the model. The last two methods have proven to be superior to the first method, owing to the inclusion of transfer bias considerations in the estimations. However, small data samples should not have large transfer bias when using combined transfer estimators. It is also concluded that naïvely transferring a model is not recommended, and Bayesian updating should be avoided when transfer bias exists.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparison of updating techniques in transferability analysis of work trip mode choice models in developing countries

Santoso

Tsunokawa

2010

J of Advced Transportation

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Spatial transferability of travel forecasting models: a review and synthesis

Sikder

Pinjari

Srinivasan

et al. 2013

Int J Adv Eng Sci Appl Math

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Are Freight Production Models Transferable between Urban and Suburban Areas? Guiding Model Transfer in Geographically Sprawling Indian Cities

Balla

Sahu

Pani

2021

J. Inst. Eng. India Ser. A

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Investigating the spatial transferability of freight generation (FG) models is an imperative research need to enable the usage of formerly estimated model parameters in new application contexts with or without the usage of local data. By understanding how to transfer models (and to what extent), planning agencies in large countries like India can save freight survey costs in regions where they lack the institutional capacity and resources. Due to geographically sprawling nature of most of the Indian cities, an important research question regarding transferability is whether the models developed for urban areas can provide accurate estimates of freight activity in the suburban areas or vice versa. This paper aims to provide two solutions to this problem: (i) compare the relative effectiveness of transferability depending up on the direction of transfer and (ii) assess which models can be transferred and which cannot. Data collected from seven cities are used for this study. A set of freight production (FP) models are developed using this data to understand the differential influence of geographical location and industry segment on the model coefficients. The estimated FP models show that suburban establishments exhibit significantly higher FP rates as compared to other establishments. Subsequently, transferability direction and accuracy are determined using standard metrics such as transfer R 2 , relative aggregate transfer error and transfer index. The transferability findings will provide actionable insights into development of FP models in regions with data constraints, which is of great value in an era of declining budgets for travel surveys.

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Spatial Transferability and Updating Analysis of Mode Choice Models in Developing Countries

Cited by 18 publications

References 4 publications

Comparison of updating techniques in transferability analysis of work trip mode choice models in developing countries

Comparison of updating techniques in transferability analysis of work trip mode choice models in developing countries

Spatial transferability of travel forecasting models: a review and synthesis

Are Freight Production Models Transferable between Urban and Suburban Areas? Guiding Model Transfer in Geographically Sprawling Indian Cities

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