Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Takanori Sakai

Biographic Data

ID6580704
NAMETakanori Sakai
GIVEN NAMESTakanori
FAMILY NAMESakai
SIGNATURESAKAI T
AFFILIATIONSSingapore-MIT Alliance for Research and Technology
ORCID0000-0002-8426-7452
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS48
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2025
H-INDEX5
  • Locating in informally-developed spaces: Disentangling the spatial preferences of e-commerce logistics microhubs

    Open Access•Zuopeng Xiao, Xiangyu Du et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1•References: 5

  • Does Proximity to MRT Stations Affect Online Shopping Use? An Analysis Using Data from Japan and New York

    Open Access•Yusei Onuma, Takanori Sakai et al.•ARTICLE•Urban Science•2024•References: 2

    The rapid growth of the e-commerce market in the retail sector has led to a greater demand for home delivery services in recent years. In order to develop policies to address the issues related to delivery demand, it is critical to understand the demand mechanism of online shopping. Furthermore, the relationship between proximity to mass rapid transit and shopping mode choice mechanisms has not been studied, although, in the field of urban design…

  • Commodity flow estimation for a metropolitan scale freight modeling system: Supplier selection considering distribution channel using an error component logit mixture model

    Open Access•Takanori Sakai, B K Bhavathrathan et al.•ARTICLE•Transportation•2020

    Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching a receiver to a supplier that considers two-layers in …

  • Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 6•References: 11

  • Location factors for logistics facilities: Location choice modeling considering activity categories

    Open Access•Takanori Sakai, Adrien Béziat et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 11•References: 8

  • Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2018•Cited by: 5•References: 2

  • Spatial reorganization of urban logistics system and its impacts: Case of Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 13•References: 1

  • Locational dynamics of logistics facilities: Evidence from Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2015•Cited by: 12•References: 4

  • Spatial reorganization of urban logistics system and its impacts: Case of Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 13•References: 1

  • Locational dynamics of logistics facilities: Evidence from Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2015•Cited by: 12•References: 4

  • Location factors for logistics facilities: Location choice modeling considering activity categories

    Open Access•Takanori Sakai, Adrien Béziat et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 11•References: 8

  • Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 6•References: 11

  • Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2018•Cited by: 5•References: 2

  • Locating in informally-developed spaces: Disentangling the spatial preferences of e-commerce logistics microhubs

    Open Access•Zuopeng Xiao, Xiangyu Du et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1•References: 5

  • Locational dynamics of logistics facilities: Evidence from Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2015•Cited by: 12•References: 4

  • Spatial reorganization of urban logistics system and its impacts: Case of Tokyo

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 13•References: 1

  • Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2018•Cited by: 5•References: 2

  • Commodity flow estimation for a metropolitan scale freight modeling system: Supplier selection considering distribution channel using an error component logit mixture model

    Open Access•Takanori Sakai, B K Bhavathrathan et al.•ARTICLE•Transportation•2020

    Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching a receiver to a supplier that considers two-layers in …

  • Logistics facilities for intra and inter-regional shipping: Spatial distributions, location choice factors, and externality

    Open Access•Takanori Sakai, Kazuya Kawamura et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 6•References: 11

  • Location factors for logistics facilities: Location choice modeling considering activity categories

    Open Access•Takanori Sakai, Adrien Béziat et al.•ARTICLE•Journal of Transport Geography•2020•Cited by: 11•References: 8

  • Does Proximity to MRT Stations Affect Online Shopping Use? An Analysis Using Data from Japan and New York

    Open Access•Yusei Onuma, Takanori Sakai et al.•ARTICLE•Urban Science•2024•References: 2

    The rapid growth of the e-commerce market in the retail sector has led to a greater demand for home delivery services in recent years. In order to develop policies to address the issues related to delivery demand, it is critical to understand the demand mechanism of online shopping. Furthermore, the relationship between proximity to mass rapid transit and shopping mode choice mechanisms has not been studied, although, in the field of urban design…

  • Locating in informally-developed spaces: Disentangling the spatial preferences of e-commerce logistics microhubs

    Open Access•Zuopeng Xiao, Xiangyu Du et al.•ARTICLE•Journal of Transport Geography•2025•Cited by: 1•References: 5

Urban and Freight Transport Logistics (8 works) · Business (7 works) · Engineering (7 works) · Geography (7 works) · Transport engineering (7 works) · Maritime Ports and Logistics (6 works) · Metropolitan area (5 works) · City logistics (4 works) · Consumer Retail Behavior Studies (4 works) · Distribution (mathematics (4 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae