SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

A comprehensive review of trip generation models based on land use characteristics · Study

ArticleShelves

ArticleA comprehensive review of trip generation models based on land use characteristics

Jaideep Mukherjee2022

Article2022

A comprehensive review of trip generation models based on land use characteristics

Jaideep Mukherjee · Bhadradri Raghuram Kadali

35 citations·0/0 files stored·Transportation Research Part D Transport and Environment

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Urban Transport and Accessibility Human Mobility and Location-Based Analysis

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 35 citations exist upstream.

References

2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai 2009Processing Raw Data from Global Positioning Systems without Additional Information 2006Household travel surveys: Where are we going?2017On data processing required to derive mobility patterns from passively-generated mobile phone data 2007Search for a global positioning system device to measure person travel 2010Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study

Cited by

2024How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks 2024Integrated Transit-Oriented Development (TOD) with suburban rail network design problem for maximizing profits 2023Application of adaptive neuro-fuzzy inference system in modelling home-based trip generation 2024Model for Forecasting Rural Travel Demand Using Feed Forward—Backpropagation Neural Network and Minimized Akaike Information Criterion Algorithm

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020Reviewing trip purpose imputation in GPS-based travel surveysarticle · 10 shared references 2024How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networksarticle · 9 shared references 2014Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patternsarticle · 8 shared references 2020A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)article · 7 shared references 2021A data-driven travel mode share estimation framework based on mobile device location dataarticle · 7 shared references 2021Potential of cellular signaling data for time-of-day estimation and spatial classification of travel demand: a large-scale comparative study with travel survey and land use dataarticle · 7 shared references

Details

Year2022

Typearticle

Published2022-06-19

VenueTransportation Research Part D Transport and Environment

ISSN-L1361-9209

Languageen

Citations35

Files0 public / 0

ShelfTransportation Planning and Optimization

Identifiers

doi10.1016/j.trd.2022.103340

openalex_workW4283399792

Links

Imported from OpenAlex (CC0) — nothing here is generated.