Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Preferred streets

Assessing the impact of the street environment on cycling behaviors using the geographically weighted regression

Bibliographic Data

ID19337459
AuthorsBingbing Zhao (0000-0001-8983-9176, Central South University), Yufan Deng (0000-0003-0616-6645, Central South University), Liang Luo (0000-0002-0231-8798, Guangdong Polytechnic of Industry and Commerce), Min Deng (0000-0001-7041-4418, Central South University), Xuexi Yang (0000-0001-5531-5841, Central South University, corresponding author)
Year2025
Volume52
Issue4
Pages1485-1511
Publication date2025-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-024-10463-y
OpenAlexW4391507844
LanguageEN
Citations received4
References cited46

Archaeology · Cycling · Econometrics · Geographically Weighted Regression · Geography · Regression · Regression analysis · Statistics · Transport engineering · Engineering · Mathematics · Transportation Planning and Optimization · Urban Green Space and Health · Urban Transport and Accessibility

  • Built environment determinants of e-scooter route deviations

    Open Access•Gyounghoon Chun, Kaihan Zhang et al.•Cities•2026

  • Exploring the role of built environment and regional context in promoting bicycle commuting

    Open Access•Abbas Sheykhfard, Nicholas N Ferenchak•Cities•2026

  • The spatial heterogeneity effects of street environmental factors on the preference for sports and leisure cycling paths across different street types

    Open Access•Yu Wen, Bingbing Liu et al.•BMC Public Health•2025

  • Data–Knowledge Collaborative Learning Framework for Cellular Traffic Forecasting via Enhanced Correlation Modeling

    Open Access•Keyi An, Qiangjun Li et al.•ISPRS International Journal of…•2026

  • An Introduction to Statistical Learning

    Open Access•Gareth James, Daniela Witten et al.•An Introduction to Statistical…•2013

  • A review of urban physical environment sensing using street view imagery in public health studies

    Open Access•Yuhao Kang, Fan Zhang et al.•Annals of GIS•2020

  • Information Theory and an Extension of the Maximum Likelihood Principle

    Hirotogu Akaike•Selected Papers of Hirotugu Akaike•1998

  • Notes on Continuous Stochastic Phenomena

    P A P Moran•Biometrika•1950

  • Where do cyclists ride? A route choice model developed with revealed preference GPS data

    Open Access•Joseph Broach, Jennifer Dill et al.•Transportation Research Part A…•2012

  • Understanding the usage of dockless bike sharing in Singapore

    Yu Shen, Zhang Xiaohu et al.•International Journal of…•2018

  • Built environment effects on the integration of dockless bike-sharing and the metro

    Open Access•Yuanyuan Guo, Sylvia Y He•Transportation Research Part D:…•2020

  • International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling

    Open Access•L B Christiansen, E Cerin et al.•Journal of Transport & Health•2016

  • Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors

    Feng Gao, Shaoying Li et al.•International Journal of…•2021

  • A human-machine adversarial scoring framework for urban perception assessment using street-view images

    Yao Yao, Zhaotang Liang et al.•International Journal of…•2019

  • Detecting spatial flow outliers in the presence of spatial autocorrelation

    Open Access•Jiannan Cai, Mei-Po Kwan•Computers Environment and Urban…•2022

  • Desirable streets

    Open Access•Arianna Salazar-Miranda, Zhuangyuan Fan et al.•Computers Environment and Urban…•2021

  • Characterizing cycling traffic fluency using big mobile activity tracking data

    Open Access•Anna Brauer, Ville Mäkinen et al.•Computers Environment and Urban…•2021

  • Subjective or objective measures of street environment, which are more effective in explaining housing prices

    Open Access•Waishan Qiu, Ziye Zhang et al.•Landscape and Urban Planning•2022

  • A spatial modeling approach to estimating bike share traffic volume from GPS data

    Open Access•Matthew Brown, Matthew J Brown et al.•Sustainable Cities and Society•2022

  • Impact of urban morphology and landscape characteristics on spatiotemporal heterogeneity of land surface temperature

    Open Access•Andong Guo, Jun Yang et al.•Sustainable Cities and Society•2020

  • Impact of land use types on the spatial heterogeneity of extreme heat environments in a metropolitan area

    Open Access•Tzu-Ling Chen, Tzu‐Ling Chen et al.•Sustainable Cities and Society•2021

  • A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2.5

    Open Access•Rui Zhao, Liping Zhan et al.•Sustainable Cities and Society•2020

  • Effects of built environment and weather on bike sharing demand

    Open Access•Wafic El-Assi, Mohamed S Mahmoud et al.•Transportation•2017

  • An analysis of bicycle route choice preferences in Texas, US

    Open Access•Ipek N Sener, Naveen Eluru et al.•Transportation•2009

  • Cycling to work in 90 large American cities

    Open Access•Ralph Buehler, John Pucher•Transportation•2012

  • Overcoming barriers to cycling

    Open Access•Kevin Manaugh, Geneviève Boisjoly et al.•Transportation•2017

  • Built environmental correlates of cycling for transport across Europe

    Open Access•Lieze Mertens, Sofie Compernolle et al.•Health & Place•2017

  • Built Environment and Physical Activity for Transportation in Adults from Curitiba, Brazil

    Open Access•Adriano Akira Ferreira Hino, Roberta Sena Reis et al.•Journal of Urban Health•2013

  • Modeling bike-sharing demand using a regression model with spatially varying coefficients

    Open Access•Xudong Wang, Zhanhong Cheng et al.•Journal of Transport Geography•2021

  • How can GPS/GNSS tracking data be used to improve our understanding of informal transport? A discussion based on a feasibility study from Dar es Salaam

    Open Access•Mirko Goletz, Daniel Ehebrecht•Journal of Transport Geography•2018

  • Exploring the impact of built environment factors on the use of public bikes at bike stations

    Open Access•Ying Zhang, Tom Thomas et al.•Journal of Transport Geography•2016

  • Associations between overhead-view and eye-level urban greenness and cycling behaviors

    Open Access•Yi Lü, Yiyang Yang et al.•Cities•2019

  • The effects of built environment spatial variation on bike-sharing usage

    Open Access•Chunliang Wu, Lee-Hyung Kim et al.•Cities•2021

  • A Computer Movie Simulating Urban Growth in the Detroit Region

    W R Tobler, Waldo Tobler•Economic Geography•1970

Unique citing works4
Citations per year4
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOI
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