Identifying cycling-inducing neighborhoods: A latent class approach-Reference-Cited by-同舟云学术

Identifying cycling-inducing neighborhoods: A latent class approach

Published:2018-03-08 Issue:10 Volume:12 Page:701-713
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Oliva Ignacio¹,Galilea Patricia¹,Hurtubia Ricardo¹²

Affiliation:

1. Departamento de Ingeniería de Transporte y Logística, Vicuña Mackenna, Macul, Santiago, Chile

2. School of Architecture, Pontificia Universidad Católica de Chile, Santiago, Chile

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2018.1431822

Reference72 articles.

1. Does More Cycling Mean More Diversity in Cycling?

2. Transportation–land-use interaction: empirical findings in North America, and their implications for modeling

3. Shifting Gears

4. A mixed multinomial logit model analysis of weekend recreational episode type choice

5. A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the differences between car and motorcycle ownership. The case of Bogotá, Colombia;Journal of Transport Geography;2024-01

2. DVIRAČIŲ SRAUTO PASISKIRSTYMAS VILNIAUS MIESTO FUNKCINĖSE ZONOSE;26-osios jaunųjų mokslininkų konferencijos „Mokslas – Lietuvos ateitis“ teminės konferencijos DARNI APLINKA straipsnių rinkinys;2023-12-07

3. Evaluation of the methodology for determining cycling flows in Lithuania;The 12th International Conference ENVIRONMENTAL ENGINEERING 12th ICEE SELECTED PAPERS;2023-10-23

4. Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions;Transportation Research Part B: Methodological;2023-06

5. Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach;Cities;2023-06