Beyond land use mix, walkable trips. An approach based on parcel-level land use data and network analysis
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DOI: 10.1080/17445647.2021.1875063
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Cited by:
- Antonio A. Barreda-Luna & Juvenal Rodríguez-Reséndiz & Omar Rodríguez-Abreo & José Manuel Álvarez-Alvarado, 2022. "Spatial Models and Neural Network for Identifying Sustainable Transportation Projects with Study Case in Querétaro, an Intermediate Mexican City," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
- Hessameddin Maniei & Reza Askarizad & Maryam Pourzakarya & Dietwald Gruehn, 2024. "The Influence of Urban Design Performance on Walkability in Cultural Heritage Sites of Isfahan, Iran," Land, MDPI, vol. 13(9), pages 1-29, September.
- Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
- Seung-Chul Noh & Jung-Ho Park, 2021. "Café and Restaurant under My Home: Predicting Urban Commercialization through Machine Learning," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
- Credit, Kevin & O'Driscoll, Conor, 2024. "Assessing modal tradeoffs and associated built environment characteristics using a cost-distance framework," Journal of Transport Geography, Elsevier, vol. 117(C).
- Jesús López Baeza & José Carpio-Pinedo & Julia Sievert & André Landwehr & Philipp Preuner & Katharina Borgmann & Maša Avakumović & Aleksandra Weissbach & Jürgen Bruns-Berentelg & Jörg Rainer Noennig, 2021. "Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
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