Can TODness improve (expected) performances of TODs? An exploration facilitated by non-traditional data

TODness, i.e., the extent to which the existing conditions of TOD (transit oriented development) sites meet agreed-upon TOD standards often requires substantial investment and efforts. Given this, it is legitimate and understandable that decision-makers expect as many positive outcomes from TODness (or TODs) as possible. Non-traditional data (NTD) has provided more opportunities for the authors to develop (new) indicators for TODness and expected outcomes that the authors have for TODness. NTD, could, for instance, be used to formulate indicators across more spatiotemporal resolutions and samples and measure new expected outcomes, e.g., smartphone users per hour on weekdays by metro station across a city. Based on case study of Shenzhen, China, this paper introduces indicators for TODness and expected outcomes (partially) based on NTD. Through (spatial) regressions, it identifies the specific TODness (both at the site and regional levels) or station (area) characteristics that have the most impacts on different expected outcomes on weekdays and weekends. The findings and results can on the one hand revalidate the known relationships between expected outcomes in the existing literature and TODness and on the other hand reveal new relationships between the two, which can serve as extra references for TOD-related plan formulation, evaluation and decision-making.

• Record URL:
  • https://doi.org/10.1016/j.trd.2019.07.008
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920918310198
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Zhou, Jiangping
  • 0000-0002-1623-5002
  • Yang, Yuling
  • Gu, Peiqin
  • Yin, Ling
  • Zhang, Fan
  • Zhang, Fang
  • Li, Dong
• Publication Date: 2019-9

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 28-47
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 74
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Case studies; Decision making; Evaluation; Performance measurement; Regression analysis; Standards; Transit oriented development
• Geographic Terms: Shenzhen (China)
• Subject Areas: Economics; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01715784
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 3 2019 9:14AM