Considering context and dynamics: A classification of transit-orientated development for New York City

Liu, Yunzhe; Singleton, Alex; Arribas‐Bel, Daniel

doi:10.1016/j.jtrangeo.2020.102711

Cited by 28 publications

(20 citation statements)

References 51 publications

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“…Measuring station areas worthy of TOD improvement is similar to TOD development level evaluation [ 32 , 37 , 40 ] and station classification [ 26 , 27 , 29 , 39 ]. It is necessary to carry out a quantitative analysis for the influencing factors of multiple dimensions and further calculate according to the method of multi-criteria decision analysis (MCDA) [ 18 , 41 , 42 ].…”

Section: Methodsmentioning

confidence: 99%

“…There have been many studies discussing the selection of TOD indicators based on the node-place model [ 14 , 26 , 27 , 29 , 32 , 39 , 44 ]. Based on the above results of systematic research, there are six common principles as follows.…”

Section: Methodsmentioning

confidence: 99%

“…This conceptual model has been quantified and expanded by many researchers to analyse TOD development status assessment [ 26 , 27 ], traffic behaviour choices [ 28 , 29 ], land use [ 30 , 31 ] and many other specific applications. These studies are often attributed to the TOD typology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is shown that the use of machine learning methods [K-means [ 39 , 40 ], self-organizing map (SOM) [ 29 , 60 ], support vector machine (SVM), etc.) to classify TOD types helps reduce the interference of subjective factors in making a judgment.…”

Section: Case Studymentioning

confidence: 99%

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TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City

Liu¹,

Song²

2021

Urban Rail Transit

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In recent decades, the transit-oriented development (TOD) concept has been widely used all over the world, especially in China, for the massive construction of urban public transportation systems with rail transit as the backbone. However, it is not easy to make significant changes in a city while building a transportation system, and the transit-guided urban development expected by the TOD concept has not been completely realized. The transformation of nearby areas with the guidance of transit is also becoming the choice of many Chinese cities, especially for cities that have only had subways for a few years. Unlike other international metropolitan cities, with metro systems of considerable scale, the modernization process of most of the small and medium-sized cities in China is being carried out simultaneously with metro-based public transportation guidance. For cities which are still in their initial stage of the backbone public transportation system, there is not enough previous experience and evidence to support the suitability of TOD typological analysis based on the node-place model. More research based on the node-place model has also shown practical applications of the TOD in developed cities. However, there are very few studies that analyse cities in which rail transit and urban development are both in a period of rapid growth. The goal of this research is to identify which metro stations in these cities are suitable for TOD improvement and optimization. This article attempts to expand the willingness of residents on the basis of the traditional node-place model as one of the judgment indicators for evaluating whether existing stations and surrounding areas are suitable for TOD improvement. At the same time, traditional statistical analysis is combined with GIS and machine learning technology. Using this method, we propose the TOD improvement-oriented station area classification and identification method based on TOD typology theory. The results show that Ningbo's subway stations can be divided into four categories according to the suitability for TOD improvement, and we selected seven stations suitable for TOD improvement according to the characteristics of the node-place model. The practice in Ningbo has proved that this method is effective for identifying sites suitable for TOD improvement, especially for cities that have recently built subways.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

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TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City

Liu¹,

Song²

2021

Urban Rail Transit

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show abstract

“…An exception is the work by Gutiérrez et al (2011) that empirically tested the 'distance-decay' effect of train station attractiveness in Madrid; it quantified a gradually decreasing ridership in the living and working population with increasing walking distance to the station. Furthermore, TOD research often adopts metrics that largely reduce streets to centrelines, walkability to a singular index, and so forth (e.g., Jeffrey et al, 2019;Liu et al, 2020a;Lyu et al, 2016). Such reductions are difficult to avoid when examining a large number of case studies, but their limitations in capturing socio-spatial properties are often overlooked.…”

Section: Introductionmentioning

confidence: 99%

Shopping morphologies of urban transit station areas: A comparative study of central city station catchments in Toronto, San Francisco, and Melbourne

Rao

Pafka

2021

Journal of Transport Geography

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Context-Aware Service Support Efficiency Improvement in the Transport System

Burinskienė

2022

International Series in Operations Research &Amp; Management Science

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Considering context and dynamics: A classification of transit-orientated development for New York City

Cited by 28 publications

References 51 publications

TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City

TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City

Shopping morphologies of urban transit station areas: A comparative study of central city station catchments in Toronto, San Francisco, and Melbourne

Context-Aware Service Support Efficiency Improvement in the Transport System

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