The node-place analysis on the “hubtropolis” urban form: The case of Shanghai Hongqiao air-rail hub

Chen, Xueming; Lin, Lin

doi:10.1016/j.habitatint.2015.06.013

Cited by 29 publications

(11 citation statements)

References 4 publications

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“…In addition to behavioral sciences, SEM can be used for exploring the interaction between transport investment and economic growth (see Jiang et al, 2017), and the identification of the relationship between airports' catchment area size and flight network scale by SEM (Yang et al, 2016) provides inspiration for transport facility planning issues. The node place model (Bertolini, 1996(Bertolini, , 1999) is a flexible analytical tool, which can illustrate the competition and complementarity between land use and transport and then unveil the development dynamics (Chen & Lin, 2015;Chorus & Bertolini, 2011). The model describes transport status as node index and land use status as place index, based on which several typologies of rail stations have been developed to support decisions on setting policy and investment priorities of stations (Reusser et al, 2008;Vale, 2015;Vale et al, 2018;Zemp et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

Wang

Han

Vries

et al. 2021

Appl. Spatial Analysis

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The identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

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Section: Literature Reviewmentioning

confidence: 99%

Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

Wang

Han

Vries

et al. 2021

Appl. Spatial Analysis

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“…Access to the airport can be facilitated by new road or rail services, which may be local via a subway line, such as in Bangkok, Hong Kong (Airport express) (Budge-Reid, 1999), Kansai, Kuala Lumpur, CDG-Roissy (RER B line), San Francisco (BART), Atlanta (MARTA), Chicago O'Hare, Shanghai Pudong by maglev service (Fu et al, 2017), Singapore (Phang, 2003) and longer distance by high-speed train (Navarre, 2003b), in CDG-Roissy, Amsterdam Schiphol, Brussels Zaventem, Düsseldorf, Frankfurt (Eichinger, 2007), Lyons or Shanghai Hongqiao (Chen and Lin, 2015). This rail service, now provided in 86 of the world's 100 largest airports, seems to be an increased factor in the competitiveness of metropolitan areas (Murakami et al, 2016).…”

Section: Reorganising Airports For the Growth Of Air Trafcmentioning

confidence: 99%

From airports to airport territories: expansions, potentials, conflicts

Yves¹

2018

hgeo

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Airports, as nodes in world transport networks, have been studied mostly in their role as hubs in the spatial strategies of airlines. This paper examines the role of airports as engines of growth in their local surroundings and the complexity of the spatial system of the airport at the local and regional scale. It studies how to ensure an efcient movement of planes of the airside and an efcient access point to airports on the landside while taking into account the interests of people living next to airports, who are heavily impacted the noise generated by aircraft, as well as considering where should new airports be built.

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“…This research shown another perspective on the node place model application. The previous research by Chorus & Bertolini (2011), Chen & Lin (2015), Nadyla and Nurlaela (2018) and Vale et al (2018) were based on urbanized area. Especially on Chorus & Bertolini (2011), Chen & Lin (2015) and Vale et al (2018), those researches were taken on larger metropolitan cities on multiple TOD areas.…”

mentioning

confidence: 95%

“…The previous research by Chorus & Bertolini (2011), Chen & Lin (2015), Nadyla and Nurlaela (2018) and Vale et al (2018) were based on urbanized area. Especially on Chorus & Bertolini (2011), Chen & Lin (2015) and Vale et al (2018), those researches were taken on larger metropolitan cities on multiple TOD areas. Meanwhile this research took sub-urban area on a developing country as the object that resulted low place/landuse index compared to the metropolitan cities.…”

mentioning

confidence: 95%

Node-Place Model Analysis on Attached Transit Oriented Development (TOD) Areas : The Case of Wates Train and Bus Station Area

Alfyan

Widyastuti²

2022

BEST

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Wates Train Station (Wates train station) and Wates Bus Station (Wates bus station) are two transportation nodes located in the Wates District moreover provide a wider area in the scale of the Kulon Progo Regency. These two transport nodes are near to each other and intersect within the radius of the TOD area. The presence of the Yogyakarta International Airport in Temon District was projected to increase the transportation intensity on Wates train station yet Wates bus station as the nodes of the current public transport service. This study was aimed to measure the Node - Place (N - P) index on both TOD areas. The Bertolini’s N - P model is a commonly used method on the measurement of TOD performance in terms of the transportation intensity towards land use (activity) intensity. The identifications were based on the TOD theory and the N - P indicators. Measurements were conducted through a weighted multi - criteria analysis. The analysis resulted in the same type of node - place index on both TOD areas, the “unbalanced node”. An unbalanced node indicates poor land use development regards a high transportation capability. Wates train station area has the index of node 0,72 and place 0,25 while the Wates bus station has the index of node 0,64 and place 0,16.

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The node-place analysis on the “hubtropolis” urban form: The case of Shanghai Hongqiao air-rail hub

Cited by 29 publications

References 4 publications

Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

From airports to airport territories: expansions, potentials, conflicts

Node-Place Model Analysis on Attached Transit Oriented Development (TOD) Areas : The Case of Wates Train and Bus Station Area

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