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Land
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The Development and Planning of Innovation Space and the Sustainability...
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The Development and Planning of Innovation Space and the Sustainability of Land Use

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".

Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 5241

Special Issue Editors

Prof. Dr. Yingcheng Li

E-Mail Website
Guest Editor
School of Architecture, Southeast University, Nanjing 211189, China
Interests: urban sustainable development; urban spatial structure; urban innovation network
Special Issues, Collections and Topics in MDPI journals
Dr. Mengqiu Cao

E-Mail Website
Guest Editor
Bartlett School of Environment, Energy and Resources, University College London, London WC1H 0NN, UK
Interests: transport planning; sustainable transport development; transport and climate change; freight transport and logistics; statistics and transport modelling; social equity and well-being; travel behaviour; urban mobility; sustainable urban infrastructure and economics; urban planning and sustainable cities
Special Issues, Collections and Topics in MDPI journals
Dr. Kai Zhu

E-Mail Website
Guest Editor
School of Design and Architecture, Zhejiang University of Technology, Hangzhou, China
Interests: urban and rural development and planning; industrial development and planning

Special Issue Information

Dear Colleagues,

With the rapid development of the knowledge economy and the accelerated restructuring of the global industrial chain, innovation has become an important driving force for sustainable development of cities and regions. The agglomeration of knowledge-based economic activities in certain areas has formed different types of innovation space, such as business incubators and accelerators, innovation districts, high-tech industrial parks and innovation corridors. These types of innovation space have not only functioned as physical carriers for knowledge-based activities but have also changed land use patterns at different geographical scales. For instance, the development of innovation districts usually requires a relevant higher degree of land use mix, which has been found to be conducive to providing more face-to-face communications and thus facilitating the process of innovation. However, while both scholars and policymakers have attached great importance to the rise of innovation space within cities and regions, there still remains much to be explored concerning the relationship between innovation-driven development and sustainable land use in different contexts. In the context of innovation-driven development, the development and planning of innovation space has been a complicated process, which requires new ideas, insights and approaches to respond to the complexity and uncertainty of innovation activities.

It is therefore essential to obtain a better understanding of the development and planning of innovation space to ensure sustainable land use from both morphological and functional perspectives. The goal of this Special Issue is to collect papers (original research articles and review papers) that provide insights into the development and planning of innovation space at different geographical scales. This Special Issue will welcome but is not limited to manuscripts that link the following themes:

  • Land use characteristics of urban innovation space, such as land use patterns and land use mix;
  • The relationship between innovation and land use efficiency;
  • Identification of innovation space at different geographical scales;
  • The evolving distribution patterns of innovation activities at different geographical scales;
  • Urban regeneration and innovation space;
  • International comparative analyses of innovation districts;
  • The coordination between innovation space and other types of space within cities;
  • The development and planning of innovation corridors;
  • Policies to promote the sustainable development of innovation space.

We look forward to receiving your original research articles and reviews.

Prof. Dr. Yingcheng Li
Dr. Mengqiu Cao
Dr. Kai Zhu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land use mix
  • land use pattern
  • land use efficiency
  • innovation activity
  • innovation district
  • innovation corridor
  • knowledge economy
  • spatial planning
  • sustainability
  • talent

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Published Papers (3 papers)

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Research

32 pages, 7640 KiB  
Article
Evaluating the Spatial Heterogeneity and Driving Factors of Sustainable Development Level in Chengdu with Point of Interest Data and Geographic Detector Model
by Yantao Ling, Yilang Zhao, Qingzhong Ren, Yue Qiu, Yuerong Zhang and Keyu Zhai
Land 2024, 13(7), 1018; https://doi.org/10.3390/land13071018 - 8 Jul 2024
Viewed by 1583
Abstract
Over the past few decades, China has undergone the largest and fastest urbanization process in world history. By 2023, Chengdu’s urbanization rate had reached 80.5%, significantly higher than the national average of 66.16%. Studying the urbanization experience of Chengdu is of great significance [...] Read more.
Over the past few decades, China has undergone the largest and fastest urbanization process in world history. By 2023, Chengdu’s urbanization rate had reached 80.5%, significantly higher than the national average of 66.16%. Studying the urbanization experience of Chengdu is of great significance for optimizing urban planning policies in Chengdu and other cities in China. Although much literature has explored the urbanization process from macro and micro perspectives, studies using a top-down approach to examine urban fringe expansion are relatively scarce. This study first applies the entropy weight method to analyze the spatial-temporal evolution trends of urban development, identifying areas of imbalanced development and prominent issues. Secondly, the K-means machine learning algorithm and nightlight data are used to reconstruct and classify urban regions, and a comparative analysis is conducted with administrative divisions to further identify unreasonable areas in urban spatial distribution and structure. Finally, POI data and the geographical detector method are used to analyze the micro-driving forces in areas of imbalanced development, identifying major limiting factors and solutions. The study found that the gap between urban and rural development in Chengdu is narrowing during the urbanization process, but there is severe differentiation in the second circle of Chengdu, where economic development is accelerating but residents’ happiness is declining. Moreover, analysis based on urban nightlight data and land-use data reveals that the expansion areas on the urban-rural fringe are mainly concentrated in the second circle of Chengdu. Micro-level driving factor analysis found that the western region of the second circle has many but small urban settlements, with a dense road network but scattered functional areas. The eastern region has inefficient and extensive use of construction land. Additionally, the mismatch between student status and household registration has resulted in relatively lagging educational resource development, and high entry barriers have hindered the progress of urbanization, leading to low per capita welfare expenditure. These reasons are the main factors causing the decline in residents’ happiness, and this impact shows significant differences at different temporal and spatial scales. Encouraging innovation in research and development or education can serve as a long-term and effective driving force for promoting sustainable urbanization. This study provides valuable insights for scientifically planning sustainable urban development and promoting the urbanization process. Full article
(This article belongs to the Special Issue The Development and Planning of Innovation Space and the Sustainability of Land Use)
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17 pages, 3627 KiB  
Article
The Impact of Land-Use Mix on Technological Innovation: Evidence from a Grid-Cell-Level Analysis of Shanghai, China
by Hong Jiang and Weiting Xiong
Land 2024, 13(4), 462; https://doi.org/10.3390/land13040462 - 5 Apr 2024
Cited by 1 | Viewed by 1373
Abstract
While the benefits of land-use mix have been widely analyzed with regard to transportation, public health, and economic development, relatively little attention has been paid to empirically investigating the impact of land-use mix on technological innovation at the intra-urban level. Drawing upon a [...] Read more.
While the benefits of land-use mix have been widely analyzed with regard to transportation, public health, and economic development, relatively little attention has been paid to empirically investigating the impact of land-use mix on technological innovation at the intra-urban level. Drawing upon a database of geo-coded patents that are used to reflect the capacity of technological innovation, this paper takes Shanghai as a case study and analyzes how the intra-urban distribution of technological innovation has been associated with land-use mix at the 1 km × 1 km grid cell level. Empirical results, which are robust when the grids are divided at the 2 km × 2 km level, show that the degree of land-use mix is positively associated with the number of patents for a given grid, suggesting that grids with a higher level of land-use mix are likely to have more patents, ceteris paribus. Moreover, the results demonstrate an inverted U-curve relationship between land-use mix and technological innovation, indicating that a too much higher level of land-use mix could lead to a smaller number of patents for a certain grid. In addition, the empirical results suggest the existence of spatial dependence in the effect of land-use mix on technological innovation. Full article
(This article belongs to the Special Issue The Development and Planning of Innovation Space and the Sustainability of Land Use)
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20 pages, 3403 KiB  
Article
Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River
by Min Jiang, Shuwang Yang and Guohua Zhou
Land 2024, 13(3), 292; https://doi.org/10.3390/land13030292 - 26 Feb 2024
Cited by 2 | Viewed by 1336
Abstract
The urban agglomeration in the middle reaches of the Yangtze River holds a crucial strategic position in China’s economic and social development landscape. Exploring the coordinated development effects within the digital economy and innovation in this area is conducive to promoting the development [...] Read more.
The urban agglomeration in the middle reaches of the Yangtze River holds a crucial strategic position in China’s economic and social development landscape. Exploring the coordinated development effects within the digital economy and innovation in this area is conducive to promoting the development of the central region of China and the Yangtze River Economic Belt. This paper uses the 28 sample cities in urban agglomeration in the middle reaches of the Yangtze River as the study sample, and constructs a digital economy indicator system and an urban innovation efficiency indicator system. Based on the coupling coordination degree model, we use kernel density estimation, the Markov chain algorithm, and the Dagum Gini coefficient decomposition method to empirically investigate the dynamic trends in coupling coordination development between the digital economy and urban innovation efficiency from 2012 to 2021. The research results reveal an overall upward trend in the digital economy, innovation efficiency, and coupling coordination development stages. However, the upward trend is accompanied by the risk of recession. Moreover, there are significant differences between cities, as highlighted by the differences between Wuhan and other cities. In the light of the findings, it is recommended that government departments take measures, including being alert to the risk of regressive development, developing cities in a realistic manner, and drawing on the experiences of outstanding cities in development. This research can provide new insights and empirical references for government entities to take measures for a more coordinated development of the digital economy and innovation efficiency in the urban agglomeration in the middle reaches of the Yangtze River. Full article
(This article belongs to the Special Issue The Development and Planning of Innovation Space and the Sustainability of Land Use)
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