International Journal of Urban Sciences最新文献

{"title":"Framework for hourly demand forecasting of bike-sharing stations: case study of the four main gate areas in Seoul","authors":"Jungyeol Hong, Eunryong Han, Dongjoo Park","doi":"10.1080/12265934.2024.2317198","DOIUrl":"https://doi.org/10.1080/12265934.2024.2317198","url":null,"abstract":"Shared bicycles represent a sharing economy for solving complex urban traffic problems. Therefore, their demand has been steadily increasing since the introduction of shared bicycles in Seoul. The ...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139768076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the intermodality between public transport and bike-sharing using smartcard trip Chain data","authors":"Christian Kapuku, Shin Hyoung Park, Shin-Hyung Cho","doi":"10.1080/12265934.2024.2312284","DOIUrl":"https://doi.org/10.1080/12265934.2024.2312284","url":null,"abstract":"Intermodality of public transit mitigates the negative impacts in an urban area, and many cities are opting for developing a more sustainable and integrated public transport system. This study deve...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139768075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transferability of hometown landholdings and rural migrants’ entrepreneurship: evidence from a pilot rural land use reform in China","authors":"Mingzhi Hu, Jie Chen","doi":"10.1080/12265934.2023.2301100","DOIUrl":"https://doi.org/10.1080/12265934.2023.2301100","url":null,"abstract":"","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The interaction between smartness and the urban economy","authors":"Seungil Yum","doi":"10.1080/12265934.2023.2283564","DOIUrl":"https://doi.org/10.1080/12265934.2023.2283564","url":null,"abstract":"While many studies have tried to measure the magnitude of smart cities, they have not highlighted the degree of smartness and the interaction between smartness and the urban economy across all regi...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images","authors":"Hee-Jung Jun, Suyoung Jung, Seungyeoup Kang, Taewan Kim, Cheol-Ho Cho, Won Young Jhoo, Jae-Pil Heo","doi":"10.1080/12265934.2023.2282190","DOIUrl":"https://doi.org/10.1080/12265934.2023.2282190","url":null,"abstract":"This study aimed to examine the factors associated with pedestrian–vehicle collision hotspots involving seniors and children. For the empirical analysis, we first quantified street-level images of ...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence enabled participatory planning: a review","authors":"Jiaxin Du, Xinyue Ye, Piotr Jankowski, Tom Sanchez, Gengchen Mai","doi":"10.1080/12265934.2023.2262427","DOIUrl":"https://doi.org/10.1080/12265934.2023.2262427","url":null,"abstract":"ABSTRACTParticipatory planning is a democratic spatial decision-making process involving multiple stakeholders. The integration of artificial intelligence (AI) methods in participatory planning has the potential to improve the decision-making process. However, there are challenges and limitations that need to be addressed. In this paper, we systematically review the progress of AI-enabled participatory planning, identifying strengths and weaknesses. We used a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework for our analysis, highlighting the opportunities for advancing AI in participatory planning and the potential threats that may arise. Our study provides valuable insights into the current state of AI-enabled participatory planning, paving the way for future developments and improvements.HighlightsDeep learning elevates participatory spatial decisions.AI’s strengths in urban planning are on data, communication, and automation.Emerging AI tools support richer urban research contexts.Challenges remain on digital divide, trust, privacy, and accountability.AI’s potential is an ethical urban asset rather than a controversial adversary.KEYWORDS: Artificial intelligenceGISparticipatory planningspatial decision support‌AI challenges and limitationsdemocratic decision-making Disclosure statementNo potential conflict of interest was reported by the author(s). We wish to extend our sincere gratitude to the anonymous reviewers for their insightful comments, constructive criticisms, and invaluable suggestions, all of which significantly improved the quality of this paper. We also thank the editor for their guidance and support throughout the review process. Their collective expertise and dedication have greatly enhanced our work. Additionally, we are grateful for the discussions with Dr. Walter Peacock and Dr. Michelle Meyer from Texas A&M University.Additional informationFundingThis work was supported by USA National Science Foundation [grant number 2122054, 2232533].","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135597602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated framework for addressing urban challenges in smart cities: transitioning from the V-model to a knowledge-action approach","authors":"Junqing Tang, Jennifer Schooling, Chenyu Yang, Fengjue Huang, Wei Lyu, Timea Nochta, Juan Sebastián Cañavera-Herrera, Viviana Bastidas, Kwadwo Oti-Sarpong","doi":"10.1080/12265934.2023.2262424","DOIUrl":"https://doi.org/10.1080/12265934.2023.2262424","url":null,"abstract":"ABSTRACTDigital technologies and tools have been widely deployed in smart city initiatives to improve operations, resource allocation, and infrastructure management. Due to high complexity and diversity, however, numerous technologies have simultaneously created obstacles for practitioners when choosing appropriate tools for certain urban challenges. This study proposes a knowledge-action guiding framework (K-A framework), based on the classic V-model, useful for guiding practitioners to scan through appropriate digital technologies and tools for addressing urban challenges and societal issues. A toolbox was also developed to support the use of the framework. It outlines a comprehensive landscape of popular and emerging digital tools in digitalizing urban services. Essentially, the K-A framework provides a ‘how-to’ in terms of identifying potential tools, while the digital toolbox shows ‘what-are-the-options’ for the users of the framework. The case study underscores the usefulness of the framework and toolbox as effective practical guides for formulating action solutions. HighlightsWe propose a knowledge-action framework based on a classic systems engineering modelThis framework can guide practitioners to identify digital technologies and toolsA comprehensive toolbox was provided to support the use of the frameworkA case study of urban safety issues was applied to validate the framework and toolboxNonlinear thinking and professional competency are key for city planners and managersKEYWORDS: Urban challengedigital technologysmart citypolicymakingurban safety AcknowledgmentThis research is supported by (1) the Ove Arup Foundation (Digital Cities for Change project) (RG89525); (2) The Start-up Funding for New Faculty at Peking University Shenzhen Graduate School (1270110033); (3) Guangdong Basic and Applied Basic Research Foundation (2021A1515110537;2023A1515010979) and (4) the National Natural Science Foundation of China (42376213). We thank Miss Huali Lin for her initial assistance in the early stage of this paper.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research is supported by (1) the Ove Arup Foundation (Digital Cities for Change project) (RG89525); (2) The Start-up Funding for New Faculty at Peking University Shenzhen Graduate School (1270110033); (3) Guangdong Basic and Applied Basic Research Foundation (2021A1515110537;2023A1515010979) and (4) the National Natural Science Foundation of China (42376213).","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surviving the pandemic: COVID-19 and restaurant closures in Suzhou","authors":"Lin Lin, Qiantao Zhang, Zihao Chen","doi":"10.1080/12265934.2023.2262419","DOIUrl":"https://doi.org/10.1080/12265934.2023.2262419","url":null,"abstract":"ABSTRACTThe outbreak of COVID-19 disrupts the economy and presents challenges to small and medium enterprises in various sectors. Focused on the restaurant industry in Suzhou, China, this study draws upon secondary data from Meituan Dianping and Baidu Map API and considers how variables related to restaurants themselves and variables pertaining to restaurants’ built environment conditions contribute to their survival during the pandemic with the use of regression analysis. For restaurants, it is important to have certain core competencies, such as price or quality advantage, if they were to survive external shocks. In addition, high population density of a restaurant’s surrounding area, one of the most crucial factors in determining business success under normal circumstances, significantly reduces its survival likelihood during the pandemic. We conclude by outlining opportunities for future research. HighlightsThis study examines what determines restaurant survival in the pandemic.The survival is influenced by both restaurant and built environment factors.Restaurants need to have specific core competencies to survive market shocks.Density and accessibility have adverse impacts on restaurant survival.The analysis provides policy suggestions for similar circumstances in the future.KEYWORDS: COVID-19core competenciesbuilt environmentrestaurantssurvival Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Xi'an Jiaotong-Liverpool University: [Grant Number Key Program Special Fund (KSF-E-43)].","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135581824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intercity networks and urban performance: a geographical text mining approach","authors":"Tongjing Wang, E. Meijers, Ziyu Bao, Huijuan Wang","doi":"10.1080/12265934.2023.2253193","DOIUrl":"https://doi.org/10.1080/12265934.2023.2253193","url":null,"abstract":"Compared to the burgeoning literature discussing the importance of agglomeration externalities for development, limited attention has been given to network externalities. This is largely due to limited data availability. We propose a general measure to proxy city network externalities based on toponym co-occurrences that indicate the relatedness between cities. This paper extracts intercity relationships based on the co-occurrence of Chinese place names on 2.5 billion webpages. We calculate and map absolute and relative network positions, which we use to explain urban labour productivity. We found that a stronger embeddedness in networks of cities is signi fi cantly and positively associated with urban productivity. Smaller cities bene fi t comparatively more from being well embedded in city networks, suggesting that these relations can compensate for a lack of agglomeration externalities. We also compare the importance for urban performance of city network externalities vis-à-vis agglomeration externalities. City network externalities turn out to be more important in explaining urban performance than agglomeration externalities. This calls for new theorizing on a relational approach to urban and regional development. Rather than stimulating further concentration of urbanization, our fi ndings suggest that fostering relationships between cities is a viable alternative urban development strategy. We conclude with suggestions for a research agenda that delves deeper into city network externalities.","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47360991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which network effectively supports urban economic growth? Evidence from China","authors":"Song Wang, Xinru Wang, Canyu Yang, Liang Dai","doi":"10.1080/12265934.2023.2253198","DOIUrl":"https://doi.org/10.1080/12265934.2023.2253198","url":null,"abstract":"","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47745434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}