Journal of Urban Management最新文献

{"title":"Impact of COVID-19 on Airbnb occupancy rate in Bandung, Indonesia","authors":"Adiwan Fahlan Aritenang","doi":"10.1016/j.jum.2024.10.003","DOIUrl":"10.1016/j.jum.2024.10.003","url":null,"abstract":"<div><div>The emergence of sharing economy, especially accommodation platform has enable people to rent and capitalize on their private properties by renting to others. However, with the covid-19 pandemic and proximity to first-tier city it is crucial to examine how these sharing accommodation properties survives.</div><div>The paper investigates how urban neighbourhoods, Airbnb characteristics and urban mobility restrictions determine rental occupancy rates in Bandung, a second-tier city, during the COVID-19 pandemic. This paper examines; (i) the dynamics of determinant factors of occupancy rates before and after the pandemic and (ii) the impact of mobility and spatial proximity to first-tier city on sharing accommodations’ occupancy rates. This study uses econometric and spatial analysis with more than 2200 Airbnb property listings registered between 2016 and 2020 in Bandung city.</div><div>Our study found a shift of preferences in a more urban direction and electronic word-of-mouth (eWOM) variables continuing with a slight decline in the pandemic. Comparison between before and during the pandemic suggests the persistent of high occupancy rate concentration only in in private listings, and located near to tourist attractions and a variety of amenities. Our finding calls for urban policies that limits the geographical distribution of short-term rental (STR) properties to avoid wider gentrification, safety risks, and pressure to the local housing supply.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 1","pages":"Pages 147-159"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unbalanced burden is escalating: Urban inequality landscape under sudden shocks?","authors":"Yinshuai Li ,&nbsp;Nan Jia ,&nbsp;Wen Song ,&nbsp;Jie Cheng ,&nbsp;Ruishan Chen","doi":"10.1016/j.jum.2024.08.006","DOIUrl":"10.1016/j.jum.2024.08.006","url":null,"abstract":"<div><div>Sudden and unforeseen events, notably the COVID-19 pandemic has underscored and exacerbated pre-existing urban inequalities. These disruptions have disproportionately affected the most vulnerable sectors of society, thereby further aggravating existing inequalities. Addressing these inequality issues requires systematic research into academic community's response to significant global disturbances. Therefore, we have integrated bibliometric analysis with meta-analysis (quantitatively combines research results from systematic reviews) techniques, culminating in a research framework based on KNIME software (a software for creating data applications and services) and Python programming. Noteworthy for its open-source nature, scalability, and reproducibility, this framework tries to decode the developmental patterns and response characteristics of urban inequality research under sudden shocks. Additionally, it seeks to clarify its causal pathways, predict the emergence of new or strengthened inequalities, and provide effective suggestions to promote inclusive and sustainable urban development. Our findings indicate that the COVID-19 has exacerbated the existing urban inequality, attracting widespread attention in fields such as society and public health. Issues of fairness and justice of human health, resource allocation, urban resilience and vulnerability have become hot topics around COVID-19 related urban inequalities. Simultaneously, the sudden shocks have led to disparities in research areas and themes. Social, economic, and urban planning are the main drivers behind urban inequality, and particularly affecting vulnerable groups, including low-income populations and those living in remote regions. Before and after the COVID-19, the average global urban inequality are 0.57 and 0.61, respectively. Inequality issues are particularly severe in Africa and countries such as Afghanistan, Pakistan, and India. The pandemic changed the focus of urban inequality to health and social issues, worsening inequality performance in these regions and deepening global gaps. Additionally, countries with high urban inequality are more prone to large-scale outbreaks and higher mortality rates. To this end, we advocate academia for in-depth research and comprehensive evaluation, focusing on vulnerable groups, providing integrated policy recommendations, supporting interdisciplinary exchanges and cooperation, and committing to find long-term sustainable solutions. These efforts aim to propose more comprehensive and reasonable solutions to alleviate and address complex urban inequality issues under sudden shocks.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 1","pages":"Pages 32-48"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The factors in assessing “good houses” are multidimensional","authors":"Chen Hua","doi":"10.1016/j.jum.2025.02.003","DOIUrl":"10.1016/j.jum.2025.02.003","url":null,"abstract":"<div><div>This paper examines the key factors in evaluating a \"good house.\" When designing and constructing a house, safety must be a priority throughout the entire process. Based on the characteristics of the intended user group, potential health and hygiene risks should be minimized, and the spatial configuration of living facilities should be thoughtfully planned. From a long-term perspective, the house should accommodate various user behaviors while balancing cost-effectiveness and visual appeal. Additionally, a well-equipped community with strong interpersonal relationships and a prime location contributes significantly to the overall convenience of a “good house.” Beyond its function as real estate, a house also holds cultural and financial value, both of which influence its evaluation. As societal needs evolve, factors such as energy efficiency, environmental sustainability, personalized design, and the ability to support multiple concurrent activities will increasingly shape the standards for evaluating a “good house.”</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 311-313"},"PeriodicalIF":3.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From a visual standpoint: Exploring the influence of the built environment, especially road ratio, on mental wellbeing before and after the COVID-19 outbreak in Hong Kong","authors":"Ning Chen ,&nbsp;Xiaodong Chen ,&nbsp;Pengyu Zhu","doi":"10.1016/j.jum.2024.09.004","DOIUrl":"10.1016/j.jum.2024.09.004","url":null,"abstract":"<div><div>Road ratio, representing the proportion of roads in the street view, exerts varying degrees of visual influence on the mental well-being of residents. In our study, we surveyed the psychological conditions of 2,636 Hong Kong residents across four periods: before, during, and after the pandemic. Utilizing machine learning algorithms, we analyzed street view images within a 100-m radius of the residents' locations to determine the proportion of roads within the street views. This served as a representation of the visual impact of roads on residents. Subsequently, we employed Ordinary Least Squares (OLS) models and Multinomial Logit (MNL) models to investigate the relationship between the proportion of road presence in street views and the frequency of various forms of stress among residents across the four identified periods. Our findings indicate that an increase in road ratio correlates with a higher incidence of diverse stress forms. This effect was particularly pronounced during the pandemic, where the influence of road ratio on the frequency of depressive episodes intensified and persisted even after the pandemic had ended. The significance of our research lies in its implications for future urban planning, specifically in how road ratio near residential areas can be reduced and offset with more natural elements to mitigate the adverse effects of road ratio on residents' mental health.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 325-341"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associating COVID-19 prevalence and built environment design: An explainable machine learning approach","authors":"Qingyao Qiao ,&nbsp;Chongyang Ren ,&nbsp;Shuning Chen ,&nbsp;Reka Tundokova ,&nbsp;Ka Yan Lai ,&nbsp;Chinmoy Sarkar ,&nbsp;Yulun Zhou ,&nbsp;Chris Webster ,&nbsp;Eric Schuldenfrei","doi":"10.1016/j.jum.2024.10.009","DOIUrl":"10.1016/j.jum.2024.10.009","url":null,"abstract":"<div><div>Stay-at-home orders were globally adopted as one of the most important nonpharmaceutical interventions (NPIs) during the recent global pandemic. In a high-rise high-density context of Hong Kong, inter-building airborne transmissions were reported, especially in public housing. The role of residential building design in infection dynamics is under-studied. To unravel how architectural and urban design was linked to airborne virus transmission during the pandemic, we fitted explainable machine learning (EML) models associating COVID-19 prevalence with architectural design controlling for other built environment (BE) factors including socio-demographics, road information, land use, and points of interest (POIs). 284 public housing that underwent restriction-testing declaration (RTD) during the peak period of the pandemic's fifth wave were our sample. An additional 35 RTD-issued private housing blocks were used for an initial comparison of infection prevalence across public and private housing. Our findings show a significant differential in prevalence over different design forms, with \"8-\" and \"L-\" shaped buildings appearing to be more susceptible, with a significantly greater percentage of infections than \"X-\" and \"Y-\" shaped structures. The percentage of vacant land, public residential within a 500-m buffer, and the proportion of children ages under 14 ​at small tertiary planning unit level (STPU) were the three most influential co-variates in our model. Among specific architectural design features, the number of floors, radial layouts, and building corners were the most significantly associated with COVID-19 prevalence, followed by building average flat (apartment) size and shape factor. The study indicates that public housing residents were more at risk during this wave of the pandemic, which needs further investigation. Using machine learning, we provide insights into how to manage the design of high density neighbourhoods for resilience against airborne disease vectors.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 342-361"},"PeriodicalIF":3.9,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discovering the urban pattern through human mobility and virtual space","authors":"Ehsan Dorostkar","doi":"10.1016/j.jum.2025.01.004","DOIUrl":"10.1016/j.jum.2025.01.004","url":null,"abstract":"<div><div>Citizens' activities on social media reflect their movements, which lends itself to capturing human mobility and can take explanatory sequential research in this area a big step forward. This research investigates the triangular pattern that emerges from the 3 phase sides of the human mobility study area. The main problem is that the pattern of human mobility in the world's cities is not properly recognized. To answer the question “What is the pattern of human mobility in the city of Tehran based on the triangular model?”, human mobility is divided into 4 categories: Job, Education, Shopping, and Leisure, which are the most demanded in the city. Therefore, the sides of the triangular human mobility pattern are presented in 3 socio-spatial, socio-temporal, and temporal-spatial sections. With the identification of human mobility in the above 4 categories, from case to case and as a simple experiment that can be conducted in the cities around the world the above 4 categories were separated and identified as triangles of human mobility in urban space. In this analysis, it was found that the relationships between shopping, education, and leisure are close and interrelated, and the activities of job, education, and shopping are also interrelated.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 607-614"},"PeriodicalIF":3.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram","authors":"Yingying Ma,&nbsp;Wenyi Xie,&nbsp;Xiaoran Qin,&nbsp;Zebang Liang,&nbsp;Ziyan Guan","doi":"10.1016/j.jum.2025.01.002","DOIUrl":"10.1016/j.jum.2025.01.002","url":null,"abstract":"<div><div>The urban transportation system is vital for efficient daily travel. Understanding how urban road network density and width influence traffic performance is crucial for informed decision-making in urban planning. In this study, we designed three homogeneous square road networks with varying densities and conducted simulation experiments. By controlling for heterogeneity in road network structure and variables such as network size, road area ratio, and traffic input, we ensured effective comparison of simulation results. Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. This analysis enables comparison of road network performance under different vehicle arrival rates and traffic input variations, exploring the impact of the \"narrow and dense network\" strategy on reliability, stability, and efficiency. In addition, the results of our proposed scatter fitting method are similar to previous clustering-then-fitting methods and compensate for the challenges in critical point estimation. Results indicate that, while maintaining a constant road area ratio, higher density improves network reliability but may initially decrease stability, while efficiency varies with traffic conditions and examination angles. These findings elucidate the interplay between road network density, width, traffic state, and macroscopic performance, providing a basis for rational urban road network construction.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 543-561"},"PeriodicalIF":3.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the endogenous drivers of mega-urbanisation in contemporary urban development","authors":"Xinqin Liu ,&nbsp;Runzhu Gu ,&nbsp;Sujit Kumar Sikder ,&nbsp;Zhiqiu Xie ,&nbsp;Chika Takatori ,&nbsp;Xiaoping Xie","doi":"10.1016/j.jum.2025.01.001","DOIUrl":"10.1016/j.jum.2025.01.001","url":null,"abstract":"<div><div>The urbanisation process of recent decades has resulted in new urban structures that can be circumscribed by two standard concepts, namely the megacity and the metropolitan region. One common feature of these new structures is that cities/urban areas are becoming much larger in population as well as spatial size and continue to grow unabated – a trend of “mega-urbanisation”. The planning and administrative systems set up under the traditional urban-rural dichotomy no longer reflect the reality of settlement growth and therefore lead to a blurring of city boundaries and challenges in the management of urban areas. Here we make use of geospatial modeling and open-source data for a high-level spatial-linking approach across multiple scales and a long-term perspective in three distinct socio-economic settings, specifically Germany, Japan and China's Yangtze River Delta region and therefore visualize urban development trends over 45 years. Our mapping indicates that the emergence of megacities and metropolitan regions is primarily driven by endogenous industrial change, particularly between the secondary and tertiary sectors of the economy. Our findings shed new light on research in regional development and planning and demonstrate the need to go beyond the prevailing discussion that focuses on advanced producer services in the context of an ever-advancing globalisation process.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 530-542"},"PeriodicalIF":3.9,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the interplay of urbanization, economic development, and seaborne trade: Revealing their connection to urban resilience in Saudi Arabia","authors":"AHM Mehbub Anwar ,&nbsp;Nourah Alhosain ,&nbsp;Yagyavalk Bhatt","doi":"10.1016/j.jum.2024.12.004","DOIUrl":"10.1016/j.jum.2024.12.004","url":null,"abstract":"<div><div>Urbanization is widely acknowledged as a significant driver of a nation's economic growth and participation in global trade. However, there is considerable debate regarding the sequence of events: whether urbanization fosters economic development and, subsequently, trade, economic growth, and trade precede urbanization, or whether there is a reciprocal relationship between them. Each perspective has its theoretical underpinnings, necessitating empirical evidence to discern the causal direction, which holds significant policy implications. This research explores the relationship between urbanization, economic development, and trade over the short and long term. Through a comprehensive examination utilizing cointegration and Granger causality tests conducted on data from Saudi Arabia from 1991 to 2022, the study first establishes the integration order of the variables. Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. The findings unveil a relationship between urbanization and economic development, with evidence pointing to bidirectional causality between these variables across both short and long terms. Regarding the relationship between trade and economic development, while short-term causality flows in both directions, the long-term analysis suggests a unidirectional relationship between trade and economic development. This implies an indirect linkage between trade and urbanization through GDP, as no direct causality between trade and urbanization is evident. Finally, this paper uncovers this interactive connection to urban resilience.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 512-529"},"PeriodicalIF":3.9,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS and remote sensing methods in predicting the dissipation time of rural settlements under the influence of climate change in the Republic of Serbia","authors":"Aleksandar Valjarević","doi":"10.1016/j.jum.2024.12.002","DOIUrl":"10.1016/j.jum.2024.12.002","url":null,"abstract":"<div><div>In this research the specific methodology used to better analyzed rural settlements and they properties. The Geographical Information Systems and Remote Sensing approaches taken to connect rural settlements with the climate change effects in Serbia. For the first time the classification of settlements after approved methodology divided in accordance of new spatial relations within the situation in Serbia. Ten morphometric types of rural settlements were analyzed in terms of social, economic, transport, demographic and climatic factors. The effects of climate change, estimated in this study, will become even more noticeable by 2050. The results showed that the rural settlements (villages) in southern and eastern Serbia are very similar to the villages in central Banat in terms of resolution and low value of mitigation of the effects of climate change. In 2050, 35% of the villages in the south, 30% in the east, and 23% in other regions will be dissipated. The total number of dissipated rural settlements in the period from 2011 to 2050 is 680 or 15% in total. By means of GIS and remote sensing methods, all rural settlements were mapped and presented statistically, along with their characteristics. This method is useful for the analysis of rural settlements with 0–15,000 inhabitants. The shape of the settlements was also analyzed and the zones with the strongest impacts of climate change were marked. The hazardous events are divided into extreme rainfall, wind, drought and maximum temperatures and compared with the types of rural settlements. The climate factors included, together with other parameters such as socio-economic, demographic and urban planning factors, provide a complete overview and a better understanding of the survival of rural settlements in the future. The main contribution of this research is the creation of a new classification of rural settlements, taking into account the effects of climate change and new socio-economic theories. In this way, the old classifications and theories that were established fifty years ago will be improved.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 500-511"},"PeriodicalIF":3.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}