{"title":"Characterizing residential segregation in cities using intensity, separation, and scale indicators","authors":"Lucas Spierenburg, S. Cranenburgh, O. Cats","doi":"10.2139/ssrn.4258815","DOIUrl":"https://doi.org/10.2139/ssrn.4258815","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125535221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maryam Hosseini, Andres Sevtsuk, Fábio Miranda, RobertoM. Cesar Jr., Cláudio T. Silva
{"title":"Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery","authors":"Maryam Hosseini, Andres Sevtsuk, Fábio Miranda, RobertoM. Cesar Jr., Cláudio T. Silva","doi":"10.2139/ssrn.4086624","DOIUrl":"https://doi.org/10.2139/ssrn.4086624","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133074559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiscale analysis of the influence of street built environment on crime occurrence using street-view images","authors":"Zhanjun He, Zhipeng Wang, Zhong Xie, Liang Wu, Zhanlong Chen","doi":"10.1016/j.compenvurbsys.2022.101865","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2022.101865","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120336925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generative population synthesis for joint household and individual characteristics","authors":"Zack Aemmer, D. MacKenzie","doi":"10.2139/ssrn.4015247","DOIUrl":"https://doi.org/10.2139/ssrn.4015247","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130099746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-09DOI: 10.48550/arXiv.2206.04271
Andrew J. Perrett, C. Barnes, M. Schofield, L. Qie, Petra Bosilj, James M. Brown
Open space grassland is being increasingly farmed or built upon, leading to a ramping up of conservation efforts targeting roadside verges. Approximately half of all UK grassland species can be found along the country's 500,000 km of roads, with some 91 species either threatened or near threatened. Careful management of these"wildlife corridors"is therefore essential to preventing species extinction and maintaining biodiversity in grassland habitats. Wildlife trusts have often enlisted the support of volunteers to survey roadside verges and identify new"Local Wildlife Sites"as areas of high conservation potential. Using volunteer survey data from 3,900 km of roadside verges alongside publicly available street-view imagery, we present DeepVerge; a deep learning-based method that can automatically survey sections of roadside verges by detecting the presence of positive indicator species. Using images and ground truth survey data from the rural county of Lincolnshire, DeepVerge achieved a mean accuracy of 88%. Such a method may be used by local authorities to identify new local wildlife sites, and aid management and environmental planning in line with legal and government policy obligations, saving thousands of hours of manual labour.
{"title":"DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential","authors":"Andrew J. Perrett, C. Barnes, M. Schofield, L. Qie, Petra Bosilj, James M. Brown","doi":"10.48550/arXiv.2206.04271","DOIUrl":"https://doi.org/10.48550/arXiv.2206.04271","url":null,"abstract":"Open space grassland is being increasingly farmed or built upon, leading to a ramping up of conservation efforts targeting roadside verges. Approximately half of all UK grassland species can be found along the country's 500,000 km of roads, with some 91 species either threatened or near threatened. Careful management of these\"wildlife corridors\"is therefore essential to preventing species extinction and maintaining biodiversity in grassland habitats. Wildlife trusts have often enlisted the support of volunteers to survey roadside verges and identify new\"Local Wildlife Sites\"as areas of high conservation potential. Using volunteer survey data from 3,900 km of roadside verges alongside publicly available street-view imagery, we present DeepVerge; a deep learning-based method that can automatically survey sections of roadside verges by detecting the presence of positive indicator species. Using images and ground truth survey data from the rural county of Lincolnshire, DeepVerge achieved a mean accuracy of 88%. Such a method may be used by local authorities to identify new local wildlife sites, and aid management and environmental planning in line with legal and government policy obligations, saving thousands of hours of manual labour.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126991935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-08DOI: 10.48550/arXiv.2205.03900
Arnav Joshi, Andy G. Eskenazi, Landon Butler, Megan S. Ryerson
Restructuring route networks (i.e., modifying the graph of origin-destination pairs) remains a promising alternative for reducing the airline industry's environmental impact. However, there exists a fundamental trade-off between emissions from flight and airport accessibility, since flights connecting underserved, low-accessibility communities tend to possess high CO2 per seat-mile ratios. Thus, this work develops an open-source analytical framework and methodology that restructures U.S. airline route networks to simultaneously minimize emissions and maximize airport accessibility. To achieve this goal, this paper designs a metric to quantify airport accessibility and combines it with an open-source system-wide emissions estimation methodology. This facilitates the creation of a mixed-integer linear optimization model that returns revised flight frequencies and aircraft allotment. Using United Airlines 2019 Q3 data as a case study, this model is able to construct an alternative route network with a 25% reduction on the total number of flights, 4.4% decrease in the average emissions per seat-mile and a 17.6% improvement in the spread of the airports' accessibility scores, all while satisfying historic passenger demand.
{"title":"Equitable Optimization of U.S. Airline Route Networks","authors":"Arnav Joshi, Andy G. Eskenazi, Landon Butler, Megan S. Ryerson","doi":"10.48550/arXiv.2205.03900","DOIUrl":"https://doi.org/10.48550/arXiv.2205.03900","url":null,"abstract":"Restructuring route networks (i.e., modifying the graph of origin-destination pairs) remains a promising alternative for reducing the airline industry's environmental impact. However, there exists a fundamental trade-off between emissions from flight and airport accessibility, since flights connecting underserved, low-accessibility communities tend to possess high CO2 per seat-mile ratios. Thus, this work develops an open-source analytical framework and methodology that restructures U.S. airline route networks to simultaneously minimize emissions and maximize airport accessibility. To achieve this goal, this paper designs a metric to quantify airport accessibility and combines it with an open-source system-wide emissions estimation methodology. This facilitates the creation of a mixed-integer linear optimization model that returns revised flight frequencies and aircraft allotment. Using United Airlines 2019 Q3 data as a case study, this model is able to construct an alternative route network with a 25% reduction on the total number of flights, 4.4% decrease in the average emissions per seat-mile and a 17.6% improvement in the spread of the airports' accessibility scores, all while satisfying historic passenger demand.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126534919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-01DOI: 10.48550/arXiv.2204.00198
Kento Kajiwara, Jue Ma, Toshikazu Seto, Y. Sekimoto, Y. Ogawa, Hiroshi Omata
In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies such as the location normalization plan. To optimize the reorganization of urban public infrastructure, it is important to provide detailed and accurate forecasts of the distribution of urban populations and households. However, many local governments do not have the necessary data and forecasting capability. Moreover, current forecasts of gender-and age-based population data only exist at the municipal level, and household data are only available by family type at the prefecture level. Meanwhile, the accuracy is limited with an assumption of same change rate of population in all municipalities and within each city. Therefore, the aim of this study was to develop an agent-based microsimulation household transition model, with the household as the unit and agent, and household data was estimated for all cities in Japan from 2015. Estimated household data comprised the family type, house type, and address, age, and gender of household members, obtained from the national census, and building data. The resulting household transition model was used to forecast the attributes of each household every five years. Simulations in Toyama and Shizuoka Prefectures, Japan from 1980 to 2010 provided highly accurate estimates of municipal-level population by age and household volume by family type. The proposed model was also applied to predict the future distribution of disappearing villages and vacant houses in Japan.
{"title":"Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan","authors":"Kento Kajiwara, Jue Ma, Toshikazu Seto, Y. Sekimoto, Y. Ogawa, Hiroshi Omata","doi":"10.48550/arXiv.2204.00198","DOIUrl":"https://doi.org/10.48550/arXiv.2204.00198","url":null,"abstract":"In response to the declining population and aging infrastructure in Japan, local governments are implementing compact city policies such as the location normalization plan. To optimize the reorganization of urban public infrastructure, it is important to provide detailed and accurate forecasts of the distribution of urban populations and households. However, many local governments do not have the necessary data and forecasting capability. Moreover, current forecasts of gender-and age-based population data only exist at the municipal level, and household data are only available by family type at the prefecture level. Meanwhile, the accuracy is limited with an assumption of same change rate of population in all municipalities and within each city. Therefore, the aim of this study was to develop an agent-based microsimulation household transition model, with the household as the unit and agent, and household data was estimated for all cities in Japan from 2015. Estimated household data comprised the family type, house type, and address, age, and gender of household members, obtained from the national census, and building data. The resulting household transition model was used to forecast the attributes of each household every five years. Simulations in Toyama and Shizuoka Prefectures, Japan from 1980 to 2010 provided highly accurate estimates of municipal-level population by age and household volume by family type. The proposed model was also applied to predict the future distribution of disappearing villages and vacant houses in Japan.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1016/j.compenvurbsys.2021.101733
Aditya Tafta Nugraha, B. Waterson, S. Blainey, Frederick J. Nash
{"title":"Unravelling the dynamics behind the urban morphology of port-cities using a LUTI model based on cellular automata","authors":"Aditya Tafta Nugraha, B. Waterson, S. Blainey, Frederick J. Nash","doi":"10.1016/j.compenvurbsys.2021.101733","DOIUrl":"https://doi.org/10.1016/j.compenvurbsys.2021.101733","url":null,"abstract":"","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118514841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-16DOI: 10.20944/preprints202112.0309.v1
B. Jiang, C. D. Rijke
As Christopher Alexander discovered, all space or matter – either organic or inorganic – has some degree of order in it according to its structure and arrangement. The order refers to a kind of structural character, called living structure, which is defined as a mathematical structure that consists of numerous substructures with an inherent hierarchy. Across the hierarchy, there are far more small substructures than large ones, while on each level of the hierarchy the substructures are more or less similar in size. In this paper we develop a new approach to representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order. A geographic space is first represented as a hierarchy of recursively defined subspaces, and all the subspaces are then topologically represented as a network for computing the degree of order of the geographic space, as well as that of its subspaces. Unlike conventional geographic representations, which are mechanical in nature, this new geographic representation is organic, conceived, and developed under the third view of space; that is, space is neither lifeless nor neutral, but a living structure capable of being more living or less living. Thus, the order can also be referred to as life, beauty, coherence, or harmony. We applied the new representation to three urban environments, 253 patterns, and 35 black-white strips to verify it and to demonstrate advantages of the new approach and the new kind of order. We further discuss the implications of the approach and the order on geographic information science and sustainable urban planning.
{"title":"Representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order","authors":"B. Jiang, C. D. Rijke","doi":"10.20944/preprints202112.0309.v1","DOIUrl":"https://doi.org/10.20944/preprints202112.0309.v1","url":null,"abstract":"As Christopher Alexander discovered, all space or matter – either organic or inorganic – has some degree of order in it according to its structure and arrangement. The order refers to a kind of structural character, called living structure, which is defined as a mathematical structure that consists of numerous substructures with an inherent hierarchy. Across the hierarchy, there are far more small substructures than large ones, while on each level of the hierarchy the substructures are more or less similar in size. In this paper we develop a new approach to representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order. A geographic space is first represented as a hierarchy of recursively defined subspaces, and all the subspaces are then topologically represented as a network for computing the degree of order of the geographic space, as well as that of its subspaces. Unlike conventional geographic representations, which are mechanical in nature, this new geographic representation is organic, conceived, and developed under the third view of space; that is, space is neither lifeless nor neutral, but a living structure capable of being more living or less living. Thus, the order can also be referred to as life, beauty, coherence, or harmony. We applied the new representation to three urban environments, 253 patterns, and 35 black-white strips to verify it and to demonstrate advantages of the new approach and the new kind of order. We further discuss the implications of the approach and the order on geographic information science and sustainable urban planning.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130101888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-30DOI: 10.21203/rs.3.rs-957212/v1
K. Burghardt, Johannes H. Uhl, Kristina Lerman, S. Leyk
We examine a key component of human settlements mediating pollution and congestion, as well as economic development: roads and their expansion in cities, towns, and villages. Our analysis of road networks in more than 850 US cities and rural counties since 1900 reveals significant variations in the structure of roads both within cities and across the conterminous US. Despite differences in the evolution of these networks, there are commonalities: newer roads tend to become less grid-like. These results persist across the rural-urban continuum and are therefore not just a product of urban growth. These findings illuminate the need for policies for urban and rural planning including the critical assessment of new development trends.
{"title":"Road network evolution in the urban and rural United States since 1900","authors":"K. Burghardt, Johannes H. Uhl, Kristina Lerman, S. Leyk","doi":"10.21203/rs.3.rs-957212/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-957212/v1","url":null,"abstract":"\u0000 We examine a key component of human settlements mediating pollution and congestion, as well as economic development: roads and their expansion in cities, towns, and villages. Our analysis of road networks in more than 850 US cities and rural counties since 1900 reveals significant variations in the structure of roads both within cities and across the conterminous US. Despite differences in the evolution of these networks, there are commonalities: newer roads tend to become less grid-like. These results persist across the rural-urban continuum and are therefore not just a product of urban growth. These findings illuminate the need for policies for urban and rural planning including the critical assessment of new development trends.","PeriodicalId":309282,"journal":{"name":"Comput. Environ. Urban Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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