The use of electric bikes (e-bikes) is attracting increasing attention from researchers and policymakers as a way to promote sustainable transportation. However, knowledge about the built environment factors that influence e-bike use is lacking. In China, most evidence on e-bikes and travel behavior stems from big cities; there is much less evidence concerning small cities and their adjacent rural areas. Using travel data collected in a small Chinese city (Ganyu), the present research explores the impact of the built environment around residential and work locations on individuals’ commute mode choice, with a particular focus on e-bike use. Consistent with the few previous studies on travel behavior in small Chinese cities, we find that most residents of Ganyu commute only short distances and that the e-bike is the primary mode for their daily commutes. The results of a nested logit model show that e-bike use is more popular among females and low-income groups, and that certain built environment characteristics at the work location promote e-bike use. Moreover, the built environment in different geographical contexts has different influences on commute mode choice. In particular, the presence of city/town roads without bike lanes at work locations promotes e-bike use among rural residents but much less so among urban residents.
{"title":"To e-bike or not to e-bike? A study of the impact of the built environment on commute mode choice in small Chinese city","authors":"Yangbang Hu, Anae Sobhani, D. Ettema","doi":"10.5198/JTLU.2021.1807","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1807","url":null,"abstract":"The use of electric bikes (e-bikes) is attracting increasing attention from researchers and policymakers as a way to promote sustainable transportation. However, knowledge about the built environment factors that influence e-bike use is lacking. In China, most evidence on e-bikes and travel behavior stems from big cities; there is much less evidence concerning small cities and their adjacent rural areas. Using travel data collected in a small Chinese city (Ganyu), the present research explores the impact of the built environment around residential and work locations on individuals’ commute mode choice, with a particular focus on e-bike use. Consistent with the few previous studies on travel behavior in small Chinese cities, we find that most residents of Ganyu commute only short distances and that the e-bike is the primary mode for their daily commutes. The results of a nested logit model show that e-bike use is more popular among females and low-income groups, and that certain built environment characteristics at the work location promote e-bike use. Moreover, the built environment in different geographical contexts has different influences on commute mode choice. In particular, the presence of city/town roads without bike lanes at work locations promotes e-bike use among rural residents but much less so among urban residents.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"479-497"},"PeriodicalIF":1.9,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70642891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shanghai has experienced a rapid process of urbanization and urban expansion, which increases travel costs and limits job accessibility for the economically disadvantaged population. This paper investigates the jobs-housing imbalance problem in Shanghai at the subdistrict-level (census-level) and reaches the following conclusions. First, the jobshousing imbalance shows a ring pattern and is evident mainly in the suburban areas and periphery of the Shanghai metropolitan area because job opportunities are highly concentrated while residential areas are sprawling. Second, structural factors such as high housing prices and sprawling development significantly contribute to the jobs-housing imbalance. Third, regional planning policies such as development zones contribute to jobs-housing imbalance due to the specialized industrial structure and limited availability of housing. However, geographically weighted regression reveals the development zones in the traditional Pudong district are exceptional insofar as government policy has created spatial heterogeneity there. In addition, the multilevel model used in this study suggests regions with jobs-housing imbalance usually have well-connected streets, and this represents the local government’s efforts to reduce excessive commuting times created by jobs-housing imbalance.
{"title":"Understanding jobs-housing imbalance in urban China: A case study of Shanghai","authors":"Weiye Xiao, Dennis Wei, Handuo Li","doi":"10.5198/JTLU.2021.1805","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1805","url":null,"abstract":"Shanghai has experienced a rapid process of urbanization and urban expansion, which increases travel costs and limits job accessibility for the economically disadvantaged population. This paper investigates the jobs-housing imbalance problem in Shanghai at the subdistrict-level (census-level) and reaches the following conclusions. First, the jobshousing imbalance shows a ring pattern and is evident mainly in the suburban areas and periphery of the Shanghai metropolitan area because job opportunities are highly concentrated while residential areas are sprawling. Second, structural factors such as high housing prices and sprawling development significantly contribute to the jobs-housing imbalance. Third, regional planning policies such as development zones contribute to jobs-housing imbalance due to the specialized industrial structure and limited availability of housing. However, geographically weighted regression reveals the development zones in the traditional Pudong district are exceptional insofar as government policy has created spatial heterogeneity there. In addition, the multilevel model used in this study suggests regions with jobs-housing imbalance usually have well-connected streets, and this represents the local government’s efforts to reduce excessive commuting times created by jobs-housing imbalance.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44109690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The decline of children’s independent mobility (CIM) is now a global concern. This study aims to identify the determinants of the territorial range (TR) of CIM, i.e., the geographical distance between home and places where children are allowed to wander. TR for both discretionary and nondiscretionary trips is studied based on data collected through a questionnaire survey, travel diary, and mapping of travel routes. The study sample was comprised of 151 children 9-14 years of age from Dhaka, Bangladesh. Built environment (BE) data were collected/derived through walkability audits of children’s walking routes and spatial analyses. Children’s TR was regressed by BE, socio-demographics, and perceptual factors. Three multiple regression models were estimated: overall TR, discretionary TR, and nondiscretionary TR. Results showed that children had a longer TR for nondiscretionary trips (664.14 m) compared to discretionary trips (397.9 m). Discretionary TR was largely explained by angular step-depth, street connectivity and the condition of the walking environment of the taken routes. In contrast, angular step-depth, the presence of commercial and retail land uses and the condition of the walking environment were found to be significant predictors of nondiscretionary TR. Children’s perception of social and physical dangers and their satisfaction with tree coverage in the neighborhood also influenced their TR. The findings can inform measures to be taken to expand TR in the urban environment.
{"title":"Modelling children’s independent territorial range by discretionary and nondiscretionary trips","authors":"Samia Sharmin, M. Kamruzzaman, M. Haque","doi":"10.5198/JTLU.2021.1889","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1889","url":null,"abstract":"The decline of children’s independent mobility (CIM) is now a global concern. This study aims to identify the determinants of the territorial range (TR) of CIM, i.e., the geographical distance between home and places where children are allowed to wander. TR for both discretionary and nondiscretionary trips is studied based on data collected through a questionnaire survey, travel diary, and mapping of travel routes. The study sample was comprised of 151 children 9-14 years of age from Dhaka, Bangladesh. Built environment (BE) data were collected/derived through walkability audits of children’s walking routes and spatial analyses. Children’s TR was regressed by BE, socio-demographics, and perceptual factors. Three multiple regression models were estimated: overall TR, discretionary TR, and nondiscretionary TR. Results showed that children had a longer TR for nondiscretionary trips (664.14 m) compared to discretionary trips (397.9 m). Discretionary TR was largely explained by angular step-depth, street connectivity and the condition of the walking environment of the taken routes. In contrast, angular step-depth, the presence of commercial and retail land uses and the condition of the walking environment were found to be significant predictors of nondiscretionary TR. Children’s perception of social and physical dangers and their satisfaction with tree coverage in the neighborhood also influenced their TR. The findings can inform measures to be taken to expand TR in the urban environment.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48619715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Road traffic is a common source of negative environmental externalities such as noise and air pollution. While existing transport models are capable of accurately representing environmental stressors of road traffic, this is less true for integrated land-use/transport models. So-called land-use-transport-environment models aim to integrate environmental impacts. However, the environmental implications are often analyzed as an output of the model only, even though research suggests that the environment itself can have an impact on land use. The few existing models that actually introduce a feedback between land-use and environment fall back on aggregated zonal values. This paper presents a proof of concept for an integrated, microscopic and agent-based approach for a feedback loop between transport-related noise emissions and land-use. The results show that the microscopic link between the submodels is operational and fine-grained analysis by different types of agents is possible. It is shown that high-income households react differently to noise exposure when compared low-income households. The presented approach opens new possibilities for analyzing and understanding noise abatement policies as well as issues of environmental equity. The methodology can be transferred to include air pollutant emissions in the future.
{"title":"Traffic noise feedback in agent-based Integrated Land-Use/Transport Models","authors":"Nico Kuehnel, Dominik Ziemke, R. Moeckel","doi":"10.5198/JTLU.2021.1852","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1852","url":null,"abstract":"Road traffic is a common source of negative environmental externalities such as noise and air pollution. While existing transport models are capable of accurately representing environmental stressors of road traffic, this is less true for integrated land-use/transport models. So-called land-use-transport-environment models aim to integrate environmental impacts. However, the environmental implications are often analyzed as an output of the model only, even though research suggests that the environment itself can have an impact on land use. The few existing models that actually introduce a feedback between land-use and environment fall back on aggregated zonal values. This paper presents a proof of concept for an integrated, microscopic and agent-based approach for a feedback loop between transport-related noise emissions and land-use. The results show that the microscopic link between the submodels is operational and fine-grained analysis by different types of agents is possible. It is shown that high-income households react differently to noise exposure when compared low-income households. The presented approach opens new possibilities for analyzing and understanding noise abatement policies as well as issues of environmental equity. The methodology can be transferred to include air pollutant emissions in the future.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"325–344-325–344"},"PeriodicalIF":1.9,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49609592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manish Shirgaokar, Aditi Misra, Asha Weinstein Agrawal, M. Wachs, B. Dobbs
Ride-hailing services such as Lyft and Uber can complement rides offered by family, friends, paid providers, and public transit. To learn why older adults might wish to use ride-hail, we conducted an online survey of 2,917 California respondents age 55 and older. Participants were asked whether they would value four features hypothesized to be benefits of ride-hailing. We specified binary logit models and used market segmentation to investigate whether there were location-based differences in the use of ride-hailing. Our analysis showed that women, city dwellers, persons with disabilities, and those who rely on others for rides were more open to ride-hailing. Women in suburbs or small town/ rural settings were more likely to ride-hail than their male counterparts for reasons of independence, fear of being lost while driving, or getting help with carrying bags. Urban women, in contrast, were less likely than their male counterparts to ride-hail for these reasons. High-income individuals in suburbs or small town/rural locations were more likely to ride-hail than low-income respondents, while high-income urban residents were less likely to ride-hail. Adoption of ride-hailing services and the reasons for doing so showed strong variability by location even among respondents with similar socio-demographic attributes.
{"title":"Differences in ride-hailing adoption by older Californians among types of locations","authors":"Manish Shirgaokar, Aditi Misra, Asha Weinstein Agrawal, M. Wachs, B. Dobbs","doi":"10.5198/JTLU.2021.1827","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1827","url":null,"abstract":"Ride-hailing services such as Lyft and Uber can complement rides offered by family, friends, paid providers, and public transit. To learn why older adults might wish to use ride-hail, we conducted an online survey of 2,917 California respondents age 55 and older. Participants were asked whether they would value four features hypothesized to be benefits of ride-hailing. We specified binary logit models and used market segmentation to investigate whether there were location-based differences in the use of ride-hailing. Our analysis showed that women, city dwellers, persons with disabilities, and those who rely on others for rides were more open to ride-hailing. Women in suburbs or small town/ rural settings were more likely to ride-hail than their male counterparts for reasons of independence, fear of being lost while driving, or getting help with carrying bags. Urban women, in contrast, were less likely than their male counterparts to ride-hail for these reasons. High-income individuals in suburbs or small town/rural locations were more likely to ride-hail than low-income respondents, while high-income urban residents were less likely to ride-hail. Adoption of ride-hailing services and the reasons for doing so showed strong variability by location even among respondents with similar socio-demographic attributes.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43722980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julia Kinigadner, D. Vale, Benjamin Büttner, G. Wulfhorst
Undoubtedly, climate change and its mitigation have emerged as main topics in public discourse. While accessibility planning is recognized for supporting sustainable urban and transport development in general, the specific challenge of reducing transportrelated greenhouse gas emissions has rarely been directly addressed. Traditionally, accessibility is operationalized in line with the user perception of the transport system. Travel-time-based measures are considered to be closely linked with travel behavior theory, whereas CO2 emissions are not necessarily a major determinant of travel decisions. Given the changed prioritization of objectives, additional emphasis should be placed on the environmental costs of travel rather than solely the user costs. Accessibility analysis could account for this shift in perspectives by using CO2 emissions instead of travel time in the underlying cost function. While losing predictive power in terms of travel behavior compared to other implementations of accessibility, carbon-based accessibility analysis enables a normative understanding of travel behavior as it ought to be. An application in the Munich region visualizes the differences between travel-time-based and carbonbased accessibility by location, transport mode, and specification of the accessibility measure. The emerging accessibility landscapes illustrate the ability of carbon-based accessibility analysis to provide new insights into land use and transport systems from a different perspective. Based on this exercise, several use cases in the context of low-carbon mobility planning are discussed and pathways to further develop and test the method in cooperation with decision-makers are outlined. 346 JOURNAL OF TRANSPORT AND LAND USE 14.1 ceeded in decreasing emissions (EEA, 2019; US EPA, 2019). Environmental objectives seem to be in conflict with the social and economic benefits linked to mobility (Banister, 2011). Accessibility, determined by the joint characteristics of the land use and transport systems, could be a suitable concept to address this challenge. The first reason for employing accessibility to plan for low carbon mobility options is its intrinsic capability to integrate land use and transport planning. Dense and mixed use urban development can contribute to the goal of greenhouse gas emission reductions, especially if oriented towards public transport systems (Banister, 2011; Schwanen, Banister, & Anable, 2011). Thus, consideration of land use configurations and policies is indispensable in promoting sustainable transport (Loo & Tsoi, 2018). Increased vehicle efficiency will not solve the issue of transport-related emissions if separation of urban functions, suburbanization, and car dependence prevail (Chapman, 2007). Multimodal mobility behavior, increasingly enabled by innovative mobility services, will not suffice if the level of travel activity, in particular trip distance, continues to grow (Heinen & Mattioli, 2019). Through the intro
{"title":"Shifting perspectives: A comparison of travel-time-based and carbon-based accessibility landscapes","authors":"Julia Kinigadner, D. Vale, Benjamin Büttner, G. Wulfhorst","doi":"10.5198/JTLU.2021.1741","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1741","url":null,"abstract":"Undoubtedly, climate change and its mitigation have emerged as main topics in public discourse. While accessibility planning is recognized for supporting sustainable urban and transport development in general, the specific challenge of reducing transportrelated greenhouse gas emissions has rarely been directly addressed. Traditionally, accessibility is operationalized in line with the user perception of the transport system. Travel-time-based measures are considered to be closely linked with travel behavior theory, whereas CO2 emissions are not necessarily a major determinant of travel decisions. Given the changed prioritization of objectives, additional emphasis should be placed on the environmental costs of travel rather than solely the user costs. Accessibility analysis could account for this shift in perspectives by using CO2 emissions instead of travel time in the underlying cost function. While losing predictive power in terms of travel behavior compared to other implementations of accessibility, carbon-based accessibility analysis enables a normative understanding of travel behavior as it ought to be. An application in the Munich region visualizes the differences between travel-time-based and carbonbased accessibility by location, transport mode, and specification of the accessibility measure. The emerging accessibility landscapes illustrate the ability of carbon-based accessibility analysis to provide new insights into land use and transport systems from a different perspective. Based on this exercise, several use cases in the context of low-carbon mobility planning are discussed and pathways to further develop and test the method in cooperation with decision-makers are outlined. 346 JOURNAL OF TRANSPORT AND LAND USE 14.1 ceeded in decreasing emissions (EEA, 2019; US EPA, 2019). Environmental objectives seem to be in conflict with the social and economic benefits linked to mobility (Banister, 2011). Accessibility, determined by the joint characteristics of the land use and transport systems, could be a suitable concept to address this challenge. The first reason for employing accessibility to plan for low carbon mobility options is its intrinsic capability to integrate land use and transport planning. Dense and mixed use urban development can contribute to the goal of greenhouse gas emission reductions, especially if oriented towards public transport systems (Banister, 2011; Schwanen, Banister, & Anable, 2011). Thus, consideration of land use configurations and policies is indispensable in promoting sustainable transport (Loo & Tsoi, 2018). Increased vehicle efficiency will not solve the issue of transport-related emissions if separation of urban functions, suburbanization, and car dependence prevail (Chapman, 2007). Multimodal mobility behavior, increasingly enabled by innovative mobility services, will not suffice if the level of travel activity, in particular trip distance, continues to grow (Heinen & Mattioli, 2019). Through the intro","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"345-365"},"PeriodicalIF":1.9,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41691594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the major critiques of land use-transport interaction (LUTI) models over the ages has been their over-dependence on individualized software and context. In an effort to address some of these concerns, this study proposes a framework to construct "virtual cities" that can act as sandboxes for testing different features of a LUTI model, as well as provide the capability to compare different LUTI models. We develop an approach to translate any prototypical transportation infrastructure network into a plausible land use zoning plan and synthetic population that are suitable for spatially detailed LUTI microsimulation of the virtual city. Disaggregate units of spatial geometry, like parcels and post codes, are generated using geospatial techniques applied to the transportation network. Households and jobs are randomly sampled from an actual city, and allocated in the virtual city based on matching density gradients. Students are matched with schools and workers are matched with jobs to complete the calibration of a synthetic population for the virtual city. Following the adjustment of behavioral models to complement the reduced scale of the virtual city, we demonstrate the integration between the land use and transportation simulation components in our LUTI model, SimMobility. The benefits of faster convergence times and shorter simulation times are clearly demonstrated through this exercise. We hope that this study, and the open-source releases of the SimMobility software with the virtual city database, can accelerate experimentation with LUTI models and aid the transition from individualized LUTI models to a common shared integrated urban modeling platform.
{"title":"framework to generate virtual cities as sandboxes for land use-transport interaction models","authors":"Rounaq Basu, Roberto Ponce‐Lopez, J. Ferreira","doi":"10.5198/JTLU.2021.1791","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1791","url":null,"abstract":"One of the major critiques of land use-transport interaction (LUTI) models over the ages has been their over-dependence on individualized software and context. In an effort to address some of these concerns, this study proposes a framework to construct \"virtual cities\" that can act as sandboxes for testing different features of a LUTI model, as well as provide the capability to compare different LUTI models. We develop an approach to translate any prototypical transportation infrastructure network into a plausible land use zoning plan and synthetic population that are suitable for spatially detailed LUTI microsimulation of the virtual city. Disaggregate units of spatial geometry, like parcels and post codes, are generated using geospatial techniques applied to the transportation network. Households and jobs are randomly sampled from an actual city, and allocated in the virtual city based on matching density gradients. Students are matched with schools and workers are matched with jobs to complete the calibration of a synthetic population for the virtual city. Following the adjustment of behavioral models to complement the reduced scale of the virtual city, we demonstrate the integration between the land use and transportation simulation components in our LUTI model, SimMobility. The benefits of faster convergence times and shorter simulation times are clearly demonstrated through this exercise. We hope that this study, and the open-source releases of the SimMobility software with the virtual city database, can accelerate experimentation with LUTI models and aid the transition from individualized LUTI models to a common shared integrated urban modeling platform.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"303-323"},"PeriodicalIF":1.9,"publicationDate":"2021-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42763167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We estimate the off-street parking supply of the seven most economically productive cities in Santa Clara County, California, better known as Silicon Valley. Using assessor data, municipal zoning data, and visual inspection of aerial imagery, we estimate that about 13 percent of the land area in these cities is devoted to parking, and that more than half of the average commercial parcel is parking space. This latter fact suggests that minimum parking requirements, if binding, depress Silicon Valley’s commercial and industrial densities, and thus its economic output. In an exploratory empirical exercise, we simulate a reduction in parking requirements from the year 2000 forward and show that under conservative assumptions the region could have added space for nearly 13,000 jobs, equivalent to a 37 percent increase over the actual job growth that occurred during that time. These additional jobs would be disproportionately located in the region’s highest-wage zip codes and could add more than $1 billion in payroll annually, further implying a large productivity gain.
{"title":"opportunity cost of parking requirements: Would Silicon Valley be richer if its parking requirements were lower?","authors":"C. J. Gabbe, M. Manville, Taner Osman","doi":"10.5198/JTLU.2021.1758","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1758","url":null,"abstract":"We estimate the off-street parking supply of the seven most economically productive cities in Santa Clara County, California, better known as Silicon Valley. Using assessor data, municipal zoning data, and visual inspection of aerial imagery, we estimate that about 13 percent of the land area in these cities is devoted to parking, and that more than half of the average commercial parcel is parking space. This latter fact suggests that minimum parking requirements, if binding, depress Silicon Valley’s commercial and industrial densities, and thus its economic output. In an exploratory empirical exercise, we simulate a reduction in parking requirements from the year 2000 forward and show that under conservative assumptions the region could have added space for nearly 13,000 jobs, equivalent to a 37 percent increase over the actual job growth that occurred during that time. These additional jobs would be disproportionately located in the region’s highest-wage zip codes and could add more than $1 billion in payroll annually, further implying a large productivity gain.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41465971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Duncan, Kristin Gladwin, Brittany S. Wood, Yazmin Valdez Torres, M. Horner
This study seeks to examine the ways in which transit agencies and local governments have been considering the transportation needs of older adults when planning for transit-oriented development (TOD). Surveys with representatives from a sample of transit agencies (n= 15) and local governments (n=31) from across the US were conducted. Few of the surveyed agencies indicated that they had specific practices that encourage TOD to help meet the transportation needs of older adults. Respondents identified the cost of development, market forces, and the lack of specific amenities for older adults as the primary barriers to attracting aging groups to TOD.
{"title":"Transit-oriented development for older adults: A survey of current practices among transit agencies and local governments in the US","authors":"Michael Duncan, Kristin Gladwin, Brittany S. Wood, Yazmin Valdez Torres, M. Horner","doi":"10.5198/JTLU.2021.1798","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1798","url":null,"abstract":"This study seeks to examine the ways in which transit agencies and local governments have been considering the transportation needs of older adults when planning for transit-oriented development (TOD). Surveys with representatives from a sample of transit agencies (n= 15) and local governments (n=31) from across the US were conducted. Few of the surveyed agencies indicated that they had specific practices that encourage TOD to help meet the transportation needs of older adults. Respondents identified the cost of development, market forces, and the lack of specific amenities for older adults as the primary barriers to attracting aging groups to TOD.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"255-276"},"PeriodicalIF":1.9,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48134992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A traffic impact sketch planning (TISP) model is presented for the estimation of the likely travel demand generated by a major land-use development or redevelopment project. The proposed approach overcomes the problems with the non-behavioral transportation-related studies used in practice for assessing the development design impacts on the local transportation system. The architectural design of the development, in terms of the number and type of dwellings, by number of bedrooms per unit, and the land-use categories of the non-residential floorspace, are reflected in the TISP model through an integrated population and employment synthesis approach. The population synthesis enables the feasible deployment of an agent-based microsimulation (ABM) model system of daily activity and travel demand for a quick, efficient, and detailed assessment of the transportation impacts of a proposed neighborhood or development. The approach is not restricted to a certain type of dataset of the control variables for the geographic location of the development. Datasets for different geographic dimensions of the study area, with some common control variables, are merged and cascaded into a synthesized, disaggregate population of resident persons, households and jobs. The prototype implementation of the TISP model is for Waterfront Toronto’s Bayside Development Phase 2, using the operational TASHA-based GTAModel V4.1 ABM travel demand model system. While the conventional transportation studies focus on the assessment of the local traffic impacts in the immediate surroundings of the development, the TISP model investigates and assesses many transportation related impacts in the district, city, and region, for both residents and non-residents of the development. TISP model analysis includes the overall spatiotemporal trips distribution generated by the residents and non-residents of the development for the auto and non-auto mobility systems and the simulated agents diurnal peaking travel times. The model results are compared with the trips estimates by a prior project traffic impact study and the Institute of Transportation Engineers (ITE) Trip Generation Manual (TGM) rates of weekday trips for the relevant land uses. Future extensions and improvements of the model including the generalization and full automation of the model, and the bi-level macro-micro representation of the transportation network are also discussed.
{"title":"An agent-based transportation impact sketch planning (TISP) model system","authors":"Ayad Hammadi, E. Miller","doi":"10.5198/JTLU.2021.1863","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1863","url":null,"abstract":"A traffic impact sketch planning (TISP) model is presented for the estimation of the likely travel demand generated by a major land-use development or redevelopment project. The proposed approach overcomes the problems with the non-behavioral transportation-related studies used in practice for assessing the development design impacts on the local transportation system. The architectural design of the development, in terms of the number and type of dwellings, by number of bedrooms per unit, and the land-use categories of the non-residential floorspace, are reflected in the TISP model through an integrated population and employment synthesis approach. The population synthesis enables the feasible deployment of an agent-based microsimulation (ABM) model system of daily activity and travel demand for a quick, efficient, and detailed assessment of the transportation impacts of a proposed neighborhood or development. The approach is not restricted to a certain type of dataset of the control variables for the geographic location of the development. Datasets for different geographic dimensions of the study area, with some common control variables, are merged and cascaded into a synthesized, disaggregate population of resident persons, households and jobs.\u0000The prototype implementation of the TISP model is for Waterfront Toronto’s Bayside Development Phase 2, using the operational TASHA-based GTAModel V4.1 ABM travel demand model system. While the conventional transportation studies focus on the assessment of the local traffic impacts in the immediate surroundings of the development, the TISP model investigates and assesses many transportation related impacts in the district, city, and region, for both residents and non-residents of the development. TISP model analysis includes the overall spatiotemporal trips distribution generated by the residents and non-residents of the development for the auto and non-auto mobility systems and the simulated agents diurnal peaking travel times. The model results are compared with the trips estimates by a prior project traffic impact study and the Institute of Transportation Engineers (ITE) Trip Generation Manual (TGM) rates of weekday trips for the relevant land uses. Future extensions and improvements of the model including the generalization and full automation of the model, and the bi-level macro-micro representation of the transportation network are also discussed.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"14 1","pages":"219-253"},"PeriodicalIF":1.9,"publicationDate":"2021-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47427252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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