Portland Central City has experienced growth in population and employment over the last decades, which leads to an increase in travel demand. One of the visions of the Central City 2035 plan is to encourage walking. This paper presents a model of pedestrian travel demand to help assess the impact of land use and transportation policies in the Central City area. The model is an enhanced version of the Model of Pedestrian Demand (MoPeD). Realistic scenarios and the projected population and employment are incorporated in this study. Four future scenarios for 2035 are tested and compared to 2010 base conditions. The results suggest that demographic growth and job increases can help to encourage a large share of walk trips. Pedestrian behavior is also sensitive to network connectivity, but the influence is not as impactful compared to population and job growth. Furthermore, model results show that a good street network and a dense and diverse land-use plan can maximize the effects of promoting walk trips. This paper presents the capability of the pedestrian planning tool MoPeD. It is sensitive to the small-scale variations in local land use and transport development, which can help policymakers better understand the effects of various demographic policies and infrastructure planning on the walk share.
{"title":"Assessing pedestrian impacts of future land use and transportation scenarios","authors":"Qin Zhang, R. Moeckel, K. Clifton","doi":"10.5198/jtlu.2022.2117","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2117","url":null,"abstract":"Portland Central City has experienced growth in population and employment over the last decades, which leads to an increase in travel demand. One of the visions of the Central City 2035 plan is to encourage walking. This paper presents a model of pedestrian travel demand to help assess the impact of land use and transportation policies in the Central City area. The model is an enhanced version of the Model of Pedestrian Demand (MoPeD). Realistic scenarios and the projected population and employment are incorporated in this study. Four future scenarios for 2035 are tested and compared to 2010 base conditions. The results suggest that demographic growth and job increases can help to encourage a large share of walk trips. Pedestrian behavior is also sensitive to network connectivity, but the influence is not as impactful compared to population and job growth. Furthermore, model results show that a good street network and a dense and diverse land-use plan can maximize the effects of promoting walk trips. This paper presents the capability of the pedestrian planning tool MoPeD. It is sensitive to the small-scale variations in local land use and transport development, which can help policymakers better understand the effects of various demographic policies and infrastructure planning on the walk share.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41381137","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 San Francisco Bay Area is one of the most progressive transportation regions in the deployment of high-capacity transit and the use of policies to encourage active transportation. Yet, there remains a dearth of knowledge on the abundance and location of parking infrastructure. The extent and location of parking supply, including on-street and off-street spaces, are estimated for the nine-county Bay Area by creating a federated database that joins land use, transportation, parcel, building, and parking code layers to estimate the number and characteristics of parking spaces at the census block scale. This bottom-up parking space inventory results in an estimated 15 million parking spaces in the region: 8.6 million on-street and 6.4 million off-street. Residential parking dominates the share of supply at 70%, followed by commercial at 9.4%. Space density is greatest in downtown San Francisco, Oakland, and San Jose—largely attributed to high-rise structures. On-street parking is dominant in the North Bay, commanding 78% of total parking in Napa, 75% in Solano, 68% in Sonoma, and 67% in Marin County. Parking area constitutes 7.9% of the total incorporated area. Notably, when compared to other southwest cities (Phoenix Metropolitan Area and Los Angeles County), the Bay Area parking supply appears better utilized considering spaces per person, per car, and per job. The density and quantity of parking spaces in the Bay Area are critical insights toward developing targeted policies that encourage active mobility and support affordable housing.
{"title":"Parking by the bay: The supply and implications of parking infrastructure in the San Francisco Bay Area","authors":"Rui Li, Alysha M. Helmrich, M. Chester","doi":"10.5198/jtlu.2022.2123","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2123","url":null,"abstract":"The San Francisco Bay Area is one of the most progressive transportation regions in the deployment of high-capacity transit and the use of policies to encourage active transportation. Yet, there remains a dearth of knowledge on the abundance and location of parking infrastructure. The extent and location of parking supply, including on-street and off-street spaces, are estimated for the nine-county Bay Area by creating a federated database that joins land use, transportation, parcel, building, and parking code layers to estimate the number and characteristics of parking spaces at the census block scale. This bottom-up parking space inventory results in an estimated 15 million parking spaces in the region: 8.6 million on-street and 6.4 million off-street. Residential parking dominates the share of supply at 70%, followed by commercial at 9.4%. Space density is greatest in downtown San Francisco, Oakland, and San Jose—largely attributed to high-rise structures. On-street parking is dominant in the North Bay, commanding 78% of total parking in Napa, 75% in Solano, 68% in Sonoma, and 67% in Marin County. Parking area constitutes 7.9% of the total incorporated area. Notably, when compared to other southwest cities (Phoenix Metropolitan Area and Los Angeles County), the Bay Area parking supply appears better utilized considering spaces per person, per car, and per job. The density and quantity of parking spaces in the Bay Area are critical insights toward developing targeted policies that encourage active mobility and support affordable housing.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42521016","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}
R. Hemphill, John Macarthur, Philip Longenecker, Garim Desai, Lillie Nie, Abbey Ibarra, Jennifer Dill
With the proliferation of electric scooters (e-scooters) in cities across the world, concerns continue to arise about their parking spots on sidewalks and other public spaces. Research has looked at e-scooter parking compliance and compared compliance to other mobility devices, but research has not yet examined the impacts of the built environment on parking compliance. Using a field observation dataset in Portland, Oregon, and novel GIS data, we attempt to understand the spatial distribution of e-scooter parking and the impact of built features on parking compliance, offering recommendations for policymakers and future research. The results of our study show that 76% of e-scooters observed fail at least one of the Portland’s parking compliance requirements and 59% fail at least two criteria. However, compliance varies spatially and by violation type, indicating that parking compliance (or non-compliance) is dependent on features of the built environment. Parking compliance is significantly higher on blocks with designated e-scooter parking than blocks without designated e-scooter parking. A statistically significant relationship is observed between the amount of legally parkable area on a city block and parking compliance. Parking compliance increases with larger percentages of legally parkable area. This finding can help policymakers prioritize dedicated e-scooter parking for blocks with limited legally parkable area.
{"title":"Congested sidewalks: The effects of the built environment on e-scooter parking compliance","authors":"R. Hemphill, John Macarthur, Philip Longenecker, Garim Desai, Lillie Nie, Abbey Ibarra, Jennifer Dill","doi":"10.5198/jtlu.2022.2110","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2110","url":null,"abstract":"With the proliferation of electric scooters (e-scooters) in cities across the world, concerns continue to arise about their parking spots on sidewalks and other public spaces. Research has looked at e-scooter parking compliance and compared compliance to other mobility devices, but research has not yet examined the impacts of the built environment on parking compliance. Using a field observation dataset in Portland, Oregon, and novel GIS data, we attempt to understand the spatial distribution of e-scooter parking and the impact of built features on parking compliance, offering recommendations for policymakers and future research. The results of our study show that 76% of e-scooters observed fail at least one of the Portland’s parking compliance requirements and 59% fail at least two criteria. However, compliance varies spatially and by violation type, indicating that parking compliance (or non-compliance) is dependent on features of the built environment. Parking compliance is significantly higher on blocks with designated e-scooter parking than blocks without designated e-scooter parking. A statistically significant relationship is observed between the amount of legally parkable area on a city block and parking compliance. Parking compliance increases with larger percentages of legally parkable area. This finding can help policymakers prioritize dedicated e-scooter parking for blocks with limited legally parkable area.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42432554","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}
Dominik Ziemke, Nico Kuehnel, C. Llorca, R. Moeckel, K. Nagel
Integrated land-use transport models are often accused of being too complex, too coarse or too slow. We tightly couple the microscopic land use model SILO (Simple Integrated Land Use Orchestrator) with the agent-based transport simulation model MATSim (Multi-Agent Transport Simulation). The integration of the two models is person-centric. It means, firstly, that travel demand is generated microscopically. Secondly, SILO agents can query individualized travel information to search for housing or jobs (and to choose among available modes). Consequently, travel time matrices (skim matrices) are not needed anymore. Travel time queries can be done for any time of the day (instead of for one or few time periods), any x/y coordinate (instead of a limited number of zones) and take into account properties of the individual. This way, we avoid aggregation issues (e.g., large zones that disguise local differences) and we can account for individual constraints (e.g., nighttime workers who cannot commute by public transport for lack of service). Therefore, the behavior of agents is represented realistically, which allows us to simulate their reaction to novel policies (e.g., emission-class-based vehicle restrictions) and to extract system-wide effects. The model is applied in two study areas: a toy scenario and the metropolitan region of Munich. We simulate various transport and land use policies to test the model capabilities, including public transport extensions, zones restricted for private cars and land use development regulations. The results demonstrate that the increase of the model resolution and model expressiveness facilitates the simulation of such policies and the interpretation of the results.
{"title":"FABILUT: The Flexible Agent-Based Integrated Land Use/Transport Model","authors":"Dominik Ziemke, Nico Kuehnel, C. Llorca, R. Moeckel, K. Nagel","doi":"10.5198/jtlu.2022.2126","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2126","url":null,"abstract":"Integrated land-use transport models are often accused of being too complex, too coarse or too slow. We tightly couple the microscopic land use model SILO (Simple Integrated Land Use Orchestrator) with the agent-based transport simulation model MATSim (Multi-Agent Transport Simulation). The integration of the two models is person-centric. It means, firstly, that travel demand is generated microscopically. Secondly, SILO agents can query individualized travel information to search for housing or jobs (and to choose among available modes). Consequently, travel time matrices (skim matrices) are not needed anymore. Travel time queries can be done for any time of the day (instead of for one or few time periods), any x/y coordinate (instead of a limited number of zones) and take into account properties of the individual. This way, we avoid aggregation issues (e.g., large zones that disguise local differences) and we can account for individual constraints (e.g., nighttime workers who cannot commute by public transport for lack of service). Therefore, the behavior of agents is represented realistically, which allows us to simulate their reaction to novel policies (e.g., emission-class-based vehicle restrictions) and to extract system-wide effects. The model is applied in two study areas: a toy scenario and the metropolitan region of Munich. We simulate various transport and land use policies to test the model capabilities, including public transport extensions, zones restricted for private cars and land use development regulations. The results demonstrate that the increase of the model resolution and model expressiveness facilitates the simulation of such policies and the interpretation of the results.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41906530","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}
Understanding the impact of transport systems on the spatial agglomeration of urban facilities is critical for urban and transport planning. Recent studies show three separate mechanisms, including matching, sharing, and trip chaining on the agglomeration of commercial facilities, but little is known about which of these mechanisms is dominant and how its dominance varies across transport systems. Aiming at empirically investigating the mechanisms, we first calculate a simple agglomeration index for 69 Japanese cities and then explore the association between the index and city-level characteristics (including transport) using a decision tree analysis. The results confirm that (1) cities with larger areas and higher train shares experience agglomeration, presumably through matching and/or trip chaining, while cities with smaller areas have less agglomeration despite high train shares; and (2) car-dependent cities experience agglomeration, presumably through sharing, particularly by agglomerating in their residential and roadside areas. These findings indicate that effective agglomeration forces vary across transport systems.
{"title":"On the empirical association between spatial agglomeration of commercial facilities and transportation systems in Japan: A nationwide analysis","authors":"Maya Safira, M. Chikaraishi","doi":"10.5198/jtlu.2022.1968","DOIUrl":"https://doi.org/10.5198/jtlu.2022.1968","url":null,"abstract":"Understanding the impact of transport systems on the spatial agglomeration of urban facilities is critical for urban and transport planning. Recent studies show three separate mechanisms, including matching, sharing, and trip chaining on the agglomeration of commercial facilities, but little is known about which of these mechanisms is dominant and how its dominance varies across transport systems. Aiming at empirically investigating the mechanisms, we first calculate a simple agglomeration index for 69 Japanese cities and then explore the association between the index and city-level characteristics (including transport) using a decision tree analysis. The results confirm that (1) cities with larger areas and higher train shares experience agglomeration, presumably through matching and/or trip chaining, while cities with smaller areas have less agglomeration despite high train shares; and (2) car-dependent cities experience agglomeration, presumably through sharing, particularly by agglomerating in their residential and roadside areas. These findings indicate that effective agglomeration forces vary across transport systems.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41575578","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}
Despite the worldwide popularity of bus rapid transit (BRT), empirical evidence of its effects on land uses and development remains limited. This paper examines BRT’s impacts on land use and development in Bogotá and Quito, by using a parcel-level difference-in-differences research design. We estimate a propensity score-weighted regression model of parcel development characteristics in treatment and control areas. In Bogotá, although parcels in close proximity to the BRT are subject to fewer changes in terms of development intensity (changes in built-up area) in relation to parcels in the control area, they are more likely to change uses, shifting toward commercial activities. In Quito, the results are mixed; parcels in one BRT corridor are more likely to be subject to redevelopment, but the parcels in a more recent BRT corridor are less likely to be subject to development activity in relation to parcels in the control corridor. Taken together, our results suggest that changes in land use are important but frequently overlooked impacts produced by BRT implementation. Attempts to capture value from mass transit investments should also consider the ancillary planning decisions required to allow changes in land use.
{"title":"Bus rapid transit impacts on land uses and development over time in Bogotá and Quito","authors":"C. E. Vergel-Tovar, D. Rodriguez","doi":"10.5198/jtlu.2022.1888","DOIUrl":"https://doi.org/10.5198/jtlu.2022.1888","url":null,"abstract":"Despite the worldwide popularity of bus rapid transit (BRT), empirical evidence of its effects on land uses and development remains limited. This paper examines BRT’s impacts on land use and development in Bogotá and Quito, by using a parcel-level difference-in-differences research design. We estimate a propensity score-weighted regression model of parcel development characteristics in treatment and control areas. In Bogotá, although parcels in close proximity to the BRT are subject to fewer changes in terms of development intensity (changes in built-up area) in relation to parcels in the control area, they are more likely to change uses, shifting toward commercial activities. In Quito, the results are mixed; parcels in one BRT corridor are more likely to be subject to redevelopment, but the parcels in a more recent BRT corridor are less likely to be subject to development activity in relation to parcels in the control corridor. Taken together, our results suggest that changes in land use are important but frequently overlooked impacts produced by BRT implementation. Attempts to capture value from mass transit investments should also consider the ancillary planning decisions required to allow changes in land use.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44072111","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}
Transportation planners, engineers, and researchers have long lamented the highly emotional public responses generated by changes to parking policies. We know that reducing the supply and increasing the price for parking—while intended to advance sustainability and other important community goals—seems to fuel an angry response, but this knowledge is often vague and anecdotal. This study combines qualitative coding of open-ended survey responses with quantitative analyses of sociodemographic and commute characteristics using descriptive statistics and binary logistic regression models to reveal a strong correlation between parking and anger among University of Wisconsin-Milwaukee (UWM) campus users. Higher probabilities of anger are also positively associated with annual household incomes below $50,000, bus pass holders, and residential locations outside of the immediate UWM neighborhood. Qualitative themes from angry comments include frustrations about parking price, supply, and duration; questions about the motivations for university parking policies; and a sense of entitlement among campus users to free and inexpensive parking options. The study interprets these variables and themes together to provide insights into the complicated relationship between parking and anger and the importance of analyzing angry feedback to inform future policies.
{"title":"University campus parking: It’s all the rage","authors":"Hayley Wiers, R. Schneider","doi":"10.5198/jtlu.2022.2038","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2038","url":null,"abstract":"Transportation planners, engineers, and researchers have long lamented the highly emotional public responses generated by changes to parking policies. We know that reducing the supply and increasing the price for parking—while intended to advance sustainability and other important community goals—seems to fuel an angry response, but this knowledge is often vague and anecdotal. This study combines qualitative coding of open-ended survey responses with quantitative analyses of sociodemographic and commute characteristics using descriptive statistics and binary logistic regression models to reveal a strong correlation between parking and anger among University of Wisconsin-Milwaukee (UWM) campus users. Higher probabilities of anger are also positively associated with annual household incomes below $50,000, bus pass holders, and residential locations outside of the immediate UWM neighborhood. Qualitative themes from angry comments include frustrations about parking price, supply, and duration; questions about the motivations for university parking policies; and a sense of entitlement among campus users to free and inexpensive parking options. The study interprets these variables and themes together to provide insights into the complicated relationship between parking and anger and the importance of analyzing angry feedback to inform future policies.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49333076","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}
Improved accessibility by transit service constitutes a critical component in removing spatial barriers in daily mobility for disadvantaged groups. However, the effects of transit accessibility on the daily mobility and activity participation of different social strata remain inconclusive. This study investigates the role of transit accessibility on the activity space of three income groups in Hong Kong. The results show that the availability of transit stations and network accessibility by mass transit rail (MTR) are significantly linked to the spatial extensiveness of activity space of the higher- and medium-income commuters, while bus plays a more important role for the daily mobility of the low-income group. Concerning non-work activity participation, the low-income non-commuters appear less affected by the availability of MTR stations than the other two groups, suggesting a potentially lower ability of using MTR to carry out different daily activities. Our findings offer some in-depth insights into the possible social inequality of using transit service, thereby contributing to a more nuanced understanding of the relationship between transit accessibility and mobility in relation to economic status. Policy recommendations to alleviate transport disadvantage and improve social equity are proposed.
{"title":"The role of transit accessibility in influencing the activity space and non-work activity participation of different income groups","authors":"Sui Tao, Sylvia Y. He, D. Ettema, Shuli Luo","doi":"10.5198/jtlu.2022.2075","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2075","url":null,"abstract":"Improved accessibility by transit service constitutes a critical component in removing spatial barriers in daily mobility for disadvantaged groups. However, the effects of transit accessibility on the daily mobility and activity participation of different social strata remain inconclusive. This study investigates the role of transit accessibility on the activity space of three income groups in Hong Kong. The results show that the availability of transit stations and network accessibility by mass transit rail (MTR) are significantly linked to the spatial extensiveness of activity space of the higher- and medium-income commuters, while bus plays a more important role for the daily mobility of the low-income group. Concerning non-work activity participation, the low-income non-commuters appear less affected by the availability of MTR stations than the other two groups, suggesting a potentially lower ability of using MTR to carry out different daily activities. Our findings offer some in-depth insights into the possible social inequality of using transit service, thereby contributing to a more nuanced understanding of the relationship between transit accessibility and mobility in relation to economic status. Policy recommendations to alleviate transport disadvantage and improve social equity are proposed.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48020545","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}
Global South cities are vastly underrepresented in the literature that analyzes the relationships between location choice, land-use patterns and travel behavior. This paper aims to reduce that underrepresentation by bringing new evidence from a metropolitan region in the Global South. We estimate a Structural Equation Model to study the relationships between land-use patterns, location choice, car ownership and travel behavior, while controlling for self-selection, in the metropolitan region of São Paulo, Brazil. The model structure is adapted from previous applications to include variables related with specific aspects of the studied region, with the inclusion of informal work and people working two jobs, while simultaneously controlling for cohort effects associated with being a millennial. The results support the claim that land-use patterns influence travel behavior, even in a metropolitan area showing strong income-based spatial segregation levels. More specifically, commuting distance and car ownership act as important mediators in the relationships between the total amount of travel by mode and land-use patterns. In contrast to previous applications of this model framework, income plays a stronger role, an indication of relevant income-based residential sorting. Cohort effects are also visible, as millennials prefer to live in central, accessible, and mixed areas, own fewer cars, travel less by car, and use public transit and non-motorized modes more frequently.
{"title":"Land-use patterns, location choice, and travel behavior: Evidence from São Paulo","authors":"J. de Abreu e Silva, S. Lucchesi","doi":"10.5198/jtlu.2022.2125","DOIUrl":"https://doi.org/10.5198/jtlu.2022.2125","url":null,"abstract":"Global South cities are vastly underrepresented in the literature that analyzes the relationships between location choice, land-use patterns and travel behavior. This paper aims to reduce that underrepresentation by bringing new evidence from a metropolitan region in the Global South. We estimate a Structural Equation Model to study the relationships between land-use patterns, location choice, car ownership and travel behavior, while controlling for self-selection, in the metropolitan region of São Paulo, Brazil. The model structure is adapted from previous applications to include variables related with specific aspects of the studied region, with the inclusion of informal work and people working two jobs, while simultaneously controlling for cohort effects associated with being a millennial. The results support the claim that land-use patterns influence travel behavior, even in a metropolitan area showing strong income-based spatial segregation levels. More specifically, commuting distance and car ownership act as important mediators in the relationships between the total amount of travel by mode and land-use patterns. In contrast to previous applications of this model framework, income plays a stronger role, an indication of relevant income-based residential sorting. Cohort effects are also visible, as millennials prefer to live in central, accessible, and mixed areas, own fewer cars, travel less by car, and use public transit and non-motorized modes more frequently.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46371385","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}
Recent literature argues that many transit-oriented development (TOD) projects have failed because their approaches focus on “one-size-fits-all” technical provisions and/or pay little attention to local socio-cultural suitability. Through a sociological institutionalism lens, this article examines how the local socio-cultural characteristics of people reshape mobility culture in transit areas and lead to the potential emergence of locally based TOD concepts. Our discussions are guided by the socio-cultural mobility analysis framework, an extended version of the original mobility culture theory. This analytical framework divides mobility culture into land use, housing, and transport dimensions. Five TOD potential areas located in the periphery of Greater Jakarta, Indonesia, are presented as a research window in which data and information are collected through a mixture of primary surveys and documentary reviews. This article reveals that housing preference emerges as the most important aspect of reshaping mobility culture in transit areas in Indonesia.
{"title":"Socio-cultural characteristics of people and the shape of transit-oriented development (TOD) in Indonesia: A mobility culture perspective","authors":"H. Hasibuan, C. Permana","doi":"10.5198/jtlu.2022.1997","DOIUrl":"https://doi.org/10.5198/jtlu.2022.1997","url":null,"abstract":"Recent literature argues that many transit-oriented development (TOD) projects have failed because their approaches focus on “one-size-fits-all” technical provisions and/or pay little attention to local socio-cultural suitability. Through a sociological institutionalism lens, this article examines how the local socio-cultural characteristics of people reshape mobility culture in transit areas and lead to the potential emergence of locally based TOD concepts. Our discussions are guided by the socio-cultural mobility analysis framework, an extended version of the original mobility culture theory. This analytical framework divides mobility culture into land use, housing, and transport dimensions. Five TOD potential areas located in the periphery of Greater Jakarta, Indonesia, are presented as a research window in which data and information are collected through a mixture of primary surveys and documentary reviews. This article reveals that housing preference emerges as the most important aspect of reshaping mobility culture in transit areas in Indonesia.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44301988","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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