The impact of shared mobility services on housing values near subway stations

Vacant land is a ubiquitous urban phenomenon. The existence of vacant land in a neighborhood can either lower or heighten nearby housing values, depending on its relative development potential. However, this condition has rarely been examined longitudinally, nor has it been examined thoroughly across different socioeconomic conditions. This research examines the impact of vacant lots on housing premiums using 2006–2015 single-family home sale transactions in the City of Minneapolis, Minnesota. The study area was divided into low-, middle-, and high-income levels. The results show that vacant lands have negative impacts on nearby single-family houses and these impacts differ by income level per neighborhood. The study sheds light on how planners and researchers should conceive vacant lands differently in various surroundings and conditions.

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The impact of property taxation on housing values and rents

Journal of Urban Economics ◽

10.1016/0094-1190(81)90017-6 ◽

1981 ◽

Vol 10 (2) ◽

pp. 240-255 ◽

Cited By ~ 17

Author(s):

Richard Dusansky ◽

Melvin Ingber ◽

Nicholas Karatjas

Keyword(s):

Housing Values ◽

Property Taxation ◽

The Impact

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Dial-a-Ride Problem with Users’ Accept/Reject Decisions Based on Service Utilities

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198120940307 ◽

2020 ◽

Vol 2674 (10) ◽

pp. 55-67

Author(s):

Xiaotong Dong ◽

David Rey ◽

S. Travis Waller

Keyword(s):

Minimum Cost ◽

Collective Choice ◽

Profit Margin ◽

User Preference ◽

Computational Time ◽

Optimal Solutions ◽

Mobility Service ◽

Shared Mobility ◽

Computationally Expensive ◽

The Impact

The classic dial-a-ride problem (DARP) aims at designing the minimum-cost routing that accommodates all requests under a set of constraints. However, several modeling and computational challenges have hindered the successful deployment of dial-a-ride solutions. This work proposes incorporating user preference decisions within a rich DARP formulation. Specifically, it is considered that two travel modes are available: a shared mobility (DARP) service and a private travel option. Utility functions for each travel mode are integrated and it is assumed that the utility of the shared mobility service depends on the collective choice of travelers whereas the utility of private travel is fixed. Assuming that travelers are rational and seek to maximize their trip utility, extra variables and constraints are added to ensure that all requests are served by the mode with the higher utility. The behavior of the proposed integrated DARP with formulation of user preference constraints is examined by comparing the optimal solutions and computational time of this model with its classic DARP counterpart. Furthermore, the impact of various formulations of fare and the tolerance of the integrated DARP model is explored. Results show that user-personalized fare formulation improves model tolerance and profit margin, albeit it is rather computationally expensive.

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